Gabriel Ilharco

Gabriel Ilharco

University of Washington

H-index: 24

North America-United States

About Gabriel Ilharco

Gabriel Ilharco, With an exceptional h-index of 24 and a recent h-index of 24 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Natural Language Processing, Computer Vision, Artificial Intelligence.

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

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

Improving multimodal datasets with image captioning

Datacomp: In search of the next generation of multimodal datasets

Adaptive testing of computer vision models

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

TaskWeb: Selecting Better Source Tasks for Multi-task NLP

CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation

Reproducible scaling laws for contrastive language-image learning

Gabriel Ilharco Information

University

Position

___

Citations(all)

3350

Citations(since 2020)

3348

Cited By

304

hIndex(all)

24

hIndex(since 2020)

24

i10Index(all)

27

i10Index(since 2020)

27

Email

University Profile Page

University of Washington

Google Scholar

View Google Scholar Profile

Gabriel Ilharco Skills & Research Interests

Natural Language Processing

Computer Vision

Artificial Intelligence

Top articles of Gabriel Ilharco

Title

Journal

Author(s)

Publication Date

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

arXiv preprint arXiv:2403.08540

Samir Yitzhak Gadre

Georgios Smyrnis

Vaishaal Shankar

Suchin Gururangan

Mitchell Wortsman

...

2024/3/13

Improving multimodal datasets with image captioning

Advances in Neural Information Processing Systems

Thao Nguyen

Samir Yitzhak Gadre

Gabriel Ilharco

Sewoong Oh

Ludwig Schmidt

2024/2/13

Datacomp: In search of the next generation of multimodal datasets

Advances in Neural Information Processing Systems

Samir Yitzhak Gadre

Gabriel Ilharco

Alex Fang

Jonathan Hayase

Georgios Smyrnis

...

2024/2/13

Adaptive testing of computer vision models

Irena Gao

Gabriel Ilharco

Scott Lundberg

Marco Tulio Ribeiro

2023

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

arXiv preprint arXiv:2308.01390

Anas Awadalla

Irena Gao

Josh Gardner

Jack Hessel

Yusuf Hanafy

...

2023/8/2

TaskWeb: Selecting Better Source Tasks for Multi-task NLP

arXiv preprint arXiv:2305.13256

Joongwon Kim

Akari Asai

Gabriel Ilharco

Hannaneh Hajishirzi

2023/5/22

CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation

arXiv preprint arXiv:2203.10421

Samir Yitzhak Gadre

Mitchell Wortsman

Gabriel Ilharco

Ludwig Schmidt

Shuran Song

2022/3/20

Reproducible scaling laws for contrastive language-image learning

Mehdi Cherti

Romain Beaumont

Ross Wightman

Mitchell Wortsman

Gabriel Ilharco

...

2023

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Mitchell Wortsman

Gabriel Ilharco

Samir Ya Gadre

Rebecca Roelofs

Raphael Gontijo-Lopes

...

2022/6/28

Editing Models with Task Arithmetic

arXiv preprint arXiv:2212.04089

Gabriel Ilharco

Marco Tulio Ribeiro

Mitchell Wortsman

Suchin Gururangan

Ludwig Schmidt

...

2022/12/8

Quality not quantity: On the interaction between dataset design and robustness of clip

Advances in Neural Information Processing Systems

Thao Nguyen

Gabriel Ilharco

Mitchell Wortsman

Sewoong Oh

Ludwig Schmidt

2022/12/6

Robust fine-tuning of zero-shot models

Mitchell Wortsman*

Gabriel Ilharco*

Jong Wook Kim

Mike Li

Simon Kornblith

...

2022

Exploring The Landscape of Distributional Robustness for Question Answering Models

arXiv preprint arXiv:2210.12517

Anas Awadalla

Mitchell Wortsman

Gabriel Ilharco

Sewon Min

Ian Magnusson

...

2022/10/22

Patching open-vocabulary models by interpolating weights

Advances in Neural Information Processing Systems

Gabriel Ilharco

Mitchell Wortsman

Samir Yitzhak Gadre

Shuran Song

Hannaneh Hajishirzi

...

2022/12/6

Data determines distributional robustness in contrastive language image pre-training (clip)

International Conference on Machine Learning (ICML)

Alex Fang

Gabriel Ilharco

Mitchell Wortsman

Yuhao Wan

Vaishaal Shankar

...

2022/5/3

Finetuning Pretrained Transformers into RNNs

arXiv preprint arXiv:2103.13076

Jungo Kasai

Hao Peng

Yizhe Zhang

Dani Yogatama

Gabriel Ilharco

...

2021/3/24

Contrasting Contrastive Self-Supervised Representation Learning Pipelines

Klemen Kotar

Gabriel Ilharco

Ludwig Schmidt

Kiana Ehsani

Roozbeh Mottaghi

2021

Probing contextual language models for common ground with visual representations

Gabriel Ilharco

Rowan Zellers

Ali Farhadi

Hannaneh Hajishirzi

2021/6

Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus

arXiv preprint arXiv:2104.08758

Jesse Dodge

Maarten Sap

Ana Marasović

William Agnew

Gabriel Ilharco

...

2021/4/18

MultiModalQA: Complex Question Answering over Text, Tables and Images

ICLR, 2021

Alon Talmor

Ori Yoran

Amnon Catav

Dan Lahav

Yizhong Wang

...

2021

See List of Professors in Gabriel Ilharco University(University of Washington)

Co-Authors

H-index: 104
Noah A. Smith

Noah A. Smith

University of Washington

H-index: 80
Ali Farhadi

Ali Farhadi

University of Washington

H-index: 63
Hannaneh Hajishirzi

Hannaneh Hajishirzi

University of Washington

H-index: 45
Ludwig Schmidt

Ludwig Schmidt

University of Washington

H-index: 19
Mitchell Wortsman

Mitchell Wortsman

University of Washington

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