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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

19 May 2017
Alex Kendall
Y. Gal
R. Cipolla
    3DH
ArXivPDFHTML

Papers citing "Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics"

50 / 1,298 papers shown
Title
Combinatorial Optimization for Panoptic Segmentation: A Fully
  Differentiable Approach
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach
Ahmed Abbas
Paul Swoboda
27
14
0
06 Jun 2021
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task
  Learning
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning
Yuyan Wang
Xuezhi Wang
Alex Beutel
Flavien Prost
Jilin Chen
Ed H. Chi
FaML
27
47
0
04 Jun 2021
Event Classification with Multi-step Machine Learning
Event Classification with Multi-step Machine Learning
M. Saito
T. Kishimoto
Yuya Kaneta
Taichi Itoh
Yoshiaki Umeda
J. Tanaka
Y. Iiyama
R. Sawada
K. Terashi
19
1
0
04 Jun 2021
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation
  Task
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task
Darwin Saire
Adín Ramirez Rivera
28
5
0
28 May 2021
Permutation invariance and uncertainty in multitemporal image
  super-resolution
Permutation invariance and uncertainty in multitemporal image super-resolution
D. Valsesia
E. Magli
OOD
SupR
6
35
0
26 May 2021
Puck localization and multi-task event recognition in broadcast hockey
  videos
Puck localization and multi-task event recognition in broadcast hockey videos
Kanav Vats
M. Fani
David A Clausi
John S. Zelek
15
12
0
21 May 2021
Intra-Model Collaborative Learning of Neural Networks
Intra-Model Collaborative Learning of Neural Networks
Shijie Fang
Tong Lin
19
2
0
20 May 2021
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning
  Framework for Human Activity Recognition
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition
Zekai Chen
Xiao Zhang
Haochao Ying
38
11
0
18 May 2021
MUSER: MUltimodal Stress Detection using Emotion Recognition as an
  Auxiliary Task
MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task
Yiqun Yao
Michalis Papakostas
Mihai Burzo
M. Abouelenien
Rada Mihalcea
34
16
0
17 May 2021
Learning to Relate Depth and Semantics for Unsupervised Domain
  Adaptation
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
Suman Saha
Anton Obukhov
D. Paudel
Menelaos Kanakis
Yuhua Chen
Stamatios Georgoulis
Luc Van Gool
OOD
39
55
0
17 May 2021
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial
  Representation
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
Mahdi Pourmirzaei
G. Montazer
Farzaneh Esmaili
CVBM
29
26
0
13 May 2021
Return-based Scaling: Yet Another Normalisation Trick for Deep RL
Return-based Scaling: Yet Another Normalisation Trick for Deep RL
Tom Schaul
Georg Ostrovski
Iurii Kemaev
Diana Borsa
15
19
0
11 May 2021
Home Action Genome: Cooperative Compositional Action Understanding
Home Action Genome: Cooperative Compositional Action Understanding
Nishant Rai
Haofeng Chen
Jingwei Ji
Rishi Desai
Kazuki Kozuka
Shun Ishizaka
Ehsan Adeli
Juan Carlos Niebles
29
73
0
11 May 2021
HyperHyperNetworks for the Design of Antenna Arrays
HyperHyperNetworks for the Design of Antenna Arrays
Shahar Lutati
Lior Wolf
24
3
0
09 May 2021
SpeechNet: A Universal Modularized Model for Speech Processing Tasks
SpeechNet: A Universal Modularized Model for Speech Processing Tasks
Yi-Chen Chen
Po-Han Chi
Shu-Wen Yang
Kai-Wei Chang
Jheng-hao Lin
Sung-Feng Huang
Da-Rong Liu
Chi-Liang Liu
Cheng-Kuang Lee
Hung-yi Lee
MoE
29
17
0
07 May 2021
Joint Registration and Segmentation via Multi-Task Learning for Adaptive
  Radiotherapy of Prostate Cancer
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer
M. Elmahdy
Laurens Beljaards
Sahar Yousefi
Hessam Sokooti
F. Verbeek
U. A. van der Heide
Marius Staring
29
20
0
05 May 2021
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar
  Segmentations on Unbalanced Atrial Targets
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets
Jun Chen
Guang Yang
H. Khan
Heye Zhang
Yanping Zhang
Shu Zhao
R. Mohiaddin
T. Wong
D. Firmin
J. Keegan
GAN
MedIm
22
52
0
01 May 2021
Center Prediction Loss for Re-identification
Center Prediction Loss for Re-identification
L. Yang
Yunlong Wang
Lingqiao Liu
Peng Wang
Lu Chi
Zehuan Yuan
Changhu Wang
Yanning Zhang
VLM
27
5
0
30 Apr 2021
Adversarial Multi-task Learning Enhanced Physics-informed Neural
  Networks for Solving Partial Differential Equations
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations
Pongpisit Thanasutives
M. Numao
Ken-ichi Fukui
AI4CE
30
24
0
29 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI
  Safety
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
13
58
0
29 Apr 2021
A First Look: Towards Explainable TextVQA Models via Visual and Textual
  Explanations
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations
Varun Nagaraj Rao
Xingjian Zhen
K. Hovsepian
Mingwei Shen
37
18
0
29 Apr 2021
Exploring Relational Context for Multi-Task Dense Prediction
Exploring Relational Context for Multi-Task Dense Prediction
David Brüggemann
Menelaos Kanakis
Anton Obukhov
Stamatios Georgoulis
Luc Van Gool
46
74
0
28 Apr 2021
Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings
Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings
U. Sarawgi
Rishab Khincha
W. Zulfikar
Satrajit S. Ghosh
Pattie Maes
UQCV
25
7
0
21 Apr 2021
FIERY: Future Instance Prediction in Bird's-Eye View from Surround
  Monocular Cameras
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
Anthony Hu
Zak Murez
Nikhil C. Mohan
Sofía Dudas
Jeffrey Hawke
Vijay Badrinarayanan
R. Cipolla
Alex Kendall
142
254
0
21 Apr 2021
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor
  Based on Multi-Task Adversarial Training
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training
Jian Ma
Shu-Yi Xie
Haiqing Yang
Lian-Xin Jiang
Mengyuan Zhou
Xiaoyi Ruan
Yang Mo
11
2
0
21 Apr 2021
A Multi-Task Deep Learning Framework for Building Footprint Segmentation
A Multi-Task Deep Learning Framework for Building Footprint Segmentation
Burak Ekim
Elif Sertel
23
2
0
19 Apr 2021
Multi-person Implicit Reconstruction from a Single Image
Multi-person Implicit Reconstruction from a Single Image
A. Mustafa
Akin Caliskan
Lourdes Agapito
A. Hilton
3DH
24
16
0
19 Apr 2021
Self-Paced Uncertainty Estimation for One-shot Person Re-Identification
Self-Paced Uncertainty Estimation for One-shot Person Re-Identification
Yulin Zhang
Bo Ma
Longyao Liu
Xin Yi
30
2
0
19 Apr 2021
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer
Jiaxin Cheng
Ayush Jaiswal
Yue Wu
P. Natarajan
Premkumar Natarajan
96
44
0
18 Apr 2021
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation
Suraj Mishra
Danny Chen
Sharon Hu
32
6
0
17 Apr 2021
Adaptive Intermediate Representations for Video Understanding
Adaptive Intermediate Representations for Video Understanding
Juhana Kangaspunta
A. Piergiovanni
Rico Jonschkowski
Michael S. Ryoo
A. Angelova
26
3
0
14 Apr 2021
Machine-learned 3D Building Vectorization from Satellite Imagery
Machine-learned 3D Building Vectorization from Satellite Imagery
Yi Wang
Stefano Zorzi
K. Bittner
3DPC
19
25
0
13 Apr 2021
Improving Online Performance Prediction for Semantic Segmentation
Improving Online Performance Prediction for Semantic Segmentation
Marvin Klingner
Andreas Bär
Marcel A. Mross
Tim Fingscheidt
38
4
0
12 Apr 2021
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround
  View Fisheye Cameras
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras
Varun Ravi Kumar
Marvin Klingner
S. Yogamani
Markus Bach
Stefan Milz
Tim Fingscheidt
Patrick Mäder
MDE
55
37
0
09 Apr 2021
Panoptic Segmentation Forecasting
Panoptic Segmentation Forecasting
Colin Graber
Grace Tsai
Michael Firman
Gabriel J. Brostow
Alex Schwing
41
12
0
08 Apr 2021
Geometry-based Distance Decomposition for Monocular 3D Object Detection
Geometry-based Distance Decomposition for Monocular 3D Object Detection
Xuepeng Shi
Qianru Ye
Xiaozhi Chen
Chuangrong Chen
Zhixiang Chen
Tae-Kyun Kim
22
135
0
08 Apr 2021
SiT: Self-supervised vIsion Transformer
SiT: Self-supervised vIsion Transformer
Sara Atito Ali Ahmed
Muhammad Awais
J. Kittler
ViT
39
139
0
08 Apr 2021
SOLD2: Self-supervised Occlusion-aware Line Description and Detection
SOLD2: Self-supervised Occlusion-aware Line Description and Detection
Rémi Pautrat
Juan-Ting Lin
Viktor Larsson
Martin R. Oswald
Marc Pollefeys
37
80
0
07 Apr 2021
Uncertainty-aware Joint Salient Object and Camouflaged Object Detection
Uncertainty-aware Joint Salient Object and Camouflaged Object Detection
Aixuan Li
Jing Zhang
Yun-Qiu Lv
Bowen Liu
Tong Zhang
Yuchao Dai
17
210
0
06 Apr 2021
Objects are Different: Flexible Monocular 3D Object Detection
Objects are Different: Flexible Monocular 3D Object Detection
Yunpeng Zhang
Jiwen Lu
Jie Zhou
3DPC
33
255
0
06 Apr 2021
Conversational Question Answering over Knowledge Graphs with Transformer
  and Graph Attention Networks
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks
Endri Kacupaj
Joan Plepi
Kuldeep Singh
Harsh Thakkar
Jens Lehmann
M. Maleshkova
LMTD
GNN
41
53
0
04 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
46
130
0
01 Apr 2021
Dynamically Modelling Heterogeneous Higher-Order Interactions for
  Malicious Behavior Detection in Event Logs
Dynamically Modelling Heterogeneous Higher-Order Interactions for Malicious Behavior Detection in Event Logs
Corentin Larroche
J. Mazel
Stéphan Clémençon
19
2
0
29 Mar 2021
Self-Supervised Learning in Multi-Task Graphs through Iterative
  Consensus Shift
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift
Emanuela Haller
Elena Burceanu
Marius Leordeanu
SSL
27
2
0
26 Mar 2021
Universal Representation Learning from Multiple Domains for Few-shot
  Classification
Universal Representation Learning from Multiple Domains for Few-shot Classification
Weihong Li
Xialei Liu
Hakan Bilen
SSL
OOD
VLM
30
84
0
25 Mar 2021
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware
  Regression
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
Wanhua Li
Xiaoke Huang
Jiwen Lu
Jianjiang Feng
Jie Zhou
UQCV
34
62
0
25 Mar 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning
Scalable Pareto Front Approximation for Deep Multi-Objective Learning
Michael Ruchte
Josif Grabocka
32
58
0
24 Mar 2021
Multimodal Motion Prediction with Stacked Transformers
Multimodal Motion Prediction with Stacked Transformers
Yicheng Liu
Jinghuai Zhang
Liangji Fang
Qinhong Jiang
Bolei Zhou
30
348
0
22 Mar 2021
Stereo CenterNet based 3D Object Detection for Autonomous Driving
Stereo CenterNet based 3D Object Detection for Autonomous Driving
Yuguang Shi
Yu Guo
Zhenqiang Mi
Xinjie Li
3DPC
30
43
0
20 Mar 2021
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light
  Fields via Multi-Task Deep Learning
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning
Maximilian Schambach
Jiayang Shi
M. Heizmann
19
1
0
18 Mar 2021
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