G-U-N / ICLR23-BEEFLinks
The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.
☆18Updated 2 years ago
Alternatives and similar repositories for ICLR23-BEEF
Users that are interested in ICLR23-BEEF are comparing it to the libraries listed below
Sorting:
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆153Updated last year
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆35Updated 2 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆90Updated last year
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated 2 years ago
- ✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction☆32Updated last year
- ☆55Updated 2 years ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆35Updated 6 months ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆25Updated 2 years ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆57Updated 10 months ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆58Updated 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
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆27Updated 3 years ago
- ICLR2024 paper on Continual Learning☆37Updated last year
- This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024☆34Updated last year
- Awesome-open-world-learning☆26Updated 4 years ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆46Updated 2 years ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆23Updated last year
- ☆30Updated 2 years ago
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆31Updated 8 months ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆80Updated 9 months ago
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆51Updated 2 years ago
- ☆26Updated 2 years ago
- External Knowledge Injection for CLIP-Based Class-Incremental Learning (ICCV 2025)☆50Updated last month
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆39Updated 2 years ago
- The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.☆44Updated 2 years ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆36Updated 2 years ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆101Updated 9 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆53Updated last year
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆124Updated last year
- [ICLR 2022] Open-World Semi-Supervised Learning☆106Updated 3 years ago