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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 / 1,300 papers shown
Title
Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word
Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word
Chao Zhang
Jaswanth K. Yella
Yu Huang
Xiaoye Qian
Sergei Petrov
A. Rzhetsky
Sthitie Bom
29
14
0
10 Nov 2021
Multi-Task Neural Processes
Multi-Task Neural Processes
Jiayi Shen
Xiantong Zhen
M. Worring
Ling Shao
BDL
24
8
0
10 Nov 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors
Variational Multi-Task Learning with Gumbel-Softmax Priors
Jiayi Shen
Xiantong Zhen
M. Worring
Ling Shao
18
27
0
09 Nov 2021
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation
  with uncertainty
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty
Giorgio Cantarini
Federico Figari Tomenotti
Nicoletta Noceti
Francesca Odone
3DH
19
12
0
02 Nov 2021
Solving Partial Differential Equations with Point Source Based on
  Physics-Informed Neural Networks
Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks
Xiang Huang
Hongsheng Liu
Beiji Shi
Zidong Wang
Kan Yang
...
Jing Zhou
Fan Yu
Bei Hua
Lei Chen
Bin Dong
19
20
0
02 Nov 2021
Skeleton-Based Mutually Assisted Interacted Object Localization and
  Human Action Recognition
Skeleton-Based Mutually Assisted Interacted Object Localization and Human Action Recognition
Liang Xu
Cuiling Lan
Wenjun Zeng
Cewu Lu
16
24
0
28 Oct 2021
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera
  Parameters
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters
Sai Shyam Chanduri
Zeeshan Khan Suri
Igor Vozniak
Christian Müller
MDE
34
12
0
27 Oct 2021
Conflict-Averse Gradient Descent for Multi-task Learning
Conflict-Averse Gradient Descent for Multi-task Learning
Bo Liu
Xingchao Liu
Xiaojie Jin
Peter Stone
Qiang Liu
47
298
0
26 Oct 2021
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting
Bohan Tang
Yiqi Zhong
Ulrich Neumann
G. Wang
Ya Zhang
Siheng Chen
13
24
0
26 Oct 2021
Multi-Faceted Hierarchical Multi-Task Learning for a Large Number of
  Tasks with Multi-dimensional Relations
Multi-Faceted Hierarchical Multi-Task Learning for a Large Number of Tasks with Multi-dimensional Relations
Junning Liu
Zijie Xia
Yu Lei
Xinjian Li
Xu Wang
23
2
0
26 Oct 2021
Simultaneous Perturbation Method for Multi-Task Weight Optimization in
  One-Shot Meta-Learning
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning
Andrei Boiarov
K. Khabarlak
Igor Yastrebov
44
0
0
25 Oct 2021
AutoMTL: A Programming Framework for Automating Efficient Multi-Task
  Learning
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning
Lijun Zhang
Xiao Liu
Hui Guan
25
21
0
25 Oct 2021
MOS: A Low Latency and Lightweight Framework for Face Detection,
  Landmark Localization, and Head Pose Estimation
MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation
Yepeng Liu
Zaiwang Gu
Shenghua Gao
Dong Wang
Yu Zeng
Jun Cheng
CVBM
29
3
0
21 Oct 2021
Cascaded Cross MLP-Mixer GANs for Cross-View Image Translation
Cascaded Cross MLP-Mixer GANs for Cross-View Image Translation
Bin Ren
Hao Tang
N. Sebe
35
30
0
19 Oct 2021
Domain Generalization through Audio-Visual Relative Norm Alignment in
  First Person Action Recognition
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition
M. Planamente
Chiara Plizzari
Emanuele Alberti
Barbara Caputo
EgoV
22
33
0
19 Oct 2021
Multi-Objective Loss Balancing for Physics-Informed Deep Learning
Multi-Objective Loss Balancing for Physics-Informed Deep Learning
Rafael Bischof
M. Kraus
PINN
AI4CE
35
93
0
19 Oct 2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for
  Efficient Distillation
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation
Sumanth Chennupati
Mohammad Mahdi Kamani
Zhongwei Cheng
Lin Chen
35
4
0
19 Oct 2021
Self-Supervised Monocular Depth Estimation with Internal Feature Fusion
Self-Supervised Monocular Depth Estimation with Internal Feature Fusion
Hang Zhou
David Greenwood
Sarah Taylor
SSL
MDE
19
110
0
18 Oct 2021
Speech Representation Learning Through Self-supervised Pretraining And
  Multi-task Finetuning
Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning
Yi-Chen Chen
Shu-Wen Yang
Cheng-Kuang Lee
Simon See
Hung-yi Lee
SSL
19
12
0
18 Oct 2021
Uncertainty-Aware Semi-Supervised Few Shot Segmentation
Uncertainty-Aware Semi-Supervised Few Shot Segmentation
Soopil Kim
Philip Chikontwe
Sang Hyun Park
21
14
0
18 Oct 2021
Pareto Navigation Gradient Descent: a First-Order Algorithm for
  Optimization in Pareto Set
Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set
Mao Ye
Qiang Liu
29
9
0
17 Oct 2021
Semi-supervised Multi-task Learning for Semantics and Depth
Semi-supervised Multi-task Learning for Semantics and Depth
Yufeng Wang
Yi-Hsuan Tsai
Wei-Chih Hung
Wenrui Ding
Shuo Liu
Ming-Hsuan Yang
33
18
0
14 Oct 2021
Dense Uncertainty Estimation
Dense Uncertainty Estimation
Jing Zhang
Yuchao Dai
Mochu Xiang
Deng-Ping Fan
Peyman Moghadam
Mingyi He
Christian J. Walder
Kaihao Zhang
Mehrtash Harandi
Nick Barnes
UQCV
BDL
58
11
0
13 Oct 2021
Balancing Average and Worst-case Accuracy in Multitask Learning
Balancing Average and Worst-case Accuracy in Multitask Learning
Paul Michel
Sebastian Ruder
Dani Yogatama
21
11
0
12 Oct 2021
Learning Temporally-Consistent Representations for Data-Efficient
  Reinforcement Learning
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning
Trevor A. McInroe
Lukas Schafer
Stefano V. Albrecht
OffRL
31
8
0
11 Oct 2021
Self-Evolutionary Optimization for Pareto Front Learning
Self-Evolutionary Optimization for Pareto Front Learning
Simyung Chang
Kiyoon Yoo
Jiho Jang
Nojun Kwak
44
3
0
07 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning
Learning Multi-Objective Curricula for Robotic Policy Learning
Jikun Kang
Miao Liu
Abhinav Gupta
C. Pal
Xue Liu
Jie Fu
42
4
0
06 Oct 2021
ClimateGAN: Raising Climate Change Awareness by Generating Images of
  Floods
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
Victor Schmidt
A. Luccioni
Mélisande Teng
Tianyu Zhang
Alexia Reynaud
...
Gautier Cosne
Adrien Juraver
V. Vardanyan
Alex Hernandez-Garcia
Yoshua Bengio
GAN
AI4CE
28
18
0
06 Oct 2021
See Yourself in Others: Attending Multiple Tasks for Own Failure
  Detection
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection
Bo Sun
Jiaxu Xing
Hermann Blum
Roland Siegwart
Cesar Cadena
41
12
0
06 Oct 2021
Fast Line Search for Multi-Task Learning
Fast Line Search for Multi-Task Learning
A. Filatov
D. Merkulov
24
0
0
02 Oct 2021
A Step Towards Efficient Evaluation of Complex Perception Tasks in
  Simulation
A Step Towards Efficient Evaluation of Complex Perception Tasks in Simulation
Jonathan Sadeghi
Blaine Rogers
James Gunn
Thomas Saunders
Sina Samangooei
P. Dokania
John Redford
41
8
0
28 Sep 2021
Improved optimization strategies for deep Multi-Task Networks
Improved optimization strategies for deep Multi-Task Networks
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
40
6
0
21 Sep 2021
Sequential Joint Shape and Pose Estimation of Vehicles with Application
  to Automatic Amodal Segmentation Labeling
Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling
Josephine Monica
Wei-Lun Chao
M. Campbell
6
1
0
20 Sep 2021
Multi-Task Learning in Natural Language Processing: An Overview
Multi-Task Learning in Natural Language Processing: An Overview
Shijie Chen
Yu Zhang
Qiang Yang
AIMat
46
99
0
19 Sep 2021
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium
  Segmentation on Cross-Domain Data
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data
Jun Chen
Heye Zhang
R. Mohiaddin
Tom Wong
D. Firmin
J. Keegan
Guang Yang
52
36
0
17 Sep 2021
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task
  Learning
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning
M. Crawshaw
Jana Kosecka
29
7
0
16 Sep 2021
SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and
  Interaction Space Graph Reasoning for Autonomous Driving
SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving
W. G. C. Bandara
Jeya Maria Jose Valanarasu
Vishal M. Patel
10
32
0
16 Sep 2021
A Conditional Generative Matching Model for Multi-lingual Reply
  Suggestion
A Conditional Generative Matching Model for Multi-lingual Reply Suggestion
Budhaditya Deb
Guoqing Zheng
Milad Shokouhi
Ahmed Hassan Awadallah
36
1
0
15 Sep 2021
CropDefender: deep watermark which is more convenient to train and more
  robust against cropping
CropDefender: deep watermark which is more convenient to train and more robust against cropping
Jiayuan Ding
Yuchen Cao
Changhao Shi
17
0
0
12 Sep 2021
Efficiently Identifying Task Groupings for Multi-Task Learning
Efficiently Identifying Task Groupings for Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
224
239
1
10 Sep 2021
Rendezvous: Attention Mechanisms for the Recognition of Surgical Action
  Triplets in Endoscopic Videos
Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos
C. Nwoye
Tong Yu
Cristians Gonzalez
B. Seeliger
Pietro Mascagni
Didier Mutter
J. Marescaux
N. Padoy
39
129
0
07 Sep 2021
IEEE BigData 2021 Cup: Soft Sensing at Scale
IEEE BigData 2021 Cup: Soft Sensing at Scale
Sergei Petrov
Chao Zhang
Jaswanth K. Yella
Yu Huang
Xiaoye Qian
Sthitie Bom
19
4
0
07 Sep 2021
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation
Richard Shaw
Carole H. Sudre
Sebastien Ourselin
M. Jorge Cardoso
H. Pemberton
UQCV
27
5
0
06 Sep 2021
Detecting Communities from Heterogeneous Graphs: A Context Path-based
  Graph Neural Network Model
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
Linhao Luo
Yixiang Fang
Xin Cao
Xiaofeng Zhang
Wenjie Zhang
GNN
27
55
0
05 Sep 2021
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty
  Estimation
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
Liyan Xu
Xuchao Zhang
Xujiang Zhao
Haifeng Chen
F. Chen
Jinho Choi
28
14
0
01 Sep 2021
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
Firoj Alam
Tanvirul Alam
Md. Arid Hasan
A. Hasnat
Muhammad Imran
Ferda Ofli
VLM
30
51
0
29 Aug 2021
Multi-Task Self-Training for Learning General Representations
Multi-Task Self-Training for Learning General Representations
Golnaz Ghiasi
Barret Zoph
E. D. Cubuk
Quoc V. Le
Nayeon Lee
SSL
24
100
0
25 Aug 2021
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling
M. R. Bayanlou
M. Khoshboresh-Masouleh
9
6
0
25 Aug 2021
Deep few-shot learning for bi-temporal building change detection
Deep few-shot learning for bi-temporal building change detection
M. Khoshboresh-Masouleh
R. Shah-Hosseini
22
4
0
25 Aug 2021
Outdoor Position Recovery from HeterogeneousTelco Cellular Data
Outdoor Position Recovery from HeterogeneousTelco Cellular Data
Yige Zhang
Weixiong Rao
Kun Zhang
Lei Chen
13
3
0
24 Aug 2021
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