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Information Continual Learning via Sparse Memory Finetuning News
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Full The AI That Can t Forget: Continual Learning via Sparse Memory Finetuning News
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Continual Learning With LoRA - Never Stop Training AI Model
Continual Learning With LoRA - Never Stop Training AI Model
Continual Learning via Sparse Memory Finetuning (Oct 2025)
Continual Learning via Sparse Memory Finetuning (Oct 2025)
Agents need continual learning.
Agents need continual learning.
Continual Learning Mechanisms Compose for Long-Horizon Memorization (Sep 2026)
Continual Learning Mechanisms Compose for Long-Horizon Memorization (Sep 2026)
Scaling up Continual Learning — Ronak Malde, Trajectory
Scaling up Continual Learning — Ronak Malde, Trajectory
Sparse Memory Finetuning: Continual Learning for LLMs with Minimal Forgetting
Sparse Memory Finetuning: Continual Learning for LLMs with Minimal Forgetting
Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin
Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin
You Can Build Self-Improving AI Agents in 16min:  Continual Learning | Wind Turbine AI Project
You Can Build Self-Improving AI Agents in 16min: Continual Learning | Wind Turbine AI Project
Fast Weight Attention for Continual Learning Explained (AI That Learns While It Reads)
Fast Weight Attention for Continual Learning Explained (AI That Learns While It Reads)
Raymond Chua - Predictive Representations and Memory for Continual Reinforcement Learning
Raymond Chua - Predictive Representations and Memory for Continual Reinforcement Learning
Razvan Pascanu - Continual learning for deep learning and deep reinforcement learning
Razvan Pascanu - Continual learning for deep learning and deep reinforcement learning

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Last Updated: September 18, 2026

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Full Continual Learning Is the Next Bottleneck | Rohan Anil (Core Automation ) News
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In this AI Research Roundup episode, Alex discusses the paper: ' This research paper proposes a novel approach to address catastrophic forgetting in large language models (LLMs) during ... The research paper proposes a novel approach to address **catastrophic forgetting** in large language models (LLMs) during ... Rohan Anil spent eleven and a half years at Google, where he went from arxiv - arxiv.org/pdf/2311.17601 Become AI Researcher & Train At supermemory, we are doubling down and pushing the frontier for Scale on policy self distillation to trajectories with a hundred tool calls and the model collapses into hedging. The tokens it learns ... Dan Biderman and Jessy Lin, co-founders of Engram, are building a neolab around This is a full walkthrough of Self-Improving Production AI Agents with Ask an AI trained on 10-digit addition to add 20-digit numbers and it often falls apart. A new paper says the fix is rethinking what ... Biological agents, such as humans and animals, are capable of Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Razvan Pascanu (Google ...

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