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Ankush Garg

Ankush Garg

University of California, Davis

H-index: 13

North America-United States

Contact Ankush Garg

About Ankush Garg

Ankush Garg, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at University of California, Davis,

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

Binarized Neural Machine Translation

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning

Gemini: a family of highly capable multimodal models

The devil is in the errors: Leveraging large language models for fine-grained machine translation evaluation

Benchmarking neural network training algorithms

Federated Learning with Partially Trainable Networks

Average sampling expansions from regular and irregular samples over shift-invariant subspaces on LCA groups

Do current multi-task optimization methods in deep learning even help?

Ankush Garg Information

University

Position

IIT Delhi

Citations(all)

538

Citations(since 2020)

325

Cited By

293

hIndex(all)

13

hIndex(since 2020)

11

i10Index(all)

14

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Top articles of Ankush Garg

Binarized Neural Machine Translation

Advances in Neural Information Processing Systems

2024/2/13

Yichi Zhang
Yichi Zhang

H-Index: 2

Ankush Garg
Ankush Garg

H-Index: 6

Yuan Cao
Yuan Cao

H-Index: 3

Zhiru Zhang
Zhiru Zhang

H-Index: 21

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning

Advances in Neural Information Processing Systems

2024/2/13

Dami Choi
Dami Choi

H-Index: 6

Justin Gilmer
Justin Gilmer

H-Index: 5

Ankush Garg
Ankush Garg

H-Index: 6

Chih-Kuan Yeh
Chih-Kuan Yeh

H-Index: 8

Gemini: a family of highly capable multimodal models

arXiv preprint arXiv:2312.11805

2023/12/19

Yonghui Wu
Yonghui Wu

H-Index: 22

Jiahui Yu
Jiahui Yu

H-Index: 2

Benjamin Lee
Benjamin Lee

H-Index: 8

Fabio Viola
Fabio Viola

H-Index: 25

Lucas Gonzalez
Lucas Gonzalez

H-Index: 9

Charlotte Smith
Charlotte Smith

H-Index: 6

Yi Luan
Yi Luan

H-Index: 3

Xi Chen
Xi Chen

H-Index: 13

Natalie Clay
Natalie Clay

H-Index: 12

Jeffrey Zhao
Jeffrey Zhao

H-Index: 4

Dian Yu
Dian Yu

H-Index: 2

Heidi Howard
Heidi Howard

H-Index: 6

Han Lu
Han Lu

H-Index: 2

Megan Barnes
Megan Barnes

H-Index: 1

William Wong
William Wong

H-Index: 3

Rishabh Joshi
Rishabh Joshi

H-Index: 4

Ruibo Liu
Ruibo Liu

H-Index: 3

Chao Jia
Chao Jia

H-Index: 4

Chenjie Gu
Chenjie Gu

H-Index: 10

Qiao Zhang
Qiao Zhang

H-Index: 7

Martin Chadwick
Martin Chadwick

H-Index: 2

Thanumalayan Sankaranarayana Pillai
Thanumalayan Sankaranarayana Pillai

H-Index: 7

Clara Rivera
Clara Rivera

H-Index: 3

Shariq Iqbal
Shariq Iqbal

H-Index: 4

Gabriela Surita
Gabriela Surita

H-Index: 1

Emilio Parisotto
Emilio Parisotto

H-Index: 11

Elliot Catt
Elliot Catt

H-Index: 3

Pidong Wang
Pidong Wang

H-Index: 6

Albert Webson
Albert Webson

H-Index: 0

Smit Sanghavi
Smit Sanghavi

H-Index: 0

Ming-Wei Chang
Ming-Wei Chang

H-Index: 27

Yuting Sun
Yuting Sun

H-Index: 3

Matthew Aitchison
Matthew Aitchison

H-Index: 1

Tianhe Yu
Tianhe Yu

H-Index: 10

Cindy Wang
Cindy Wang

H-Index: 2

The devil is in the errors: Leveraging large language models for fine-grained machine translation evaluation

arXiv preprint arXiv:2308.07286

2023/8/14

Patrick Fernandes
Patrick Fernandes

H-Index: 1

Daniel Deutsch
Daniel Deutsch

H-Index: 2

Parker Riley
Parker Riley

H-Index: 3

Graham Neubig
Graham Neubig

H-Index: 46

Ankush Garg
Ankush Garg

H-Index: 6

Markus Freitag
Markus Freitag

H-Index: 28

Benchmarking neural network training algorithms

arXiv preprint arXiv:2306.07179

2023/6/12

Chandramouli Shama Sastry
Chandramouli Shama Sastry

H-Index: 3

Juhan Bae
Juhan Bae

H-Index: 2

Justin Gilmer
Justin Gilmer

H-Index: 5

Bilal Khan
Bilal Khan

H-Index: 2

Shankar Krishnan
Shankar Krishnan

H-Index: 4

Kongtao Chen
Kongtao Chen

H-Index: 4

Ankush Garg
Ankush Garg

H-Index: 6

Federated Learning with Partially Trainable Networks

2023/7/6

Average sampling expansions from regular and irregular samples over shift-invariant subspaces on LCA groups

Banach Journal of Mathematical Analysis

2023/1

Do current multi-task optimization methods in deep learning even help?

Advances in neural information processing systems

2022/12/6

Justin Gilmer
Justin Gilmer

H-Index: 5

Ankush Garg
Ankush Garg

H-Index: 6

Data scaling laws in NMT: The effect of noise and architecture

2022/6/28

Yamini Bansal
Yamini Bansal

H-Index: 3

Ankush Garg
Ankush Garg

H-Index: 6

Biao Zhang
Biao Zhang

H-Index: 27

A loss curvature perspective on training instabilities of deep learning models

2021/10/6

Justin Gilmer
Justin Gilmer

H-Index: 5

Ankush Garg
Ankush Garg

H-Index: 6

Echo state speech recognition

2021/6/6

Harsh Shrivastava
Harsh Shrivastava

H-Index: 4

Ankush Garg
Ankush Garg

H-Index: 6

Yuan Cao
Yuan Cao

H-Index: 3

Yu Zhang
Yu Zhang

H-Index: 13

Efficient and Private Federated Learning with Partially Trainable Networks

New Frontiers in Federated Learning, NeurIPS

2021/10/6

Zheng Xu
Zheng Xu

H-Index: 6

Ankush Garg
Ankush Garg

H-Index: 6

Yuan Cao
Yuan Cao

H-Index: 3

The geometry of integration in text classification RNNs

arXiv preprint arXiv:2010.15114

2020/10/28

Kyle Aitken
Kyle Aitken

H-Index: 9

Ankush Garg
Ankush Garg

H-Index: 6

Yuan Cao
Yuan Cao

H-Index: 3

David Sussillo
David Sussillo

H-Index: 24

Echo state neural machine translation

arXiv preprint arXiv:2002.11847

2020/2/27

Ankush Garg
Ankush Garg

H-Index: 6

Yuan Cao
Yuan Cao

H-Index: 3

Qi Ge
Qi Ge

H-Index: 5

See List of Professors in Ankush Garg University(University of California, Davis)