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Minimal implementations and summaries for Out-Of-Distribution detection papers

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Minimal implementations(<100 lines) of Out-Of-Distribution detection papers

Rules

  • 100줄 이내 구현을 권장합니다.
  • 각자 구현하시고 싶은 논문의 제목과 코드를 디렉토리를 하나 만드셔서 넣어주세요!.
  • 각 디렉토리 안에도 README.md가 있어야 합니다.
  • 구현은 Pytorch, Tensorflow 상관 없습니다.
  • 각 구현에 필요한 3rd party package를 명시한 requirements.txt 파일을 하나 만들어 주세요!

List of contents

  • Prediction under uncertainty with error encoding network, Mikael Henaff et al. (Paper / Code)
  • Anomaly Detection with Generative Adversarial Networks(ADGAN) (Paper/Code)
  • A baseline for detecting misclassified and out-of-distribution examples in neural networks, Hendrycks et al. (Paper / Code)
  • 양식: OOD PAPER (Paper / Code)

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Minimal implementations and summaries for Out-Of-Distribution detection papers

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