Jimmy Ba

Jimmy Ba

University of Toronto

H-index: 50

North America-Canada

About Jimmy Ba

Jimmy Ba, With an exceptional h-index of 50 and a recent h-index of 49 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Neural Networks, Artificial Intelligence, Machine Learning, Deep Learning.

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

PIFiA: self-supervised approach for protein functional annotation from single-cell imaging data

The wmdp benchmark: Measuring and reducing malicious use with unlearning

Learning in the presence of low-dimensional structure: a spiked random matrix perspective

Alpacafarm: A simulation framework for methods that learn from human feedback

A Generative Model for Text Control in Minecraft (Abridged Version)

Mastering diverse domains through world models

Calibrating language models via augmented prompt ensembles

Openwebmath: An open dataset of high-quality mathematical web text

Jimmy Ba Information

University

Position

___

Citations(all)

208739

Citations(since 2020)

183125

Cited By

90137

hIndex(all)

50

hIndex(since 2020)

49

i10Index(all)

70

i10Index(since 2020)

70

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Jimmy Ba Skills & Research Interests

Neural Networks

Artificial Intelligence

Machine Learning

Deep Learning

Top articles of Jimmy Ba

Title

Journal

Author(s)

Publication Date

PIFiA: self-supervised approach for protein functional annotation from single-cell imaging data

bioRxiv

Anastasia Razdaibiedina

Alexander V Brechalov

Helena Friesen

Mojca Mattiazzi Usaj

Myra Paz David Masinas

...

2023

The wmdp benchmark: Measuring and reducing malicious use with unlearning

arXiv preprint arXiv:2403.03218

Nathaniel Li

Alexander Pan

Anjali Gopal

Summer Yue

Daniel Berrios

...

2024/3/5

Learning in the presence of low-dimensional structure: a spiked random matrix perspective

Advances in Neural Information Processing Systems

Jimmy Ba

Murat A Erdogdu

Taiji Suzuki

Zhichao Wang

Denny Wu

2024/2/13

Alpacafarm: A simulation framework for methods that learn from human feedback

Advances in Neural Information Processing Systems

Yann Dubois

Chen Xuechen Li

Rohan Taori

Tianyi Zhang

Ishaan Gulrajani

...

2024/2/13

A Generative Model for Text Control in Minecraft (Abridged Version)

Shalev Lifshitz

Keiran Paster

Harris Chan

Jimmy Ba

Sheila A McIlraith

2023/7/28

Mastering diverse domains through world models

arXiv preprint arXiv:2301.04104

Danijar Hafner

Jurgis Pasukonis

Jimmy Ba

Timothy Lillicrap

2023/1/10

Calibrating language models via augmented prompt ensembles

Mingjian Jiang

Yangjun Ruan

Sicong Huang

Saifei Liao

Silviu Pitis

...

2023/6/23

Openwebmath: An open dataset of high-quality mathematical web text

arXiv preprint arXiv:2310.06786

Keiran Paster

Marco Dos Santos

Zhangir Azerbayev

Jimmy Ba

2023/10/10

Training on thin air: Improve image classification with generated data

arXiv preprint arXiv:2305.15316

Yongchao Zhou

Hshmat Sahak

Jimmy Ba

2023/5/24

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft (Abridged Version)

Advances in Neural Information Processing Systems

Shalev Lifshitz

Keiran Paster

Harris Chan

Jimmy Ba

Sheila McIlraith

2024/2/13

Decomposed Prompting to Answer Questions on a Course Discussion Board

Brandon Jaipersaud

Paul Zhang

Jimmy Ba

Andrew Petersen

Lisa Zhang

...

2023/6/30

Clinical camel: An open-source expert-level medical language model with dialogue-based knowledge encoding

arXiv preprint arXiv:2305.12031

Augustin Toma

Patrick R Lawler

Jimmy Ba

Rahul G Krishnan

Barry B Rubin

...

2023/5/19

A Generative Model for Text Control in Minecraft

Shalev Lifshitz

Keiran Paster

Harris Chan

Jimmy Ba

Sheila A McIlraith

2023/6/20

Identifying the risks of lm agents with an lm-emulated sandbox

arXiv preprint arXiv:2309.15817

Yangjun Ruan

Honghua Dong

Andrew Wang

Silviu Pitis

Yongchao Zhou

...

2023/9/25

Residual prompt tuning: Improving prompt tuning with residual reparameterization

arXiv preprint arXiv:2305.03937

Anastasia Razdaibiedina

Yuning Mao

Rui Hou

Madian Khabsa

Mike Lewis

...

2023/5/6

TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation

International Conference on Machine Learning

Zhaoyan Liu

Noël Vouitsis

Satya Krishna Gorti

Jimmy Ba

Gabriel Loaiza-Ganem

2023/6/15

Using Large Language Models for Hyperparameter Optimization

Michael R Zhang

Nishkrit Desai

Juhan Bae

Jonathan Lorraine

Jimmy Ba

2023/11/8

Classifying Course Discussion Board Questions using LLMs

Paul Zhang

Brandon Jaipersaud

Jimmy Ba

Andrew Petersen

Lisa Zhang

...

2023/6/29

Boosted prompt ensembles for large language models

arXiv preprint arXiv:2304.05970

Silviu Pitis

Michael R Zhang

Andrew Wang

Jimmy Ba

2023/4/12

You Can't Count on Luck: Why Decision Transformers Fail in Stochastic Environments

Advances in Neural Information Processing Systems

Keiran Paster

Sheila McIlraith

Jimmy Ba

2022/5/31

See List of Professors in Jimmy Ba University(University of Toronto)

Co-Authors

H-index: 227
Yoshua Bengio

Yoshua Bengio

Université de Montréal

H-index: 115
Ruslan Salakhutdinov

Ruslan Salakhutdinov

Carnegie Mellon University

H-index: 82
Sanja Fidler

Sanja Fidler

University of Toronto

H-index: 80
Brendan Frey

Brendan Frey

University of Toronto

H-index: 44
Roger Grosse

Roger Grosse

University of Toronto

H-index: 11
Oren Kraus

Oren Kraus

University of Toronto

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