PKU-ML

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/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/Generalist

CVPR 2023 generalist

PKU-ML/AdvNotRealFeatures

Official Code for reproductivity of the NeurIPS 2023 paper: Adversarial Examples Are Not Real Features

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/LookAheadLookAround

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/repgan

Official code of REPGAN (Reparameterized Sampling for Generative Adversarial Networks)

PKU-ML/Self-Ensemble-Adversarial-Training

SEAT