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Workshop
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Deep learning-based bias adjustment of decadal climate predictions
Reinel Sospedra-Alfonso · Johannes Exenberger · Marie McGraw · Trung Kien Dang
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Workshop
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Fri 9:18
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Deep learning-based bias adjustment of decadal climate predictions
Reinel Sospedra-Alfonso · Johannes Exenberger · Marie McGraw · Trung Kien Dang
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Poster
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Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Jing Xu · Xu Luo · Xinglin Pan · Yanan Li · Wenjie Pei · Zenglin Xu
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Poster
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Tue 14:00
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EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
Laurent Condat · Kai Yi · Peter Richtarik
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Affinity Workshop
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Gender Bias Evaluation in Luganda-English Machine Translation
Eric Peter Wairagala
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Workshop
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Benchmarking the Effect of Poisoning Defenses on the Security and Bias of the Final Model
Nathalie Baracaldo · Kevin Eykholt · Farhan Ahmed · Yi Zhou · Shriti Priya · Taesung Lee · Swanand Kadhe · Yusong Tan · Sridevi Polavaram · Sterling Suggs
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Poster
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Tue 9:00
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Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective
Changyou Chen · Jianyi Zhang · Yi Xu · Liqun Chen · Jiali Duan · Yiran Chen · Son Tran · Belinda Zeng · Trishul Chilimbi
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Poster
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Tue 9:00
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Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
Emmanuel Abbe · Samy Bengio · Elisabetta Cornacchia · Jon Kleinberg · Aryo Lotfi · Maithra Raghu · Chiyuan Zhang
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Workshop
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DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
Tao Ge · Jaideep Pathak · Akshay Subramaniam · Karthik Kashinath
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Workshop
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Fri 16:11
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DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
Tao Ge · Jaideep Pathak · Akshay Subramaniam · Karthik Kashinath
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