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:
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- [NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities☆67Updated 2 months ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Updated last year
- [ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection☆88Updated 3 months ago
- OOD Generalization相关文章的阅读笔记☆35Updated last year
- ☆18Updated last year
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆12Updated 11 months ago
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated 2 years ago
- A curated list of awesome Mix☆72Updated 3 years ago
- ☆38Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29Updated 8 months ago
- [NeurIPS 2023] "Learning to Augment Distributions for Out-of-distribution Detection"☆12Updated 2 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated 2 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆90Updated last year
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆40Updated 2 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆63Updated 2 years ago
- The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.☆44Updated 2 years ago
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆124Updated last year
- Awesome Learn From Model Beyond Fine-Tuning: A Survey☆80Updated last year
- ☆24Updated 2 years ago
- ☆31Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆49Updated 3 years ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆94Updated last year
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆51Updated 2 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Updated 4 years ago
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆21Updated 3 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆53Updated 3 years ago
- [NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"☆12Updated last year
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆64Updated 4 months ago
- ☆26Updated 2 years ago