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Adam Oberman

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Addressing Sample Inefficiency in Multi-View Representation Learning

Dec 17, 2023
Kumar Krishna Agrawal, Arna Ghosh, Adam Oberman, Blake Richards

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EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models

Dec 22, 2022
Xinlin Li, Mariana Parazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia

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A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods

Oct 03, 2022
Tiago Salvador, Kilian Fatras, Ioannis Mitliagkas, Adam Oberman

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On the Generalization of Representations in Reinforcement Learning

Mar 01, 2022
Charline Le Lan, Stephen Tu, Adam Oberman, Rishabh Agarwal, Marc G. Bellemare

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Multi-Resolution Continuous Normalizing Flows

Jun 22, 2021
Vikram Voleti, Chris Finlay, Adam Oberman, Christopher Pal

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Improved Predictive Uncertainty using Corruption-based Calibration

Jun 07, 2021
Tiago Salvador, Vikram Voleti, Alexander Iannantuono, Adam Oberman

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Bias Mitigation of Face Recognition Models Through Calibration

Jun 07, 2021
Tiago Salvador, Stephanie Cairns, Vikram Voleti, Noah Marshall, Adam Oberman

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A principled approach for generating adversarial images under non-smooth dissimilarity metrics

Aug 05, 2019
Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam Oberman

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Improved robustness to adversarial examples using Lipschitz regularization of the loss

Oct 23, 2018
Chris Finlay, Adam Oberman, Bilal Abbasi

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