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Lifelong learning

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/chandar-lab/Lifelong-Hanabi

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Continuous Coordination As a Realistic Scenario for Lifelong Learning

https://github.com/chandar-lab/lookbehind-sam

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Lookbehind-SAM: k steps back, 1 step forward

https://github.com/cly234/lreid-krkc

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Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation

https://github.com/computationalrobotics/discounted-adaptive

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Discounted Adaptive Online Learning: Towards Better Regularization

https://github.com/csiro-robotics/l3dmc

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L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space

https://github.com/dlpbc/mask-lrl

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Lifelong Reinforcement Learning with Modulating Masks

https://github.com/dmiu-shell/deeprl-shell

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Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks

https://github.com/doerlbh/mentalRL

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A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry

https://github.com/dtuzi123/Lifelong-Teacher-Student-Network-Learning

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Lifelong Teacher-Student Network Learning

https://github.com/dtuzi123/LifelongMixtureVAEs

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Lifelong Mixture of Variational Autoencoders

https://github.com/dtuzi123/LifelongVAEGAN

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Learning latent representations across multiple data domains using Lifelong VAEGAN

https://github.com/dtuzi123/expansion-graph-model

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Lifelong Generative Modelling Using Dynamic Expansion Graph Model

https://github.com/dtuzi123/lifelong-infinite-mixture-model

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Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process

https://github.com/duongnhatthang/BOSS

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Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear Bandits

https://github.com/enajx/HebbianMetaLearning

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Meta-Learning through Hebbian Plasticity in Random Networks

https://github.com/facebookresearch/agem

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Efficient Lifelong Learning with A-GEM

https://github.com/freeformrobotics/lifelong-monodepth

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Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation

https://github.com/gewu-lab/motion-based-self-reflection-framework

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Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction

https://github.com/giparisi/GDM

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Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization

https://github.com/google/edward2

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BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning

https://github.com/gyhandy/shared-knowledge-lifelong-learning

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Lightweight Learner for Shared Knowledge Lifelong Learning

https://github.com/hongwang600/Lifelong_Relation_Detection

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Sentence Embedding Alignment for Lifelong Relation Extraction

https://github.com/hyan-yao/lilodriver

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LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios

https://github.com/indusolo/unsup_ll

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U-TELL: Unsupervised Task Expert Lifelong Learning

https://github.com/ivclab/CPG

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Compacting, Picking and Growing for Unforgetting Continual Learning

https://github.com/jaryP/Master-thesis

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Efficient Continual Learning in Neural Networks with Embedding Regularization

https://github.com/jeslev/OpenNIR-Lifelong

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Studying Catastrophic Forgetting in Neural Ranking Models

https://github.com/jiazuoyu/moe-adapters4cl

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Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters

https://github.com/jingruihou/clnir

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Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation

https://github.com/jojotenya/LAMOL

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LAMOL: LAnguage MOdeling for Lifelong Language Learning

https://github.com/jramapuram/LifelongVAE_pytorch

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Lifelong Generative Modeling

https://github.com/jupilogy/swoks

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Statistical Context Detection for Deep Lifelong Reinforcement Learning

https://github.com/kaile-du/agcn

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Class-Incremental Lifelong Learning in Multi-Label Classification

https://github.com/kibok90/iccv2019-inc

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Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

https://github.com/knowledgetechnologyuhh/drill

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DRILL: Dynamic Representations for Imbalanced Lifelong Learning

https://github.com/kzl/aop

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Adaptive Online Planning for Continual Lifelong Learning

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