Stars
General Continual Learning Toolkits with FlyPrompt
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Official Code Repository for Our Paper “Spacing effect improves generalization in biological and artificial systems”
[ICLR 2025] Official PyTorch implementation of our paper for general continual learning "Advancing Prompt-Based Methods for Replay-Independent General Continual Learning".
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence
This repository is the official implementation of our paper (From reactive to cognitive: brain-inspired spatial intelligence for embodied agents)
Versatile Cardiovascular Signal Generation with a Unified Diffusion Transformer
Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation
[ECCV 2024 Oral] MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
Deep Learning Book Chinese Translation
Awesome things about domain generalization, including papers, code, etc.
Code release for Open Domain Generalization with Domain-Augmented Meta-Learning (CVPR2021)
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…
[KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation
In this work, we introduce Region-Disentangled Diffusion Model (RDDM), a novel diffusion model designed to capture the complex temporal dynamics of ECG.
A repository and benchmark for online test-time adaptation.
Multi-level Online Sequential Experts (MOSE) for online continual learning problem. (CVPR2024)
MiniCPM4 & MiniCPM4.1: Ultra-Efficient LLMs on End Devices, achieving 3+ generation speedup on reasoning tasks
🎉🎨 Papers, CODE, Datasets for Neuromodulated Learning and Brain-Inspired Computing
A list of papers that studies Novel Class Discovery
Official implementation of the paper "Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection"
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
A clean and simple data loading library for Continual Learning
Official Implementation of NeurIPS 2023 paper "Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation"
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-tr…
A paper list of our recent survey on continual learning, and other useful resources in this field.