Media Summary: Improving Generalization in Meta learning via Task Augmentation Authors: Nishant Jain, Arun S. Suggala and Pradeep Shenoy To appear in IEEE/CVF Conference on Computer Vision and Pattern ... Invited talk by Amy Zhang (UC Berkeley and Facebook AI Research) on June 7, 2021 at UCL DARK. Abstract: The benefit of ...

Improving Generalization In Meta Learning - Detailed Analysis & Overview

Improving Generalization in Meta learning via Task Augmentation Authors: Nishant Jain, Arun S. Suggala and Pradeep Shenoy To appear in IEEE/CVF Conference on Computer Vision and Pattern ... Invited talk by Amy Zhang (UC Berkeley and Facebook AI Research) on June 7, 2021 at UCL DARK. Abstract: The benefit of ... (CVPR 2023) presented by Lianzhe Wang. co-authors: Lianzhe Wang Shiji Zhou Shanghang Zhang Xu Chu Heng Chang ... If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: ... Jascha Sohl-Dickstein (Google Brain) Frontiers of Deep

The field of Artificial Intelligence is moving at great velocity. Despite the fact that we can now create (deep) neural networks that ... This is a talk by Ilya Sutskever for course 6.S099: Artificial General Intelligence. He is the Co-Founder of OpenAI. This class is free ...

Photo Gallery

MetaGenRL: Improving Generalization in Meta Reinforcement Learning (ICLR 2020 Spotlight)
Improving Generalization in Meta learning via Task Augmentation
[CVPR 2024] Improving generalization via meta-learning on hard samples
Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Amy Zhang - Exploring Context for Better Generalization in Reinforcement Learning @ UCL DARK
Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level
Improving Generalization in Molecular Modelling Through Organization and Augmentation - Huaxiu Yao
Improving Generalization in Deep Reinforcement Learning via SLC Weightings
Learning to Generalize: Meta-Learning for Domain Generalization
Meta-learning of Optimizers and Update Rules
CS 182: Lecture 21: Part 1: Meta-Learning
Meta-Learning for Neural Networks: what is it?
View Detailed Profile
MetaGenRL: Improving Generalization in Meta Reinforcement Learning (ICLR 2020 Spotlight)

MetaGenRL: Improving Generalization in Meta Reinforcement Learning (ICLR 2020 Spotlight)

Meta

Improving Generalization in Meta learning via Task Augmentation

Improving Generalization in Meta learning via Task Augmentation

Improving Generalization in Meta learning via Task Augmentation

[CVPR 2024] Improving generalization via meta-learning on hard samples

[CVPR 2024] Improving generalization via meta-learning on hard samples

Authors: Nishant Jain, Arun S. Suggala and Pradeep Shenoy To appear in IEEE/CVF Conference on Computer Vision and Pattern ...

Improving Meta-Learning Generalization with Activation-Based Early-Stopping

Improving Meta-Learning Generalization with Activation-Based Early-Stopping

Short video on our paper

Amy Zhang - Exploring Context for Better Generalization in Reinforcement Learning @ UCL DARK

Amy Zhang - Exploring Context for Better Generalization in Reinforcement Learning @ UCL DARK

Invited talk by Amy Zhang (UC Berkeley and Facebook AI Research) on June 7, 2021 at UCL DARK. Abstract: The benefit of ...

Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level

Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level

(CVPR 2023) presented by Lianzhe Wang. co-authors: Lianzhe Wang · Shiji Zhou · Shanghang Zhang · Xu Chu · Heng Chang ...

Improving Generalization in Molecular Modelling Through Organization and Augmentation - Huaxiu Yao

Improving Generalization in Molecular Modelling Through Organization and Augmentation - Huaxiu Yao

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: ...

Improving Generalization in Deep Reinforcement Learning via SLC Weightings

Improving Generalization in Deep Reinforcement Learning via SLC Weightings

Improving Generalization

Learning to Generalize: Meta-Learning for Domain Generalization

Learning to Generalize: Meta-Learning for Domain Generalization

https://ojs.aaai.org/index.php/AAAI/article/view/11596.

Meta-learning of Optimizers and Update Rules

Meta-learning of Optimizers and Update Rules

Jascha Sohl-Dickstein (Google Brain) https://simons.berkeley.edu/talks/tbd-60 Frontiers of Deep

CS 182: Lecture 21: Part 1: Meta-Learning

CS 182: Lecture 21: Part 1: Meta-Learning

MetaLearning

Meta-Learning for Neural Networks: what is it?

Meta-Learning for Neural Networks: what is it?

The field of Artificial Intelligence is moving at great velocity. Despite the fact that we can now create (deep) neural networks that ...

Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)

Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)

This is a talk by Ilya Sutskever for course 6.S099: Artificial General Intelligence. He is the Co-Founder of OpenAI. This class is free ...