xiemk / SPML-LAC
☆16Updated last year
Related projects: ⓘ
- ☆48Updated 5 months ago
- Source code for NeurIPS 2022 paper SoLar☆26Updated 9 months ago
- [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization☆19Updated 2 years ago
- Code for "Towards Effective Visual Representations for Partial-Label Learning" in CVPR 2023.☆22Updated 9 months ago
- Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)☆14Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆89Updated 2 years ago
- Instance-Dependent Partial Label Learning(NIPS'21);Variational Label Enhancement for Instance-Dependent Partial Label Learning(TPAMI)☆25Updated last week
- ☆21Updated 2 years ago
- A curated list of most recent papers & codes in Learning with Partial/Complementary Labels☆45Updated this week
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 2 years ago
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆19Updated 2 years ago
- The source code and models for our paper PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction☆9Updated last year
- ☆42Updated 10 months ago
- Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".☆45Updated 4 years ago
- ☆36Updated this week
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆63Updated last year
- Awesome-open-world-learning☆24Updated 2 years ago
- ☆13Updated 3 years ago
- We present a new method for long-tailed out-of-distribution detection☆12Updated 8 months ago
- ☆12Updated last year
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆61Updated 3 weeks ago
- ☆13Updated last year
- ☆14Updated last year
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆75Updated 3 years ago
- ☆30Updated 7 months ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆34Updated last year
- Source code for ICLR 2022 paper "Meta Discovery: Learning to Discover Novel Classes given Very Limited Data".☆17Updated 8 months ago
- WACV 2022☆10Updated 2 years ago
- Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)☆52Updated 3 months ago
- ☆16Updated 2 years ago