Confident Multiple Choice Learning

Confident Multiple Choice Learning

12 June 2017

Papers citing "Confident Multiple Choice Learning"

15 / 15 papers shown

Title
Conditional Distribution Quantization in Machine Learning Blaise Delattre Sylvain Delattre Alexandre Verine Alexandre Allauzen 53 0 0 11 Feb 2025
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 77 3 0 20 Jan 2025
Annealed Winner-Takes-All for Motion Forecasting Yihong Xu Victor Letzelter Mickaël Chen Éloi Zablocki Matthieu Cord 200 1 0 17 Sep 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees E. Nehme Rotem Mulayoff T. Michaeli UQCV 48 2 0 24 May 2024
Masked Vector Quantization David D. Nguyen David Leibowitz Surya Nepal S. Kanhere MQ 26 0 0 16 Jan 2023
Residual Mixture of Experts Lemeng Wu Mengchen Liu Yinpeng Chen Dongdong Chen Xiyang Dai Lu Yuan MoE 27 36 0 20 Apr 2022
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples Yi Xu Jiandong Ding Lu Zhang Shuigeng Zhou 39 32 0 26 Oct 2021
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation Gengcong Yang Jingyi Zhang Yong Zhang Baoyuan Wu Yujiu Yang 25 67 0 09 Mar 2021
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 11 588 0 16 Jul 2020
Towards Oracle Knowledge Distillation with Neural Architecture Search Minsoo Kang Jonghwan Mun Bohyung Han FedML 38 44 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 8 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 28 70 0 10 Oct 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 23 2,004 0 10 Jul 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 70 873 0 26 Nov 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016