THUMNLab / CurBenchLinks
☆11Updated this week
Alternatives and similar repositories for CurBench
Users that are interested in CurBench are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities☆67Updated 2 months ago
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆90Updated last year
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆21Updated 3 years ago
- OOD Generalization相关文章的阅读笔记☆35Updated last year
- CVPR 2022 paper☆16Updated 3 years ago
- [ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection☆88Updated 3 months ago
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆12Updated 11 months ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆63Updated 2 years ago
- ☆38Updated last year
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated 2 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Updated 4 years ago
- A curated list of awesome Mix☆72Updated 3 years ago
- ☆31Updated 2 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated 2 years ago
- ☆18Updated last year
- Awesome Learn From Model Beyond Fine-Tuning: A Survey☆80Updated last year
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆124Updated last year
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆51Updated 2 years ago
- IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models☆59Updated 2 years ago
- Awesome-open-world-learning☆26Updated 4 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Updated last year
- The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"☆21Updated last year
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆39Updated 2 years ago
- Reliable Conflictive Multi-view Learning☆94Updated last year
- [Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)☆163Updated last year
- Code for CVPR 2024 paper: Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation☆21Updated last year
- [CVPR 2024] Targeted Representation Alignment for Open-World Semi-Supervised Learning☆15Updated last year
- [NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"☆12Updated last year
- ☆24Updated 2 years ago