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Intrinsic uncertainties and where to find them
Jasper Snoek · Balaji Lakshminarayanan
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Jasper Snoek (Google Brain)
Balaji Lakshminarayanan (Google Brain)
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2021 : Failures of Uncertainty Estimation on Out-Of-Distribution Samples: Experimental Results from Medical Applications Lead to Theoretical Insights »
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2021 : On Out-of-distribution Detection with Energy-Based Models »
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2021 : Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error »
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2021 : Safety & Exploration: A Comparative Study of Uses of Uncertainty in Reinforcement Learning »
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2021 : The Hidden Uncertainty in a Neural Network’s Activations »
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2021 : Detecting OODs as datapoints with High Uncertainty »
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2021 : Deep Learning with Quantified Uncertainty for Free Electron Laser Scientific Facilities »
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2021 : On the reversed bias-variance tradeoff in deep ensembles »
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2021 : Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data »
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2021 : Notes on the Behavior of MC Dropout »
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2021 : Stochastic Bouncy Particle Sampler for Bayesian Neural Networks »
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2021 : Novelty detection using ensembles with regularized disagreement »
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2021 : A Tale Of Two Long Tails »
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2021 : Defending against Adversarial Patches with Robust Self-Attention »
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2021 : Dataset to Dataspace: A Topological-Framework to Improve Analysis of Machine Learning Model Performance »
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2021 : Analyzing And Improving Neural Networks By Generating Semantic Counterexamples Through Differentiable Rendering »
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2021 : Thinkback: Task-Specific Out-of-Distribution Detection »
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2021 : Relating Adversarially Robust Generalization to Flat Minima »
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2021 : Deep Quantile Aggregation »
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2022 : Plex: Towards Reliability using Pretrained Large Model Extensions »
Dustin Tran · Andreas Kirsch · Balaji Lakshminarayanan · Huiyi Hu · Du Phan · D. Sculley · Jasper Snoek · Jeremiah Liu · Jie Ren · Joost van Amersfoort · Kehang Han · E. Kelly Buchanan · Kevin Murphy · Mark Collier · Mike Dusenberry · Neil Band · Nithum Thain · Rodolphe Jenatton · Tim G. J Rudner · Yarin Gal · Zachary Nado · Zelda Mariet · Zi Wang · Zoubin Ghahramani -
2022 : Plex: Towards Reliability using Pretrained Large Model Extensions »
Dustin Tran · Andreas Kirsch · Balaji Lakshminarayanan · Huiyi Hu · Du Phan · D. Sculley · Jasper Snoek · Jeremiah Liu · JIE REN · Joost van Amersfoort · Kehang Han · Estefany Kelly Buchanan · Kevin Murphy · Mark Collier · Michael Dusenberry · Neil Band · Nithum Thain · Rodolphe Jenatton · Tim G. J Rudner · Yarin Gal · Zachary Nado · Zelda Mariet · Zi Wang · Zoubin Ghahramani -
2022 : Plex: Towards Reliability using Pretrained Large Model Extensions »
Dustin Tran · Andreas Kirsch · Balaji Lakshminarayanan · Huiyi Hu · Du Phan · D. Sculley · Jasper Snoek · Jeremiah Liu · JIE REN · Joost van Amersfoort · Kehang Han · Estefany Kelly Buchanan · Kevin Murphy · Mark Collier · Michael Dusenberry · Neil Band · Nithum Thain · Rodolphe Jenatton · Tim G. J Rudner · Yarin Gal · Zachary Nado · Zelda Mariet · Zi Wang · Zoubin Ghahramani -
2021 Workshop: Uncertainty and Robustness in Deep Learning »
Balaji Lakshminarayanan · Dan Hendrycks · Yixuan Li · Jasper Snoek · Silvia Chiappa · Sebastian Nowozin · Thomas Dietterich -
2021 : Welcome »
Balaji Lakshminarayanan -
2020 Workshop: Uncertainty and Robustness in Deep Learning Workshop (UDL) »
Sharon Yixuan Li · Balaji Lakshminarayanan · Dan Hendrycks · Thomas Dietterich · Jasper Snoek -
2020 Poster: Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors »
Mike Dusenberry · Ghassen Jerfel · Yeming Wen · Yian Ma · Jasper Snoek · Katherine Heller · Balaji Lakshminarayanan · Dustin Tran -
2019 Workshop: Uncertainty and Robustness in Deep Learning »
Sharon Yixuan Li · Dan Hendrycks · Thomas Dietterich · Balaji Lakshminarayanan · Justin Gilmer -
2019 Poster: Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems »
Timothy Mann · Sven Gowal · András György · Huiyi Hu · Ray Jiang · Balaji Lakshminarayanan · Prav Srinivasan -
2019 Oral: Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems »
Timothy Mann · Sven Gowal · András György · Huiyi Hu · Ray Jiang · Balaji Lakshminarayanan · Prav Srinivasan -
2019 Oral: Hybrid Models with Deep and Invertible Features »
Eric Nalisnick · Akihiro Matsukawa · Yee-Whye Teh · Dilan Gorur · Balaji Lakshminarayanan -
2019 Poster: Hybrid Models with Deep and Invertible Features »
Eric Nalisnick · Akihiro Matsukawa · Yee-Whye Teh · Dilan Gorur · Balaji Lakshminarayanan -
2017 Workshop: Implicit Generative Models »
Rajesh Ranganath · Ian Goodfellow · Dustin Tran · David Blei · Balaji Lakshminarayanan · Shakir Mohamed