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      0000Updated Sep 22, 2024Sep 22, 2024
    • Official implementation for "Targeted Cause Discovery with Data-Driven Learning"
      Python
      MIT License
      22000Updated Aug 30, 2024Aug 30, 2024
    • Official PyTorch implementation of "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" (ICML'24)
      Python
      MIT License
      12700Updated Aug 15, 2024Aug 15, 2024
    • Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 2023)
      Python
      MIT License
      02800Updated Aug 11, 2024Aug 11, 2024
    • Official PyTorch implementation of "Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization" (ICML'24)
      Python
      MIT License
      0400Updated Aug 5, 2024Aug 5, 2024
    • DPPO

      Public
      Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)
      Python
      MIT License
      13800Updated Jul 20, 2024Jul 20, 2024
    • Official PyTorch implementation of "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" (ICML'23)
      Python
      MIT License
      01300Updated Jul 11, 2024Jul 11, 2024
    • A Python library for launching Slurm tasks
      Python
      MIT License
      0100Updated Jun 4, 2024Jun 4, 2024
    • Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)
      Python
      MIT License
      14810Updated Apr 18, 2024Apr 18, 2024
    • Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)
      Python
      MIT License
      31600Updated Dec 4, 2023Dec 4, 2023
    • Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
      Python
      MIT License
      1310500Updated Oct 18, 2023Oct 18, 2023
    • Official PyTorch implementation of "Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks" (AAAI 2022)
      Python
      MIT License
      2300Updated Oct 3, 2023Oct 3, 2023
    • Official PyTorch implementation of "Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization" (ICML'22)
      Python
      MIT License
      22200Updated Sep 26, 2023Sep 26, 2023
    • About Official PyTorch implementation of "Query-Efficient Black-Box Red Teaming via Bayesian Optimization" (ACL'23)
      Python
      MIT License
      01310Updated Jul 9, 2023Jul 9, 2023
    • DCPG

      Public
      Official PyTorch implementation of "Rethinking Value Function Learning for Generalization in Reinforcement Learning" (NeurIPS 2022)
      Python
      MIT License
      41400Updated Feb 20, 2023Feb 20, 2023
    • EDAC

      Public
      Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
      Python
      MIT License
      57000Updated Aug 14, 2022Aug 14, 2022
    • Official PyTorch implementation of "Optimal channel selection with discrete QCQP" (AISTATS'2022)
      Python
      MIT License
      1400Updated Feb 19, 2022Feb 19, 2022
    • Co-Mixup

      Public
      Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
      Jupyter Notebook
      MIT License
      1010500Updated Dec 2, 2021Dec 2, 2021
    • PuzzleMix

      Public
      Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
      Jupyter Notebook
      MIT License
      1715900Updated Nov 25, 2021Nov 25, 2021
    • Official TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019)
      Python
      MIT License
      143700Updated Dec 7, 2020Dec 7, 2020
    • EMI

      Public
      Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
      Python
      MIT License
      113700Updated Dec 7, 2020Dec 7, 2020
    • "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019
      Python
      MIT License
      92110Updated Aug 22, 2019Aug 22, 2019
    • " End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization" accepted at CVPR2019
      Python
      MIT License
      22200Updated May 10, 2019May 10, 2019