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Luke E. Richards

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Measuring Equality in Machine Learning Security Defenses

Mar 01, 2023
Luke E. Richards, Edward Raff, Cynthia Matuszek

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Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training

Sep 09, 2022
Derek Everett, Andre T. Nguyen, Luke E. Richards, Edward Raff

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FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation

May 04, 2022
Maksim E. Eren, Luke E. Richards, Manish Bhattarai, Roberto Yus, Charles Nicholas, Boian S. Alexandrov

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Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech

Dec 27, 2021
Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek

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Adversarial Transfer Attacks With Unknown Data and Class Overlap

Sep 24, 2021
Luke E. Richards, André Nguyen, Ryan Capps, Steven Forsythe, Cynthia Matuszek, Edward Raff

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Practical Cross-modal Manifold Alignment for Grounded Language

Sep 01, 2020
Andre T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek

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