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Oral
Wed Jun 12th 11:00 -- 11:20 AM @ Room 201
Exploiting Worker Correlation for Label Aggregation in Crowdsourcing
Yuan Li · Benjamin Rubinstein · Trevor Cohn
Oral
Wed Jun 12th 11:20 -- 11:25 AM @ Room 201
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems
Ted Meeds · Geoffrey Roeder · Paul Grant · Andrew Phillips · Neil Dalchau
Oral
Wed Jun 12th 11:25 -- 11:30 AM @ Room 201
A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology
Onur Dereli · Ceyda Oğuz · Mehmet Gönen
Oral
Wed Jun 12th 11:30 -- 11:35 AM @ Room 201
Fast and Flexible Inference of Joint Distributions from their Marginals
Charles Frogner · Tomaso Poggio
Oral
Wed Jun 12th 11:35 -- 11:40 AM @ Room 201
Cognitive model priors for predicting human decisions
Joshua C Peterson · David D Bourgin · Daniel Reichman · Thomas Griffiths · Stuart Russell
Oral
Wed Jun 12th 11:40 AM -- 12:00 PM @ Room 201
Conditioning by adaptive sampling for robust design
David Brookes · Jennifer Listgarten
Oral
Wed Jun 12th 12:00 -- 12:05 PM @ Room 201
Direct Uncertainty Prediction for Medical Second Opinions
Maithra Raghu · Katy Blumer · Rory sayres · Ziad Obermeyer · Bobby Kleinberg · Sendhil Mullainathan · Jon Kleinberg
Oral
Wed Jun 12th 12:05 -- 12:10 PM @ Room 201
Dynamic Measurement Scheduling for Event Forecasting using Deep RL
Chun-Hao (Kingsley) Chang · Mingjie Mai · Anna Goldenberg
Oral
Wed Jun 12th 12:10 -- 12:15 PM @ Room 201
Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization
Hesham Mostafa · Xin Wang
Oral
Wed Jun 12th 12:15 -- 12:20 PM @ Room 201
DeepNose: Using artificial neural networks to represent the space of odorants
Ngoc Tran · Daniel Kepple · Sergey Shuvaev · Alexei Koulakov