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Continual/Lifelong/Incremental Learning

Code for the EMNLP2020 long paper "Lifelong Language Knowledge Distillation" https://arxiv.org/abs/2010.02123

This repository collects important papers in the field of Continual Reinforcement Learning and Lifelong Reinforcement Learning.

Implementation for the paper "Learning Invariant Representation for Continual Learning" in PyTorch.

The official PyTorch code for AAAI'23 Paper "Sparse Coding in a Dual Memory System for Lifelong Learning"

Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"

A PyTorch-based optimizer wrapper for continual learning via selective fine-tuning, guided by the condition number κ (kappa) of model tensors. KappaTune identifies and updates only the least anisotropic parameters to preserve pre-trained knowledge and mitigate catastrophic forgetting.

This is an official PyTorch implementation of "Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting"

code for our IJCAI 2018 paper : "Lifelong Domain Word Embedding via Meta-Learning"

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