timgaripov / asaLinks
Code for paper "Adversarial Support Alignment"
☆23Updated 3 years ago
Alternatives and similar repositories for asa
Users that are interested in asa are comparing it to the libraries listed below
Sorting:
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 4 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆79Updated 4 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 4 years ago
- Coresets via Bilevel Optimization☆68Updated 5 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 4 years ago
- ☆18Updated 4 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 4 years ago
- ☆39Updated last year
- Automatic Recall Machines: Internal Replay, Continual Learning and the Brain☆11Updated 5 years ago
- ☆110Updated 2 years ago
- ☆36Updated 3 years ago
- ☆36Updated 4 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆28Updated 2 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆65Updated 6 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆48Updated 4 years ago
- Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.☆10Updated last year
- JMLR Cover Letter Template☆10Updated 3 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- LISA for ICML 2022☆52Updated 2 years ago
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆27Updated 4 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45Updated 2 years ago
- ☆34Updated 6 months ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆88Updated 3 years ago