More from the Same Authors

• 2021 : Understanding and Improving Robustness of VisionTransformers through patch-based NegativeAugmentation »
  Yao Qin · Chiyuan Zhang · Ting Chen · Balaji Lakshminarayanan · Alex Beutel · Xuezhi Wang
• 2021 : BEDS-Bench: Behavior of EHR-models under Distributional Shift - A Benchmark »
  Anand Avati · Martin Seneviratne · Yuan Xue · Zhen Xu · Balaji Lakshminarayanan · Andrew Dai
• 2021 : Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift »
  Kehang Han · Balaji Lakshminarayanan · Jeremiah Liu
• 2021 : Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning »
  Zachary Nado · Neil Band · Mark Collier · Josip Djolonga · Mike Dusenberry · Sebastian Farquhar · Qixuan Feng · Angelos Filos · Marton Havasi · Rodolphe Jenatton · Ghassen Jerfel · Jeremiah Liu · Zelda Mariet · Jeremy Nixon · Shreyas Padhy · Jie Ren · Tim G. J. Rudner · Yeming Wen · Florian Wenzel · Kevin Murphy · D. Sculley · Balaji Lakshminarayanan · Jasper Snoek · Yarin Gal · Dustin Tran
• 2021 : Deep Classifiers with Label Noise Modeling and Distance Awareness »
  Vincent Fortuin · Mark Collier · Florian Wenzel · James Allingham · Jeremiah Liu · Dustin Tran · Balaji Lakshminarayanan · Jesse Berent · Rodolphe Jenatton · Effrosyni Kokiopoulou
• 2022 : Out-of-Distribution Detection and Selective Generation for Conditional Language Models »
  Jie Ren · Jiaming Luo · Yao Zhao · Kundan Krishna · Mohammad Saleh · Balaji Lakshminarayanan · Peter Liu
• 2022 : Reliability benchmarks for image segmentation »
  Estefany Kelly Buchanan · Michael Dusenberry · Jie Ren · Kevin Murphy · Balaji Lakshminarayanan · Dustin Tran
• 2022 : Pushing the Accuracy-Fairness Tradeoff Frontier with Introspective Self-play »
  Jeremiah Liu · Krishnamurthy Dvijotham · Jihyeon Lee · Quan Yuan · Martin Strobel · Balaji Lakshminarayanan · Deepak Ramachandran
• 2022 : Improving Zero-shot Generalization and Robustness of Multi-modal Models »
  Yunhao Ge · Jie Ren · Ming-Hsuan Yang · Yuxiao Wang · Andrew Gallagher · Hartwig Adam · Laurent Itti · Balaji Lakshminarayanan · Jiaping Zhao
• 2022 : Improving the Robustness of Conditional Language Models by Detecting and Removing Input Noise »
  Kundan Krishna · Yao Zhao · Jie Ren · Balaji Lakshminarayanan · Jiaming Luo · Mohammad Saleh · Peter Liu
• 2022 : Out-of-Distribution Detection and Selective Generation for Conditional Language Models »
  Jie Ren · Jiaming Luo · Yao Zhao · Kundan Krishna · Mohammad Saleh · Balaji Lakshminarayanan · Peter Liu
• 2022 Poster: Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation »
  Yao Qin · Chiyuan Zhang · Ting Chen · Balaji Lakshminarayanan · Alex Beutel · Xuezhi Wang
• 2021 Poster: Exploring the Limits of Out-of-Distribution Detection »
  Stanislav Fort · Jie Ren · Balaji Lakshminarayanan
• 2021 Poster: Soft Calibration Objectives for Neural Networks »
  Archit Karandikar · Nicholas Cain · Dustin Tran · Balaji Lakshminarayanan · Jonathon Shlens · Michael Mozer · Becca Roelofs
• 2020 Poster: Bayesian Deep Ensembles via the Neural Tangent Kernel »
  Bobby He · Balaji Lakshminarayanan · Yee Whye Teh
• 2020 Poster: Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness »
  Jeremiah Liu · Zi Lin · Shreyas Padhy · Dustin Tran · Tania Bedrax Weiss · Balaji Lakshminarayanan
• 2020 Tutorial: (Track2) Practical Uncertainty Estimation and Out-of-Distribution Robustness in Deep Learning Q&A »
  Dustin Tran · Balaji Lakshminarayanan · Jasper Snoek
• 2020 Tutorial: (Track2) Practical Uncertainty Estimation and Out-of-Distribution Robustness in Deep Learning »
  Dustin Tran · Balaji Lakshminarayanan · Jasper Snoek
• 2019 Poster: Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift »
  Jasper Snoek · Yaniv Ovadia · Emily Fertig · Balaji Lakshminarayanan · Sebastian Nowozin · D. Sculley · Joshua Dillon · Jie Ren · Zachary Nado
• 2019 Poster: Likelihood Ratios for Out-of-Distribution Detection »
  Jie Ren · Peter Liu · Emily Fertig · Jasper Snoek · Ryan Poplin · Mark Depristo · Joshua Dillon · Balaji Lakshminarayanan
• 2017 Poster: Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles »
  Balaji Lakshminarayanan · Alexander Pritzel · Charles Blundell
• 2017 Spotlight: Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles »
  Balaji Lakshminarayanan · Alexander Pritzel · Charles Blundell
• 2015 : Mondrian Forests for Large-Scale regression when uncertainty matters »
  Balaji Lakshminarayanan
• 2014 Poster: Distributed Bayesian Posterior Sampling via Moment Sharing »
  Minjie Xu · Balaji Lakshminarayanan · Yee Whye Teh · Jun Zhu · Bo Zhang
• 2014 Poster: Mondrian Forests: Efficient Online Random Forests »
  Balaji Lakshminarayanan · Daniel Roy · Yee Whye Teh