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Lifelong learning

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Showing 151–175 of 475 papers

TitleStatusHype
Cross-Modal Alternating Learning with Task-Aware Representations for Continual LearningCode0
Evaluating Pretrained models for Deployable Lifelong Learning—0
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models—0
LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery—0
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents—0
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong LearningCode0
Lifelong Learning for Fog Load Balancing: A Transfer Learning Approach—0
Design Principles for Lifelong Learning AI Accelerators—0
Lifelong Robot Learning with Human Assisted Language Planners—0
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference—0
Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields—0
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible RepresentationsCode0
Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluationCode0
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning—0
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature SpaceCode0
Lookbehind-SAM: k steps back, 1 step forwardCode0
Embodied Lifelong Learning for Task and Motion Planning—0
GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic ManipulationCode0
Scaling Distributed Multi-task Reinforcement Learning with Experience Sharing—0
Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion—0
A framework for dynamically training and adapting deep reinforcement learning models to different, low-compute, and continuously changing radiology deployment environments—0
Context selectivity with dynamic availability enables lifelong continual learningCode0
Multi-environment lifelong deep reinforcement learning for medical imaging—0
Lifelong Language Pretraining with Distribution-Specialized Experts—0
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models—0
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