G-U-N / ICLR23-BEEFView external linksLinks
The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.
☆18May 25, 2023Updated 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:
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）☆31Jan 28, 2026Updated 2 weeks ago
- ☆21Jan 5, 2023Updated 3 years ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆58Nov 29, 2022Updated 3 years ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆46Mar 21, 2023Updated 2 years ago
- Implementation of "A Large-Scale Study of Probabilistic Calibration in Neural Network Regression" (ICML 2023)☆11Oct 7, 2025Updated 4 months ago
- ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse☆49Sep 2, 2023Updated 2 years ago
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆58Jun 9, 2025Updated 8 months ago
- External Knowledge Injection for CLIP-Based Class-Incremental Learning (ICCV 2025)☆51Nov 19, 2025Updated 2 months ago
- The code implementation of the <Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning> in The Co…☆14May 25, 2023Updated 2 years ago
- a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.☆107Sep 3, 2025Updated 5 months ago
- The code repository for "Task-Agnostic Guided Feature Expansion for Class-Incremental Learning" (CVPR25)☆25Dec 31, 2025Updated last month
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆44Jun 29, 2024Updated last year
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆153Aug 25, 2024Updated last year
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆148Jun 30, 2022Updated 3 years ago
- [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models☆31Jun 9, 2025Updated 8 months ago
- ☆22Jul 17, 2023Updated 2 years ago
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆31Apr 16, 2025Updated 9 months ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Jun 6, 2023Updated 2 years ago
- [ECCV 2024] Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation☆33Mar 3, 2025Updated 11 months ago
- Official implementation of "Mixture of Experts Meets Prompt-Based Continual Learning" (NeurIPS 2024)☆41Aug 1, 2025Updated 6 months ago
- Code Release for Learning to Adapt to Evolving Domains☆31Jul 21, 2021Updated 4 years ago
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆35Feb 10, 2023Updated 3 years ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆37May 19, 2023Updated 2 years ago
- 武汉大学2020年“零杯”网页设计大赛零组 return 0;队 一等奖参赛作品☆10Dec 15, 2020Updated 5 years ago
- An official implementation of "ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation" (NeurIPS 2022)…☆49Dec 19, 2022Updated 3 years ago
- Matlab code for "Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering".☆10Jun 5, 2023Updated 2 years ago
- pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning☆10May 31, 2023Updated 2 years ago
- Team FDVTS_DR's solutions for MICCAI2022 Diabetic Retinopathy Analysis Challenge (DRAC)☆14Mar 5, 2024Updated last year
- (NeurIPS 2024) One-shot Federated Learning via Synthetic Distiller-Distillate Communication☆13Mar 11, 2025Updated 11 months ago
- CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization☆13Aug 3, 2024Updated last year
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ …☆473Jul 30, 2024Updated last year
- 🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox☆562Jan 29, 2026Updated 2 weeks ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆40Aug 7, 2022Updated 3 years ago
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆39Aug 21, 2023Updated 2 years ago
- [ICML 2022] "Neural Implicit Dictionary via Mixture-of-Expert Training" by Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang☆40Jan 11, 2024Updated 2 years ago
- ☆12Oct 24, 2023Updated 2 years ago
- This is the official implementation of the ICML 2023 paper "Fair yet Asymptotically Equal Collaborative Learning"☆10May 29, 2023Updated 2 years ago
- Github Repo for ICML 2022 paper: Communication-Efficient Adaptive Federated Learning☆10Nov 18, 2022Updated 3 years ago
- Enhancing Ultrahigh Resolution Remote Sensing Imagery Analysis With ImageRAG [GRSM]☆28Feb 4, 2026Updated last week