LYang-666 / TRGPLinks
[ICLR 2022] Official Code Repository for "TRGP: TRUST REGION GRADIENT PROJECTION FOR CONTINUAL LEARNING"
☆21Updated 3 years ago
Alternatives and similar repositories for TRGP
Users that are interested in TRGP are comparing it to the libraries listed below
Sorting:
- translation of VHL repo in paddle☆25Updated 2 years ago
- ☆49Updated 3 years ago
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 4 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- ☆89Updated 2 years ago
- Build PyTorch CIFAR100 using coarse labels☆39Updated 5 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Updated last week
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆55Updated 2 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Updated 2 years ago
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Updated 4 years ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆99Updated 4 years ago
- Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization☆13Updated 2 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Updated 2 years ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Updated 3 years ago
- ☆44Updated 2 months ago
- Official implementation of the paper "Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay" (AAAI-2…☆18Updated 3 years ago
- Invariant-feature Subspace Recovery (ISR)☆23Updated 3 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆47Updated 3 years ago
- ☆18Updated 3 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆45Updated 2 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆100Updated 2 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆62Updated 4 years ago
- ☆39Updated last year
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- ☆24Updated 2 years ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Updated 3 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 3 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 4 years ago
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆20Updated 5 years ago
- Coresets via Bilevel Optimization☆68Updated 5 years ago