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A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models


Feb 13, 2023
James Urquhart Allingham, Jie Ren, Michael W Dusenberry, Jeremiah Zhe Liu, Xiuye Gu, Yin Cui, Dustin Tran, Balaji Lakshminarayanan

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Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play


Feb 11, 2023
Jeremiah Zhe Liu, Krishnamurthy Dj Dvijotham, Jihyeon Lee, Quan Yuan, Martin Strobel, Balaji Lakshminarayanan, Deepak Ramachandran

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* Accepted to ICLR 2023. Included additional contribution from Martin Strobel 

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A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness


May 01, 2022
Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zack Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan

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* arXiv admin note: text overlap with arXiv:2006.10108 

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Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees


Apr 15, 2022
Wenying Deng, Beau Coker, Jeremiah Zhe Liu, Brent A. Coull

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* 11 pages, 3 figures 

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Training independent subnetworks for robust prediction


Oct 13, 2020
Marton Havasi, Rodolphe Jenatton, Stanislav Fort, Jeremiah Zhe Liu, Jasper Snoek, Balaji Lakshminarayanan, Andrew M. Dai, Dustin Tran

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Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior


Oct 05, 2020
Zi Lin, Jeremiah Zhe Liu, Zi Yang, Nan Hua, Dan Roth

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* Findings of EMNLP 2020 

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Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness


Jun 17, 2020
Jeremiah Zhe Liu, Zi Lin, Shreyas Padhy, Dustin Tran, Tania Bedrax-Weiss, Balaji Lakshminarayanan

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Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon


Dec 03, 2019
Jeremiah Zhe Liu

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Accurate Uncertainty Estimation and Decomposition in Ensemble Learning


Nov 11, 2019
Jeremiah Zhe Liu, John Paisley, Marianthi-Anna Kioumourtzoglou, Brent Coull

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Gaussian Process Regression and Classification under Mathematical Constraints with Learning Guarantees


Apr 21, 2019
Jeremiah Zhe Liu

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