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Chris Russell

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The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default

Feb 05, 2023
Brent Mittelstadt, Sandra Wachter, Chris Russell

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Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning

Jan 12, 2023
Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello

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The Monocular Depth Estimation Challenge

Nov 22, 2022
Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich Graf, Wendy Adams, Andrew J. Schofield, James Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao

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Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter

Aug 02, 2022
Jaime Spencer Martin, Chris Russell, Simon Hadfield, Richard Bowden

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Assaying Out-Of-Distribution Generalization in Transfer Learning

Jul 19, 2022
Florian Wenzel, Andrea Dittadi, Peter Vincent Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello

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Pixel-level Correspondence for Self-Supervised Learning from Video

Jul 08, 2022
Yash Sharma, Yi Zhu, Chris Russell, Thomas Brox

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Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks

Apr 09, 2022
Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, Chris Russell

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"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping

Apr 06, 2022
Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden

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Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers

Mar 31, 2022
Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell

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