{
  "total": 255,
  "topics": [
    {
      "id": 269246,
      "title": "Competition close and next steps",
      "comment_count": 1,
      "views": 0,
      "votes": 22
    },
    {
      "id": 253079,
      "title": "Competition Relaunch - New Data!",
      "comment_count": 38,
      "views": 0,
      "votes": 91
    },
    {
      "id": 248755,
      "title": "(Partial) Competition Update",
      "comment_count": 45,
      "views": 0,
      "votes": 68
    },
    {
      "id": 246782,
      "title": "Time Stamp Leakage - Update",
      "comment_count": 58,
      "views": 0,
      "votes": 111
    },
    {
      "id": 237961,
      "title": "Welcome to the Breakthrough Listen ET signal search challenge!",
      "comment_count": 24,
      "views": 0,
      "votes": 36
    },
    {
      "id": 237957,
      "title": "Looking for a Team Megathread",
      "comment_count": 103,
      "views": 0,
      "votes": 24
    },
    {
      "id": 237956,
      "title": "New to Machine Learning or to Kaggle? Check this out ~",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 241522,
      "title": "Easter Eggs Thread (Aliens love Kaggle!)",
      "comment_count": 17,
      "views": 0,
      "votes": 48
    },
    {
      "id": 245251,
      "title": "Is BCE the best proxy for ROC?",
      "comment_count": 27,
      "views": 0,
      "votes": 9
    },
    {
      "id": 266385,
      "title": "1st Place Solution",
      "comment_count": 113,
      "views": 0,
      "votes": 277
    },
    {
      "id": 344528,
      "title": "Code to simulate ET signals?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 337730,
      "title": "How to download data",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 250624,
      "title": "Data normalization without data distortion",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 266813,
      "title": "Can someone post code that scores Over LB 0.780?",
      "comment_count": 26,
      "views": 0,
      "votes": 13
    },
    {
      "id": 266394,
      "title": "5th place solution",
      "comment_count": 13,
      "views": 0,
      "votes": 37
    },
    {
      "id": 268314,
      "title": "SETI Grad Cam Images and Explanation.",
      "comment_count": 6,
      "views": 0,
      "votes": 51
    },
    {
      "id": 266480,
      "title": "15th Place Solution : 8 days of Hard Work",
      "comment_count": 4,
      "views": 0,
      "votes": 38
    },
    {
      "id": 266460,
      "title": "6th place solution",
      "comment_count": 11,
      "views": 0,
      "votes": 34
    },
    {
      "id": 266397,
      "title": "2nd Place Solution",
      "comment_count": 38,
      "views": 0,
      "votes": 74
    },
    {
      "id": 266403,
      "title": "3rd place solution (Triplet Attention)",
      "comment_count": 26,
      "views": 0,
      "votes": 65
    },
    {
      "id": 266711,
      "title": "12th place solution - experiments with augmentation",
      "comment_count": 17,
      "views": 0,
      "votes": 26
    },
    {
      "id": 266534,
      "title": "86th - Bronze Medal - with Silver Gold Magic Explained",
      "comment_count": 19,
      "views": 0,
      "votes": 54
    },
    {
      "id": 266852,
      "title": "9th place overview",
      "comment_count": 6,
      "views": 0,
      "votes": 19
    },
    {
      "id": 268612,
      "title": "How can I use pseudo label properly？",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 266513,
      "title": "Is second magic an artifact (bad) or is it a consequence of physics (good)?",
      "comment_count": 39,
      "views": 0,
      "votes": 24
    },
    {
      "id": 266621,
      "title": "Does Mixup Help with New Data?",
      "comment_count": 10,
      "views": 0,
      "votes": 9
    },
    {
      "id": 266884,
      "title": "Simple solution for solo silver (and one old GTX1080Ti)",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 266391,
      "title": "Congratulations, @underwearfitting. New Grandmaster !!!",
      "comment_count": 20,
      "views": 0,
      "votes": 25
    },
    {
      "id": 266619,
      "title": "8th place solution",
      "comment_count": 6,
      "views": 0,
      "votes": 18
    },
    {
      "id": 266417,
      "title": "10th Place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 27
    },
    {
      "id": 266312,
      "title": "Top1 LB:0.965? Magic score!",
      "comment_count": 31,
      "views": 0,
      "votes": 31
    },
    {
      "id": 266396,
      "title": "4th Place Solution. Steven Signal",
      "comment_count": 5,
      "views": 0,
      "votes": 30
    },
    {
      "id": 266805,
      "title": "Simulated Target Generator",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 266501,
      "title": "208th Solution - Common Approach, But Hope for Someone's Help",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 266564,
      "title": "Simple Bronze Solution",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 266509,
      "title": "Summary of codes and discussions for the top solutions",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 265919,
      "title": "Concerns About Distribution Shift and Shakeup",
      "comment_count": 5,
      "views": 0,
      "votes": 16
    },
    {
      "id": 267262,
      "title": "Best scoring single model Kaggle kernel?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 266411,
      "title": "Summary of the top approaches ",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 265921,
      "title": "Best adversarial model",
      "comment_count": 3,
      "views": 0,
      "votes": 22
    },
    {
      "id": 266708,
      "title": "After all, did anyone find any real aliens?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 265032,
      "title": "stop posting high scoring notebooks",
      "comment_count": 11,
      "views": 0,
      "votes": 36
    },
    {
      "id": 265447,
      "title": "Notebook sharing should be re-worked!!",
      "comment_count": 5,
      "views": 0,
      "votes": 15
    },
    {
      "id": 266945,
      "title": "How to implement pseudo label code on pytorch",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 266652,
      "title": "Adversarial validation improves cv-lb gap",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 266276,
      "title": "Good luck in private)",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 265689,
      "title": "Big public/private LB shakeup?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 266662,
      "title": "58th place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 265973,
      "title": "PyTorch Implementation of Class-Balanced Loss",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 241234,
      "title": "'Rocket' in spectrogram",
      "comment_count": 1,
      "views": 0,
      "votes": 21
    },
    {
      "id": 264694,
      "title": "How Can I Download Only New Data With Kaggle Command Line?",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 266401,
      "title": "Why? The score is cancel",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 265251,
      "title": "what's the key to this competition",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 265738,
      "title": "Training with pre-loaded weights using pytorch-pfn-extras ?",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 256043,
      "title": "Looks like Watercooled team closed the CV/LB GAP",
      "comment_count": 16,
      "views": 0,
      "votes": 49
    },
    {
      "id": 265464,
      "title": "why the   learning  resizing   one time works another doesn't?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 263267,
      "title": "Why are some images so much alike in the train and the test?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 265646,
      "title": "why do you use publicly available ensembles?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 265228,
      "title": "Pseudo labeling is not effective in this competiton?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 264897,
      "title": "Looking forward to learn how to fix such big domain gap ",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 265090,
      "title": "SpecAugment for Tensorflow?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 264041,
      "title": "still need more GPU/RAM to do the job",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 264421,
      "title": "about total number of submissions",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 264824,
      "title": "little reflection",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 263310,
      "title": "How long does it take for 1epoch?",
      "comment_count": 12,
      "views": 0,
      "votes": 4
    },
    {
      "id": 264569,
      "title": "colab version of  forked  SETI - Learned Image Resizing ",
      "comment_count": 3,
      "views": 0,
      "votes": -2
    },
    {
      "id": 253912,
      "title": "Train Only Downloading (Colab)",
      "comment_count": 10,
      "views": 0,
      "votes": 38
    },
    {
      "id": 264341,
      "title": "Idiot's Guide To SETI?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 253385,
      "title": "CV vs LB (New Dataset Only)",
      "comment_count": 52,
      "views": 0,
      "votes": 44
    },
    {
      "id": 264136,
      "title": "Why I  don't see the needles in my data?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 262321,
      "title": "Increasing image size during inference gives a little boost. Why?",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 262335,
      "title": "Confusion about Gradual Warmup Scheduler",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 261595,
      "title": "Any success with non-pretrained models?",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 261982,
      "title": "What about using different optimizers?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 261659,
      "title": "what about normalization?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 263011,
      "title": "Do data folders (like 1,2,3,4,5,6,7,8,9,a,b,c~~) mean anything?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 262686,
      "title": "The gap between CV and LB is too large",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 256369,
      "title": "Alternative input spaces thread",
      "comment_count": 8,
      "views": 0,
      "votes": 14
    },
    {
      "id": 256599,
      "title": "Why are there so few teams?",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 260810,
      "title": "Papers on classification of radio signals",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 262446,
      "title": "Augmentation and LR_scheduler have any relations?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 258218,
      "title": "Label smoothing binary cross entropy",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 246163,
      "title": "[Ablation Study] What's the best Alpha value for Mixup Augmentation?",
      "comment_count": 6,
      "views": 0,
      "votes": 21
    },
    {
      "id": 256604,
      "title": "Do I need \"tta steps\" if my p=1.?",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 258449,
      "title": "Train Outliers",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 257590,
      "title": "Combined dataset or new dataset only?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 254441,
      "title": "Train vs test: drastic difference",
      "comment_count": 16,
      "views": 0,
      "votes": 44
    },
    {
      "id": 256055,
      "title": "How many image layers do you use?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 258706,
      "title": "A strange \"Loss to NaN\" training issue",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 261548,
      "title": "question about old data. Thank you in advance",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 260843,
      "title": "Various models for TensorFlow (ResNeXt50, Wide ResNet)",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 254298,
      "title": "Are pseudo-labeling, semi-superwised and unsuperwised techniques on test allowed?",
      "comment_count": 10,
      "views": 0,
      "votes": 2
    },
    {
      "id": 258588,
      "title": "Old Leaky Data TFRecords",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 247359,
      "title": "Meme thread while we wait for the new dataset ",
      "comment_count": 18,
      "views": 0,
      "votes": 32
    },
    {
      "id": 255154,
      "title": "Is there a less noticeable signal in this example?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 253758,
      "title": "Old dataset vs New dataset",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 255239,
      "title": "[Compilation] SETI Breakthrough Listen - E.T. Signal Search : Starter Notebooks",
      "comment_count": 0,
      "views": 0,
      "votes": 23
    },
    {
      "id": 253613,
      "title": "Looks better",
      "comment_count": 9,
      "views": 0,
      "votes": 32
    },
    {
      "id": 248194,
      "title": "How to train without leak",
      "comment_count": 20,
      "views": 0,
      "votes": 58
    },
    {
      "id": 255209,
      "title": "How`s the effect of Mixup on new data?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 244379,
      "title": "Does TestSet contain \"unknown\" messages? ",
      "comment_count": 10,
      "views": 0,
      "votes": 24
    },
    {
      "id": 244387,
      "title": "Fast metric code",
      "comment_count": 32,
      "views": 0,
      "votes": 52
    },
    {
      "id": 253233,
      "title": "The result of the best public kernels on new data",
      "comment_count": 11,
      "views": 0,
      "votes": 33
    },
    {
      "id": 249175,
      "title": "【rerun】[CV: 0.983 -> 0.836, LB: 0.974 -> 0.727] New Vision Transformer: VOLO",
      "comment_count": 18,
      "views": 0,
      "votes": 49
    },
    {
      "id": 253227,
      "title": "Why is Everbody stuck at 75 ?",
      "comment_count": 27,
      "views": 0,
      "votes": 0
    },
    {
      "id": 254343,
      "title": "Has anyone ever used TTA as if it might be useful?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 246558,
      "title": "Learned Image Resizing",
      "comment_count": 18,
      "views": 0,
      "votes": 38
    },
    {
      "id": 253281,
      "title": "Data Structure/Converting to Image from spectrogram",
      "comment_count": 2,
      "views": 0,
      "votes": 24
    },
    {
      "id": 254199,
      "title": "Huge AUC difference between CV and LB",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 246772,
      "title": "Leakage explained ",
      "comment_count": 46,
      "views": 0,
      "votes": 205
    },
    {
      "id": 243625,
      "title": "Structure of train/test data",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 247574,
      "title": "[Question] How do we resume training by using the last LR?",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 244125,
      "title": "【rerun】[CV: 0.983 -> 0.825, LB: 0.974 -> 0.726] ResNet18d Baseline w/ Mixup",
      "comment_count": 22,
      "views": 0,
      "votes": 69
    },
    {
      "id": 250687,
      "title": "Why albumentations over torchvision.transform for augmentation?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 251412,
      "title": "How to augment data?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 246976,
      "title": "Since We're Going to Need a New Dataset Anyway...",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 251647,
      "title": "Huge regularization problems!",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 248972,
      "title": "Does anyone balance the dataset?",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 250006,
      "title": "UC Berkeley SETI breakthrough Github Repo",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 249319,
      "title": "How to use your time waiting for new data in the best thinkable manner",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 250023,
      "title": "Roc Auc is always 0.5",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 249866,
      "title": "Support Vector Data Description [ A solution to Image Anomaly Detection ]",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 248557,
      "title": "OT: Science Fiction book recommendations",
      "comment_count": 12,
      "views": 0,
      "votes": 15
    },
    {
      "id": 249957,
      "title": "PatchCore [ For Image Anomaly Detection ]",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 248440,
      "title": "Batch Size Issue while using Spatial Images",
      "comment_count": 10,
      "views": 0,
      "votes": 0
    },
    {
      "id": 246901,
      "title": "Yet another leakage? (LB 0.995 without timestamp)",
      "comment_count": 33,
      "views": 0,
      "votes": 63
    },
    {
      "id": 248074,
      "title": "The Arrival (movie)",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 249182,
      "title": "Why does this training sample have target == 1?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 249046,
      "title": "US intelligence community releases long-awaited UFO report!",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 246357,
      "title": "Hard to find aliens",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 247096,
      "title": "Any estimates for when the new dataset will be made public ?",
      "comment_count": 13,
      "views": 0,
      "votes": 7
    },
    {
      "id": 247870,
      "title": "EfficientNet B3/B4/B5 🔥 Baseline Metrics Dashboard + Weights Provided",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 247988,
      "title": "Is the competition Still on？",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 247640,
      "title": "Is the train label wrong?",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 247777,
      "title": "Some domain knowledge questions.",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 246566,
      "title": "Why I can get oof score 0.61 only with off-target images?",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 245608,
      "title": "0.98 LB Starter Pack",
      "comment_count": 23,
      "views": 0,
      "votes": 39
    },
    {
      "id": 247514,
      "title": "What does it take to reach 1.000 AUC?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 246781,
      "title": "🎉[LB:0.980]efficientnet_b0 More epoch",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 245152,
      "title": "[Comparative Study] What's the best data representation and the effect of Mixup?",
      "comment_count": 19,
      "views": 0,
      "votes": 55
    },
    {
      "id": 243174,
      "title": "How to choose alpha of mixup?",
      "comment_count": 12,
      "views": 0,
      "votes": 19
    },
    {
      "id": 246035,
      "title": "[TPU]tensorflow LB 0.97 ",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 245950,
      "title": "Non Negative Matrix Factorization for RFI Reduction",
      "comment_count": 11,
      "views": 0,
      "votes": 26
    },
    {
      "id": 246759,
      "title": "Here comes the 0.01 gap! One digit to change them all.",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 246366,
      "title": "Mixup make models less confident(overconfident)",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 245459,
      "title": "LB 0.98: Forward Ensembling Technique (Credits to Chris)",
      "comment_count": 9,
      "views": 0,
      "votes": 16
    },
    {
      "id": 246212,
      "title": "LB:0.97 ResNet34d+Focal loss",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 241266,
      "title": "(Fast) Dispersion Measure Transform -> FDMT",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 245757,
      "title": "Single Fold 0.97+: Custom Head + GradualWarmup",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 240083,
      "title": "Why not submit 0 and 1 as targets?",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 245531,
      "title": "A request to display one more decimal place on LB",
      "comment_count": 1,
      "views": 0,
      "votes": 13
    },
    {
      "id": 242059,
      "title": "More digits on the leaderboard, please!",
      "comment_count": 9,
      "views": 0,
      "votes": 41
    },
    {
      "id": 244461,
      "title": " Seti-Data dataset to augment positive examples",
      "comment_count": 12,
      "views": 0,
      "votes": 38
    },
    {
      "id": 246018,
      "title": "Doesn't mix-up training affect batch normalization?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 244735,
      "title": "Why does not sigmoid equals softmax cross entropy?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 243935,
      "title": "anyone try human auc score?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 245023,
      "title": "How to tackle overfitting? Am I doing it right?",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 245156,
      "title": "Should we assign probabilities to Mixup?",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 245931,
      "title": "how to reduce the image share to minimize the memory space",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 244947,
      "title": "LB:0.97 efficientnet-b1+Focal loss+Kfold+mix up",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 241195,
      "title": "Image Size vs Score",
      "comment_count": 36,
      "views": 0,
      "votes": 75
    },
    {
      "id": 238654,
      "title": "[CV vs LB]",
      "comment_count": 123,
      "views": 0,
      "votes": 54
    },
    {
      "id": 238758,
      "title": "This should be kernel competition ",
      "comment_count": 27,
      "views": 0,
      "votes": 58
    },
    {
      "id": 242644,
      "title": "small models collection",
      "comment_count": 30,
      "views": 0,
      "votes": 60
    },
    {
      "id": 245293,
      "title": "How to find out the uncategorized samples?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 238630,
      "title": "[LB 0.91] Let's talk about RNNs...",
      "comment_count": 19,
      "views": 0,
      "votes": 24
    },
    {
      "id": 244756,
      "title": "albumentations.pytorch.ToTensorV2 transform problem.",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 244372,
      "title": "Why is there sub folders in the dataset?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 244450,
      "title": "Why did my model got [CV:0.98, LB:0.96] but didn't detect anything?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 244303,
      "title": "What optimizer is working best for you ?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 244344,
      "title": "not enough memory",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 244443,
      "title": "Looking for team members",
      "comment_count": 1,
      "views": 0,
      "votes": -3
    },
    {
      "id": 242851,
      "title": "My Approach So Far[0.97 LB]",
      "comment_count": 8,
      "views": 0,
      "votes": 29
    },
    {
      "id": 242846,
      "title": "Does high precision really make sense?",
      "comment_count": 11,
      "views": 0,
      "votes": 0
    },
    {
      "id": 239552,
      "title": "Things that didn't work",
      "comment_count": 34,
      "views": 0,
      "votes": 52
    },
    {
      "id": 241076,
      "title": "👽First Encounter with an Alien👽",
      "comment_count": 6,
      "views": 0,
      "votes": 32
    },
    {
      "id": 241140,
      "title": "PyTorch Spatial TPU Training (1 Epoch < 10 Mins)",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 243013,
      "title": "Overfitting analysis",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 238611,
      "title": "Channel-wise Vs Spatial",
      "comment_count": 4,
      "views": 0,
      "votes": 52
    },
    {
      "id": 242784,
      "title": "How does a neural network identify an image without a needle?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 243428,
      "title": "is there any 273x256x6 tf.io.TFRecordWriter dataset?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 242775,
      "title": "apex slows execution",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 243034,
      "title": "why AUC similar, but LB different?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 240946,
      "title": "Even the Pentagon will be grateful to Kagglers!",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 241352,
      "title": "Is anyone ensembling and/or doing TTA yet?",
      "comment_count": 10,
      "views": 0,
      "votes": 12
    },
    {
      "id": 238325,
      "title": "PyTorch NFNet_l0 Baseline [LB: 0.95]",
      "comment_count": 6,
      "views": 0,
      "votes": 73
    },
    {
      "id": 238476,
      "title": "A semi-supervised approach from the SETI guys",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 243073,
      "title": "Confusion about PB score",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 238068,
      "title": "Which is your favorite space/sci-fi movie and interesting science behind it?",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 238298,
      "title": "Only 3 channels are good enough?",
      "comment_count": 1,
      "views": 0,
      "votes": 26
    },
    {
      "id": 238710,
      "title": "Class Imbalance Issue",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 238513,
      "title": "Winning solution from a previous similar competition",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 242174,
      "title": "Submission failed",
      "comment_count": 14,
      "views": 0,
      "votes": 7
    },
    {
      "id": 238095,
      "title": "Which Pretrained model best suits this problem ?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 242697,
      "title": "Unexpected CUDA Memory error",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 242658,
      "title": "issue of using api to download the dataset to colab",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 241383,
      "title": "Multi-GPU (Model parallelism) for EfficientNet-B0",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 241808,
      "title": "Model combining can enhance results",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 242204,
      "title": "AUC seems too different with score (solved)",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 241658,
      "title": "Did anyone tried running experiments on Colab ?",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 241411,
      "title": "other 'kaggle' in spectrograms",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 241475,
      "title": "Interval between successive observations",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 242358,
      "title": "Memory leak when reading .npy in a loop",
      "comment_count": 9,
      "views": 0,
      "votes": 0
    },
    {
      "id": 241829,
      "title": "How can i implement TTA ",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 239849,
      "title": "Where can I see the notebooks/topics that I upvoted?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 241053,
      "title": "Pentagon formally released three UFO videos + SETI on Kaggle. Coincidental? ",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 237980,
      "title": "🛸👽 UFO examples 🛸👽",
      "comment_count": 5,
      "views": 0,
      "votes": 63
    },
    {
      "id": 240277,
      "title": "On the time-step dimension ",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 239760,
      "title": "What's your best single model?",
      "comment_count": 18,
      "views": 0,
      "votes": 14
    },
    {
      "id": 239438,
      "title": "\"kaggle\" in a spectrogram",
      "comment_count": 8,
      "views": 0,
      "votes": 38
    },
    {
      "id": 240790,
      "title": "How can i implement Mixup In Tensorflow",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 240638,
      "title": "Normalization and color encoding of \"on\" and \"off\" times",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 240622,
      "title": "EfficientNet B4 MixUp CV 0.98 LB 0.97",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 240699,
      "title": "IN CV WE MUST TRUST",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 239374,
      "title": "Google's new EfficientNetV2",
      "comment_count": 6,
      "views": 0,
      "votes": 18
    },
    {
      "id": 240049,
      "title": "Computation Power Bottleneck",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 240500,
      "title": "Aren't People overfitting?",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 240334,
      "title": "How much Time Till A point 1.0 Score",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 238065,
      "title": "Any sources on starting with using signal analysis techniques?",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 239684,
      "title": "Using validation loss or validation AUC for early stopping",
      "comment_count": 0,
      "views": 0,
      "votes": 16
    },
    {
      "id": 239339,
      "title": "Clarifying Spectrogram data dimensions and units to enable Signal Processing",
      "comment_count": 5,
      "views": 0,
      "votes": 21
    },
    {
      "id": 239510,
      "title": "Spectrogram Normalization",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 239245,
      "title": "Astrophysics radio signal processing using Deep Learning",
      "comment_count": 0,
      "views": 0,
      "votes": 39
    },
    {
      "id": 239173,
      "title": "6 Vs 3 channels",
      "comment_count": 2,
      "views": 0,
      "votes": 21
    },
    {
      "id": 239341,
      "title": "Simple EDA and starter [LB: 0.95] + some observations",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 238722,
      "title": "Dark magic of aliens",
      "comment_count": 2,
      "views": 0,
      "votes": 39
    },
    {
      "id": 239273,
      "title": "predict distribution looks odd...",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 238270,
      "title": "[organizers] Add more decimals to LB?",
      "comment_count": 7,
      "views": 0,
      "votes": 21
    },
    {
      "id": 238240,
      "title": "[Starter] Pytorch Training & Inference Notebooks",
      "comment_count": 4,
      "views": 0,
      "votes": 20
    },
    {
      "id": 240391,
      "title": "Annotations for 66fe or a83b",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 238241,
      "title": "Some ideas how to attack the 6 channel cadence",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 239280,
      "title": "Will the 0.97 race come to an end ?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 238130,
      "title": "[LB: 0.93+] Starter Notebook with Tensorflow |TPU 🚀",
      "comment_count": 3,
      "views": 0,
      "votes": 35
    },
    {
      "id": 239239,
      "title": "How to properly add weights to screw data?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 237959,
      "title": "Are we trying to see if there are aliens?",
      "comment_count": 12,
      "views": 0,
      "votes": 10
    },
    {
      "id": 237989,
      "title": "Papers on Breakthrough Listen",
      "comment_count": 4,
      "views": 0,
      "votes": 32
    },
    {
      "id": 238269,
      "title": "Will this be a CNN or a RNN competition?",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 237992,
      "title": "Papers on technosignature signals",
      "comment_count": 2,
      "views": 0,
      "votes": 28
    },
    {
      "id": 238594,
      "title": "What is this?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 238108,
      "title": "Previous Kaggle Competitions for inspirations",
      "comment_count": 0,
      "views": 0,
      "votes": 21
    },
    {
      "id": 238522,
      "title": "Best Model Experiment",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 238584,
      "title": "A decimal point finish?",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 238852,
      "title": "Question on numerical values in spectrograms",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 238920,
      "title": "Ralated Papers about Semi-Supervised Approach",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 238602,
      "title": "🚀🚀🚀 NFNET_L0 Model Tops the Leaderboard Score 🚀🚀🚀",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 238378,
      "title": "They’re listening",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 238051,
      "title": "fun rank...",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 238854,
      "title": "PermissionDeniedError in case of TPU and custom TFRec dataset",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 238122,
      "title": "Can't load images using tensorflow",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 238272,
      "title": "Help me find the most up to date and effective introduction to radio astronomy.",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 238466,
      "title": "Is pretrained weight useless?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 238094,
      "title": ".What is TechnoSignature Signals & How data is represented ",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 238179,
      "title": "Private test data also a part of public test data?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 238105,
      "title": "how does the score evaluated?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 238123,
      "title": "What will happen if there are too many 1 scores",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}