ynchuang / awesome-efficient-xai
☆16Updated 2 years ago
Alternatives and similar repositories for awesome-efficient-xai:
Users that are interested in awesome-efficient-xai are comparing it to the libraries listed below
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29Updated 10 months ago
- Data Optimization in Deep Learning: A Survey☆18Updated last year
- An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS, 2023.☆11Updated last year
- ☆48Updated 2 years ago
- ☆43Updated 3 weeks ago
- ☆34Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated last year
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- ☆46Updated 2 years ago
- LISA for ICML 2022☆48Updated 2 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 3 years ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆13Updated 2 months ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆59Updated 3 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Updated 2 years ago
- C-Mixup for NeurIPS 2022☆70Updated last year
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 3 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- [ICML23] On Pitfalls of Test-Time Adaptation☆115Updated last year
- Paper of out of distribution detection and generalization☆56Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆96Updated 2 months ago
- translation of VHL repo in paddle☆25Updated last year
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆28Updated 2 years ago
- We have created a new Github repository. Please visit https://github.com/ynchuang/DiscoverPath for the latest update.☆17Updated last year
- This is the project for IRM methods☆12Updated 3 years ago