Confident Multiple Choice Learning

12 June 2017

Papers citing "Confident Multiple Choice Learning"

10 / 10 papers shown

Title
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing David Perera Victor Letzelter Théo Mariotte Adrien Cortés Mickaël Chen S. Essid Ga¨el Richard 66 2 0 20 Jan 2025
Annealed Winner-Takes-All for Motion Forecasting Yihong Xu Victor Letzelter Mickaël Chen Éloi Zablocki Matthieu Cord 128 1 0 17 Sep 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees E. Nehme Rotem Mulayoff T. Michaeli UQCV 42 2 0 24 May 2024
Masked Vector Quantization David D. Nguyen David Leibowitz Surya Nepal S. Kanhere MQ 13 0 0 16 Jan 2023
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples Yi Xu Jiandong Ding Lu Zhang Shuigeng Zhou 33 32 0 26 Oct 2021
Towards Oracle Knowledge Distillation with Neural Architecture Search Minsoo Kang Jonghwan Mun Bohyung Han FedML 28 43 0 29 Nov 2019
Deep ensemble network with explicit complementary model for accuracy-balanced classification Dohyun Kim Kyeorye Lee Jiyeon Kim Junseok Kwon Joongheon Kim 6 0 0 10 Aug 2019
End-to-End Content and Plan Selection for Data-to-Text Generation Sebastian Gehrmann Falcon Z. Dai H. Elder Alexander M. Rush 18 70 0 10 Oct 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 23 870 0 26 Nov 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016