chingyaoc / RINCELinks
CVPR 2022, Robust Contrastive Learning against Noisy Views
☆83Updated 3 years ago
Alternatives and similar repositories for RINCE
Users that are interested in RINCE are comparing it to the libraries listed below
Sorting:
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- Weakly Supervised Contrastive Learning☆41Updated 3 years ago
- [ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition☆79Updated last year
- ☆27Updated 3 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆37Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆93Updated 3 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆53Updated 2 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated 2 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆50Updated 2 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- Source code for NeurIPS 2022 paper SoLar☆29Updated last year
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆70Updated 3 years ago
- MoCo with Alignment and Uniformity Loss.☆62Updated 3 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated last month
- [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning☆69Updated last year
- [ACLW'24] LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition☆52Updated 10 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated last year
- [CVPR 2021] Code release for "Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination."☆101Updated 3 years ago
- Multimodal Masked Autoencoders (M3AE): A JAX/Flax Implementation☆103Updated 3 months ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 3 years ago
- Interactive Multi-Label CNN Learning with Partial Labels @ CVPR20☆22Updated 3 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago
- ImageNetV2 Pytorch Dataset☆41Updated 2 years ago
- Implementation of Multi-View Information Bottleneck☆134Updated 5 years ago
- MetaMix for ICML 2021☆27Updated 4 years ago
- This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.☆18Updated last year
- ☆64Updated 2 years ago