MediaBrain-SJTU / BCLLinks
[ICML2022] Contrastive Learning with Boosted Memorization
☆111Updated last year
Alternatives and similar repositories for BCL
Users that are interested in BCL are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] PyTorch implementation for "Long-Tailed Partial Label Learning via Dynamic Rebalancing"☆57Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆94Updated 3 years ago
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆125Updated last year
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆128Updated 4 months ago
- [CVPR 2022] PyTorch implementation of Hierarchical Contrastive Selective Coding (HCSC) (https://arxiv.org/abs/2202.00455)☆133Updated 3 years ago
- [ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition☆80Updated last year
- ☆61Updated 2 years ago
- This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Re…☆164Updated 2 years ago
- [ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference …☆161Updated 3 years ago
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆102Updated 2 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆77Updated 4 years ago
- Notes and paper reports for machine learning☆25Updated 4 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆220Updated last year
- This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.☆18Updated last year
- Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’☆20Updated 4 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆72Updated 9 months ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆70Updated 3 years ago
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Updated 3 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆76Updated 3 years ago
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆84Updated 3 years ago
- A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.☆184Updated 2 years ago
- code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'☆107Updated 3 years ago
- Papers about long-tailed tasks☆89Updated 2 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆137Updated 2 years ago
- Source code for NeurIPS 2022 paper SoLar☆29Updated last year
- ☆50Updated 2 years ago
- [ICLR 2022] Open-World Semi-Supervised Learning☆104Updated 3 years ago
- PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)☆61Updated last year
- ☆49Updated last year
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 3 years ago