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 ... All rights w/ authors: "RecMem: Recurrence-based Google may have just taken a massive step toward true

Get 20% off at ===== My name is Artem, I'm a neuroscience PhD student at Harvard University. [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 ... Can we measure memories in networks of neurons in bytes? Or should we think of our In this paper, we propose CPS-Prompt, a critical patch-aware

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The AI That Can t Forget: Continual Learning via Sparse Memory Finetuning
Continual Learning via Sparse Memory Finetuning (Oct 2025)
Continual Learning via Sparse Memory Finetuning
Sparse Memory Finetuning: Continual Learning for LLMs with Minimal Forgetting
Sparse Memory Finetuning for Continual LMs
Continual Learning and Catastrophic Forgetting
Mathematics of Continual Learning - Liangzu Peng René Vidal - CoLLAs 2025
Continual Learning at Scale - Irina Rish -CoLLAs 2023
In-memory physical superposition meets few-shot continual learning
Phase Transitions in Agent Memory: Recurrent Memory
Did Google Just Solve AI’s BIGGEST Problem?!
A Brain-Inspired Algorithm For Memory
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The AI That Can t Forget: Continual Learning via Sparse Memory Finetuning

The AI That Can t Forget: Continual Learning via Sparse Memory Finetuning

The research paper proposes a novel approach to address **catastrophic forgetting** in large language models (LLMs) during ...

Continual Learning via Sparse Memory Finetuning (Oct 2025)

Continual Learning via Sparse Memory Finetuning (Oct 2025)

Title:

Continual Learning via Sparse Memory Finetuning

Continual Learning via Sparse Memory Finetuning

This research paper proposes a novel approach to address catastrophic forgetting in large language models (LLMs) during ...

Sparse Memory Finetuning: Continual Learning for LLMs with Minimal Forgetting

Sparse Memory Finetuning: Continual Learning for LLMs with Minimal Forgetting

Sparse Memory

Sparse Memory Finetuning for Continual LMs

Sparse Memory Finetuning for Continual LMs

In this AI Research Roundup episode, Alex discusses the paper: '

Continual Learning and Catastrophic Forgetting

Continual Learning and Catastrophic Forgetting

A lecture that discusses

Mathematics of Continual Learning - Liangzu Peng René Vidal - CoLLAs 2025

Mathematics of Continual Learning - Liangzu Peng René Vidal - CoLLAs 2025

... to add

Continual Learning at Scale - Irina Rish -CoLLAs 2023

Continual Learning at Scale - Irina Rish -CoLLAs 2023

Abstract: One of the objectives of

In-memory physical superposition meets few-shot continual learning

In-memory physical superposition meets few-shot continual learning

Deep convolutional neural networks (CNNs) have achieved remarkable success in computer vision tasks, like image classification ...

Phase Transitions in Agent Memory: Recurrent Memory

Phase Transitions in Agent Memory: Recurrent Memory

All rights w/ authors: "RecMem: Recurrence-based

Did Google Just Solve AI’s BIGGEST Problem?!

Did Google Just Solve AI’s BIGGEST Problem?!

Google may have just taken a massive step toward true

A Brain-Inspired Algorithm For Memory

A Brain-Inspired Algorithm For Memory

Get 20% off at https://shortform.com/artem ===== My name is Artem, I'm a neuroscience PhD student at Harvard University.

ContinualAI RG: "Optimal Continual Learning has Perfect Memory and is NP-hard"

ContinualAI RG: "Optimal Continual Learning has Perfect Memory and is NP-hard"

[06-11-2020] This Friday 5.30pm CET, for the ContinualAI Reading Group, Jeremias Knoblauch presented the paper: Title: ...

Razvan Pascanu - Continual learning for deep learning and deep reinforcement learning

Razvan Pascanu - Continual learning for deep learning and deep reinforcement learning

Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Razvan Pascanu (Google ...

How To Train Yourself To Have An Exceptional Memory

How To Train Yourself To Have An Exceptional Memory

Join my

Continual Learning Dilemma - Memory vs. Generalization - August 19, 2020

Continual Learning Dilemma - Memory vs. Generalization - August 19, 2020

Marcus Lewis discusses how

Hopfield network: How are memories stored in neural networks? [Nobel Prize in Physics 2024]  #SoME2

Hopfield network: How are memories stored in neural networks? [Nobel Prize in Physics 2024] #SoME2

Can we measure memories in networks of neurons in bytes? Or should we think of our

[CVPR] Critical Patch-Aware Sparse Prompting with Decoupled Training for Continual Learning

[CVPR] Critical Patch-Aware Sparse Prompting with Decoupled Training for Continual Learning

In this paper, we propose CPS-Prompt, a critical patch-aware

Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer

Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer

Short video for our paper: "