{ "total": 603, "topics": [ { "id": 108460, "title": "Competition is Finalized - Congrats to our Winners! ", "comment_count": 13, "views": 0, "votes": 12 }, { "id": 97606, "title": "Welcome!", "comment_count": 33, "views": 0, "votes": 31 }, { "id": 107520, "title": "APTOS Symposium Call for Interest", "comment_count": 11, "views": 0, "votes": 10 }, { "id": 97605, "title": "Official external data thread", "comment_count": 121, "views": 0, "votes": 30 }, { "id": 716684, "title": " Need help with a 5-class Diabetic Retinopathy model – Mixed predictions despite trying multiple fixes", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 477997, "title": "Can someone please provide me with the test labels?", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 108065, "title": "1st place solution summary", "comment_count": 115, "views": 0, "votes": 303 }, { "id": 266712, "title": "labels of Test data", "comment_count": 1, "views": 0, "votes": 7 }, { "id": 100440, "title": "SHAP model explainability and diabetic retinopathy", "comment_count": 5, "views": 0, "votes": 20 }, { "id": 108017, "title": "37th Place Solution(And Let's talk about CV and private score)", "comment_count": 7, "views": 0, "votes": 8 }, { "id": 346859, "title": "Research work", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 308646, "title": " image processing of the retinal fundus!", "comment_count": 2, "views": 0, "votes": null }, { "id": 116162, "title": "Why most of the winning solution choose regression approach over classification?", "comment_count": 2, "views": 0, "votes": 5 }, { "id": 294500, "title": "Labeling test images for research work", "comment_count": 2, "views": 0, "votes": 6 }, { "id": 98239, "title": "Regression vs Classification ? ", "comment_count": 30, "views": 0, "votes": 18 }, { "id": 102839, "title": "Color Channels", "comment_count": 2, "views": 0, "votes": null }, { "id": 99353, "title": "Some Tips", "comment_count": 114, "views": 0, "votes": 190 }, { "id": 245262, "title": "Solution File", "comment_count": 0, "views": 0, "votes": 10 }, { "id": 242070, "title": "APTOS-2019 Data Acquisition Condition", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 231381, "title": "No Color Preprocessing Performs Better than CLAHE, Gaussian, and Combination of CLAHE and Gaussian", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 164080, "title": "Anyone using google colab", "comment_count": 4, "views": 0, "votes": null }, { "id": 219589, "title": "Private test set ", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 219019, "title": "Make Public Preprocessed Version of APTOS Data", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 97893, "title": "Ordinal Regression", "comment_count": 6, "views": 0, "votes": 34 }, { "id": 135427, "title": "Can't download data using api", "comment_count": 4, "views": 0, "votes": 5 }, { "id": 99946, "title": "Tips on training(with kernels)", "comment_count": 7, "views": 0, "votes": 12 }, { "id": 201590, "title": "Paper/method of the winning teams", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 189643, "title": "Using Colab", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 104229, "title": "Apex install ", "comment_count": 4, "views": 0, "votes": 8 }, { "id": 105816, "title": "Anyone uses Google Colab pls help.", "comment_count": 9, "views": 0, "votes": 1 }, { "id": 108058, "title": "7th place solution w/ code [Catalyst, Albumentations]", "comment_count": 23, "views": 0, "votes": 102 }, { "id": 105510, "title": "New concurrent GPU session limits", "comment_count": 104, "views": 0, "votes": -198 }, { "id": 108030, "title": "8th Place Solution ", "comment_count": 32, "views": 0, "votes": 90 }, { "id": 102613, "title": "Green is all u(may) need!!", "comment_count": 13, "views": 0, "votes": 37 }, { "id": 108422, "title": "Public and Private Test Set", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 114637, "title": "Are the labels of these testing images available?", "comment_count": 8, "views": 0, "votes": 15 }, { "id": 100084, "title": "why cv2.imread() run out of memory?", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 109401, "title": "112th place solution (Fastai student)", "comment_count": 3, "views": 0, "votes": 6 }, { "id": 116078, "title": "Can the winners please share their Test Labels?", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 104686, "title": "Group Normalization", "comment_count": 20, "views": 0, "votes": 34 }, { "id": 98168, "title": "How To Make A Valid Submission?", "comment_count": 36, "views": 0, "votes": 85 }, { "id": 97610, "title": "Competition Metric", "comment_count": 10, "views": 0, "votes": 37 }, { "id": 114033, "title": "Is the private dataset going to be released?", "comment_count": 2, "views": 0, "votes": 13 }, { "id": 104084, "title": "Small Notes on How to Use B6-B7 Keras EfficientNet", "comment_count": 26, "views": 0, "votes": 26 }, { "id": 98768, "title": "Not able to add utility scripts", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 103475, "title": "problem of validation dataset in fastai", "comment_count": 3, "views": 0, "votes": null }, { "id": 107960, "title": "5th place solution", "comment_count": 24, "views": 0, "votes": 69 }, { "id": 120985, "title": "Core Selection", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 107500, "title": "New wave of people", "comment_count": 6, "views": 0, "votes": 7 }, { "id": 99954, "title": "Anyone tried capsule network?", "comment_count": 3, "views": 0, "votes": null }, { "id": 97860, "title": "CV vs LB Scores", "comment_count": 139, "views": 0, "votes": 63 }, { "id": 98374, "title": "Submission CSV Not Found ... ", "comment_count": 27, "views": 0, "votes": 10 }, { "id": 108307, "title": "🏅Gold Medal Solutions 🏅", "comment_count": 20, "views": 0, "votes": 92 }, { "id": 107944, "title": "13th place solution", "comment_count": 22, "views": 0, "votes": 62 }, { "id": 111078, "title": "Anyone in top 50 with submission based on only classification and softmax outputs?", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 102468, "title": "Kernel Error. Need Help.", "comment_count": 63, "views": 0, "votes": 33 }, { "id": 107958, "title": "11th place solution", "comment_count": 26, "views": 0, "votes": 32 }, { "id": 107926, "title": "4th place solution (2nd after LB cleaning)", "comment_count": 90, "views": 0, "votes": 144 }, { "id": 104183, "title": "Since PyTorch Updated，Nvidia apex failed to intall.", "comment_count": 19, "views": 0, "votes": 18 }, { "id": 109594, "title": "32nd place solution", "comment_count": 1, "views": 0, "votes": 4 }, { "id": 109698, "title": "Error while committing kernel", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 105975, "title": "[IMP Fix] Fixing failing commits", "comment_count": 8, "views": 0, "votes": 5 }, { "id": 107987, "title": "4th place solution", "comment_count": 36, "views": 0, "votes": 61 }, { "id": 108711, "title": "#16 Solution", "comment_count": 5, "views": 0, "votes": 10 }, { "id": 107076, "title": "Can we get NVIDIA Apex in docker", "comment_count": 6, "views": 0, "votes": 4 }, { "id": 109113, "title": " 113th place solution - some notes from the kaggle freshman", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 107910, "title": "LB Progress during APTOS2019 competition", "comment_count": 5, "views": 0, "votes": 7 }, { "id": 107990, "title": "9th place solution", "comment_count": 10, "views": 0, "votes": 53 }, { "id": 108119, "title": "46th place with classification and barely using external data.", "comment_count": 18, "views": 0, "votes": 24 }, { "id": 107864, "title": "Thank you for this wonderful competition : My Personal Write up", "comment_count": 49, "views": 0, "votes": 89 }, { "id": 107916, "title": "17th place solution", "comment_count": 14, "views": 0, "votes": 40 }, { "id": 107995, "title": "12th place solution", "comment_count": 20, "views": 0, "votes": 27 }, { "id": 107991, "title": "Good riddance", "comment_count": 19, "views": 0, "votes": 27 }, { "id": 109059, "title": "Gold Medal Solutions 🏅of Semantic Segmentation and Instance Segmentation", "comment_count": 1, "views": 0, "votes": -4 }, { "id": 108506, "title": "Feel for yelan!!", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 108209, "title": "78th place solution and thoughts (first medal!)", "comment_count": 6, "views": 0, "votes": 16 }, { "id": 108652, "title": "Reuqest to use Diabetic Retinopathy for further study and research paper publication", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 108032, "title": "Circle to Rectangle Preprocessing", "comment_count": 3, "views": 0, "votes": 27 }, { "id": 107914, "title": "Congrats and LB shake", "comment_count": 50, "views": 0, "votes": 12 }, { "id": 107832, "title": "Public sharing in ODS.ai", "comment_count": 15, "views": 0, "votes": 52 }, { "id": 108689, "title": "So why were 3 top10 teams cleaned up?", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 108249, "title": "130th solution - 92.0 private LB", "comment_count": 6, "views": 0, "votes": 8 }, { "id": 108362, "title": "Takeaways from a new kaggler", "comment_count": 2, "views": 0, "votes": 7 }, { "id": 108172, "title": "Is private data proving cheating?", "comment_count": 16, "views": 0, "votes": 11 }, { "id": 108227, "title": "[UPDATED] Tricks I wish I have tried", "comment_count": 8, "views": 0, "votes": 6 }, { "id": 108158, "title": "Modified classification loss function to achieve good performance similar to MSE loss in regression", "comment_count": 1, "views": 0, "votes": 12 }, { "id": 108368, "title": "New private LB! ", "comment_count": 20, "views": 0, "votes": 1 }, { "id": 107928, "title": "How many of you out of medals because of non-correct selection of submissions? ", "comment_count": 19, "views": 0, "votes": 16 }, { "id": 108185, "title": "Possible to use ImageDataGenerator method from_from_directory with this Kaggle dataset?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 108222, "title": "Usually, how long does it take organizers to verify the results?", "comment_count": 5, "views": 0, "votes": 6 }, { "id": 107323, "title": "Kernel timeouts status", "comment_count": 73, "views": 0, "votes": 31 }, { "id": 107996, "title": "142nd place solution", "comment_count": 3, "views": 0, "votes": 17 }, { "id": 100985, "title": "Classification scores", "comment_count": 34, "views": 0, "votes": 17 }, { "id": 107998, "title": "Is this game wrong or am I wrong?", "comment_count": 2, "views": 0, "votes": 13 }, { "id": 108019, "title": "Any Top Winner Using FastAI with EfficientNet Regression ?", "comment_count": 10, "views": 0, "votes": 4 }, { "id": 107999, "title": "HOW did you find your best augmentations?", "comment_count": 6, "views": 0, "votes": 7 }, { "id": 108351, "title": "What is happening?", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 108046, "title": "163rd place report and code repository", "comment_count": 6, "views": 0, "votes": 6 }, { "id": 108542, "title": "Using Dataset for academic research purpose ", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 108145, "title": "83th Place Solution w/ source code", "comment_count": 4, "views": 0, "votes": 6 }, { "id": 107369, "title": "Deadline Extension to September 7", "comment_count": 22, "views": 0, "votes": 36 }, { "id": 108072, "title": "12th place solution", "comment_count": 1, "views": 0, "votes": 16 }, { "id": 107768, "title": "Last minute information about private test (shameful confession from a kaggle novice)", "comment_count": 15, "views": 0, "votes": 10 }, { "id": 107954, "title": "Congratulations to all ! 54th Solution.", "comment_count": 4, "views": 0, "votes": 12 }, { "id": 107760, "title": "Good Luck to all 👍", "comment_count": 25, "views": 0, "votes": 9 }, { "id": 108013, "title": "99th Place Solution", "comment_count": 5, "views": 0, "votes": 6 }, { "id": 108097, "title": "198th place solution summary", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 108057, "title": "76nd place solution with code", "comment_count": 2, "views": 0, "votes": 12 }, { "id": 108007, "title": "58 place solution", "comment_count": 5, "views": 0, "votes": 8 }, { "id": 108301, "title": "Solution based on retinal texture", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 107945, "title": "Things I don't like about this competition", "comment_count": 1, "views": 0, "votes": 19 }, { "id": 107948, "title": "Congrats to all !! 108th place solution | first medal !! ", "comment_count": 7, "views": 0, "votes": 5 }, { "id": 106155, "title": "Rethink image size", "comment_count": 110, "views": 0, "votes": 27 }, { "id": 108243, "title": "Congrats", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 107947, "title": "Kernels for 0.926 on private test set (37-50 place on LB)", "comment_count": 1, "views": 0, "votes": 13 }, { "id": 108048, "title": "187th Place Approach + Some Insights", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 108143, "title": "Private score of 0.923 - Simple Technique", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 107691, "title": "Reminder: select your final submissions soon", "comment_count": 8, "views": 0, "votes": 7 }, { "id": 107913, "title": "Huge Huge Huge Shake-up!", "comment_count": 7, "views": 0, "votes": 3 }, { "id": 107837, "title": "[Final Checkup] Double Check everything!!", "comment_count": 7, "views": 0, "votes": 4 }, { "id": 107923, "title": "Congrats to the winners (88th place solution)", "comment_count": 2, "views": 0, "votes": 8 }, { "id": 107975, "title": "Congrats to all! (67th solution with code)", "comment_count": 3, "views": 0, "votes": 6 }, { "id": 105763, "title": "Private LB probing - there might be no shakeup", "comment_count": 18, "views": 0, "votes": 25 }, { "id": 107919, "title": "Congrats to the winners ! 137th solution", "comment_count": 1, "views": 0, "votes": 6 }, { "id": 106844, "title": "Time to think about LB shake", "comment_count": 42, "views": 0, "votes": 12 }, { "id": 105889, "title": "[Can't Commit]There is something wrong with the kernel again.", "comment_count": 60, "views": 0, "votes": 47 }, { "id": 105511, "title": "[Busted]+[Here we go again] Is this cheating? <1h on kaggle and 1 submission with 0.817 score", "comment_count": 67, "views": 0, "votes": 39 }, { "id": 107853, "title": "Struggling to improve CV score at last", "comment_count": 12, "views": 0, "votes": 4 }, { "id": 107959, "title": "Competition next year? and feedback", "comment_count": 0, "views": 0, "votes": 6 }, { "id": 108023, "title": "Models compared to expert doctor/team of doctors", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 108081, "title": "what's your highest private score? why you did not choose that one?", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 108042, "title": "Shake up, what shake up? Trust your CV", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 107165, "title": "Submission error ", "comment_count": 27, "views": 0, "votes": 19 }, { "id": 107713, "title": "20 minute models?", "comment_count": 10, "views": 0, "votes": 3 }, { "id": 108000, "title": "please release private dataset", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 107688, "title": "Will there be a delay of 9 hours for release of Private LB?", "comment_count": 11, "views": 0, "votes": 4 }, { "id": 107949, "title": "Any top Kernal with Keras implementation ?", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 106488, "title": "Problem of submission", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 107940, "title": "84th place solution", "comment_count": 1, "views": 0, "votes": 4 }, { "id": 107924, "title": "Hope to have all test data released", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 107790, "title": "what's your estimate for the leaderboard shake up?", "comment_count": 20, "views": 0, "votes": null }, { "id": 107917, "title": "Congratulations to all!", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 108075, "title": "why submission differ...", "comment_count": 4, "views": 0, "votes": null }, { "id": 107976, "title": "Congrats to all Winner 90th official (92.2)and 50th(92.6) unofficial solution", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 107267, "title": "I'm concerning huge shake-up", "comment_count": 14, "views": 0, "votes": 16 }, { "id": 108064, "title": "Top Performers Size of Training Data and System Configurations", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 107862, "title": "Competition about to end", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 107876, "title": "Kernel Threw Exception", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 107922, "title": "\"Submitted after competition deadline\"", "comment_count": 3, "views": 0, "votes": null }, { "id": 107920, "title": "LB verification", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 106177, "title": "Solve train-test distribution difference via PseudoLabeling", "comment_count": 3, "views": 0, "votes": 11 }, { "id": 107198, "title": "ERROR! Again ", "comment_count": 12, "views": 0, "votes": 13 }, { "id": 107880, "title": "Is private dataset ok for kernel using final submission?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 108089, "title": "Open Letter", "comment_count": 6, "views": 0, "votes": -15 }, { "id": 107946, "title": "Could have been top 50 if had selected my ....", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 107912, "title": "30 minutes left! Will results be available immediately?", "comment_count": 3, "views": 0, "votes": null }, { "id": 107909, "title": "Kernel only submissions - why?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 107900, "title": "Core dump at commit?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 107642, "title": "Any last minute tips ??", "comment_count": 9, "views": 0, "votes": 1 }, { "id": 104981, "title": "Ensembling Tips", "comment_count": 10, "views": 0, "votes": 41 }, { "id": 105305, "title": "Must-see Kernels for 'APTOS 2019 Blindness Detection'", "comment_count": 12, "views": 0, "votes": 46 }, { "id": 107245, "title": "Submission takes longer than usual?", "comment_count": 14, "views": 0, "votes": 10 }, { "id": 107820, "title": "Does own dataset occupy disk space during private reruning stage?", "comment_count": 4, "views": 0, "votes": null }, { "id": 107290, "title": "Importing older versions of dataset to kernels", "comment_count": 1, "views": 0, "votes": 5 }, { "id": 105563, "title": "Struggling to improve (ResNets and EfficientNets)", "comment_count": 64, "views": 0, "votes": 28 }, { "id": 107118, "title": "Robust ensemble methods", "comment_count": 2, "views": 0, "votes": 11 }, { "id": 107714, "title": "Submission Error", "comment_count": 3, "views": 0, "votes": null }, { "id": 107377, "title": "How do you use KFolds with fastai? ", "comment_count": 7, "views": 0, "votes": null }, { "id": 107588, "title": "Surprisingly low public score", "comment_count": 8, "views": 0, "votes": null }, { "id": 107307, "title": "Please help me!RuntimeError: CUDA out of memory", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 107529, "title": "qwk might be unstable", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 107199, "title": "ARE YOU KIDDING ME???????", "comment_count": 1, "views": 0, "votes": 5 }, { "id": 107035, "title": "Notification from Kaggle when submission is processed", "comment_count": 6, "views": 0, "votes": 8 }, { "id": 107088, "title": "The third eye is watching you guys !", "comment_count": 3, "views": 0, "votes": 12 }, { "id": 107499, "title": "Error Again ?", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 107181, "title": "Adaptive Regression Loss", "comment_count": 2, "views": 0, "votes": 12 }, { "id": 107430, "title": "Kernel runs for 1h but after commit returns Timeout", "comment_count": 3, "views": 0, "votes": null }, { "id": 107298, "title": "What's your CV now??", "comment_count": 6, "views": 0, "votes": null }, { "id": 107202, "title": "How to use K-fold in this competitions, and K-fold will really boost the LB Score?", "comment_count": 7, "views": 0, "votes": 4 }, { "id": 107490, "title": "unable to open kernels in view mode", "comment_count": 3, "views": 0, "votes": 0 }, { "id": 107305, "title": "Submission Status", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 107470, "title": "Errors when committing a valid tested notebook", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 107434, "title": "Keras backend for pretrained model?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 107403, "title": "Did anyone experience \"Output path '/models/bestmodel (1).pth' has invalid characters\" ?", "comment_count": 2, "views": 0, "votes": null }, { "id": 107392, "title": "I am still getting submission errors ", "comment_count": 3, "views": 0, "votes": 0 }, { "id": 107371, "title": "Error: While loading model says\"RuntimeError: Error(s) in loading state_dict for ResNet\"", "comment_count": 3, "views": 0, "votes": null }, { "id": 107210, "title": "New and old dataset", "comment_count": 2, "views": 0, "votes": null }, { "id": 107436, "title": "Let's enjoy the last struggling.", "comment_count": 0, "views": 0, "votes": -3 }, { "id": 106289, "title": "No option to Fork the existing kernel", "comment_count": 20, "views": 0, "votes": 18 }, { "id": 106559, "title": "Why doesn't this EfficientNet model work?", "comment_count": 12, "views": 0, "votes": 7 }, { "id": 107012, "title": "Two question, about EfficientNet and Rescale", "comment_count": 6, "views": 0, "votes": null }, { "id": 106622, "title": "OpenCV Memory Leak?", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 106495, "title": "Just Curious", "comment_count": 13, "views": 0, "votes": 4 }, { "id": 107209, "title": "Submissions stuck for last 5 hours ?", "comment_count": 3, "views": 0, "votes": null }, { "id": 107065, "title": "Legality of fast submission", "comment_count": 3, "views": 0, "votes": null }, { "id": 106599, "title": "Kernel Submission Run Several Hours", "comment_count": 9, "views": 0, "votes": 2 }, { "id": 106937, "title": "Help !!", "comment_count": 4, "views": 0, "votes": null }, { "id": 106935, "title": "QWK optimization vs. bayesian statistics", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 106948, "title": "Notebook Error", "comment_count": 1, "views": 0, "votes": null }, { "id": 106581, "title": "Kernel Error when submitting", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 107038, "title": "Submission CSV Not Found", "comment_count": 9, "views": 0, "votes": null }, { "id": 105100, "title": "how to use 2015 data to improve accuracy?", "comment_count": 48, "views": 0, "votes": 14 }, { "id": 106609, "title": "TTA performance in this competition", "comment_count": 9, "views": 0, "votes": 3 }, { "id": 107067, "title": "Help!! Uploading Offline Pretrained Keras Model ", "comment_count": 1, "views": 0, "votes": null }, { "id": 107071, "title": "Submission Error CSV Not Found", "comment_count": 2, "views": 0, "votes": -1 }, { "id": 107018, "title": "Different image format in dataset is bad or not?", "comment_count": 2, "views": 0, "votes": null }, { "id": 106936, "title": "Keras Training on Old Data ", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 107006, "title": "Submission file not found -- yet", "comment_count": 2, "views": 0, "votes": null }, { "id": 105790, "title": "Help needed in doing K-fold CV right", "comment_count": 9, "views": 0, "votes": 1 }, { "id": 106904, "title": "kaggle outage as usual ?", "comment_count": 1, "views": 0, "votes": null }, { "id": 107212, "title": "possible data leak way", "comment_count": 3, "views": 0, "votes": -9 }, { "id": 105916, "title": "Reasons this competition deadline should be extended", "comment_count": 16, "views": 0, "votes": 16 }, { "id": 106900, "title": "More data but well worse results on same model", "comment_count": 3, "views": 0, "votes": null }, { "id": 106567, "title": "Trying to ensemble on 5 folds using StratifiedKFold", "comment_count": 4, "views": 0, "votes": null }, { "id": 106043, "title": "Models other than Efficientnets that are working for this competition", "comment_count": 7, "views": 0, "votes": 3 }, { "id": 106869, "title": "QWK of 0.97 on validation but 0.030 on submission?", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 106762, "title": "My kernel times out even though when I commit its <9 hours", "comment_count": 1, "views": 0, "votes": null }, { "id": 106842, "title": "Tuning regression threshold?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 106841, "title": "Numbers in the section “committed versions”?", "comment_count": 1, "views": 0, "votes": null }, { "id": 106447, "title": "How about doing research using this competition dataset?", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 105695, "title": "Training Speed Up with Local Image Store using h5py package", "comment_count": 2, "views": 0, "votes": 7 }, { "id": 106579, "title": "Unknown initializer: EfficientConv2DKernelInitializer", "comment_count": 3, "views": 0, "votes": null }, { "id": 105890, "title": "commit error", "comment_count": 9, "views": 0, "votes": 6 }, { "id": 106694, "title": "What's your estimate of shake-up??", "comment_count": 1, "views": 0, "votes": null }, { "id": 105812, "title": "Disappointed with new GPU Limit", "comment_count": 5, "views": 0, "votes": 10 }, { "id": 106479, "title": "looking for team members (preferably top 100)", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 105968, "title": "Commit Error [SOLUTION]", "comment_count": 10, "views": 0, "votes": 9 }, { "id": 106658, "title": "Past two days, my kernel is showing preparing?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 105896, "title": "What's wrong with the kernel? I can not submit since this morning(UTC+8)", "comment_count": 6, "views": 0, "votes": 11 }, { "id": 105989, "title": "Outage Resolved (August 27, 8:30 PST)", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 106326, "title": "Looking for teammates ", "comment_count": 11, "views": 0, "votes": 1 }, { "id": 105903, "title": "Error while comiting kernel while generating file", "comment_count": 5, "views": 0, "votes": 5 }, { "id": 104915, "title": "Improvements after 0.8 LB", "comment_count": 12, "views": 0, "votes": 9 }, { "id": 105934, "title": "[Error after committing] Could anyone help?", "comment_count": 8, "views": 0, "votes": 3 }, { "id": 105906, "title": "Kernel Committing problem", "comment_count": 7, "views": 0, "votes": 11 }, { "id": 105873, "title": "\"Freezing\" layers in a model", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 105894, "title": "no output file", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 106076, "title": "Ensembling different models but ended with a LB score of .765", "comment_count": 4, "views": 0, "votes": null }, { "id": 106132, "title": "Failed to download ResNet from Kaggle kernel", "comment_count": 2, "views": 0, "votes": -1 }, { "id": 105880, "title": "[Help]Submission error with unknown issue", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 105981, "title": "Kaggle member notices the commit error was fixed", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 106074, "title": "this.renderSubTitleBar()", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 105771, "title": "How to train 2015data as a pre-training model of 2019data？", "comment_count": 17, "views": 0, "votes": 2 }, { "id": 105895, "title": "Mysterious error on kernel commit after kernel \"complete\"s without errors", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 105900, "title": "Kernel issue may be solved?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 105153, "title": "Looking for Team to merge", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 105564, "title": "Quick work around on \"Interactive GPU=1 session\"", "comment_count": 1, "views": 0, "votes": 11 }, { "id": 105882, "title": "Still cant submit after reading discussion", "comment_count": 2, "views": 0, "votes": null }, { "id": 105420, "title": "Add diversity with Ordinal Regression", "comment_count": 3, "views": 0, "votes": 6 }, { "id": 105834, "title": "Same solution submitted gives different lb scores", "comment_count": 1, "views": 0, "votes": null }, { "id": 104818, "title": "How far can 256x256 image size go?", "comment_count": 37, "views": 0, "votes": 24 }, { "id": 105391, "title": "Hint", "comment_count": 10, "views": 0, "votes": 4 }, { "id": 105299, "title": "Interesting negative LB score", "comment_count": 4, "views": 0, "votes": 0 }, { "id": 105781, "title": "weird cross validation ", "comment_count": 2, "views": 0, "votes": null }, { "id": 105625, "title": "Bayesian Deep Learning Benchmarks", "comment_count": 0, "views": 0, "votes": 7 }, { "id": 105786, "title": "strange place movement", "comment_count": 2, "views": 0, "votes": null }, { "id": 105754, "title": "Learn working with medical image data", "comment_count": 1, "views": 0, "votes": null }, { "id": 105745, "title": "kernel output variation using same weights", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 103901, "title": "Kernel submission error...again!!", "comment_count": 10, "views": 0, "votes": 1 }, { "id": 103187, "title": "Ensembling success?", "comment_count": 9, "views": 0, "votes": 3 }, { "id": 105195, "title": "Vanilla(Shallow) model performance", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 105546, "title": "GPU restrictions, so any one wants to team up ?", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 105670, "title": "Looking for Team mates", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 103864, "title": "I want to know about the time limit.", "comment_count": 7, "views": 0, "votes": 4 }, { "id": 105520, "title": "Augmentation and Data Pipelines thread ", "comment_count": 0, "views": 0, "votes": 6 }, { "id": 102621, "title": "What is the highest LB score could you achieve using only data from this competition?", "comment_count": 34, "views": 0, "votes": 9 }, { "id": 105378, "title": "\"Kernel Timeout\" error after 2-3 hours", "comment_count": 7, "views": 0, "votes": null }, { "id": 105415, "title": "How can enable code's hint in kernel?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 105491, "title": "EfficientNet not implementing", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 104383, "title": "[off-topic] New State of the Art AI Optimizer: Rectified Adam (RAdam)", "comment_count": 15, "views": 0, "votes": 17 }, { "id": 104813, "title": "Public score 0.000 again and again...", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 104754, "title": "Images with different labels in train and test", "comment_count": 9, "views": 0, "votes": 9 }, { "id": 104729, "title": "how to properly train an EfficientNet?", "comment_count": 7, "views": 0, "votes": 4 }, { "id": 104692, "title": "Does the private test set have the same image size distribution as the public test set?", "comment_count": 4, "views": 0, "votes": 24 }, { "id": 103743, "title": "EfficientNet B6 & B7 Weights Released", "comment_count": 25, "views": 0, "votes": 33 }, { "id": 101878, "title": "Need experienced Teammates!", "comment_count": 4, "views": 0, "votes": 5 }, { "id": 105134, "title": "Submission Error ", "comment_count": 8, "views": 0, "votes": null }, { "id": 105266, "title": "Kernel died always while training", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 104689, "title": "Why can't we get good scores with only old competition dataset?", "comment_count": 1, "views": 0, "votes": 10 }, { "id": 102289, "title": "EfficientNets vs ResNets in PyTorch", "comment_count": 13, "views": 0, "votes": 24 }, { "id": 104992, "title": "We can train the model during submitting", "comment_count": 12, "views": 0, "votes": null }, { "id": 105105, "title": "Anyone wants to team up ? ", "comment_count": 1, "views": 0, "votes": null }, { "id": 104908, "title": "Learning Rate Tricks", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 104967, "title": "Has anyone achieved a LB score greater than 0.78 using pytorch?", "comment_count": 3, "views": 0, "votes": null }, { "id": 104255, "title": "GPU out of memory", "comment_count": 5, "views": 0, "votes": 0 }, { "id": 105002, "title": "Small concern regarding submission kernels run-time", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 104909, "title": "Submission always timeout", "comment_count": 5, "views": 0, "votes": null }, { "id": 104961, "title": "fastai preprocessing", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 104121, "title": "Slow training process", "comment_count": 27, "views": 0, "votes": 3 }, { "id": 100815, "title": "Discrepancies between CV/LB", "comment_count": 75, "views": 0, "votes": 67 }, { "id": 100280, "title": "Comparison of different models", "comment_count": 13, "views": 0, "votes": 7 }, { "id": 102342, "title": "Seed change resulting in drastic changes in LB", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 104730, "title": "Am i having public LB problem?", "comment_count": 6, "views": 0, "votes": 2 }, { "id": 104855, "title": "Imagenet normalization", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 104854, "title": "Is Messidor Dataset Correctly Label ?", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 100809, "title": "[Updated 7/22] How to deal with imbalanced data?", "comment_count": 19, "views": 0, "votes": 7 }, { "id": 103572, "title": "team up", "comment_count": 20, "views": 0, "votes": 2 }, { "id": 104274, "title": "Train one model as a classifier and a regression task", "comment_count": 6, "views": 0, "votes": 5 }, { "id": 98849, "title": "How to debug \"Kernel Threw Exception\" with binary search", "comment_count": 12, "views": 0, "votes": 33 }, { "id": 100651, "title": "Only pre trained?", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 104826, "title": "kernel not loading SyntaxError: Unexpected token < in JSON at position 1", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 104803, "title": "Facing Kernel Threw Exception Again!", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 98156, "title": "If you're having trouble submitting", "comment_count": 135, "views": 0, "votes": 16 }, { "id": 104687, "title": "pre-processing", "comment_count": 1, "views": 0, "votes": null }, { "id": 102998, "title": "Getting error even with fast submission. Kaggle team what's up??", "comment_count": 8, "views": 0, "votes": 5 }, { "id": 100186, "title": "Public EfficientNet Keras Weights and Utility Script", "comment_count": 13, "views": 0, "votes": 42 }, { "id": 104188, "title": "Teaming Up", "comment_count": 5, "views": 0, "votes": null }, { "id": 103873, "title": "Best ensemble method ?", "comment_count": 22, "views": 0, "votes": 7 }, { "id": 104446, "title": "Update to file paths for second data sources", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 98059, "title": "Resized dataset of previous competition", "comment_count": 12, "views": 0, "votes": 84 }, { "id": 103342, "title": "An effective image processing method for detection of diabetic retinopathy diseases from retinal fundus images ", "comment_count": 2, "views": 0, "votes": 25 }, { "id": 104080, "title": "characters in test images", "comment_count": 2, "views": 0, "votes": 8 }, { "id": 104379, "title": "New to Kaggle and looking for a team-mate/mentor", "comment_count": 1, "views": 0, "votes": null }, { "id": 104291, "title": "Surprising Kappa score on the test set", "comment_count": 4, "views": 0, "votes": 0 }, { "id": 104294, "title": "TensorFlow Warning - Submission CSV not found", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 104018, "title": "Are there corrupt images in the test set?", "comment_count": 2, "views": 0, "votes": 5 }, { "id": 102827, "title": "how to do cv correctly?", "comment_count": 16, "views": 0, "votes": 31 }, { "id": 104244, "title": "Forming team", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 103663, "title": "Difference between disease categories", "comment_count": 4, "views": 0, "votes": 5 }, { "id": 103880, "title": "Kernel: removing unwanted correlations in training data", "comment_count": 2, "views": 0, "votes": 11 }, { "id": 103023, "title": "A paper from Nature (24 July 2019) (2095 × 2095 image size)", "comment_count": 7, "views": 0, "votes": 30 }, { "id": 104184, "title": "Aptos 2019 Training Images (Preprocessed and cropped using Ben's preprocessing)", "comment_count": 2, "views": 0, "votes": 0 }, { "id": 99227, "title": "Common submission errors (and how to fix them)", "comment_count": 13, "views": 0, "votes": 31 }, { "id": 98914, "title": "Kernel out of Resources", "comment_count": 17, "views": 0, "votes": 11 }, { "id": 104072, "title": "Input data dissapeared", "comment_count": 2, "views": 0, "votes": null }, { "id": 103741, "title": "Need some help in saving the pre-processed image as image files", "comment_count": 6, "views": 0, "votes": null }, { "id": 100489, "title": "Removing duplicates", "comment_count": 4, "views": 0, "votes": null }, { "id": 103797, "title": "Why to remove duplicates? ", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 103916, "title": "score not improving", "comment_count": 1, "views": 0, "votes": null }, { "id": 99851, "title": "Unknown Submission Error", "comment_count": 9, "views": 0, "votes": -1 }, { "id": 103938, "title": "More Data", "comment_count": 2, "views": 0, "votes": null }, { "id": 103854, "title": "Guidelines for the Comprehensive Management of DR in India", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 99384, "title": "Anyone using colab with TPU?", "comment_count": 6, "views": 0, "votes": null }, { "id": 103846, "title": "Why will submit results directly lead to error?", "comment_count": 1, "views": 0, "votes": null }, { "id": 103689, "title": "multilabel classification and loss function", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 102718, "title": "How to submit fast during kernel outage", "comment_count": 13, "views": 0, "votes": 44 }, { "id": 103777, "title": "How many models have you bagged together ?", "comment_count": 2, "views": 0, "votes": null }, { "id": 103827, "title": "Big Data Competition", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 102773, "title": "Kernel Errors - Root Cause Fixed", "comment_count": 18, "views": 0, "votes": 29 }, { "id": 102152, "title": "MixUp Visualization : Does it make sense?", "comment_count": 14, "views": 0, "votes": 13 }, { "id": 103635, "title": "What is the time limit in submission", "comment_count": 3, "views": 0, "votes": null }, { "id": 103652, "title": "Submission: Loading Model versus Training Model", "comment_count": 1, "views": 0, "votes": null }, { "id": 97612, "title": "A previous Diabetic Retinopathy Detection competition for reference", "comment_count": 35, "views": 0, "votes": 150 }, { "id": 103403, "title": "submitting time over 9 hour", "comment_count": 2, "views": 0, "votes": null }, { "id": 98609, "title": "Anyone can tell me how to ensemble for this competion?", "comment_count": 5, "views": 0, "votes": null }, { "id": 101924, "title": "Original, unaltered training data of old competition", "comment_count": 4, "views": 0, "votes": 16 }, { "id": 102796, "title": "Unable to Improve with Old Data", "comment_count": 35, "views": 0, "votes": 9 }, { "id": 103420, "title": "Uploading your own pre-trained models", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 103407, "title": "Score fluctuations ", "comment_count": 3, "views": 0, "votes": null }, { "id": 103578, "title": "Kernel Threw Exception Error - please Help", "comment_count": 1, "views": 0, "votes": null }, { "id": 102604, "title": "SOTA in CNN's for ophthalmologic diseases (weekend reading).", "comment_count": 4, "views": 0, "votes": 19 }, { "id": 98895, "title": "Why Kernel Out of Resources?", "comment_count": 12, "views": 0, "votes": 5 }, { "id": 103291, "title": "LF Party member", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 102563, "title": "Pytorch popularity", "comment_count": 15, "views": 0, "votes": 12 }, { "id": 103450, "title": "Training vs Test image resolutions", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 103272, "title": "When I submit the submission.csv, the kernel will re-run again?", "comment_count": 3, "views": 0, "votes": null }, { "id": 103410, "title": "Submitting Pre-Trained Model", "comment_count": 1, "views": 0, "votes": null }, { "id": 103402, "title": "Article on medical image recognition. ", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 103091, "title": "How long is it taking you to run your kernel, GPU ?", "comment_count": 5, "views": 0, "votes": null }, { "id": 103344, "title": "Kaggle please fix the kernel error", "comment_count": 3, "views": 0, "votes": null }, { "id": 103327, "title": "How long does the submission take ?", "comment_count": 1, "views": 0, "votes": null }, { "id": 102812, "title": "Transfer learning question ", "comment_count": 2, "views": 0, "votes": 6 }, { "id": 98599, "title": "Submission error", "comment_count": 10, "views": 0, "votes": 8 }, { "id": 102943, "title": "Kernel errors", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 103227, "title": "Kernel trouble one more round?", "comment_count": 1, "views": 0, "votes": null }, { "id": 102471, "title": "HELP! Kernel error", "comment_count": 9, "views": 0, "votes": 15 }, { "id": 98856, "title": "Unreliable Labels ?", "comment_count": 31, "views": 0, "votes": 53 }, { "id": 103082, "title": "How do you switch from resnet 34 to resnet 50", "comment_count": 5, "views": 0, "votes": null }, { "id": 103279, "title": "[Still cant submit]", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 103012, "title": "Competition deadline extension", "comment_count": 0, "views": 0, "votes": 9 }, { "id": 103071, "title": "Why so much variation ??", "comment_count": 10, "views": 0, "votes": null }, { "id": 103189, "title": "Can someone link me to a kernel that is able to submit successfully? ", "comment_count": 4, "views": 0, "votes": null }, { "id": 103215, "title": "Tourch error on submission ( New)", "comment_count": 3, "views": 0, "votes": null }, { "id": 103149, "title": "Random training results", "comment_count": 1, "views": 0, "votes": null }, { "id": 102843, "title": "Quick Observation/Tip", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 102078, "title": "Single channel training & class weight calculate for multilabel ", "comment_count": 6, "views": 0, "votes": 6 }, { "id": 103153, "title": "Interactive Tools for ML, Deep Learning and Math", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 103148, "title": "How to choose validation dataset", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 103136, "title": "Kernel Submission Error", "comment_count": 1, "views": 0, "votes": null }, { "id": 103059, "title": "I'm keep getting an error whenever I submit my submission.", "comment_count": 4, "views": 0, "votes": 0 }, { "id": 102801, "title": "How to do validation properly?", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 103090, "title": "Cannot load model for inference", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 99289, "title": "Best single model", "comment_count": 78, "views": 0, "votes": 34 }, { "id": 98585, "title": "Submission error ~ No additional details", "comment_count": 18, "views": 0, "votes": 6 }, { "id": 103075, "title": "The kaggle kernel close after running over 1 hour, how could I train the model?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 102963, "title": "kernel timeout error", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 102696, "title": "Kernel Threw Exception Error", "comment_count": 8, "views": 0, "votes": 2 }, { "id": 103070, "title": "Kernels errors resolved (August 6, 15:50 PDT)", "comment_count": 13, "views": 0, "votes": -8 }, { "id": 103095, "title": "Pre trained data", "comment_count": 1, "views": 0, "votes": -3 }, { "id": 102803, "title": "Submission error but kernel runs well. Need help!!", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 102826, "title": "How properly do class balancing?", "comment_count": 5, "views": 0, "votes": null }, { "id": 102712, "title": "Getting around Kernel Threw Exception!", "comment_count": 4, "views": 0, "votes": 0 }, { "id": 102591, "title": "today! I went \"Kernel Threw Exception\", only me meet the problem?", "comment_count": 19, "views": 0, "votes": 7 }, { "id": 103020, "title": "How they evaluating the score", "comment_count": 2, "views": 0, "votes": null }, { "id": 102496, "title": "Do not submit. Today is error day in Kaggle", "comment_count": 14, "views": 0, "votes": 17 }, { "id": 102729, "title": "Pytorch vs. Fastai", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 102648, "title": "What do you do on \"duplicate\" train or test image", "comment_count": 1, "views": 0, "votes": 4 }, { "id": 102348, "title": "CallBack Kappa Metric actually useful?", "comment_count": 3, "views": 0, "votes": 6 }, { "id": 102837, "title": "Remove Data in Workspace - Kaggle kernels", "comment_count": 2, "views": 0, "votes": null }, { "id": 102829, "title": "K-Fold CV helps ?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 102547, "title": "Note on last night's submission outage", "comment_count": 86, "views": 0, "votes": -30 }, { "id": 102707, "title": "About the strategy of using the previous competition data", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 102804, "title": "Should we only commit pre-trained models only on kaggle kernel?", "comment_count": 1, "views": 0, "votes": null }, { "id": 102623, "title": "Kernel outage", "comment_count": 6, "views": 0, "votes": 3 }, { "id": 102483, "title": "Kernel Error When Submit Result", "comment_count": 9, "views": 0, "votes": 8 }, { "id": 102699, "title": "I think deformableConv is useful with this competition", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 102603, "title": "Why there still someone can submit?", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 102321, "title": "Ideas for Improvement?", "comment_count": 7, "views": 0, "votes": 3 }, { "id": 102570, "title": "Gradient accumulation in Keras", "comment_count": 1, "views": 0, "votes": 5 }, { "id": 101944, "title": "Get Rid of TTA!!", "comment_count": 6, "views": 0, "votes": 6 }, { "id": 101011, "title": "Cannot make submissions cause i used internet", "comment_count": 5, "views": 0, "votes": -4 }, { "id": 102481, "title": "Get kernel error as results of my submissions", "comment_count": 8, "views": 0, "votes": 3 }, { "id": 102666, "title": "Inference kernel : Test model", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 102503, "title": "I would like to ask how does everybody deal with large scale image data", "comment_count": 4, "views": 0, "votes": null }, { "id": 102538, "title": "Kernel Error Fixed", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 97670, "title": "Kernel Runtimes", "comment_count": 9, "views": 0, "votes": 6 }, { "id": 102073, "title": "Fixing the train-test resolution discrepancy", "comment_count": 5, "views": 0, "votes": 12 }, { "id": 102502, "title": "submit error today many times", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 102588, "title": "Copying from input data to working dir fails when submitted?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 102542, "title": "Are submissions always so troublesome?", "comment_count": 1, "views": 0, "votes": null }, { "id": 102332, "title": "Ideas for finding the matching eye?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 102318, "title": "attention transfer learning structure", "comment_count": 5, "views": 0, "votes": -2 }, { "id": 102297, "title": "when I use TTA ,I meet \"submission CSV not found\", but kernel success run success run, indeed help sincerely!", "comment_count": 12, "views": 0, "votes": 1 }, { "id": 101619, "title": "Image data normalization", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 102330, "title": "Three pitfalls to avoid in machine learning, we have all of them in this competition.", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 101934, "title": "Keras - use kappa metric callback for Imagegenerator", "comment_count": 1, "views": 0, "votes": 7 }, { "id": 101973, "title": "Open source weights of Efficientnet-B7 (for PyTorch)?", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 102179, "title": "Need some one to guide me please", "comment_count": 7, "views": 0, "votes": null }, { "id": 99846, "title": "image shape dataset of previous competition", "comment_count": 27, "views": 0, "votes": 37 }, { "id": 101768, "title": "Training from Scratch", "comment_count": 2, "views": 0, "votes": null }, { "id": 101595, "title": "How to use the previous competition data", "comment_count": 12, "views": 0, "votes": 2 }, { "id": 102191, "title": "Need Help, Having Problem Submitting the Kernel ", "comment_count": 4, "views": 0, "votes": null }, { "id": 101959, "title": "Diabetic Retinopahy Grading Guide", "comment_count": 0, "views": 0, "votes": 11 }, { "id": 102151, "title": "Can we use custom vision api", "comment_count": 1, "views": 0, "votes": null }, { "id": 99530, "title": "Need some teammates", "comment_count": 3, "views": 0, "votes": null }, { "id": 101936, "title": "How to build a good local validation set", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 102011, "title": "Why is it that few people use tensorflow in this game?", "comment_count": 7, "views": 0, "votes": 1 }, { "id": 101996, "title": "Different LB scores from exactly identical kernel?", "comment_count": 4, "views": 0, "votes": null }, { "id": 101848, "title": "about the old data", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 101985, "title": "why my submmit is always error?", "comment_count": 2, "views": 0, "votes": null }, { "id": 101971, "title": "submission Kernel Threw Exception", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 101952, "title": "Kernel threw exception", "comment_count": 0, "views": 0, "votes": -1 }, { "id": 97652, "title": "Any synchronous kernel competition has a data leakage from the private test set?", "comment_count": 9, "views": 0, "votes": 11 }, { "id": 101767, "title": "Make my trained models available for all?", "comment_count": 2, "views": 0, "votes": null }, { "id": 100740, "title": "Fast and easy way to check LB", "comment_count": 2, "views": 0, "votes": 10 }, { "id": 101495, "title": "why the downloaded test images is different to the \"id_code\" in test.csv file", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 97978, "title": "Public score taking forever to calculate", "comment_count": 19, "views": 0, "votes": 9 }, { "id": 101764, "title": "k-fold", "comment_count": 1, "views": 0, "votes": null }, { "id": 101733, "title": "Who used apex distributeddataparallel? I found that when using distributed, loss is nan", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 101366, "title": "Classification Ensemble: From 0.713 to [0.787 PB]", "comment_count": 4, "views": 0, "votes": 9 }, { "id": 100198, "title": "Hyper-parameters tuning ", "comment_count": 2, "views": 0, "votes": 8 }, { "id": 100790, "title": "Optimized rounder benefit?", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 101268, "title": "high score variance ", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 101519, "title": "can not create dataset", "comment_count": 2, "views": 0, "votes": null }, { "id": 101426, "title": "training", "comment_count": 2, "views": 0, "votes": -1 }, { "id": 100881, "title": "Teaming Up!!", "comment_count": 2, "views": 0, "votes": null }, { "id": 101467, "title": "why there is no \"output\" tab after i submit?", "comment_count": 1, "views": 0, "votes": null }, { "id": 100726, "title": "Does mixup make sense for regression task?", "comment_count": 8, "views": 0, "votes": 5 }, { "id": 101464, "title": "Submission error, kernel time out.", "comment_count": 0, "views": 0, "votes": -2 }, { "id": 101311, "title": "Issue in Committing a Kernel ", "comment_count": 2, "views": 0, "votes": -1 }, { "id": 99603, "title": "Best size for images", "comment_count": 35, "views": 0, "votes": 13 }, { "id": 101192, "title": "Inconsistent LB score ", "comment_count": 2, "views": 0, "votes": null }, { "id": 101260, "title": "Kernel Commit ending in Error", "comment_count": 1, "views": 0, "votes": -1 }, { "id": 98626, "title": "Submission format Upgrade", "comment_count": 4, "views": 0, "votes": 6 }, { "id": 101234, "title": "Call for help, error occured when load pretrained .pkl file", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 101089, "title": "Reducing Committing Time of kernel", "comment_count": 3, "views": 0, "votes": 0 }, { "id": 100899, "title": "image preprocessing", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 100628, "title": "Any problem with Kaggle", "comment_count": 6, "views": 0, "votes": 2 }, { "id": 98879, "title": "Fastest cycle to check LB score", "comment_count": 7, "views": 0, "votes": 43 }, { "id": 99703, "title": "Cannot submit because of Internet setting ?", "comment_count": 6, "views": 0, "votes": null }, { "id": 101117, "title": "How to upload trained model to kernel? ", "comment_count": 1, "views": 0, "votes": -3 }, { "id": 100979, "title": "Different result with predict_generator", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 100711, "title": "Mixing the Old and New Dataset", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 101109, "title": "LB 0.80+ without using old competition data", "comment_count": 1, "views": 0, "votes": -5 }, { "id": 100680, "title": "The score is negative :(", "comment_count": 7, "views": 0, "votes": 1 }, { "id": 100069, "title": "are you having problems to add .pth files to your kernels? (using Kaggle cli)", "comment_count": 10, "views": 0, "votes": 3 }, { "id": 97620, "title": "The kernel appears to have died. It will restart automatically", "comment_count": 9, "views": 0, "votes": 7 }, { "id": 98113, "title": "How to deal with inconsistent image shapes?", "comment_count": 5, "views": 0, "votes": null }, { "id": 99550, "title": "Why do everybody use resnet?", "comment_count": 12, "views": 0, "votes": 5 }, { "id": 100583, "title": "Too low score!!!!", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 100471, "title": "Public versus Private data set", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 100251, "title": "How to get deterministic results in Keras models", "comment_count": 11, "views": 0, "votes": 1 }, { "id": 100610, "title": "[Please do not delete]: Shared Public Dataset", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 98736, "title": "Big size vs Small size", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 97944, "title": "my kernel dies automatically when converting images to array", "comment_count": 5, "views": 0, "votes": 0 }, { "id": 100601, "title": "Comparison of different image prepossessing ", "comment_count": 1, "views": 0, "votes": null }, { "id": 100417, "title": "FileNotFoundError: [Errno 2] No such file or directory: '../input/resnet101-5d3b4d8f.pth'", "comment_count": 3, "views": 0, "votes": null }, { "id": 100468, "title": "how to load keras_efficientnets?", "comment_count": 2, "views": 0, "votes": null }, { "id": 100444, "title": "I am having trouble chaining kernels, one for preprocessing and next modeling", "comment_count": 4, "views": 0, "votes": null }, { "id": 99609, "title": "Cry Like A Baby", "comment_count": 16, "views": 0, "votes": 5 }, { "id": 100266, "title": "Good references on explanation of metrics in medical perspective", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 98161, "title": "More Please", "comment_count": 16, "views": 0, "votes": 101 }, { "id": 100267, "title": "Model Ensembles?", "comment_count": 2, "views": 0, "votes": null }, { "id": 98169, "title": "1st 3x grandmaster", "comment_count": 79, "views": 0, "votes": 64 }, { "id": 100208, "title": "Is Kappa Score Reliable?", "comment_count": 4, "views": 0, "votes": null }, { "id": 100169, "title": "Decrease in accuracy after increasing image size.", "comment_count": 4, "views": 0, "votes": null }, { "id": 98992, "title": "Is test set analysis ethical?", "comment_count": 2, "views": 0, "votes": 7 }, { "id": 100156, "title": "SOTA base architectures", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 99186, "title": "Running fit on Image Generator", "comment_count": 3, "views": 0, "votes": null }, { "id": 99753, "title": "What is your CNN looking at? GradCAM in fastai", "comment_count": 2, "views": 0, "votes": 6 }, { "id": 99808, "title": "Shaping image", "comment_count": 2, "views": 0, "votes": null }, { "id": 99798, "title": "Suggestion - First read discussions then ask questions", "comment_count": 0, "views": 0, "votes": 5 }, { "id": 99768, "title": "Getting Error when submitting as csv files", "comment_count": 7, "views": 0, "votes": 0 }, { "id": 99642, "title": "Increasing Image Resolution", "comment_count": 2, "views": 0, "votes": 7 }, { "id": 99800, "title": "Unable to submit my result. ", "comment_count": 1, "views": 0, "votes": -1 }, { "id": 99663, "title": "Why better quadratic weighted kappa and better accuracy obtained a worse result", "comment_count": 2, "views": 0, "votes": null }, { "id": 98894, "title": "Kaggle Kernels not recognizing .pth/.h5 files", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 99847, "title": "Unable to submit", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 99789, "title": "Submission Error!", "comment_count": 3, "views": 0, "votes": -1 }, { "id": 99763, "title": "Some Query regarding using Old Competition data", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 99270, "title": "How to really understand your model's feature detections", "comment_count": 3, "views": 0, "votes": 16 }, { "id": 99804, "title": "How to remove a \"Deleted User\" from team", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 99496, "title": " data augmentation", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 97675, "title": "You dont need to train in Kernels.", "comment_count": 10, "views": 0, "votes": 29 }, { "id": 99439, "title": "OPHDIAT :Instant automatic diagnosis of diabetic retinopathy", "comment_count": 2, "views": 0, "votes": 6 }, { "id": 99397, "title": "Can we rely on the public LB?", "comment_count": 7, "views": 0, "votes": 2 }, { "id": 99617, "title": "Need_Some_Help", "comment_count": 1, "views": 0, "votes": null }, { "id": 99442, "title": "Abhishek's interview with Kaggle after becoming 3X GM", "comment_count": 2, "views": 0, "votes": 7 }, { "id": 99554, "title": "Submission error with no additional details", "comment_count": 1, "views": 0, "votes": 0 }, { "id": 99501, "title": "Kappa", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 99475, "title": "Too much time for score", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 99543, "title": "Problem with cv2.resize", "comment_count": 2, "views": 0, "votes": null }, { "id": 99580, "title": "[HELP]loss is decreasing, but still large. I do not know why?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 99347, "title": "pretrained weights", "comment_count": 6, "views": 0, "votes": null }, { "id": 99079, "title": "Data Balancing?", "comment_count": 5, "views": 0, "votes": -1 }, { "id": 99401, "title": "Submitted successfully, but no output file?This is very distressing to me.", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 98883, "title": "Augmentation Techniques: Let's discuss", "comment_count": 12, "views": 0, "votes": 8 }, { "id": 99456, "title": "Easy use of multiple datasets", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 99409, "title": "Submission Error", "comment_count": 3, "views": 0, "votes": -1 }, { "id": 99487, "title": "Help with error in classification", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 98967, "title": "Connection is not working when committing ", "comment_count": 8, "views": 0, "votes": 2 }, { "id": 99419, "title": "Error after committing the Kernel", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 99288, "title": "Transfer Learning", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 98904, "title": "Error submitting results", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 98844, "title": "Leakage(about 8% current test dataset)", "comment_count": 1, "views": 0, "votes": 5 }, { "id": 99307, "title": "Internet access", "comment_count": 3, "views": 0, "votes": -2 }, { "id": 98859, "title": "Anyone used past competition dataset successfully?", "comment_count": 7, "views": 0, "votes": 4 }, { "id": 98807, "title": "Please, Help me resolve the error ", "comment_count": 8, "views": 0, "votes": 3 }, { "id": 98369, "title": "Scored 0.000 ???", "comment_count": 8, "views": 0, "votes": 8 }, { "id": 99133, "title": "Preprocessing Images", "comment_count": 2, "views": 0, "votes": null }, { "id": 98937, "title": " Kernal is dying inbetween reading image data everytime.", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 98620, "title": "Quadratic-kappa-metric", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 98953, "title": "PAD+Resize or Resize", "comment_count": 4, "views": 0, "votes": null }, { "id": 99009, "title": "Resources", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 99077, "title": "Quadratic weighted kappa", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 97937, "title": "Submission Error - No additional details provided for this error ", "comment_count": 17, "views": 0, "votes": 0 }, { "id": 99003, "title": "No error specified for submission", "comment_count": 7, "views": 0, "votes": null }, { "id": 97827, "title": "Why Can't I submit? ", "comment_count": 15, "views": 0, "votes": 2 }, { "id": 98678, "title": "Why score can go below zero?", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 98453, "title": "Be careful about your augmentation...", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 98553, "title": "Submittion is not over ...", "comment_count": 7, "views": 0, "votes": 2 }, { "id": 97897, "title": "Teamwork", "comment_count": 3, "views": 0, "votes": 0 }, { "id": 98683, "title": "Where is \"science\"?", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 98528, "title": "Ways to try different things faster?", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 98272, "title": "High variance when submiting the same kernel", "comment_count": 8, "views": 0, "votes": 7 }, { "id": 98845, "title": "Resizing", "comment_count": 2, "views": 0, "votes": null }, { "id": 98493, "title": "Possible shake-up?", "comment_count": 3, "views": 0, "votes": 9 }, { "id": 98789, "title": "What means 'Submission CSV Not Found' ?", "comment_count": 4, "views": 0, "votes": null }, { "id": 98838, "title": "How to fix \"Enforce fail at CPUAllocator.cpp\" error in PyTorch", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 98359, "title": "Publishing papers", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 98749, "title": "Unable to download the data set", "comment_count": 2, "views": 0, "votes": null }, { "id": 98393, "title": "Unable to save model using fastai library", "comment_count": 7, "views": 0, "votes": 1 }, { "id": 98593, "title": "Any help on Submission Error?", "comment_count": 3, "views": 0, "votes": null }, { "id": 97732, "title": "Team Partner", "comment_count": 1, "views": 0, "votes": null }, { "id": 98636, "title": "Image Preprocessing", "comment_count": 1, "views": 0, "votes": null }, { "id": 98251, "title": "CV vs LB - adversarial validation episode", "comment_count": 0, "views": 0, "votes": 6 }, { "id": 98468, "title": "Starter kernel for transfer learning from previous competition", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 98617, "title": "unfreeze() makes worse score?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 98606, "title": "My LB score is too low compared to validation score", "comment_count": 2, "views": 0, "votes": null }, { "id": 98572, "title": "Submit error on simple code", "comment_count": 1, "views": 0, "votes": null }, { "id": 98194, "title": "Kernel getting extremely low accuracy (trained on 150 epochs!)", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 98405, "title": "When submitting results", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 98532, "title": "Problem about the submission which goes to the page of 404 error!", "comment_count": 1, "views": 0, "votes": null }, { "id": 97774, "title": "Previous competition data unusable", "comment_count": 23, "views": 0, "votes": 6 }, { "id": 98464, "title": "Difficulty in submitting the competition", "comment_count": 2, "views": 0, "votes": null }, { "id": 98046, "title": "why pretrained model is not allowed?", "comment_count": 9, "views": 0, "votes": null }, { "id": 98424, "title": "Unable to upload the model as dataset", "comment_count": 3, "views": 0, "votes": null }, { "id": 98454, "title": "Max kernel time", "comment_count": 1, "views": 0, "votes": null }, { "id": 98087, "title": "Submission Error Solutions", "comment_count": 1, "views": 0, "votes": 7 }, { "id": 98414, "title": "Cant upload files into kernel", "comment_count": 2, "views": 0, "votes": null }, { "id": 97611, "title": "One of the Google's Paper for Detection of Diabetic Retinopathy", "comment_count": 2, "views": 0, "votes": 23 }, { "id": 98263, "title": "Submission Error ", "comment_count": 3, "views": 0, "votes": 0 }, { "id": 98287, "title": "What is kernel competition?", "comment_count": 2, "views": 0, "votes": null }, { "id": 98166, "title": "Public vs. Private Test Set", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 98219, "title": "Request for Joining a Team", "comment_count": 2, "views": 0, "votes": null }, { "id": 97947, "title": "How to download and unzip Diabetic Retinopathy Detection files", "comment_count": 2, "views": 0, "votes": 9 }, { "id": 98058, "title": "submission error too", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 98041, "title": "Public Score 0.000 Why ? Please guide", "comment_count": 8, "views": 0, "votes": 1 }, { "id": 98042, "title": "Data Augmentation or Adversarial Validation or Both or ... ?", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 97910, "title": "After waiting for hours .. I keep getting submission errors", "comment_count": 7, "views": 0, "votes": 1 }, { "id": 97899, "title": "A question on models", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 97898, "title": "Google Activates 'Dropout' Patent(US9406017B2) ", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 98055, "title": "Submission Error", "comment_count": 2, "views": 0, "votes": null }, { "id": 97616, "title": "Google's work on 5-class DR detection", "comment_count": 2, "views": 0, "votes": 14 }, { "id": 97808, "title": "Is there even enough training data?", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 97971, "title": "I got score 0.0 , wish some handsome guy help me !", "comment_count": 3, "views": 0, "votes": 0 }, { "id": 97820, "title": "Unable to Submit the submission.csv", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 97963, "title": "Are we allowed to use previous competition data ?", "comment_count": 2, "views": 0, "votes": null }, { "id": 97749, "title": "Related Competitions", "comment_count": 0, "views": 0, "votes": 8 }, { "id": 97643, "title": "optimizing predictions for quadratic weighted kappa", "comment_count": 0, "views": 0, "votes": 13 }, { "id": 97619, "title": "Understanding diabetic retinopathy ", "comment_count": 1, "views": 0, "votes": 13 }, { "id": 97938, "title": "5 mln images.", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 97674, "title": "Joining hands against blindness", "comment_count": 0, "views": 0, "votes": 1 } ], "errors": [] }