Pinned Repositories
adainf
Official code for ICLR 2024 paper Do Generated Data Always Help Contrastive Learning?
AdvNotRealFeatures
Official Code for reproductivity of the NeurIPS 2023 paper: Adversarial Examples Are Not Real Features
CFA
CLIP-Help-SimCLR
Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning
ContraNorm
Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
DYNACL
[ICLR 2023] Official repository of the paper "Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning"
Generalist
CVPR 2023 generalist
non_neg
Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning
TMLlib
A Trustworthy Machine Learning Algorithm Library
U-MAE
Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
PKU-ML's Repositories
PKU-ML/non_neg
Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning
PKU-ML/ContraNorm
Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
PKU-ML/adainf
Official code for ICLR 2024 paper Do Generated Data Always Help Contrastive Learning?
PKU-ML/CLIP-Help-SimCLR
Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning
PKU-ML/CFA
PKU-ML/DYNACL
[ICLR 2023] Official repository of the paper "Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning"
PKU-ML/AdvNotRealFeatures
Official Code for reproductivity of the NeurIPS 2023 paper: Adversarial Examples Are Not Real Features
PKU-ML/Generalist
CVPR 2023 generalist
PKU-ML/Message-Passing-Contrastive-Learning
Official Code for ICLR 2023 Paper: A Message Passing Perspective on Learning Dynamics of Contrastive Learning
PKU-ML/ArchitectureMattersGCL
Official code for NeurIPS 2023 "Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning"
PKU-ML/Diffusion-PID-Protection
PKU-ML/LaplacianCanonization
Official code for NeurIPS 2023 paper "Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding".
PKU-ML/TMLlib
A Trustworthy Machine Learning Algorithm Library
PKU-ML/TERD
TERD: A Framework for Backdoor Detection on Diffusion Model
PKU-ML/ReBAT
Official PyTorch implementation of ReBAT (ReBalanced Adversarial Training) in NeurIPS 2023 "Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective".
PKU-ML/Tri-factor-Contrastive-Learning
Official Code for NeurIPS 2023 Paper: Identifiable Contrastive Learning with Automatic Feature Importance Discovery
PKU-ML/AT-for-OOD
Official code for NeurIPS 2022 paper "Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors"
PKU-ML/ClusterMIM
Official Code for ICLR 2024 Paper: On the Role of Discrete Tokenization in Visual Representation Learning
PKU-ML/nlb
Official Code for reproductivity of the ICLR Workshop DPFM 2024 paper: How to Craft Backdoors with Unlabeled Data Alone?
PKU-ML/Rank-Differential-Mechanism
Official code for ICLR 2023 paper "Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism"
PKU-ML/ISSLLib
An Interpretable Self-Supervised Learning Library.
PKU-ML/U-MAE
Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
PKU-ML/When-Adversarial-Training-Meets-Vision-Transformers
Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at NeurIPS 2022.
PKU-ML/ARC
Official Code for ICLR2022 Paper: Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
PKU-ML/DGC
Official Code of Decoupled Graph Convolution (DGC)
PKU-ML/LookAheadLookAround
PKU-ML/repgan
Official code of REPGAN (Reparameterized Sampling for Generative Adversarial Networks)
PKU-ML/Self-Ensemble-Adversarial-Training
SEAT