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1706.03475
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Confident Multiple Choice Learning
International Conference on Machine Learning (ICML), 2017
12 June 2017
Kimin Lee
Changho Hwang
KyoungSoo Park
Jinwoo Shin
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Papers citing
"Confident Multiple Choice Learning"
33 / 33 papers shown
Conditional Distribution Quantization in Machine Learning
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Sylvain Delattre
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Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
Neural Information Processing Systems (NeurIPS), 2024
David Perera
Victor Letzelter
Théo Mariotte
Adrien Cortés
Mickaël Chen
S. Essid
Ga¨el Richard
479
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20 Jan 2025
Annealed Winner-Takes-All for Motion Forecasting
IEEE International Conference on Robotics and Automation (ICRA), 2024
Yihong Xu
Victor Letzelter
Mickaël Chen
Éloi Zablocki
Matthieu Cord
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17 Sep 2024
Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference
Neural Information Processing Systems (NeurIPS), 2024
Shayan Shekarforoush
David B. Lindell
Marcus A. Brubaker
David J. Fleet
231
6
0
15 Jun 2024
Winner-takes-all learners are geometry-aware conditional density estimators
International Conference on Machine Learning (ICML), 2024
Victor Letzelter
David Perera
Cédric Rommel
Mathieu Fontaine
S. Essid
Gael Richard
Patrick Pérez
270
6
0
07 Jun 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
E. Nehme
Rotem Mulayoff
T. Michaeli
UQCV
322
4
0
24 May 2024
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jihyeon Seong
Jungmin Kim
Jaesik Choi
AI4TS
275
1
0
14 Mar 2024
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions
David D. Nguyen
David Liebowitz
Surya Nepal
S. Kanhere
OOD
UQCV
198
1
0
18 Dec 2023
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
Cédric Rommel
Victor Letzelter
Nermin Samet
Renaud Marlet
Matthieu Cord
Patrick Pérez
Eduardo Valle
3DH
250
7
0
11 Dec 2023
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
Neural Information Processing Systems (NeurIPS), 2023
Victor Letzelter
Mathieu Fontaine
Mickaël Chen
Patrick Pérez
S. Essid
Ga¨el Richard
363
14
0
02 Nov 2023
Masked Vector Quantization
David D. Nguyen
David Leibowitz
Surya Nepal
S. Kanhere
MQ
217
0
0
16 Jan 2023
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Sam Powers
Eliot Xing
Abhinav Gupta
KELM
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336
8
0
31 Dec 2022
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
International Conference on Learning Representations (ICLR), 2022
Yifu Yuan
Jianye Hao
Fei Ni
Yao Mu
Yan Zheng
Yujing Hu
Jinyi Liu
Yingfeng Chen
Changjie Fan
265
17
0
02 Oct 2022
Residual Mixture of Experts
Lemeng Wu
Xiyang Dai
Yinpeng Chen
Dongdong Chen
Xiyang Dai
Lu Yuan
MoE
420
48
0
20 Apr 2022
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
Jongheon Jeong
Sejun Park
Minkyu Kim
Heung-Chang Lee
Do-Guk Kim
Jinwoo Shin
AAML
243
65
0
17 Nov 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu
Jiandong Ding
Lu Zhang
Shuigeng Zhou
330
32
0
26 Oct 2021
k
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Folden:
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-Fold Ensemble for Out-Of-Distribution Detection
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Xiaoya Li
Jiwei Li
Xiaofei Sun
Chun Fan
Tianwei Zhang
Leilei Gan
Yuxian Meng
Jun Zhang
FedML
OODD
262
13
0
29 Aug 2021
Auxiliary Class Based Multiple Choice Learning
Sihwan Kim
Dae Yon Jung
T. Park
230
1
0
06 Aug 2021
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
Neural Information Processing Systems (NeurIPS), 2021
Jinyoung Choi
Bohyung Han
287
26
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15 Jul 2021
Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
Computer Vision and Pattern Recognition (CVPR), 2021
Hao Zhou
Chongyang Zhang
Yan Luo
Yanjun Chen
Chuanping Hu
233
57
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31 Mar 2021
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation
Computer Vision and Pattern Recognition (CVPR), 2021
Gengcong Yang
Jingyi Zhang
Yong Zhang
Baoyuan Wu
Yujiu Yang
269
69
0
09 Mar 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Information Fusion (Inf. Fusion), 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
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Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
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2,461
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12 Nov 2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Younggyo Seo
Kimin Lee
I. Clavera
Thanard Kurutach
Jinwoo Shin
Pieter Abbeel
302
46
0
26 Oct 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Neural Information Processing Systems (NeurIPS), 2020
Jihoon Tack
Sangwoo Mo
Jongheon Jeong
Jinwoo Shin
OODD
399
712
0
16 Jul 2020
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Nuno C. Garcia
Sarah Adel Bargal
Vitaly Ablavsky
Pietro Morerio
Vittorio Murino
Stan Sclaroff
190
55
0
23 Dec 2019
Towards Oracle Knowledge Distillation with Neural Architecture Search
AAAI Conference on Artificial Intelligence (AAAI), 2019
Minsoo Kang
Jonghwan Mun
Bohyung Han
FedML
367
47
0
29 Nov 2019
Deep ensemble network with explicit complementary model for accuracy-balanced classification
Journal of KIISE (J. KIISE), 2019
Dohyun Kim
Kyeorye Lee
Jiyeon Kim
Junseok Kwon
Joongheon Kim
148
1
0
10 Aug 2019
Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off
Yukun Ding
Jinglan Liu
Jinjun Xiong
Yiyu Shi
214
14
0
05 Mar 2019
Anomaly Detection With Multiple-Hypotheses Predictions
D. Nguyen
Zhongyu Lou
Michael Klar
Thomas Brox
186
1
0
31 Oct 2018
End-to-End Content and Plan Selection for Data-to-Text Generation
Sebastian Gehrmann
Falcon Z. Dai
H. Elder
Alexander M. Rush
265
72
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
687
2,486
0
10 Jul 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
675
934
0
26 Nov 2017
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Christian Rupprecht
Iro Laina
R. DiPietro
Maximilian Baust
Federico Tombari
Nassir Navab
Gregory D. Hager
432
210
0
01 Dec 2016
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