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Poster
Wed 10:45 Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration
Meelis Kull · Miquel Perello Nieto · Markus Kängsepp · Telmo Silva Filho · Hao Song · Peter Flach
Poster
Wed 10:45 Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
Axel Brando · Jose A Rodriguez · Jordi Vitria · Alberto Rubio Muñoz
Poster
Wed 10:45 Likelihood Ratios for Out-of-Distribution Detection
Jie Ren · Peter Liu · Emily Fertig · Jasper Snoek · Ryan Poplin · Mark Depristo · Joshua Dillon · Balaji Lakshminarayanan
Poster
Thu 17:00 Attribution-Based Confidence Metric For Deep Neural Networks
Susmit Jha · Sunny Raj · Steven Fernandes · Sumit K Jha · Somesh Jha · Brian Jalaian · Gunjan Verma · Ananthram Swami
Poster
Tue 17:30 Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
Atilim Gunes Baydin · Lei Shao · Wahid Bhimji · Lukas Heinrich · Saeid Naderiparizi · Andreas Munk · Jialin Liu · Bradley Gram-Hansen · Gilles Louppe · Lawrence Meadows · Philip Torr · Victor Lee · Kyle Cranmer · Mr. Prabhat · Frank Wood
Poster
Wed 10:45 Addressing Failure Prediction by Learning Model Confidence
Charles Corbière · Nicolas THOME · Avner Bar-Hen · Matthieu Cord · Patrick Pérez