JackHck / MADAugLinks
[ICCV 2023] MADAug: When to Learn What: Model-Adaptive Data Augmentation Curriculum
☆19Updated 2 years ago
Alternatives and similar repositories for MADAug
Users that are interested in MADAug are comparing it to the libraries listed below
Sorting:
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 3 years ago
- [ICLR 2022] Open-World Semi-Supervised Learning☆106Updated 3 years ago
- [ICCV 2023] Subclass-balancing contrastive learning for long-tailed recognition☆18Updated 2 years ago
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆71Updated 2 years ago
- An awesome paper list of Semi-Supervised Learning under realistic settings.☆127Updated last year
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆97Updated 2 years ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated last year
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆36Updated 2 years ago
- Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)☆96Updated last year
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆123Updated 2 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆63Updated 2 years ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆73Updated 2 years ago
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆73Updated 3 years ago
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆69Updated 2 years ago
- ☆40Updated last year
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆201Updated 2 years ago
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆41Updated 2 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆63Updated last year
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Updated 3 years ago
- The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"☆56Updated 2 years ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆135Updated 2 years ago
- Awesome-open-world-learning☆26Updated 4 years ago
- Official implementation of "Towards Distribution-Agnostic Generalized Category Discovery" (NIPS 2023)☆25Updated 2 years ago
- [AAAI 2023] Generalized Category Discovery with Decoupled Prototypical Network☆34Updated last year
- ☆61Updated 2 years ago
- Source code for NeurIPS 2022 paper SoLar☆30Updated 2 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆141Updated 2 years ago
- [ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference …