This repository is the official implementation of the TRAC optimizer in Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning.

Official repositiory of Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation

[NeurIPS 2024] GITA: Graph to Image-Text Integration for Vision-Language Graph Reasoning

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)

Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes

Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning

Must-read Papers on Large Language Model (LLM) Planning.

Official implementation of "Data Scaling Laws in Imitation Learning for Robotic Manipulation"

PyGDA is a Python library for Graph Domain Adaptation

Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.

A reading list on LLM based Synthetic Data Generation 🔥

links to conference publications in graph-based deep learning

[KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation

Awesome Graph Condensation Papers

[ICLR'24] Democratizing Fine-grained Visual Recognition with Large Language Models

[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?"

Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

Code for CVPR 2024 paper - Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Writing AI Conference Papers: A Handbook for Beginners

Tips for Writing a Research Paper using LaTeX

[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.

Awesome Incremental / Continual / Lifelong Generative Learning

This repository collects awesome survey, resource, and paper for Lifelong Learning with Large Language Models. (Updated Regularly)

Awesome Incremental Learning

PyTorch implementation of paper "Evolving Parameterized Prompt Memory for Continual Learning" in AAAI 2024 (Oral).

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

An Incremental Learning, Continual Learning, and Life-Long Learning Repository