Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets

14 May 2021

Papers citing "Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets"

6 / 6 papers shown

Title
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex Yasushi Esaki Akihiro Nakamura Keisuke Kawano Ryoko Tokuhisa Takuro Kutsuna 38 0 0 21 Feb 2024
Shifts 2.0: Extending The Dataset of Real Distributional Shifts A. Malinin A. Athanasopoulos M. Barakovic Meritxell Bach Cuadra Mark J. F. Gales ... Francesco La Rosa Eli Sivena V. Tsarsitalidis Efi Tsompopoulou E. Volf OOD 22 28 0 30 Jun 2022
Self-Distribution Distillation: Efficient Uncertainty Estimation Yassir Fathullah Mark J. F. Gales UQCV 14 11 0 15 Mar 2022
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance Carel van Niekerk A. Malinin Christian Geishauser Michael Heck Hsien-chin Lin Nurul Lubis Shutong Feng Milica Gavsić 18 9 0 09 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 279 9,136 0 06 Jun 2015