Continual Learning With Dependency Preserving

Media Summary: Authors: DUPATI, SRIKAR CHANDRA*; Varshney, Sakshi; Srijith, P. K.; Gupta, Sunil Description: Humans learn Stephanie Chan from DeepMind visited the Kempner Seminar Series on February 6, 2026, to discuss: "What Happens After We ... So some of you might have noticed that these issues are deeply related to existing research directions in

Continual Learning With Dependency Preserving - Detailed Analysis & Overview

Authors: DUPATI, SRIKAR CHANDRA*; Varshney, Sakshi; Srijith, P. K.; Gupta, Sunil Description: Humans learn Stephanie Chan from DeepMind visited the Kempner Seminar Series on February 6, 2026, to discuss: "What Happens After We ... So some of you might have noticed that these issues are deeply related to existing research directions in Authors: Kishan Parshotam, Mert Kilickaya Description: We propose Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Razvan Pascanu (Google ... The research paper proposes a novel approach to address **catastrophic forgetting** in large language models (LLMs) during ...

We have models that pass the bar exam and write functional code in seconds. But if you actually use them for real work, you ... Discover how task similarity drives catastrophic forgetting in neural networks — and what it means for building robust AI systems.

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Continual Learning with Dependency Preserving Hypernetworks

Continual Learning with Dependency Preserving Hypernetworks

Authors: DUPATI, SRIKAR CHANDRA*; Varshney, Sakshi; Srijith, P. K.; Gupta, Sunil Description: Humans learn

What Happens After We Solve Continual Learning? with Stephanie Chan

What Happens After We Solve Continual Learning? with Stephanie Chan

Stephanie Chan from DeepMind visited the Kempner Seminar Series on February 6, 2026, to discuss: "What Happens After We ...

Continual Learning and Catastrophic Forgetting

Continual Learning and Catastrophic Forgetting

A lecture that discusses

Maintaining Plasticity in Deep Continual Learning - Rich Sutton - CoLLAs 2022

Maintaining Plasticity in Deep Continual Learning - Rich Sutton - CoLLAs 2022

Abstract: Any

What Happens After We Solve Continual Learning - Stephanie Chan - CoLLAs 2025

What Happens After We Solve Continual Learning - Stephanie Chan - CoLLAs 2025

So some of you might have noticed that these issues are deeply related to existing research directions in

Continual Learning of Object Instances

Continual Learning of Object Instances

Authors: Kishan Parshotam, Mert Kilickaya Description: We propose

Bayesian continual learning and forgetting in neural networks - Kellian COTTART

Bayesian continual learning and forgetting in neural networks - Kellian COTTART

...

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 ...

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 ...

Why Continual Learning?

Why Continual Learning?

We have models that pass the bar exam and write functional code in seconds. But if you actually use them for real work, you ...

[Continual Learning Course] Lecture #2: Understanding Catastrophic Forgetting

[Continual Learning Course] Lecture #2: Understanding Catastrophic Forgetting

Course Title: "

Nested Learning & HOPE: Unlocking Continual Learning in AI

Nested Learning & HOPE: Unlocking Continual Learning in AI

Nested

Task Similarity & Forgetting | Continual Learning Systems | PAMCET

Task Similarity & Forgetting | Continual Learning Systems | PAMCET

Discover how task similarity drives catastrophic forgetting in neural networks — and what it means for building robust AI systems.