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Workshop
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Sat 11:30
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Rashmi Vinayak: Resilient ML inference via coded computation: A learning-based approach
Rashmi Vinayak
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Workshop
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Sat 14:00
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Alex Dimakis: Coding Theory for Distributed Learning
Alexandros Dimakis
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Poster
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Tue 18:30
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Online learning with kernel losses
Niladri Chatterji · Aldo Pacchiano · Peter Bartlett
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Poster
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Wed 18:30
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Data Poisoning Attacks in Multi-Party Learning
Saeed Mahloujifar · Mohammad Mahmoody · Ameer Mohammed
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Poster
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Thu 18:30
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LatentGNN: Learning Efficient Non-local Relations for Visual Recognition
Songyang Zhang · Xuming He · Shipeng Yan
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Poster
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Wed 18:30
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Understanding Geometry of Encoder-Decoder CNNs
Jong Chul Ye · woonkyoung Sung
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Workshop
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Sat 9:00
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Salman Avestimehr: Lagrange Coded Computing: Optimal Design for Resilient, Secure, and Private Distributed Learning
Salman Avestimehr
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Poster
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Wed 18:30
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Learning Classifiers for Target Domain with Limited or No Labels
Pengkai Zhu · Hanxiao Wang · Venkatesh Saligrama
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Poster
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Wed 18:30
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Equivariant Transformer Networks
Kai Sheng Tai · Peter Bailis · Gregory Valiant
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Poster
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Tue 18:30
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Co-Representation Network for Generalized Zero-Shot Learning
Fei Zhang · Guangming Shi
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Poster
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Thu 18:30
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Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits
Martin Zhang · James Zou · David Tse
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Poster
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Thu 18:30
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Fair Regression: Quantitative Definitions and Reduction-Based Algorithms
Alekh Agarwal · Miroslav Dudik · Steven Wu
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