wrh14 / online_adaptation_to_label_distribution_shiftLinks
Code repo for the NeurIPS 2021 paper "Online Adaption to Label Distribution Shift".
☆15Updated 2 years ago
Alternatives and similar repositories for online_adaptation_to_label_distribution_shift
Users that are interested in online_adaptation_to_label_distribution_shift are comparing it to the libraries listed below
Sorting:
- ☆49Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- This is the project for IRM methods☆12Updated 3 years ago
- ☆44Updated 3 months ago
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated 2 years ago
- ☆40Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.☆49Updated 3 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆57Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 4 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆61Updated 3 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- Crawl & visualize ICLR papers and reviews.☆107Updated 3 years ago
- Code for 'CausalAdv: Adversarial Robustness Through the Lens of Causality'☆43Updated last year
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆74Updated 3 years ago
- ☆86Updated 2 years ago
- ☆46Updated 2 years ago
- ☆12Updated 2 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- ☆37Updated 4 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 3 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆127Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- A python package providing a benchmark with various specified distribution shift patterns.☆58Updated last year
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated 2 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆13Updated 3 years ago