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    31 repositories

    • SCPL

      Public
      Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop
      Python
      •0•1•0•0•Updated Apr 20, 2026Apr 20, 2026

    • TokenCleaning

      Public
      [ICML 2025] Official implementation of paper "Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning"
      llminstruction-tuningtoken-cleaning
      llminstruction-tuningtoken-cleaning
      Python
      •5•54•1•0•Updated Feb 14, 2026Feb 14, 2026

    • DS2

      Public
      [ICLR 2025] Official implementation of paper "Improving Data Efficiency via Curating LLM-Driven Rating Systems"
      data-curationdata-efficiencylarge-language-models
      data-curationdata-efficiencylarge-language-modelsinstruction-tuning
      Python
      •
      Apache License 2.0
      •9•100•1•0•Updated Mar 24, 2025Mar 24, 2025

    • Strategic-withheld-recourse

      Public
      This repository accompanies the paper To Give or Not to Give? The Impacts of Strategically Withheld Recourse published in AISTATS 2025.
      Jupyter Notebook
      •0•0•0•0•Updated Mar 7, 2025Mar 7, 2025

    • FLAT

      Public
      [ICLR 2025] FLAT: LLM Unlearning via Loss Adjustment with Only Forget Data
      Python
      •
      Apache License 2.0
      •2•14•2•0•Updated Feb 26, 2025Feb 26, 2025

    • NRdetector

      Public
      This is an implementation of the paper: Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels (KDD 25)
      Python
      •
      MIT License
      •0•12•1•0•Updated Jan 17, 2025Jan 17, 2025

    • FairnessWithoutHarm

      Public
      [NeurIPS'24] Fairness Without Harm: An Influence-Guided Active Sampling Approach
      active-learningfairness
      active-learningfairness
      Jupyter Notebook
      •0•2•0•0•Updated Nov 8, 2024Nov 8, 2024

    • 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•1•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
      •1•3•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
      label-noise
      Python
      •
      Other
      •20•176•3•0•Updated May 17, 2023May 17, 2023

    • HOC

      Public
      Python
      •
      MIT License
      •7•25•1•0•Updated May 17, 2023May 17, 2023

    • SimiFeat

      Public
      Python
      •
      Other
      •13•76•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•42•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-noise
      robustnesslabel-smoothinglabel-noisenoisy-labelsnoisy-label-learningtrustworthy-machine-learning
      Python
      •8•99•2•1•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•39•0•0•Updated Jul 20, 2022Jul 20, 2022

    • FairInfl

      Public
      Python
      •
      MIT License
      •0•4•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•38•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
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