ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1703.04977
  4. Cited By
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
v1v2 (latest)

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

15 March 2017
Alex Kendall
Y. Gal
    BDLOODUDUQCVPER
ArXiv (abs)PDFHTML

Papers citing "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

32 / 2,432 papers shown
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with
  Bayesian Deep Learning
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
T. Vandal
E. Kodra
Jennifer Dy
S. Ganguly
R. Nemani
A. Ganguly
UQCVBDL
130
56
0
13 Feb 2018
Answerer in Questioner's Mind: Information Theoretic Approach to
  Goal-Oriented Visual Dialog
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
Sang-Woo Lee
Y. Heo
Byoung-Tak Zhang
215
33
0
12 Feb 2018
Gradient conjugate priors and multi-layer neural networks
Gradient conjugate priors and multi-layer neural networks
P. Gurevich
Hannes Stuke
BDL
290
16
0
07 Feb 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate
  Modeling and Uncertainty Quantification
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification
Yinhao Zhu
N. Zabaras
UQCVBDL
334
691
0
21 Jan 2018
DropMax: Adaptive Variational Softmax
DropMax: Adaptive Variational SoftmaxNeural Information Processing Systems (NeurIPS), 2017
Haebeom Lee
Juho Lee
Saehoon Kim
Eunho Yang
Sung Ju Hwang
200
16
0
21 Dec 2017
Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural
  Networks
Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural Networks
Stefan Depeweg
José Miguel Hernández-Lobato
Steffen Udluft
Thomas Runkler
PERUD
95
8
0
10 Dec 2017
Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural
  Networks with Application to Pulmonary Nodule Detection
Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection
Onur Ozdemir
Benjamin Woodward
A. Berlin
UQCVMedIm
136
39
0
01 Dec 2017
Long-Term On-Board Prediction of People in Traffic Scenes under
  Uncertainty
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty
Apratim Bhattacharyya
Mario Fritz
Bernt Schiele
256
231
0
24 Nov 2017
Adversarial Phenomenon in the Eyes of Bayesian Deep Learning
Adversarial Phenomenon in the Eyes of Bayesian Deep Learning
Ambrish Rawat
Martin Wistuba
Maria-Irina Nicolae
BDLAAML
117
41
0
22 Nov 2017
"Dave...I can assure you...that it's going to be all right..." -- A
  definition, case for, and survey of algorithmic assurances in human-autonomy
  trust relationships
"Dave...I can assure you...that it's going to be all right..." -- A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships
Brett W. Israelsen
Nisar R. Ahmed
303
94
0
08 Nov 2017
Deep density networks and uncertainty in recommender systems
Deep density networks and uncertainty in recommender systems
Yoel Zeldes
Stavros Theodorakis
Efrat Solodnik
Aviv Rotman
Gil Chamiel
Dan Friedman
121
11
0
07 Nov 2017
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and
  Risk-sensitive Learning
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning
Stefan Depeweg
José Miguel Hernández-Lobato
Finale Doshi-Velez
Steffen Udluft
UQCVPERBDLUD
331
27
0
19 Oct 2017
Dropout Sampling for Robust Object Detection in Open-Set Conditions
Dropout Sampling for Robust Object Detection in Open-Set Conditions
Dimity Miller
Lachlan Nicholson
Feras Dayoub
Niko Sünderhauf
BDLUQCV
236
254
0
18 Oct 2017
On the Capacity of Face Representation
On the Capacity of Face Representation
Sixue Gong
Vishnu Boddeti
Anil K. Jain
CVBM
227
14
0
29 Sep 2017
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily
  Oriented 2D Images
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images
Benjamin Hou
Bishesh Khanal
A. Alansary
Jingyu Sun
A. Davidson
M. Rutherford
Joseph V. Hajnal
Daniel Rueckert
Ben Glocker
Bernhard Kainz
316
75
0
19 Sep 2017
DPC-Net: Deep Pose Correction for Visual Localization
DPC-Net: Deep Pose Correction for Visual Localization
Valentin Peretroukhin
Jonathan Kelly
186
50
0
10 Sep 2017
Deep and Confident Prediction for Time Series at Uber
Deep and Confident Prediction for Time Series at Uber
Lingxue Zhu
N. Laptev
BDLAI4TS
289
366
0
06 Sep 2017
Uncertainty-Aware Learning from Demonstration using Mixture Density
  Networks with Sampling-Free Variance Modeling
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling
Sungjoon Choi
Kyungjae Lee
Sungbin Lim
Songhwai Oh
199
109
0
03 Sep 2017
From Deterministic to Generative: Multi-Modal Stochastic RNNs for Video
  Captioning
From Deterministic to Generative: Multi-Modal Stochastic RNNs for Video CaptioningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2017
Jingkuan Song
Yuyu Guo
Lianli Gao
Xuelong Li
Alan Hanjalic
Heng Tao Shen
176
228
0
08 Aug 2017
3D Sketching using Multi-View Deep Volumetric Prediction
3D Sketching using Multi-View Deep Volumetric Prediction
J. Delanoy
Mathieu Aubry
Phillip Isola
Alexei A. Efros
Adrien Bousseau
3DV
268
131
0
26 Jul 2017
Deep Active Learning for Named Entity Recognition
Deep Active Learning for Named Entity Recognition
Yanyao Shen
Hyokun Yun
Zachary Chase Lipton
Y. Kronrod
Anima Anandkumar
HAI
413
471
0
19 Jul 2017
Uncertainty Decomposition in Bayesian Neural Networks with Latent
  Variables
Uncertainty Decomposition in Bayesian Neural Networks with Latent Variables
Stefan Depeweg
José Miguel Hernández-Lobato
Finale Doshi-Velez
Steffen Udluft
PERUQCVUDBDL
221
45
0
26 Jun 2017
Uncertainty-Aware Organ Classification for Surgical Data Science
  Applications in Laparoscopy
Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy
S. Moccia
Sebastian J. Wirkert
H. Kenngott
A. Vemuri
M. Apitz
Benjamin F. B. Mayer
E. De Momi
L. Mattos
L. Maier-Hein
153
53
0
21 Jun 2017
Robust and Efficient Transfer Learning with Hidden-Parameter Markov
  Decision Processes
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes
Taylor W. Killian
Samuel Daulton
George Konidaris
Finale Doshi-Velez
298
109
0
20 Jun 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural NetworksInternational Conference on Machine Learning (ICML), 2017
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
1.8K
6,982
0
14 Jun 2017
Bayesian LSTMs in medicine
Bayesian LSTMs in medicine
J. Westhuizen
Joan Lasenby
BDLOOD
111
17
0
05 Jun 2017
Concrete Dropout
Concrete Dropout
Y. Gal
Jiri Hron
Alex Kendall
BDLUQCV
639
643
0
22 May 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
536
3,642
0
19 May 2017
Geometric Loss Functions for Camera Pose Regression with Deep Learning
Geometric Loss Functions for Camera Pose Regression with Deep Learning
Alex Kendall
R. Cipolla
3DH
448
814
0
02 Apr 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
2.0K
12,190
0
19 Feb 2017
Robustly representing uncertainty in deep neural networks through
  sampling
Robustly representing uncertainty in deep neural networks through sampling
Patrick McClure
N. Kriegeskorte
UQCVBDLOOD
313
14
0
05 Nov 2016
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder
  Architectures for Scene Understanding
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
UQCVBDL
238
1,115
0
09 Nov 2015
Previous
123...474849
Page 49 of 49
Pageof 49