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Workshop
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How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?
Saeid Asgari · Joseph G Lambourne · Alana Mongkhounsavath
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Workshop
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Sat 17:27
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Multi-Output Distributional Fairness via Post-Processing
Gang Li · Qihang Lin · Ayush Ghosh · Tianbao Yang
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Workshop
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Multi-Output Distributional Fairness via Post-Processing
Gang Li · Qihang Lin · Ayush Ghosh · Tianbao Yang
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Poster
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Fri 16:30
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A distributional simplicity bias in the learning dynamics of transformers
Riccardo Rende · Federica Gerace · Alessandro Laio · Sebastian Goldt
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Workshop
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How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?
Saeid Asgari · Joseph G Lambourne · Alana Mongkhounsavath
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Poster
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Wed 11:00
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Distributed Least Squares in Small Space via Sketching and Bias Reduction
Sachin Garg · Kevin Tan · Michal Derezinski
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Workshop
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Fairness Implications of Machine Unlearning: Bias Risks in Removing NSFW Content from Text-to-Image Models
Xiwen Wei · Guihong Li · Radu Marculescu
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Workshop
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Sat 9:00
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Geometry of the Distribution of Natural Images
Eero Simoncelli
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Poster
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Wed 16:30
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Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
Xingyu Zhu · Beier Zhu · Yi Tan · Shuo Wang · Yanbin Hao · Hanwang Zhang
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Poster
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Fri 11:00
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An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching
Hugo Malard · Michel Olvera · Stéphane Lathuilière · Slim Essid
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Workshop
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Bias Analysis for Unconditional Image Generative Models
Xiaofeng Zhang · Simon Lacoste-Julien · Aaron Courville · Yash Goyal
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Workshop
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On Optimal Subgroups for Group Distributionally Robust Optimisation
Anissa Alloula · Daniel McGowan · Bartlomiej W. Papiez
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