yifanzhang-pro / Matrix-SSLLinks
[ICML 2024] Matrix Information Theory for Self-supervised Learning (https://arxiv.org/abs/2305.17326)
☆30Updated 2 months ago
Alternatives and similar repositories for Matrix-SSL
Users that are interested in Matrix-SSL are comparing it to the libraries listed below
Sorting:
- PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".☆39Updated 2 years ago
- ☆57Updated 2 years ago
- ☆48Updated 2 years ago
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆46Updated last year
- [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization☆37Updated last year
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆68Updated 2 years ago
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆49Updated 3 years ago
- Pytorch implementation of our CVPR 23' paper DivClust: Controlling Diversity in Deep Clustering.☆31Updated 2 years ago
- (ICML 2024) PyTorch implementation of "Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes"☆17Updated last year
- This is the source code of LRA-diffusion for learning from noisy labels☆35Updated 2 months ago
- [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning☆69Updated 2 years ago
- The official github repo for "Test-Time Training with Masked Autoencoders"☆88Updated 2 years ago
- Towards Unified and Effective Domain Generalization☆32Updated 2 years ago
- Official pytorch implementation of NeurIPS 2022 paper, TokenMixup☆48Updated 3 years ago
- Data-Efficient Multimodal Fusion on a Single GPU☆68Updated last year
- [AAAI 2022 Oral] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tail…☆33Updated 3 years ago
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆60Updated 11 months ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆72Updated 3 years ago
- This is the official implementation for Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models.☆32Updated 2 years ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆72Updated 7 months ago
- Code for ICML 2023 paper "When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis"☆13Updated 2 years ago
- ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation☆76Updated last year
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆43Updated last year
- Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024 / Generalized Kullback-Leibler Divergence Loss (GKL)☆48Updated 4 months ago
- ☆22Updated 4 years ago
- Codes for IJCAI'2022 Paper: Zero-Shot Logit Adjustment☆19Updated 3 years ago
- This is an implementation of the paper "Are We Done with Object-Centric Learning?"☆11Updated 2 months ago
- Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]☆23Updated last year
- Repository containing the code used for running the experiments of the Poincare ResNet paper☆28Updated 2 years ago