G-U-N / ICLR23-BEEF
The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.
☆14Updated last year
Related projects ⓘ
Alternatives and complementary repositories for ICLR23-BEEF
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆34Updated last year
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆24Updated last year
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆51Updated last year
- ☆44Updated last year
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆23Updated 2 years ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆39Updated last year
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆37Updated 2 months ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆28Updated 4 months ago
- Official Repository for the ICML 2023 paper "BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning"☆12Updated last year
- ☆33Updated 8 months ago
- The code repository for "Co-Transport for Class-Incremental Learning" (ACM MM'21) in PyTorch.☆12Updated 2 years ago
- A Unified Continual Learning Framework with General Parameter-Efficient Tuning, ICCV 2023 [PyTorch Code]☆69Updated last month
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆74Updated 9 months ago
- [ICCV-2023] Heterogeneous Forgetting Compensation for Class-Incremental Learning☆12Updated 11 months ago
- Pytorch implementation of: "Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment", ECCV22☆11Updated 2 years ago
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆30Updated last year
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.☆35Updated 11 months ago
- Code for "Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning"☆19Updated 2 years ago
- ☆25Updated last year
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆56Updated 2 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆118Updated 2 months ago
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆24Updated last year
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆18Updated 7 months ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆33Updated last year
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆18Updated 3 months ago
- ☆29Updated last year
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆47Updated 9 months ago
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 3 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆82Updated last year