Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles

24 June 2016

Papers citing "Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles"

38 / 38 papers shown

Title
Conditional Distribution Quantization in Machine Learning Blaise Delattre Sylvain Delattre Alexandre Verine Alexandre Allauzen 53 0 0 11 Feb 2025
Target-driven Self-Distillation for Partial Observed Trajectories Forecasting Pengfei Zhu Peng Shu Mengshi Qi Liang Liu Huadong Ma 76 0 0 28 Jan 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 74 3 0 20 Jan 2025
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting Adrien Lafage Mathieu Barbier Gianni Franchi David Filliat 45 3 0 08 Jan 2025
Annealed Winner-Takes-All for Motion Forecasting Yihong Xu Victor Letzelter Mickaël Chen Éloi Zablocki Matthieu Cord 185 1 0 17 Sep 2024
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding Mingkun Wang Xiaoguang Ren Ruochun Jin Minglong Li Xiaochuan Zhang Changqian Yu Mingxu Wang Wenjing Yang 48 1 0 20 Jun 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees E. Nehme Rotem Mulayoff T. Michaeli UQCV 48 2 0 24 May 2024
Deep Negative Correlation Classification Le Zhang Qibin Hou Yun-Hai Liu Jiawang Bian Xun Xu Qiufeng Wang Ce Zhu 32 1 0 14 Dec 2022
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters Junde Wu Huihui Fang Yehui Yang Yuanpei Liu Jing Gao Lixin Duan Weihua Yang Yanwu Xu 16 2 0 01 Dec 2022
MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views H. Zeng Xin Yu Jiaxu Miao Yezhou Yang 3DV 39 8 0 19 Jul 2022
Residual Mixture of Experts Lemeng Wu Mengchen Liu Yinpeng Chen Dongdong Chen Xiyang Dai Lu Yuan MoE 22 36 0 20 Apr 2022
Bootstrap Motion Forecasting With Self-Consistent Constraints Maosheng Ye Jiamiao Xu Xun Xu Tengfei Wang Tongyi Cao Qifeng Chen 36 19 0 12 Apr 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 30 18 0 08 Feb 2022
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation Yi Li Yiqun Duan Zhanghui Kuang Yimin Chen Wayne Zhang Xiaomeng Li 30 72 0 14 Dec 2021
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels Sun-Beom Hong A. Bonkhoff Andrew Hoopes Martin Bretzner M. Schirmer A. Giese Adrian Dalca Polina Golland N. Rost UQCV 30 7 0 13 Dec 2021
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
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving Jianbang Liu Xinyu Mao Yuqi Fang Delong Zhu Max Q.-H. Meng 27 57 0 20 Oct 2021
Using Soft Labels to Model Uncertainty in Medical Image Segmentation Joao Lourencco Silva Arlindo L. Oliveira UQCV 24 19 0 26 Sep 2021
Class-Incremental Experience Replay for Continual Learning under Concept Drift Lukasz Korycki Bartosz Krawczyk 23 31 0 24 Apr 2021
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction Sriram Narayanan Ramin Moslemi Francesco Pittaluga Buyu Liu Manmohan Chandraker 42 56 0 16 Apr 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
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 56 51 0 14 Jan 2021
Generalized Negative Correlation Learning for Deep Ensembling Sebastian Buschjäger Lukas Pfahler K. Morik FedML BDL UQCV 11 17 0 05 Nov 2020
Diverse Ensembles Improve Calibration Asa Cooper Stickland Iain Murray UQCV FedML 27 26 0 08 Jul 2020
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models A. Berlati Oliver Scheel Luigi Di Stefano Federico Tombari 26 5 0 10 Mar 2020
Towards Oracle Knowledge Distillation with Neural Architecture Search Minsoo Kang Jonghwan Mun Bohyung Han FedML 38 44 0 29 Nov 2019
Diverse Trajectory Forecasting with Determinantal Point Processes Ye Yuan Kris Kitani 28 133 0 11 Jul 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction Osama Makansi Eddy Ilg Özgün Çiçek Thomas Brox 36 192 0 09 Jun 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 27 88 0 30 May 2019
Mixture Models for Diverse Machine Translation: Tricks of the Trade T. Shen Myle Ott Michael Auli MarcÁurelio Ranzato MoE 33 148 0 20 Feb 2019
Co-regularized Alignment for Unsupervised Domain Adaptation Abhishek Kumar P. Sattigeri Kahini Wadhawan Leonid Karlinsky Rogerio Feris William T. Freeman G. Wornell OOD 16 157 0 13 Nov 2018
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
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective Apratim Bhattacharyya Bernt Schiele Mario Fritz 28 113 0 20 Jun 2018
A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl Bernardino Romera-Paredes Clemens Meyer J. Fauw J. Ledsam Klaus H. Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger UQCV SSeg 47 568 0 13 Jun 2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs T. Garipov Pavel Izmailov Dmitrii Podoprikhin Dmitry Vetrov A. Wilson UQCV 25 734 0 27 Feb 2018
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis Eunbyung Park Jimei Yang Ersin Yumer Duygu Ceylan Alexander C. Berg 17 286 0 08 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Message Passing Multi-Agent GANs Arna Ghosh Viveka Kulharia Vinay P. Namboodiri AI4CE GAN 23 18 0 05 Dec 2016