Kurt Keutzer

Kurt Keutzer

University of California, Berkeley

H-index: 101

North America-United States

About Kurt Keutzer

Kurt Keutzer, With an exceptional h-index of 101 and a recent h-index of 63 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of artificial intelligence systems, deep learning, efficient computation.

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

A Dataset and Benchmark for Copyright Protection from Text-to-Image Diffusion Models

Large language models are visual reasoning coordinators

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Multitask vision-language prompt tuning

Towards foundation models for scientific machine learning: Characterizing scaling and transfer behavior

Q-slam: Quadric representations for monocular slam

Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning

KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Kurt Keutzer Information

University

Position

Professor of the Graduate School EECS

Citations(all)

51369

Citations(since 2020)

28745

Cited By

29682

hIndex(all)

101

hIndex(since 2020)

63

i10Index(all)

295

i10Index(since 2020)

151

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Kurt Keutzer Skills & Research Interests

artificial intelligence systems

deep learning

efficient computation

Top articles of Kurt Keutzer

Title

Journal

Author(s)

Publication Date

A Dataset and Benchmark for Copyright Protection from Text-to-Image Diffusion Models

arXiv preprint arXiv:2403.12052

Rui Ma

Qiang Zhou

Bangjun Xiao

Yizhu Jin

Daquan Zhou

...

2024/1/4

Large language models are visual reasoning coordinators

Advances in Neural Information Processing Systems

Liangyu Chen

Bo Li

Sheng Shen

Jingkang Yang

Chunyuan Li

...

2024/2/13

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

arXiv preprint arXiv:2403.15042

Nicholas Lee

Thanakul Wattanawong

Sehoon Kim

Karttikeya Mangalam

Sheng Shen

...

2024/3/22

Multitask vision-language prompt tuning

WACV 2024

Sheng Shen*

Shijia Yang*

Tianjun Zhang*

Bohan Zhai

Joseph E Gonzalez

...

2022/11/21

Towards foundation models for scientific machine learning: Characterizing scaling and transfer behavior

Advances in Neural Information Processing Systems

Shashank Subramanian

Peter Harrington

Kurt Keutzer

Wahid Bhimji

Dmitriy Morozov

...

2024/2/13

Q-slam: Quadric representations for monocular slam

arXiv preprint arXiv:2403.08125

Chensheng Peng

Chenfeng Xu

Yue Wang

Mingyu Ding

Heng Yang

...

2024/3/12

Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning

arXiv preprint arXiv:2404.08985

Yijiang Liu

Rongyu Zhang

Huanrui Yang

Kurt Keutzer

Yuan Du

...

2024/4/13

KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

arXiv preprint arXiv:2401.18079

Coleman Hooper

Sehoon Kim

Hiva Mohammadzadeh

Michael W Mahoney

Yakun Sophia Shao

...

2024/1/31

LLM Inference Unveiled: Survey and Roofline Model Insights

arXiv preprint arXiv:2402.16363

Zhihang Yuan

Yuzhang Shang

Yang Zhou

Zhen Dong

Chenhao Xue

...

2024/2/26

LLoCO: Learning Long Contexts Offline

arXiv preprint arXiv:2404.07979

Sijun Tan

Xiuyu Li

Shishir Patil

Ziyang Wu

Tianjun Zhang

...

2024/4/11

Learned Best-Effort LLM Serving

arXiv preprint arXiv:2401.07886

Siddharth Jha

Coleman Hooper

Xiaoxuan Liu

Sehoon Kim

Kurt Keutzer

2024/1/15

Magic-Me: Identity-Specific Video Customized Diffusion

arXiv preprint arXiv:2402.09368

Ze Ma

Daquan Zhou

Chun-Hsiao Yeh

Xue-She Wang

Xiuyu Li

...

2024/2/14

Ai and memory wall

IEEE Micro

Amir Gholami

Zhewei Yao

Sehoon Kim

Coleman Hooper

Michael W Mahoney

...

2024/3/25

VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness

arXiv preprint arXiv:2401.07853

Rongyu Zhang

Zefan Cai

Huanrui Yang

Zidong Liu

Denis Gudovskiy

...

2024/1/15

Speculative decoding with big little decoder

Advances in Neural Information Processing Systems

Sehoon Kim

Karttikeya Mangalam

Suhong Moon

Jitendra Malik

Michael W Mahoney

...

2024/2/13

Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation

Proceedings of the AAAI Conference on Artificial Intelligence

Rongyu Zhang

Yulin Luo

Jiaming Liu

Huanrui Yang

Zhen Dong

...

2024/3/24

Scaling vision-language models with sparse mixture of experts

EMNLP 2023 Findings

Sheng Shen

Zhewei Yao

Chunyuan Li

Trevor Darrell

Kurt Keutzer

...

2023/3/13

Treating Models Better for Language-agnostic Understanding

Brian Yu

Kurt Keutzer

John DeNero

2023/5/12

SANA: Sensitivity-Aware Neural Architecture Adaptation for Uniform Quantization

Applied Sciences

Mingfei Guo

Zhen Dong

Kurt Keutzer

2023/9/15

Sparse Refinement for Efficient High-Resolution Semantic Segmentation

Zhijian Liu

Zhuoyang Zhang

Shang Yang

Haotian Tang

Chenfeng Xu

...

2023/10/13

See List of Professors in Kurt Keutzer University(University of California, Berkeley)

Co-Authors

H-index: 161
Trevor Darrell

Trevor Darrell

University of California, Berkeley

H-index: 128
Alberto Sangiovanni Vincentelli

Alberto Sangiovanni Vincentelli

University of California, Berkeley

H-index: 107
Srinivas Devadas

Srinivas Devadas

Massachusetts Institute of Technology

H-index: 94
James W DEMMEL

James W DEMMEL

University of California, Berkeley

H-index: 75
Krste Asanovic

Krste Asanovic

University of California, Berkeley

H-index: 75
Michael Mahoney

Michael Mahoney

University of California, Berkeley

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