WuYichen-97 / Meta-Continual-Learning-Revisited-ICLR2024Links
[ICLR 24 Oral/Outstanding Paper Honorable Mention Award π]
β35Updated last year
Alternatives and similar repositories for Meta-Continual-Learning-Revisited-ICLR2024
Users that are interested in Meta-Continual-Learning-Revisited-ICLR2024 are comparing it to the libraries listed below
Sorting:
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.β37Updated last year
- A paper list of our recent survey on continual learning, and other useful resources in this field.β82Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)β84Updated 6 months ago
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learningβ26Updated last year
- β16Updated 8 months ago
- Code for ICML 2024 paper (Oral) β Test-Time Model Adaptation with Only Forward Passesβ77Updated 9 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paperβ49Updated 3 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)β140Updated 9 months ago
- Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligenceβ21Updated last year
- ICLR2024 paper on Continual Learningβ36Updated last year
- The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Leaβ¦β49Updated last year
- [ECCV 2024] Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learningβ14Updated 8 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learningβ80Updated 2 months ago
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuningβ86Updated 7 months ago
- Online Prototype Learning for Online Continual Learning (ICCV 2023)β37Updated last year
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learningβ25Updated last week
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)β38Updated 3 months ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Classβ¦β90Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorchβ43Updated 2 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)β26Updated last year
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"β24Updated 2 years ago
- Code for ICML 2022 paper β Efficient Test-Time Model Adaptation without Forgettingβ121Updated 2 years ago
- [ICML23] On Pitfalls of Test-Time Adaptationβ116Updated last year
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"β23Updated 9 months ago
- CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV 2022)β18Updated last year
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.β52Updated 2 years ago
- β49Updated 2 years ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.β69Updated 2 months ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22β196Updated last year
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning οΌCVPR 2025οΌβ20Updated last month