Kumar Krishna Agrawal

About Kumar Krishna Agrawal

Kumar Krishna Agrawal, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of artificial intelligence, computer vision, distributed systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Addressing Sample Inefficiency in Multi-View Representation Learning

On the Information Geometry of Vision Transformers

On the Varied Faces of Overparameterization in Supervised and Self-Supervised Learning

Attribute Diversity Determines the Systematicity Gap in VQA

-ReQ: Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay

Context-aware streaming perception in dynamic environments

Investigating power laws in deep representation learning

Learning from an exploring demonstrator: Optimal reward estimation for bandits

Kumar Krishna Agrawal Information

University

Position

___

Citations(all)

923

Citations(since 2020)

915

Cited By

294

hIndex(all)

8

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Kumar Krishna Agrawal Skills & Research Interests

artificial intelligence

computer vision

distributed systems

Top articles of Kumar Krishna Agrawal

Addressing Sample Inefficiency in Multi-View Representation Learning

arXiv preprint arXiv:2312.10725

2023/12/17

Kumar Krishna Agrawal
Kumar Krishna Agrawal

H-Index: 4

Arna Ghosh
Arna Ghosh

H-Index: 4

Blake Richards
Blake Richards

H-Index: 18

On the Information Geometry of Vision Transformers

2023/11/29

Kumar Krishna Agrawal
Kumar Krishna Agrawal

H-Index: 4

Arna Ghosh
Arna Ghosh

H-Index: 4

On the Varied Faces of Overparameterization in Supervised and Self-Supervised Learning

2023/11/29

Attribute Diversity Determines the Systematicity Gap in VQA

arXiv preprint arXiv:2311.08695

2023/11/15

Kumar Krishna Agrawal
Kumar Krishna Agrawal

H-Index: 4

Yash Sharma
Yash Sharma

H-Index: 1

-ReQ: Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay

2022/12/3

Investigating power laws in deep representation learning

arXiv preprint arXiv:2202.05808

2022/2/11

Learning from an exploring demonstrator: Optimal reward estimation for bandits

Proceedings of The 25nd International Conference on Artificial Intelligence and Statistics

2021/6/28

See List of Professors in Kumar Krishna Agrawal University(University of California, Berkeley)

Co-Authors

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