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Towards Stochastic Neural Networks via Inductive Wasserstein Embeddings
Balaji Lakshminarayanan · Jasper Snoek
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Balaji Lakshminarayanan (Google Brain)
Jasper Snoek (Google Brain)
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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 · 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 -
2023 : Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models »
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2023 Poster: A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models »
James Allingham · JIE REN · Michael Dusenberry · Xiuye Gu · Yin Cui · Dustin Tran · Jeremiah Liu · Balaji Lakshminarayanan -
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 · Sharon 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 »
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2019 Workshop: Uncertainty and Robustness in Deep Learning »
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2019 Oral: Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems »
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2019 Oral: Hybrid Models with Deep and Invertible Features »
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2019 Poster: Hybrid Models with Deep and Invertible Features »
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