snucml / LargeLossMattersLinks
Large Loss Matters in Weakly Supervised Multi-Label Classification - CVPR2022
☆46Updated 2 years ago
Alternatives and similar repositories for LargeLossMatters
Users that are interested in LargeLossMatters are comparing it to the libraries listed below
Sorting:
- Multi-Label Learning from Single Positive Labels - CVPR 2021☆97Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Updated 3 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆41Updated 4 years ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆74Updated 2 years ago
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆71Updated 2 years ago
- ☆48Updated 2 years ago
- Multi-label Image Recognition with Partial Labels (IJCV'24, ESWA'24, AAAI'22)☆43Updated last year
- PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)☆61Updated 2 years ago
- Source code for NeurIPS 2022 paper SoLar☆30Updated 2 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 5 years ago
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆84Updated 4 years ago
- [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning☆70Updated 2 years ago
- Code for paper: Simple and Robust Loss Design for Multi-Label Learning with Missing Labels☆52Updated 2 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆153Updated 4 years ago
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆125Updated 3 weeks ago
- ☆43Updated 4 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 3 years ago
- [TPAMI 2023] Generative Multi-Label Zero-Shot Learning☆54Updated 2 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆29Updated 4 years ago
- [ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition☆80Updated 2 years ago
- Code for "Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification", ECCV 2020 Spotlight☆38Updated 5 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆105Updated 2 years ago
- A curated list of awesome Mix☆72Updated 3 years ago
- Official pytorch implementation of NeurIPS 2022 paper, TokenMixup☆48Updated 3 years ago
- Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets☆59Updated 2 years ago
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆78Updated 3 years ago
- ☆31Updated 9 months ago
- A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)☆44Updated 3 years ago
- Papers about long-tailed tasks☆90Updated 3 years ago
- [ACLW'24] LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition☆57Updated last year