Media Summary: The research paper proposes a novel approach to address **catastrophic forgetting** in large language models (LLMs) during ... This research paper proposes a novel approach to address catastrophic forgetting in large language models (LLMs) during ... In this AI Research Roundup episode, Alex discusses the paper: '
Continual Learning Via Sparse Memory - Detailed Analysis & Overview
The research paper proposes a novel approach to address **catastrophic forgetting** in large language models (LLMs) during ... This research paper proposes a novel approach to address catastrophic forgetting in large language models (LLMs) during ... In this AI Research Roundup episode, Alex discusses the paper: ' Deep convolutional neural networks (CNNs) have achieved remarkable success in computer vision tasks, like image classification ... [06-11-2020] This Friday 5.30pm CET, for the ContinualAI Reading Group, Jeremias Knoblauch presented the paper: Title: ... Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Razvan Pascanu (Google ...
Discover how task similarity drives catastrophic forgetting in neural networks — and what it means for building robust AI systems. [March 26th 2020] ContinualAI Meetup: "Neuroscience-Inspired
