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    12 repositories

    • maxclip_comp

      Public
      Website for MaxCLIP Competition
      HTML
      •0•0•0•0•Updated Oct 7, 2024Oct 7, 2024

    • fast_clip

      Public
      Python
      •
      MIT License
      •1•19•0•0•Updated Oct 3, 2024Oct 3, 2024

    • LibAUC

      Public
      LibAUC: A Deep Learning Library for X-Risk Optimization
      machine-learningndcgranking-algorithmself-supervised-learningauprcauroccontrastive-learningdeep-learningoptimizationpytorch
      Python
      •
      MIT License
      •38•285•0•0•Updated Sep 2, 2024Sep 2, 2024

    • TempNet

      Public
      To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
      Python
      •3•0•0•0•Updated Apr 9, 2024Apr 9, 2024

    • NeurIPS2021_SOAP

      Public
      Official implementation of the paper "Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence" published on Neurips2021.
      Python
      •1•20•1•0•Updated Oct 9, 2023Oct 9, 2023

    • ICML2023_LDR

      Public
      The official implementation from 'Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity' ICML2023
      Python
      •
      Apache License 2.0
      •1•0•0•0•Updated Jun 6, 2023Jun 6, 2023

    • ICML2023_FeDXL

      Public
      Official implementation of ICML 2023 paper "FeDXL: Provable Federated Learning for Deep X-Risk Optimization".
      Python
      •0•2•0•0•Updated May 30, 2023May 30, 2023

    • ICML2023_BSVRB

      Public
      Official implementation of the paper "Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization", ICML 2023
      Python
      •1•2•0•0•Updated May 30, 2023May 30, 2023

    • NDCG-Optimization

      Public
      Official implementation of the paper "Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence" ICML2022.
      Python
      •0•2•0•0•Updated May 5, 2023May 5, 2023

    • SogCLR

      Public
      Official implementation of the paper "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance", ICML2022.
      self-supervised-learningconstrastive-learning
      Python
      •4•19•1•0•Updated Mar 31, 2023Mar 31, 2023

    • ICCV2021_DeepAUC

      Public
      Official implementation of the paper "Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification, ICCV2021"
      Python
      •6•22•1•0•Updated Feb 2, 2023Feb 2, 2023

    • ICML2021_FedDeepAUC_CODASCA

      Public
      Official implementation: "Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity", ICML2021.
      Python
      •1•5•0•0•Updated Sep 9, 2021Sep 9, 2021