Lists (1)
Stars
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
PyTorch implementation of "PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning"
Model Stock: All we need is just a few fine-tuned models
Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024
[ECCV 2024] MagMax: Leveraging Model Merging for Seamless Continual Learning (official repository)
Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds (CVPR2025)
[AAAI 2025] Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
[NeurIPS 2024 Spotlight] Official implementation for "PACE: marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization"
(AAAI25) This is the offical repository of TTE: Two Tokens are Enough to Improve Parameter-Efficient Tuning.
Official code for AAAI 2025 paper: ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
Code for CoLLAs-2025 paper "Self-Regulated Neurogenesis for Online Data-Incremental Learning"
Official PyTorch implementation of our CVPR 2025 paper, "LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning."
Large Concept Models: Language modeling in a sentence representation space
PyTorch implementation of the Deep SLDA method from our CVPRW-2020 paper "Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis"
code and resources for our paper "Achieving Joint Training Accuracy in Continual Learning" in AAAI2025
Implementation for paper 'Coreset Selection via Reducible Loss in Continual Learning'
Code repository for the paper Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
Official Repository for the ICML 2024 paper "Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method"