Yogesh Balaji

Yogesh Balaji

University of Maryland, Baltimore

H-index: 17

North America-United States

About Yogesh Balaji

Yogesh Balaji, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Maryland, Baltimore, specializes in the field of Machine Learning, Computer Vision, Artificial Intelligence.

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

Preserve your own correlation: A noise prior for video diffusion models

Meta learning in the big data regime: Applications to transfer learning and few shot learning

Meta learning for domain generalization

ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers

A comprehensive study of image classification model sensitivity to foregrounds, backgrounds, and visual attributes

Unsupervised domain adaptation using shallow and deep representations

Multi-Domain Self-Supervised Learning

Winning lottery tickets in deep generative models

Yogesh Balaji Information

University

Position

PhD student at

Citations(all)

3153

Citations(since 2020)

3084

Cited By

849

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

University of Maryland, Baltimore

Google Scholar

View Google Scholar Profile

Yogesh Balaji Skills & Research Interests

Machine Learning

Computer Vision

Artificial Intelligence

Top articles of Yogesh Balaji

Title

Journal

Author(s)

Publication Date

Preserve your own correlation: A noise prior for video diffusion models

Songwei Ge

Seungjun Nah

Guilin Liu

Tyler Poon

Andrew Tao

...

2023

Meta learning in the big data regime: Applications to transfer learning and few shot learning

Swami Sankaranarayanan

Yogesh Balaji

2023/1/1

Meta learning for domain generalization

Swami Sankaranarayanan

Yogesh Balaji

2023/1/1

ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers

arXiv preprint arXiv:2211.01324

Yogesh Balaji

Seungjun Nah

Xun Huang

Arash Vahdat

Jiaming Song

...

2022/11/2

A comprehensive study of image classification model sensitivity to foregrounds, backgrounds, and visual attributes

Mazda Moayeri

Phillip Pope

Yogesh Balaji

Soheil Feizi

2022

Unsupervised domain adaptation using shallow and deep representations

Yogesh Balaji

Hien Nguyen

Rama Chellappa

2022/1/1

Multi-Domain Self-Supervised Learning

Neha Mukund Kalibhat

Yogesh Balaji

C Bayan Bruss

Soheil Feizi

2021/10/6

Winning lottery tickets in deep generative models

Proceedings of the AAAI Conference on Artificial Intelligence

Neha Mukund Kalibhat

Yogesh Balaji

Soheil Feizi

2021/5/18

Understanding overparameterization in generative adversarial networks

arXiv preprint arXiv:2104.05605

Yogesh Balaji

Mohammadmahdi Sajedi

Neha Mukund Kalibhat

Mucong Ding

Dominik Stöger

...

2021/4/12

Recommended articles

Journal of Systems and Software

Manuel De Stefano

Andrea De Lucia

Américo Rio

Fernando Brito e Abreu

2022

Unsupervised anomaly detection with adversarial mirrored autoencoders

Gowthami Somepalli

Yexin Wu

Yogesh Balaji

Bhanukiran Vinzamuri

Soheil Feizi

2021

Robust learning under distributional shifts

Yogesh Balaji

2021

Multi-scale text filter conditioned generative adversarial networks

2021/11/9

Curriculum manager for source selection in multi-source domain adaptation

Luyu Yang

Yogesh Balaji

Ser-Nam Lim

Abhinav Shrivastava

2020

The effectiveness of memory replay in large scale continual learning

arXiv preprint arXiv:2010.02418

Yogesh Balaji

Mehrdad Farajtabar

Dong Yin

Alex Mott

Ang Li

2020/10/6

Analyzing Attention Mechanisms through Lens of Sample Complexity and Loss Landscape

Bingyuan Liu

Yogesh Balaji

Lingzhou Xue

Martin Renqiang Min

2020/10/2

Adversarial robustness of flow-based generative models

Phillip Pope

Yogesh Balaji

Soheil Feizi

2020/6/3

Robust optimal transport with applications in generative modeling and domain adaptation

Advances in Neural Information Processing Systems

Yogesh Balaji

Rama Chellappa

Soheil Feizi

2020

Learning to balance specificity and invariance for in and out of domain generalization

Prithvijit Chattopadhyay

Yogesh Balaji

Judy Hoffman

2020

See List of Professors in Yogesh Balaji University(University of Maryland, Baltimore)

Co-Authors

H-index: 143
Ramalingam Chellappa

Ramalingam Chellappa

Johns Hopkins University

H-index: 63
Tom Goldstein

Tom Goldstein

University of Maryland, Baltimore

H-index: 44
Judy Hoffman

Judy Hoffman

Georgia Institute of Technology

H-index: 44
A N Rajagopalan

A N Rajagopalan

Indian Institute of Technology Madras

H-index: 43
Hamed Hassani

Hamed Hassani

University of Pennsylvania

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