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Bradley C. Love

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On Leakage in Machine Learning Pipelines

Nov 07, 2023
Leonard Sasse, Eliana Nicolaisen-Sobesky, Juergen Dukart, Simon B. Eickhoff, Michael Götz, Sami Hamdan, Vera Komeyer, Abhijit Kulkarni, Juha Lahnakoski, Bradley C. Love, Federico Raimondo, Kaustubh R. Patil

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Getting aligned on representational alignment

Nov 02, 2023
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Iris Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths

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Confound-leakage: Confound Removal in Machine Learning Leads to Leakage

Oct 17, 2022
Sami Hamdan, Bradley C. Love, Georg G. von Polier, Susanne Weis, Holger Schwender, Simon B. Eickhoff, Kaustubh R. Patil

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Exploring Alignment of Representations with Human Perception

Nov 29, 2021
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller

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A Too-Good-to-be-True Prior to Reduce Shortcut Reliance

Feb 12, 2021
Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love

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Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings

Nov 22, 2020
Brett D. Roads, Bradley C. Love

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Robust priors for regularized regression

Oct 06, 2020
Sebastian Bobadilla-Suarez, Matt Jones, Bradley C. Love

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The perceptual boost of visual attention is task-dependent in naturalistic settings

Feb 22, 2020
Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love

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The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks

Feb 06, 2020
Xiaoliang Luo, Brett D. Roads, Bradley C. Love

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