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[AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follower approach utilizes a combination of a planning algorithm for constructing a long-term plan and reinforcement learning for resolving local conflicts.

A language model that forms persistent memories from conversation and maintains them through sleep. MEMIT weight editing + null-space-constrained maintenance.

[ICLR 2025] Released code for paper "Spurious Forgetting in Continual Learning of Language Models"

A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"

CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!

Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch

PyTorch implementation of the Deep SLDA method from our CVPRW-2020 paper "Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis"

The code for lifelong few-shot language learning

No description available from source.

Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.