Aditya Kusupati

Aditya Kusupati

University of Washington

H-index: 12

North America-United States

About Aditya Kusupati

Aditya Kusupati, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Machine Learning, Computer Vision.

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

Gecko: Versatile text embeddings distilled from large language models

AdANNS: A Framework for Adaptive Semantic Search

EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval

FLUID: A Unified Evaluation Framework for Flexible Sequential Data.

MatFormer: Nested Transformer for Elastic Inference

Neural Radiance Field Codebooks

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Are "Hierarchical" Visual Representations Hierarchical?

Aditya Kusupati Information

University

Position

___

Citations(all)

825

Citations(since 2020)

815

Cited By

145

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

University of Washington

Google Scholar

View Google Scholar Profile

Aditya Kusupati Skills & Research Interests

Machine Learning

Computer Vision

Top articles of Aditya Kusupati

Title

Journal

Author(s)

Publication Date

Gecko: Versatile text embeddings distilled from large language models

arXiv preprint arXiv:2403.20327

Jinhyuk Lee

Zhuyun Dai

Xiaoqi Ren

Blair Chen

Daniel Cer

...

2024/3/29

AdANNS: A Framework for Adaptive Semantic Search

NeurIPS 2023

Aniket Rege*

Aditya Kusupati*

Sharan Ranjit

Alan Fan

Qingqing Cao

...

2023/2

EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval

arXiv preprint arXiv:2310.08891

Ramnath Kumar

Anshul Mittal

Nilesh Gupta

Aditya Kusupati

Inderjit Dhillon

...

2023/10/13

FLUID: A Unified Evaluation Framework for Flexible Sequential Data.

TMLR 2023

Matthew Wallingford

Aditya Kusupati

Keivan Alizadeh-Vahid

Aaron Walsman

Aniruddha Kembhavi

...

2023/2

MatFormer: Nested Transformer for Elastic Inference

arXiv preprint arXiv:2310.07707

Devvrit*

Sneha Kudugunta*

Aditya Kusupati*

Tim Dettmers

Kaifeng Chen

...

2023/10/11

Neural Radiance Field Codebooks

Matthew Wallingford

Aditya Kusupati

Alex Fang

Vivek Ramanujan

Aniruddha Kembhavi

...

2023/1/10

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

NeurIPS Datasets & Benchmarks 2023

Sneha Kudugunta

Isaac Caswell

Biao Zhang

Xavier Garcia

Christopher A Choquette-Choo

...

2023/9/9

Are "Hierarchical" Visual Representations Hierarchical?

arXiv preprint arXiv:2311.05784

Ethan Shen

Ali Farhadi

Aditya Kusupati

2023/11/9

Objaverse-xl: A universe of 10m+ 3d objects

NeurIPS Datasets & Benchmarks 2023

Matt Deitke

Ruoshi Liu

Matthew Wallingford

Huong Ngo

Oscar Michel

...

2023/7/11

Neural Priming for Sample-Efficient Adaptation

Advances in Neural Information Processing Systems

Matthew Wallingford

Vivek Ramanujan

Alex Fang

Aditya Kusupati

Roozbeh Mottaghi

...

2024/2/13

SHARCS: Efficient transformers through routing with dynamic width sub-networks

EMNLP Findings 2023

Mohammadreza Salehi

Sachin Mehta

Aditya Kusupati

Ali Farhadi

Hanna Hajishirzi

2023/10/18

ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard of Hearing Users

Dhruv Jain

Khoa Huynh Anh Nguyen

Steven Goodman

Rachel Grossman-Kahn

Hung Ngo

...

2022

Matryoshka Representation Learning

Aditya Kusupati

Gantavya Bhatt

Aniket Rege

Matthew Wallingford

Aditya Sinha

...

2022/12

MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound

Rowan Zellers

Jiasen Lu

Ximing Lu

Youngjae Yu

Yanpeng Zhao

...

2022

LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes

Aditya Kusupati

Matthew Wallingford

Vivek Ramanujan

Raghav Somani

Jae Sung Park

...

2021/12

Disrupting Model Training with Adversarial Shortcuts

Ivan Evtimov

Ian Covert

Aditya Kusupati

Tadayoshi Kohno

2021/6/12

Extreme Regression for Dynamic Search Advertising

Yashoteja Prabhu

Aditya Kusupati

Nilesh Gupta

Manik Varma

2020

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference

Oindrila Saha

Aditya Kusupati

Harsha Vardhan Simhadri

Manik Varma

Prateek Jain

2020/12

Soft Threshold Weight Reparameterization for Learnable Sparsity

Aditya Kusupati

Vivek Ramanujan

Raghav Somani

Mitchell Wortsman

Prateek Jain

...

2020/7

See List of Professors in Aditya Kusupati University(University of Washington)

Co-Authors

H-index: 95
Yejin Choi

Yejin Choi

University of Washington

H-index: 90
Sham M Kakade

Sham M Kakade

University of Washington

H-index: 80
Ali Farhadi

Ali Farhadi

University of Washington

H-index: 45
Ludwig Schmidt

Ludwig Schmidt

University of Washington

H-index: 20
Rowan Zellers

Rowan Zellers

University of Washington

H-index: 19
Mitchell Wortsman

Mitchell Wortsman

University of Washington

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