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Poster
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Tue 17:00
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Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
Christopher Choquette-Choo · Hugh B McMahan · J K Rush · Abhradeep Guha Thakurta
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Workshop
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Investigating minimizing the training set fill distance in machine learning regression
Paolo Climaco · Jochen Garcke
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Poster
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Thu 16:30
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The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
Xavier Garcia · Yamini Bansal · Colin Cherry · George Foster · Maxim Krikun · Melvin Johnson · Orhan Firat
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Poster
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Tue 17:00
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Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Yuxin Tang · Zhimin Ding · Dimitrije Jankov · Binhang Yuan · Daniel Bourgeois · Chris Jermaine
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Workshop
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Fri 12:00
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2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML)
Tegan Emerson · Henry Kvinge · Tim Doster · Bastian Rieck · Sophia Sanborn · Nina Miolane · Mathilde Papillon
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Workshop
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Fri 17:20
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MLSMM: Machine Learning Security Maturity Model
Felix Jedrzejewski · Davide Fucci · Oleksandr Adamov
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Workshop
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Fri 16:40
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GRIL: A 22-parameter Persistence Based Vectorization for Machine Learning
Shreyas N. Samaga
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Affinity Workshop
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Mon 19:15
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Convolutional neural network regression to estimate the mass parameter of astrophysical binary black hole systems
Andres Antelis · Claudia Moreno
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Poster
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Thu 16:30
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Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver
Xinyu Ye · Ge Yan · Junchi Yan
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Workshop
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Fri 19:00
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GRIL: A 22-parameter Persistence Based Vectorization for Machine Learning
Cheng Xin · Soham Mukherjee · Shreyas N. Samaga · Tamal Dey
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Poster
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Tue 17:00
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Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
Baoluo Sun · Yifan Cui · Eric Tchetgen Tchetgen
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Workshop
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Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey
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