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Poster
Thu 9:00 Meta-Learning of Structured Task Distributions in Humans and Machines
Sreejan Kumar · Ishita Dasgupta · Jonathan Cohen · Nathaniel Daw · Thomas L Griffiths
Poster
Mon 1:00 Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee · Eunyoung Hyung · Sung Ju Hwang
Poster
Mon 1:00 Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Xinyue Chen · Che Wang · Zijian Zhou · Keith Ross
Workshop
Fri 14:01 Contributed Talk 3 - Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Curtis G Northcutt
Workshop
Fri 13:07 Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Curtis G Northcutt
Workshop
Fri 10:05 Q&A for Inference Risks for Machine Learning
Poster
Mon 9:00 Shapley Explanation Networks
Rui Wang · Xiaoqian Wang · David Inouye
Workshop
Fri 9:40 Inference Risks for Machine Learning
David Evans
Invited Talk
Mon 8:00 Moving beyond the fairness rhetoric in machine learning
Timnit Gebru
Thu 9:00 Machine Learning for Software Engineering
Workshop
MPCLeague: Robust 4-party Computation for Privacy-Preserving Machine Learning
Nishat Koti · Arpita Patra · Ajith Suresh
Poster
Wed 17:00 Protecting DNNs from Theft using an Ensemble of Diverse Models
Sanjay Kariyappa · Atul Prakash · Moinuddin K Qureshi