PKU-ML's repositories
ContraNorm
Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
CLIP-Help-SimCLR
Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning
AdvNotRealFeatures
Official Code for reproductivity of the NeurIPS 2023 paper: Adversarial Examples Are Not Real Features
Generalist
CVPR 2023 generalist
Message-Passing-Contrastive-Learning
Official Code for ICLR 2023 Paper: A Message Passing Perspective on Learning Dynamics of Contrastive Learning
ArchitectureMattersGCL
Official code for NeurIPS 2023 "Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning"
LaplacianCanonization
Official code for NeurIPS 2023 paper "Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding".
Tri-factor-Contrastive-Learning
Official Code for NeurIPS 2023 Paper: Identifiable Contrastive Learning with Automatic Feature Importance Discovery
AT-for-OOD
Official code for NeurIPS 2022 paper "Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors"
ClusterMIM
Official Code for ICLR 2024 Paper: On the Role of Discrete Tokenization in Visual Representation Learning
Rank-Differential-Mechanism
Official code for ICLR 2023 paper "Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism"
When-Adversarial-Training-Meets-Vision-Transformers
Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at NeurIPS 2022.
ARC
Official Code for ICLR2022 Paper: Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
DGC
Official Code of Decoupled Graph Convolution (DGC)
repgan
Official code of REPGAN (Reparameterized Sampling for Generative Adversarial Networks)