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29 Results

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Workshop
Mon 7:45 Debugging Machine Learning Models
Julius Adebayo · Himabindu Lakkaraju · Sarah Tan · Rich Caruana · Jacob Steinhardt · D. Sculley
Workshop
Mon 9:40 Debugging Machine Learning via Model Assertions
Daniel Kang
Workshop
Mon 13:30 Safe and Reliable Machine Learning: Preventing and Identifying Failures
Suchi Saria
Workshop
Mon 8:40 Error terrain analysis for machine learning: Tool and visualizations
Besmira Nushi
Workshop
Mon 7:45 Safe Machine Learning: Specification, Robustness, and Assurance
Silvia Chiappa · Victoria Krakovna · Adrià Garriga-Alonso · Andrew Trask · Jonathan Uesato · Christina Heinze-Deml · Ray Jiang · Adrian Weller
Poster
Tue 14:30 Adversarial Reprogramming of Neural Networks
Gamaleldin Elsayed · Ian Goodfellow · Jascha Sohl-Dickstein
Invited Talk
Tue 12:30 Adversarial Machine Learning
Ian Goodfellow
Poster
Thu 9:00 FlowQA: Grasping Flow in History for Conversational Machine Comprehension
Hsin-Yuan Huang · Eunsol Choi · Wen-tau Yih
Invited Talk
Tue 7:00 Can Machine Learning Help to Conduct a Planetary Healthcheck?
Emily Shuckburgh
Workshop
Mon 15:20 The Scientific Method in the Science of Machine Learning
Michela Paganini
Poster
Thu 14:30 Toward Understanding the Impact of Staleness in Distributed Machine Learning
Wei Dai · Yi Zhou · Nanqing Dong · Hao Zhang · Eric Xing
Poster
Thu 14:30 Measuring Compositionality in Representation Learning
Jacob Andreas