Ludwig Schmidt

Ludwig Schmidt

University of Washington

H-index: 45

North America-United States

Contact Ludwig Schmidt

About Ludwig Schmidt

Ludwig Schmidt, With an exceptional h-index of 45 and a recent h-index of 41 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Machine Learning, Optimization, Algorithms, Statistics.

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

Do CLIPs Always Generalize Better than ImageNet Models?

Language models scale reliably with over-training and on downstream tasks

Benchmarking Distribution Shift in Tabular Data with TableShift

VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models

Characterizing the Impacts of Semi-supervised Learning for Weak Supervision

GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

Data Filtering Networks

Openflamingo: An open-source framework for training large autoregressive vision-language models

Ludwig Schmidt Information

University	University of Washington
Position	Toyota Research and
Citations(all)	21880
Citations(since 2020)	20630
Cited By	5930
hIndex(all)	45
hIndex(since 2020)	41
i10Index(all)	66
i10Index(since 2020)	60
Email	Access Email
University Profile Page	University of Washington
Google Scholar	View Google Scholar Profile

Ludwig Schmidt Skills & Research Interests

Machine Learning

Optimization

Algorithms

Statistics

Top articles of Ludwig Schmidt

Do CLIPs Always Generalize Better than ImageNet Models?

arXiv preprint arXiv:2403.11497

2024/3/18

Qizhou Wang

H-Index: 0

Yong Lin

H-Index: 12

Yongqiang Chen

H-Index: 13

Ludwig Schmidt

H-Index: 24

Bo Han

H-Index: 3

Tong Zhang

H-Index: 20

Language models scale reliably with over-training and on downstream tasks

arXiv preprint arXiv:2403.08540

2024/3/13

Samir Yitzhak Gadre

H-Index: 2

Suchin Gururangan

H-Index: 7

Mitchell Wortsman

H-Index: 5

Rulin Shao

H-Index: 1

Jeffrey Li

H-Index: 1

Igor Vasiljevic

H-Index: 2

Shuran Song

H-Index: 24

Thomas Kollar

H-Index: 22

Yair Carmon

H-Index: 12

Achal Dave

H-Index: 6

Ludwig Schmidt

H-Index: 24

Benchmarking Distribution Shift in Tabular Data with TableShift

Advances in Neural Information Processing Systems

2024/2/13

Josh Gardner

H-Index: 9

Zoran Popovic

H-Index: 44

Ludwig Schmidt

H-Index: 24

VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models

Advances in Neural Information Processing Systems

2024/2/13

Hritik Bansal

H-Index: 2

Rulin Shao

H-Index: 1

Wanrong Zhu

H-Index: 3

Josh Gardner

H-Index: 9

Rohan Taori

H-Index: 2

Ludwig Schmidt

H-Index: 24

Characterizing the Impacts of Semi-supervised Learning for Weak Supervision

Advances in Neural Information Processing Systems

2024/2/13

Jeffrey Li

H-Index: 1

Jieyu Zhang

H-Index: 4

Ludwig Schmidt

H-Index: 24

GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

arXiv preprint arXiv:2310.11513

2023/10/17

Ludwig Schmidt

H-Index: 24

Data Filtering Networks

arXiv preprint arXiv:2309.17425

2023/9/29

Amit Jain

H-Index: 6

Ludwig Schmidt

H-Index: 24

Openflamingo: An open-source framework for training large autoregressive vision-language models

arXiv preprint arXiv:2308.01390

2023/8/2

Josh Gardner

H-Index: 9

Wanrong Zhu

H-Index: 3

Shiori Sagawa

H-Index: 9

Pang Wei Koh

H-Index: 17

Mitchell Wortsman

H-Index: 5

Ludwig Schmidt

H-Index: 24

On the Connection between Pre-training Data Diversity and Fine-tuning Robustness

Advances in Neural Information Processing Systems

2024/2/13

Vivek Ramanujan

H-Index: 4

Thao Nguyen

H-Index: 1

Sewoong Oh

H-Index: 32

Ali Farhadi

H-Index: 5

Ludwig Schmidt

H-Index: 24

Improving Multimodal Datasets with Image Captioning

Advances in Neural Information Processing Systems

2024/2/13

Thao Nguyen

H-Index: 1

Samir Yitzhak Gadre

H-Index: 2

Sewoong Oh

H-Index: 32

Ludwig Schmidt

H-Index: 24

Objaverse-XL: A Universe of 10M+ 3D Objects

NeurIPS Datasets & Benchmarks 2023

2023/7/11

Ruoshi Liu

H-Index: 1

Matthew Wallingford

H-Index: 2

Aditya Kusupati

H-Index: 5

Vikram Voleti

H-Index: 3

Samir Yitzhak Gadre

H-Index: 2

Carl Vondrick

H-Index: 24

Georgia Gkioxari

H-Index: 23

Ludwig Schmidt

H-Index: 24

Ali Farhadi

H-Index: 5

Are aligned neural networks adversarially aligned?

Advances in Neural Information Processing Systems

2024/2/13

Milad Nasr

H-Index: 8

Matthew Jagielski

H-Index: 10

Ludwig Schmidt

H-Index: 24

Neural Priming for Sample-Efficient Adaptation

Advances in Neural Information Processing Systems

2024/2/13

Matthew Wallingford

H-Index: 2

Vivek Ramanujan

H-Index: 4

Aditya Kusupati

H-Index: 5

Ludwig Schmidt

H-Index: 24

Ali Farhadi

H-Index: 5

Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections

2023/6/13

Esteban Safranchik

H-Index: 1

Arinbjörn Kolbeinsson

H-Index: 4

Ludwig Schmidt

H-Index: 24

Tim Althoff

H-Index: 16

Stable and low-precision training for large-scale vision-language models

Advances in Neural Information Processing Systems

2023/12/15

Mitchell Wortsman

H-Index: 5

Luke Zettlemoyer

H-Index: 60

Ali Farhadi

H-Index: 5

Ludwig Schmidt

H-Index: 24

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text

Advances in Neural Information Processing Systems

2024/2/13

Wanrong Zhu

H-Index: 3

Samir Yitzhak Gadre

H-Index: 2

Jesse Dodge

H-Index: 12

Youngjae Yu

H-Index: 8

Ludwig Schmidt

H-Index: 24

William Yang Wang

H-Index: 32

Yejin Choi

H-Index: 53

DataComp: In search of the next generation of multimodal datasets

Advances in Neural Information Processing Systems

2024/2/13

Samir Yitzhak Gadre

H-Index: 2

Thao Nguyen

H-Index: 1

Mitchell Wortsman

H-Index: 5

Jieyu Zhang

H-Index: 4

Rahim Entezari

H-Index: 2

Vivek Ramanujan

H-Index: 4

Stephen Mussmann

H-Index: 7

Ranjay Krishna

H-Index: 19

Olga Saukh

H-Index: 13

Shuran Song

H-Index: 24

Hannaneh Hajishirzi

H-Index: 32

Ali Farhadi

H-Index: 5

Sewoong Oh

H-Index: 32

Yair Carmon

H-Index: 12

Ludwig Schmidt

H-Index: 24

The Role of Pre-training Data in Transfer Learning

arXiv preprint arXiv:2302.13602

2023/2/27

Rahim Entezari

H-Index: 2

Mitchell Wortsman

H-Index: 5

Olga Saukh

H-Index: 13

Ludwig Schmidt

H-Index: 24

Effective Robustness against Natural Distribution Shifts for Models with Different Training Data

Advances in Neural Information Processing Systems

2024/2/13

Zhouxing Shi

H-Index: 3

Ananth Balashankar

H-Index: 5

Ludwig Schmidt

H-Index: 24

Cho-Jui Hsieh

H-Index: 46

Yao Qin

H-Index: 3

Does progress on ImageNet transfer to real-world datasets?

arXiv preprint arXiv:2301.04644

2023/1/11

Ludwig Schmidt

H-Index: 24

See List of Professors in Ludwig Schmidt University(University of Washington)

Co-Authors

H-index: 85

Piotr Indyk — Piotr Indyk
Massachusetts Institute of Technology

Visit Piotr Indyk Page

H-index: 85

Benjamin Recht — Benjamin Recht
University of California, Berkeley

Visit Benjamin Recht Page

H-index: 80

Ali Farhadi — Ali Farhadi
University of Washington

Visit Ali Farhadi Page

H-index: 63

Hannaneh Hajishirzi — Hannaneh Hajishirzi
University of Washington

Visit Hannaneh Hajishirzi Page

H-index: 50

Moritz Hardt — Moritz Hardt
University of California, Berkeley

Visit Moritz Hardt Page

H-index: 44

Aleksander Mądry — Aleksander Mądry
Massachusetts Institute of Technology

Visit Aleksander Mądry Page

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