Media Summary: Speaker: Guoqing Zheng, Senior Researcher, Microsoft Abstract: Language transformers have shown remarkable performance on natural language understanding tasks. However, these ... Recording of the online 2nd Visual Inductive Priors for

Research Talk Towards Data Efficient - Detailed Analysis & Overview

Speaker: Guoqing Zheng, Senior Researcher, Microsoft Abstract: Language transformers have shown remarkable performance on natural language understanding tasks. However, these ... Recording of the online 2nd Visual Inductive Priors for Tatsunori Hashimoto from Stanford University visited the Kempner Seminar Series on October 3, 2025, to discuss "Back to the ... IEEESchenectady IEEE CIS & CS Schenectady Chapters Technical Lecture on " Yang Gao, an AI researcher with affiliations at Berkeley and Tsinghua University, joined the podcast to

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Research talk: Towards data-efficient machine learning with meta-learning
Yu Cheng: Towards data efficient vision-language (VL) models
ICCV 2021 Workshop - 2nd Visual Inductive Priors for Data-Efficient Deep Learning Workshop
Efficient Machine Learning at the Edge in Parallel
Back to the Future – Data Efficient Language Modeling with Tatsunori Hashimoto
Towards Data-Efficient, Trustworthy & Generalizable Neural Symbolic AI Models | Dr. Qiang Ji
MedAI #138:  Towards Efficient AI for Biomedical Imaging | Md Mostafijur Rahman
A Highly Data-Efficient Deep Learning Approach
Yang Gao - Sample-efficient AI
The 10 Habits of Highly Effective Research Data
[REFAI Seminar 03/29/22] Towards Effective and Efficient Interpretation of Deep Neural Networks
Autonomy Talks - Navid Azizan: Towards Reliable and Efficient AI-Enabled Autonomy
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Research talk: Towards data-efficient machine learning with meta-learning

Research talk: Towards data-efficient machine learning with meta-learning

Speaker: Guoqing Zheng, Senior Researcher, Microsoft

Yu Cheng: Towards data efficient vision-language (VL) models

Yu Cheng: Towards data efficient vision-language (VL) models

Abstract: Language transformers have shown remarkable performance on natural language understanding tasks. However, these ...

ICCV 2021 Workshop - 2nd Visual Inductive Priors for Data-Efficient Deep Learning Workshop

ICCV 2021 Workshop - 2nd Visual Inductive Priors for Data-Efficient Deep Learning Workshop

Recording of the online 2nd Visual Inductive Priors for

Efficient Machine Learning at the Edge in Parallel

Efficient Machine Learning at the Edge in Parallel

2022

Back to the Future – Data Efficient Language Modeling with Tatsunori Hashimoto

Back to the Future – Data Efficient Language Modeling with Tatsunori Hashimoto

Tatsunori Hashimoto from Stanford University visited the Kempner Seminar Series on October 3, 2025, to discuss "Back to the ...

Towards Data-Efficient, Trustworthy & Generalizable Neural Symbolic AI Models | Dr. Qiang Ji

Towards Data-Efficient, Trustworthy & Generalizable Neural Symbolic AI Models | Dr. Qiang Ji

IEEESchenectady IEEE CIS & CS Schenectady Chapters Technical Lecture on "

MedAI #138:  Towards Efficient AI for Biomedical Imaging | Md Mostafijur Rahman

MedAI #138: Towards Efficient AI for Biomedical Imaging | Md Mostafijur Rahman

Title:

A Highly Data-Efficient Deep Learning Approach

A Highly Data-Efficient Deep Learning Approach

This

Yang Gao - Sample-efficient AI

Yang Gao - Sample-efficient AI

Yang Gao, an AI researcher with affiliations at Berkeley and Tsinghua University, joined the podcast to

The 10 Habits of Highly Effective Research Data

The 10 Habits of Highly Effective Research Data

5th Annual Wolfram

[REFAI Seminar 03/29/22] Towards Effective and Efficient Interpretation of Deep Neural Networks

[REFAI Seminar 03/29/22] Towards Effective and Efficient Interpretation of Deep Neural Networks

03/29/22 Prof. Xia Hu, Rice University "

Autonomy Talks - Navid Azizan: Towards Reliable and Efficient AI-Enabled Autonomy

Autonomy Talks - Navid Azizan: Towards Reliable and Efficient AI-Enabled Autonomy

Autonomy

Emma Brunskill (Stanford University): "Efficient Reinforcement Learning When Data is Costly"

Emma Brunskill (Stanford University): "Efficient Reinforcement Learning When Data is Costly"

May 30, 2019.