Judy Hanwen Shen

According to our database, Judy Hanwen Shen authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance.

Omer Reingold, Judy Hanwen Shen, Aditi Talati

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Unifying Corroborative and Contributive Attributions in Large Language Models.

Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin

CoRR, 2023

Unlocking Accuracy and Fairness in Differentially Private Image Classification.

Leonard Berrada, Soham De, Judy Hanwen Shen, Jamie Hayes, Robert Stanforth, David Stutz, Pushmeet Kohli, Samuel L. Smith, Borja Balle

CoRR, 2023

Bidding Strategies for Proportional Representation in Advertisement Campaigns.

Inbal Livni Navon, Charlotte Peale, Omer Reingold, Judy Hanwen Shen

Proceedings of the 4th Symposium on Foundations of Responsible Computing, 2023

2022

Longitudinal Complex Dynamics of Labour Markets Reveal Increasing Polarisation.

Shahad Althobaiti, Ahmad Alabdulkareem, Judy Hanwen Shen, Iyad Rahwan, Morgan R. Frank, Esteban Moro, Alex Rutherford

CoRR, 2022

Leximax Approximations and Representative Cohort Selection.

Monika Henzinger, Charlotte Peale, Omer Reingold, Judy Hanwen Shen

Proceedings of the 3rd Symposium on Foundations of Responsible Computing, 2022

2021

Differentially Private Set Union.

Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin

J. Priv. Confidentiality, 2021

Fast and Memory Efficient Differentially Private-SGD via JL Projections.

Zhiqi Bu, Sivakanth Gopi, Janardhan Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accuracy, Interpretability, and Differential Privacy via Explainable Boosting.

Harsha Nori, Rich Caruana, Zhiqi Bu, Judy Hanwen Shen, Janardhan Kulkarni

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Human-centric dialog training via offline reinforcement learning.

Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson, Àgata Lapedriza, Noah Jones, Shixiang Gu, Rosalind W. Picard

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Hierarchical Reinforcement Learning for Open-Domain Dialog.

Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind W. Picard

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog.

Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson, Àgata Lapedriza, Noah Jones, Shixiang Gu, Rosalind W. Picard

CoRR, 2019

Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems.

Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Àgata Lapedriza, Rosalind W. Picard

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unintentional affective priming during labeling may bias labels.

Judy Hanwen Shen, Àgata Lapedriza, Rosalind W. Picard

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018

Closing the AI Knowledge Gap.

Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Abhimanyu Dubey, Bjarke Felbo, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan

CoRR, 2018

TuringBox: An Experimental Platform for the Evaluation of AI Systems.

Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games.

Judy Hanwen Shen, Matthias Hofer, Bjarke Felbo, Roger Levy

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2017

Detecting Anxiety through Reddit.

Judy Hanwen Shen, Frank Rudzicz

Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology, 2017