Richard Zemel

Richard Zemel

University of Toronto

H-index: 79

North America-Canada

About Richard Zemel

Richard Zemel, With an exceptional h-index of 79 and a recent h-index of 63 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Machine Learning, Computer Vision, Neural Coding.

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

Integrating Present and Past in Unsupervised Continual Learning

Toward Informal Language Processing: Knowledge of Slang in Large Language Models

Distribution-Free Statistical Dispersion Control for Societal Applications

Partial federated learning: Unlocking non-biometric text information sharing for federated learning

Incorporating Fairness in Large Scale NLU Systems

Training-free Deep Concept Injection Enables Language Models for Crossmodal Tasks

Online algorithmic recourse by collective action

Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models

Richard Zemel Information

University

Position

Professor of Computer Science

Citations(all)

71479

Citations(since 2020)

54174

Cited By

36551

hIndex(all)

79

hIndex(since 2020)

63

i10Index(all)

177

i10Index(since 2020)

133

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Richard Zemel Skills & Research Interests

Machine Learning

Computer Vision

Neural Coding

Top articles of Richard Zemel

Title

Journal

Author(s)

Publication Date

Integrating Present and Past in Unsupervised Continual Learning

arXiv preprint arXiv:2404.19132

Yipeng Zhang

Laurent Charlin

Richard Zemel

Mengye Ren

2024/4/29

Toward Informal Language Processing: Knowledge of Slang in Large Language Models

arXiv preprint arXiv:2404.02323

Zhewei Sun

Qian Hu

Rahul Gupta

Richard Zemel

Yang Xu

2024/4/2

Distribution-Free Statistical Dispersion Control for Societal Applications

Advances in Neural Information Processing Systems

Zhun Deng

Thomas Zollo

Jake Snell

Toniann Pitassi

Richard Zemel

2024/2/13

Partial federated learning: Unlocking non-biometric text information sharing for federated learning

Tiantian Feng

Anil Ramakrishna

Jimit Majmudar

Charith Peris

Jixuan Wang

...

2024

Incorporating Fairness in Large Scale NLU Systems

Rahul Gupta

Lisa Bauer

Kai-Wei Chang

Jwala Dhamala

Aram Galstyan

...

2023/2/27

Training-free Deep Concept Injection Enables Language Models for Crossmodal Tasks

Xudong Lin

Manling Li

Richard Zemel

Heng Ji

Shih-Fu Chang

2023/10/13

Online algorithmic recourse by collective action

Elliot Creager

Richard Zemel

2021

Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models

arXiv preprint arXiv:2311.13628

Thomas P Zollo

Todd Morrill

Zhun Deng

Jake C Snell

Toniann Pitassi

...

2023/11/22

Privacy in the time of language models

Charith Peris

Christophe Dupuy

Jimit Majmudar

Rahil Parikh

Sami Smaili

...

2023/2/27

Making Predictors More Reliable with Selective Recalibration

Thomas P Zollo

Zhun Deng

Jake Snell

Toniann Pitassi

Richard Zemel

2023/10/13

Out of the ordinary: Spectrally adapting regression for covariate shift

Benjamin Eyre

Elliot Creager

David Madras

Vardan Papyan

Richard Zemel

2023

JAB: Joint adversarial prompting and belief augmentation

arXiv preprint arXiv:2311.09473

Ninareh Mehrabi

Palash Goyal

Anil Ramakrishna

Jwala Dhamala

Shalini Ghosh

...

2023/11/16

SURFSUP: Learning Fluid Simulation for Novel Surfaces

Arjun Mani

Ishaan Preetam Chandratreya

Elliot Creager

Carl Vondrick

Richard Zemel

2023

Flirt: Feedback loop in-context red teaming

arXiv preprint arXiv:2308.04265

Ninareh Mehrabi

Palash Goyal

Christophe Dupuy

Qian Hu

Shalini Ghosh

...

2023/8/8

On the steerability of large language models toward data-driven personas

NAACL 2024

Junyi Li

Charith Peris

Ninareh Mehrabi

Palash Goyal

Kai-Wei Chang

...

2023/11/2

Are you talking to ['xem'] or ['x','em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity

arXiv preprint arXiv:2312.11779

Anaelia Ovalle

Ninareh Mehrabi

Palash Goyal

Jwala Dhamala

Kai-Wei Chang

...

2023/12/19

Resolving ambiguities in text-to-image generative models

Ninareh Mehrabi

Palash Goyal

Apurv Verma

Jwala Dhamala

Varun Kumar

...

2023/7

ObEy: Quantifiable Object-based Explainability without Ground-Truth Annotations

Lennart Schulze

William Ho

Richard Zemel

2023/10/27

ICL Markup: Structuring In-Context Learning using Soft-Token Tags

arXiv preprint arXiv:2312.07405

Marc-Etienne Brunet

Ashton Anderson

Richard Zemel

2023/12/12

“I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation

Anaelia Ovalle

Palash Goyal

Jwala Dhamala

Zachary Jaggers

Kai-Wei Chang

...

2023/6/12

See List of Professors in Richard Zemel University(University of Toronto)