A Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion
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Updated
Jun 1, 2024 - Python
A Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion
Continual Learning of Large Language Models: A Comprehensive Survey
Dans mon défi de développement et d'amélioration quotidienne, je vous présente "One Commit Per Day". Ce projet va au-delà d'un simple dépôt GitHub ; il incarne mon engagement quotidien envers l'amélioration continue de mes compétences en programmation. Chaque jour, un nouveau commit marque ma progression continue et ma passion pour le codage.
collection of diffusion model papers categorized by their subareas
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
Awesome Machine Unlearning (A Survey of Machine Unlearning)
✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
This repository contains a collection of papers and codes for continual reinforcement learning.
[ACL2024] A Codebase for Incremental Learning with Large Language Models; Official released code for "Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models (ACL 2024)", "Incremental Sequence Labeling: A Tale of Two Shifts (ACL 2024 Findings)", and "Concept-1K: A Novel Benchmark for Instance Incremental Learning (arxiv)"
Code for the paper "FOCIL: Finetune-and-Freeze for Online Class-Incremental Learning by Training Randomly Pruned Sparse Experts"
Official PyTorch implementation of paper "Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution Modeling" (TCSVT 2024)
PyCIL: A Python Toolbox for Class-Incremental Learning
AGILE NeurIPS 2023 cleaned version
Forecasting System for Continual Learning Scenarios based on Hoeffding Trees With Change Point Detection Mechanism
Code for the Continual Domain Randomization paper
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
This website applies a recommendation system and continuous learning.
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
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