tianyizhou / DIHCLLinks
Curriculum Learning by Dynamic Instance Hardness (NeurIPS 2020)
☆28Updated 4 years ago
Alternatives and similar repositories for DIHCL
Users that are interested in DIHCL are comparing it to the libraries listed below
Sorting:
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆100Updated 2 years ago
- ☆35Updated 4 years ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆40Updated 3 years ago
- The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Lea…☆53Updated 2 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆126Updated 3 years ago
- ☆17Updated 3 years ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Updated 3 years ago
- Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…☆45Updated 3 years ago
- Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"☆52Updated 2 years ago
- MLTI for ICLR 2022☆30Updated 3 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆42Updated 2 years ago
- ☆39Updated last year
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆80Updated 2 years ago
- ☆74Updated 3 years ago
- ☆50Updated 2 years ago
- Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆118Updated 5 years ago
- ☆15Updated 5 years ago
- Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020☆17Updated 3 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
- Awesome-open-world-learning☆26Updated 4 years ago
- Demonstrates failures of bias mitigation methods under varying types/levels of biases (WACV 2021)☆26Updated last year
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆99Updated 4 years ago
- ☆67Updated 3 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Updated 4 years ago
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 4 years ago
- Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)☆37Updated 5 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆75Updated 3 years ago
- ☆30Updated 3 years ago
- Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …☆205Updated 4 years ago