HJ-Yoo / BOILLinks
☆15Updated 5 years ago
Alternatives and similar repositories for BOIL
Users that are interested in BOIL are comparing it to the libraries listed below
Sorting:
- ☆39Updated last year
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 4 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆28Updated 2 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆33Updated 3 years ago
- ☆30Updated 4 years ago
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Updated 4 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 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☆124Updated 4 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- ☆67Updated 4 years ago
- Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)☆37Updated 5 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆73Updated 3 years ago
- "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020☆23Updated 3 years ago
- ☆44Updated 3 months ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 3 years ago
- MoCo with Alignment and Uniformity Loss.☆63Updated 4 years ago
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆30Updated 2 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆94Updated 5 years ago
- ☆31Updated 4 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 4 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45Updated 2 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated 2 years ago
- Neuro-Inspired Stability-Plasticity Adaptation for Sparse Continual Learning☆22Updated 2 years ago
- LISA for ICML 2022☆52Updated 2 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆36Updated 4 years ago
- ☆28Updated 4 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆44Updated 3 years ago
- [ICML 2022] Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder☆24Updated last year
- ☆23Updated 4 years ago