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Fri Jun 14 08:30 AM -- 08:40 AM (PDT)
Welcome
In Uncertainty and Robustness in Deep Learning
Sharon Yixuan Li
[ Video] 
Fri Jun 14 08:30 AM -- 06:00 PM (PDT)
Out-of-Distribution Detection Using Deep Likelihood Ratios
In Uncertainty and Robustness in Deep Learning
Fri Jun 14 08:30 AM -- 06:00 PM (PDT)
Detecting Adversarial Examples and Other Misclassifications in Neural Networks by Introspection
In Uncertainty and Robustness in Deep Learning
Fri Jun 14 08:30 AM -- 06:00 PM (PDT)
Stochastic Prototype Embeddings
In Uncertainty and Robustness in Deep Learning
Fri Jun 14 08:40 AM -- 09:30 AM (PDT)
Robust training of conditional GANs from a few labels
In Uncertainty and Robustness in Deep Learning
Fri Jun 14 08:40 AM -- 09:30 AM (PDT)
Spotlight
In Uncertainty and Robustness in Deep Learning
Tyler Scott · Kiran Koshy · Jonathan Aigrain · Rene Bidart · Priyadarshini Panda · Dian Ang Yap · Yaniv Yacoby · Raphael Gontijo Lopes · Alberto Marchisio · Erik Englesson · Wanqian Yang · Moritz Graule · Yi Sun · Daniel Kang · Mike Dusenberry · Min Du · Hartmut Maennel · Kunal Menda · Vineet Edupuganti · Luke Metz · David Stutz · Vignesh Srinivasan · Timo Sämann · Vineeth N Balasubramanian · Sina Mohseni · Rob Cornish · Judith Butepage · Zhangyang Wang · Bai Li · Bo Han · Honglin Li · Maksym Andriushchenko · Lukas Ruff · Meet P. Vadera · Yaniv Ovadia · Sunil Thulasidasan · Disi Ji · Gang Niu · Saeed Mahloujifar · Aviral Kumar · SANGHYUK CHUN · Dong Yin · Joyce Xu Xu · Hugo Gomes · Raanan Rohekar
[ Video] 
Fri Jun 14 09:30 AM -- 10:00 AM (PDT)
Keynote by Max Welling: A Nonparametric Bayesian Approach to Deep Learning (without GPs)
In Uncertainty and Robustness in Deep Learning
Max Welling
[ Video] 
Fri Jun 14 10:00 AM -- 11:00 AM (PDT)
Poster Session 1 (all papers)
In Uncertainty and Robustness in Deep Learning
Fri Jun 14 11:00 AM -- 11:30 AM (PDT)
Keynote by Kilian Weinberger: On Calibration and Fairness
In Uncertainty and Robustness in Deep Learning
Kilian Weinberger
[ Video] 
Fri Jun 14 11:30 AM -- 11:40 AM (PDT)
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
In Uncertainty and Robustness in Deep Learning
Maksym Andriushchenko
[ Video] 
Fri Jun 14 11:40 AM -- 11:50 AM (PDT)
Detecting Extrapolation with Influence Functions
In Uncertainty and Robustness in Deep Learning
David Madras
[ Video] 
Fri Jun 14 11:50 AM -- 12:00 PM (PDT)
How Can We Be So Dense? The Robustness of Highly Sparse Representations
In Uncertainty and Robustness in Deep Learning
Subutai Ahmad
[ Video] 
Fri Jun 14 12:00 PM -- 12:30 PM (PDT)
Keynote by Suchi Saria: Safety Challenges with Black-Box Predictors and Novel Learning Approaches for Failure Proofing
In Uncertainty and Robustness in Deep Learning
Suchi Saria
[ Video] 
Fri Jun 14 02:00 PM -- 02:10 PM (PDT)
Subspace Inference for Bayesian Deep Learning
In Uncertainty and Robustness in Deep Learning
Polina Kirichenko · Pavel Izmailov · Andrew Wilson
[ Video] 
Fri Jun 14 02:10 PM -- 02:20 PM (PDT)
Quality of Uncertainty Quantification for Bayesian Neural Network Inference
In Uncertainty and Robustness in Deep Learning
Jiayu Yao
[ Video] 
Fri Jun 14 02:20 PM -- 02:30 PM (PDT)
'In-Between' Uncertainty in Bayesian Neural Networks
In Uncertainty and Robustness in Deep Learning
Yue Kwang Foong
[ Video] 
Fri Jun 14 02:30 PM -- 03:00 PM (PDT)
Keynote by Dawn Song: Adversarial Machine Learning: Challenges, Lessons, and Future Directions
In Uncertainty and Robustness in Deep Learning
Dawn Song
[ Video] 
Fri Jun 14 03:30 PM -- 04:00 PM (PDT)
Keynote by Terrance Boult: The Deep Unknown: on Open-set and Adversarial Examples in Deep Learning
In Uncertainty and Robustness in Deep Learning
Terrance Boult
[ Video] 
Fri Jun 14 04:00 PM -- 05:00 PM (PDT)
Panel Discussion (moderator: Tom Dietterich)
In Uncertainty and Robustness in Deep Learning
Max Welling · Kilian Weinberger · Terrance Boult · Dawn Song · Thomas Dietterich
[ Video] 
Fri Jun 14 05:00 PM -- 06:00 PM (PDT)
Poster Session 2 (all papers)
In Uncertainty and Robustness in Deep Learning