LYang-666 / TRGPLinks
[ICLR 2022] Official Code Repository for "TRGP: TRUST REGION GRADIENT PROJECTION FOR CONTINUAL LEARNING"
☆21Updated 2 years ago
Alternatives and similar repositories for TRGP
Users that are interested in TRGP are comparing it to the libraries listed below
Sorting:
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 3 years ago
- ☆49Updated 2 years ago
- Invariant-feature Subspace Recovery (ISR)☆23Updated 2 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Updated last year
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆42Updated 2 years ago
- ☆86Updated 2 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu,…☆27Updated 2 years ago
- ☆38Updated 7 months ago
- This is the project for IRM methods☆12Updated 3 years ago
- ☆26Updated 3 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆28Updated last year
- Official implementation of the paper "Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay" (AAAI-2…☆18Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 2 years ago
- ☆13Updated last year
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆96Updated 2 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated last year
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆21Updated 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…☆45Updated 2 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228☆19Updated 3 years ago
- A PyTorch framework for Continual Learning research.☆22Updated last year
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆11Updated 3 months ago
- ☆44Updated last month
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆20Updated 4 years ago
- Predicting Out-of-Distribution Error with the Projection Norm☆18Updated 2 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆32Updated last year
- Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization☆13Updated 2 years ago