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Invited Talk
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Tue 9:00
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Representation Learning in the Global South: Societal Considerations-Fairness, Safety and Privacy
John Amuasi
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Poster
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Tue 10:30
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Selective Ensembles for Consistent Predictions
Emily Black · Klas Leino · Matt Fredrikson
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Spotlight
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Mon 2:30
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8-bit Optimizers via Block-wise Quantization
Tim Dettmers · Mike Lewis · Sam Shleifer · Luke Zettlemoyer
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Poster
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Mon 2:30
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8-bit Optimizers via Block-wise Quantization
Tim Dettmers · Mike Lewis · Sam Shleifer · Luke Zettlemoyer
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Spotlight
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Thu 10:30
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Fairness in Representation for Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling
Ada Wan
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Poster
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Tue 2:30
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Distributionally Robust Models with Parametric Likelihood Ratios
Paul Michel · Tatsunori Hashimoto · Graham Neubig
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Poster
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Tue 18:30
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The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
Zhaowei Zhu · Tianyi Luo · Yang Liu
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Poster
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Wed 18:30
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Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
Natalie Dullerud · Karsten Roth · Kimia Hamidieh · Nicolas Papernot · Marzyeh Ghassemi
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Poster
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Tue 10:30
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Fairness Guarantees under Demographic Shift
Stephen Giguere · Blossom Metevier · Bruno Silva · Yuriy Brun · Philip Thomas · Scott Niekum
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Poster
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Thu 10:30
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Fairness in Representation for Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling
Ada Wan
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Poster
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Mon 10:30
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MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining
Ahmed Imtiaz Humayun · Randall Balestriero · Richard Baraniuk
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Poster
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Mon 10:30
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FairCal: Fairness Calibration for Face Verification
Tiago Salvador · Stephanie Cairns · Vikram Voleti · Noah Marshall · Adam Oberman
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