6 stories tagged with #continual-learning, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
⌘ RSS feed for this tag → or search "Continual Learning"
Trajectory, founded by ex-DeepMind, Apple, and OpenAI staff to train "continual learning" models on user interactions, raised a $15M seed at a $115M valuation (Maxwell Zeff/Wired)
DRIVE: Modeling Skills at the Reasoning and Interaction Levels for Web Agents under Continual Learning
Web agents require both high-level reasoning (for task decomposition) and low-level interactions (for page elements manipulation) to conduct different tasks. However, these knowled…
CP-MoE: Consistency-Preserving Mixture-of-Experts for Continual Learning
Catastrophic forgetting remains a major obstacle to continual learning in large language models (LLMs) and vision--language models (VLMs). Although Mixture-of-Experts (MoE) archite…
Tunable MAGMAX: Preference-Aware Model Merging for Continual Learning
Continual learning (CL) aims to train models sequentially on multiple tasks while mitigating catastrophic forgetting of previously learned knowledge. Recent advances in large pre-t…
Shapley Neuron Values for Continual Learning: Which Neurons Matter Most?
Continual learning enables neural networks to learn tasks sequentially without forgetting previously acquired knowledge. However, neural networks suffer from catastrophic forgettin…
Self-Distillation Enables Continual Learning [PDF]
Continual learning, enabling models to acquire new skills and knowledge without degrading existing capabilities, remains a fundamental challenge for foundation models. While on-pol…