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: '

Sparse Memory Finetuning Continual Learning - 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: ' In this paper, we propose CPS-Prompt, a critical patch-aware Deep convolutional neural networks (CNNs) have achieved remarkable success in computer vision tasks, like image classification ... 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. In this AI Research Roundup episode, Alex discusses the paper: 'A Mechanistic Investigation of Supervised [06-11-2020] This Friday 5.30pm CET, for the ContinualAI Reading Group, Jeremias Knoblauch presented the paper: Title: ... This has been my favorite video so far to make! I think interpretability is so important both in terms of ensuring safe AI and also ... All rights w/ authors: "RecMem: Recurrence-based multitasklearning Catastrophic forgetting is a big problem in mutli-task and

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

Sparse Memory Finetuning: Continual Learning for LLMs with Minimal Forgetting

Sparse Memory Finetuning

Continual Learning via Sparse Memory Finetuning (Oct 2025)

Continual Learning via Sparse Memory Finetuning (Oct 2025)

Title:

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

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 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

[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

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 ...

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

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

... to add

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.

Probing LLM Fine-Tuning via Sparse Autoencoders

Probing LLM Fine-Tuning via Sparse Autoencoders

In this AI Research Roundup episode, Alex discusses the paper: 'A Mechanistic Investigation of Supervised

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: ...

A Window  Into LLMs | Sparse Autoencoders Explained

A Window Into LLMs | Sparse Autoencoders Explained

This has been my favorite video so far to make! I think interpretability is so important both in terms of ensuring safe AI and also ...

Phase Transitions in Agent Memory: Recurrent Memory

Phase Transitions in Agent Memory: Recurrent Memory

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

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: "

Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments (Review)

Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments (Review)

multitasklearning #biology #neuralnetworks Catastrophic forgetting is a big problem in mutli-task and