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    {
      "id": 276436,
      "title": "Congrats to the winners! Don't forget to submit your documentation :)",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 264283,
      "title": "New to Machine Learning or to Kaggle? Check this out ~",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 264281,
      "title": "Looking for a Team Megathread",
      "comment_count": 33,
      "views": 0,
      "votes": 3
    },
    {
      "id": 277098,
      "title": "1st place solution",
      "comment_count": 34,
      "views": 0,
      "votes": 184
    },
    {
      "id": 275872,
      "title": "Models' economics ranking",
      "comment_count": 7,
      "views": 0,
      "votes": 11
    },
    {
      "id": 277884,
      "title": "Team of 9 allowed?",
      "comment_count": 21,
      "views": 0,
      "votes": 57
    },
    {
      "id": 277386,
      "title": "4th place solution",
      "comment_count": 6,
      "views": 0,
      "votes": 27
    },
    {
      "id": 279925,
      "title": "Link to video presentation of top solutions at ICCV'21",
      "comment_count": 2,
      "views": 0,
      "votes": 16
    },
    {
      "id": 276085,
      "title": "Congrats to new Competitions GM and new #1 on global competitions ranking !!",
      "comment_count": 10,
      "views": 0,
      "votes": 24
    },
    {
      "id": 276636,
      "title": "8th place solution",
      "comment_count": 3,
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      "votes": 17
    },
    {
      "id": 276830,
      "title": "Test classes outside of 81k classes from train data",
      "comment_count": 3,
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      "votes": 9
    },
    {
      "id": 275940,
      "title": "Top solutions ",
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      "votes": 7
    },
    {
      "id": 275870,
      "title": "3rd place solution",
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      "views": 0,
      "votes": 42
    },
    {
      "id": 273866,
      "title": "Can only wealthy people win?",
      "comment_count": 16,
      "views": 0,
      "votes": 7
    },
    {
      "id": 275876,
      "title": "5th Place Solution Sharing: A Learnable Pooling Approach",
      "comment_count": 8,
      "views": 0,
      "votes": 33
    },
    {
      "id": 270528,
      "title": "Submit error: Notebook Threw Exception",
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      "views": 0,
      "votes": 5
    },
    {
      "id": 274733,
      "title": "Kaggle TPU Resources overload - TPU training commits in queue for 5 hours",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 275120,
      "title": "Submission Scoring Error",
      "comment_count": 2,
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      "votes": 3
    },
    {
      "id": 273849,
      "title": "Question about private training set",
      "comment_count": 2,
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      "votes": 3
    },
    {
      "id": 274997,
      "title": "Validation metrics",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274716,
      "title": "Use pretrained embeddings",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 273214,
      "title": "400K Extra Train Images and TFRecords of Minority Classes",
      "comment_count": 3,
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      "votes": 17
    },
    {
      "id": 273912,
      "title": "How to run 500G complete training set on kaggle platform?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 274156,
      "title": "What model do you think works best?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 274275,
      "title": "Notebook Threw Exception",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 273890,
      "title": "Mount gcs path on google colab",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 273306,
      "title": "TPU cuda file not found error.",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 268157,
      "title": "Google Landmark Recognition 2019 Test Images + TFRecords",
      "comment_count": 1,
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      "votes": 17
    },
    {
      "id": 272468,
      "title": "Amazing! Found a genius！",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 273652,
      "title": "Who needs more GPU to train a model ?",
      "comment_count": 0,
      "views": 0,
      "votes": -14
    },
    {
      "id": 272517,
      "title": "Can I use my local machine to train a model?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 271754,
      "title": "The data is too large and takes a very long time to process.",
      "comment_count": 11,
      "views": 0,
      "votes": null
    },
    {
      "id": 270020,
      "title": "Does the test set contain landmarks which are outside of the 81313 ones? ",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 271939,
      "title": "Post Processing",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 271219,
      "title": "TPU convergence problems",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 268124,
      "title": "Pytorch Lightning 1.4.2 does not converge, use 1.3.8",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 268231,
      "title": "Question aboue a metric learning(ArcFace)",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 270718,
      "title": "landmark_id == 39209",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 270607,
      "title": "Help needed for finding the reason for \"Notebook Threw Exception\" in my code attached below",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 266416,
      "title": "Host baseline 2020 - LB 0.202",
      "comment_count": 5,
      "views": 0,
      "votes": 16
    },
    {
      "id": 270864,
      "title": "model.fit_generator",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 269488,
      "title": "How to download dataset on google colaboratory",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 270139,
      "title": "Pytorch Lightning with TPU OOM in Kaggle Kernel",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 268523,
      "title": "Intuitive understanding of GAP",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 268148,
      "title": "Using Yolo to clean up an image",
      "comment_count": 8,
      "views": 0,
      "votes": 20
    },
    {
      "id": 264799,
      "title": "Submission error",
      "comment_count": 16,
      "views": 0,
      "votes": 13
    },
    {
      "id": 267035,
      "title": "Tips for training your own model on Kaggle Kernel ",
      "comment_count": 20,
      "views": 0,
      "votes": 24
    },
    {
      "id": 268371,
      "title": "\"Notebook Exceeded Allowed Compute\"",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 268022,
      "title": "Pytorch \"model.load_state_dict\"  cause weird \"Notebook Threw Exception\".",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 266999,
      "title": "How to get CGLD2?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 267718,
      "title": "TFRecords for all train data res 384",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 267417,
      "title": "How to use my model on the secret Dataset?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 267572,
      "title": "How to convert cosine similarities to probabilities?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 268012,
      "title": "How many full epochs can be run within the time limit ?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 267938,
      "title": "Can I use BoostingMonocularDepth library in a notebook?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 267276,
      "title": "CV  vs  LB ",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 266816,
      "title": "TPU error Please help ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 266494,
      "title": "Clarify about the number of classes",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 266367,
      "title": "Compare Landmark Recognition 2021 vs 2020 ?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 264657,
      "title": "Useful Research Papers for Competition. ",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 265418,
      "title": "Online Explorer for GLD v2",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 266165,
      "title": "New to Kaggle: Train model on Larger dataset ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 265356,
      "title": "Infra and training tricks",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 264615,
      "title": "Previous Gold medal solutions to Google Landmark Recognition 🥇⛰️",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 264456,
      "title": "Some relevant research papers",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 264635,
      "title": "Papers on Landmark Recognition",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 264777,
      "title": "How to avoid machine learning pitfalls: a guide for academic researchers",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    }
  ],
  "errors": []
}