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Workshop
Fri 14:01 Contributed Talk 3 - Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Curtis G Northcutt
Workshop
Fri 8:30 Workshop on Distributed and Private Machine Learning
Fatemehsadat Mireshghallah · Praneeth Vepakomma · Ayush Chopra · Vivek Sharma · Abhishek Singh · Adam Smith · Ramesh Raskar · Gautam Kamath · Reza Shokri
Poster
Mon 1:00 Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
Masanobu Horie · Naoki Morita · Toshiaki Hishinuma · Yu Ihara · Naoto Mitsume
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
Poster
Mon 9:00 Shapley Explanation Networks
Rui Wang · Xiaoqian Wang · David Inouye
Wed 12:00 Women in Artificial Intelligence & Machine Learning (WinAIML)
Poster
Wed 17:00 Protecting DNNs from Theft using an Ensemble of Diverse Models
Sanjay Kariyappa · Atul Prakash · Moinuddin K Qureshi
Poster
Tue 9:00 Large Associative Memory Problem in Neurobiology and Machine Learning
Dmitry Krotov · John J Hopfield
Poster
Thu 17:00 Neural representation and generation for RNA secondary structures
Zichao Yan · William Hamilton · Mathieu Blanchette
Thu 9:00 Machine Learning for Software Engineering
Workshop
Fri 13:07 Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Curtis G Northcutt