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    24 repositories

    • PP-bandit-feedback

      Public
      This repository accompanies the paper Preformative Prediction with Bandit Feedback:Learning through Reparameterization accepted by ICML 2024.
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated May 31, 2024May 31, 2024

    • fair-participation-sequential-policies

      Public
      Python
      •0•0•0•0•Updated Mar 14, 2024Mar 14, 2024

    • Model_Transferability

      Public
      This repository accompanies the paper Model Transferability with Responsive Decision Subjects accepted by ICML 2023.
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated May 31, 2023May 31, 2023

    • Identifiability

      Public
      Identifiability of Label Noise Transition Matrix
      Python
      •0•1•0•0•Updated May 26, 2023May 26, 2023

    • cifar-10-100n

      Public
      Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.
      label-noise
      Python
      •
      Other
      •20•196•3•0•Updated May 17, 2023May 17, 2023

    • HOC

      Public
      Python
      •
      MIT License
      •27•26•1•0•Updated May 17, 2023May 17, 2023

    • SimiFeat

      Public
      Python
      •
      Other
      •14•79•2•0•Updated May 17, 2023May 17, 2023

    • SelfSup_NoisyLabel

      Public
      Learning from noisy labels via regularization between representations
      Python
      •4•11•0•0•Updated Feb 28, 2023Feb 28, 2023

    • CAL

      Public
      A Second-Order Approach to Learning with Instance-Dependent Label Noise (CVPR'21 oral)
      Python
      •
      MIT License
      •9•47•1•1•Updated Nov 24, 2022Nov 24, 2022

    • Fairness_Transferability

      Public
      Fairness Transferability subject to Distribution Shift
      Python
      •1•4•0•0•Updated Oct 10, 2022Oct 10, 2022

    • fair-eval

      Public
      Python
      •0•7•0•0•Updated Oct 5, 2022Oct 5, 2022

    • negative-label-smoothing

      Public
      [ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
      robustnesslabel-smoothinglabel-noisenoisy-labelsnoisy-label-learningtrustworthy-machine-learning
      Python
      •10•114•2•0•Updated Sep 12, 2022Sep 12, 2022

    • DuelGAN

      Public
      PyTorch Implementation of ECCV 2022 paper: "DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training".
      Python
      •9•48•0•0•Updated Jul 20, 2022Jul 20, 2022

    • FairInfl

      Public
      Python
      •
      MIT License
      •0•5•1•0•Updated Jun 11, 2022Jun 11, 2022

    • Disparate-SSL

      Public
      Python
      •
      MIT License
      •3•4•0•0•Updated Mar 13, 2022Mar 13, 2022

    • CanLessBeMore

      Public
      Python
      •0•2•1•0•Updated Mar 9, 2022Mar 9, 2022

    • BeyondImages

      Public
      Python
      •
      MIT License
      •0•2•0•0•Updated Feb 8, 2022Feb 8, 2022

    • Multi-class-Peer-Loss-functions

      Public
      Learning with Noisy Labels by adopting a peer prediction loss function (deep learning & multi-class version).
      Python
      •
      MIT License
      •7•0•0•0•Updated Mar 7, 2021Mar 7, 2021

    • cores

      Public
      Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
      Python
      •9•36•0•0•Updated Feb 24, 2021Feb 24, 2021

    • Robust-f-divergence-measures

      Public
      Python
      •
      MIT License
      •20•2•0•0•Updated Feb 15, 2021Feb 15, 2021

    • Credible-sample-elicitation

      Public
      Python
      •
      MIT License
      •6•1•0•0•Updated Feb 14, 2021Feb 14, 2021

    • ConstructiveAdaptation

      Public
      Python
      •1•3•0•0•Updated Feb 10, 2021Feb 10, 2021

    • fair-classification-with-noisy-labels

      Public
      Python
      •2•1•0•0•Updated Jan 16, 2021Jan 16, 2021

    • PeerLoss

      Public
      Learning with Noisy Labels by adopting a peer prediction loss function.
      Python
      •
      MIT License
      •4•1•0•0•Updated Mar 3, 2020Mar 3, 2020