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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 / 1,297 papers shown
Title
Uncovering the Connections Between Adversarial Transferability and
  Knowledge Transferability
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
Kaizhao Liang
Jacky Y. Zhang
Wei Ping
Zhuolin Yang
Oluwasanmi Koyejo
Yangqiu Song
AAML
33
25
0
25 Jun 2020
Joint Object Detection and Multi-Object Tracking with Graph Neural
  Networks
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks
Yongxin Wang
Kris Kitani
Xinshuo Weng
VOT
35
39
0
23 Jun 2020
Clinical Risk Prediction with Temporal Probabilistic Asymmetric
  Multi-Task Learning
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
T. Nguyen
Hyewon Jeong
Eunho Yang
Sung Ju Hwang
12
15
0
23 Jun 2020
Auxiliary Learning by Implicit Differentiation
Auxiliary Learning by Implicit Differentiation
Aviv Navon
Idan Achituve
Haggai Maron
Gal Chechik
Ethan Fetaya
28
59
0
22 Jun 2020
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
Chao Ma
Sebastian Tschiatschek
José Miguel Hernández-Lobato
Richard Turner
Cheng Zhang
DRL
VLM
11
66
0
21 Jun 2020
Unified Representation Learning for Efficient Medical Image Analysis
Unified Representation Learning for Efficient Medical Image Analysis
Ghada Zamzmi
S. Rajaraman
Sameer Kiran Antani
6
17
0
19 Jun 2020
Uncertainty in Gradient Boosting via Ensembles
Uncertainty in Gradient Boosting via Ensembles
Aleksei Ustimenko
Liudmila Prokhorenkova
A. Malinin
UQCV
28
94
0
18 Jun 2020
Auxiliary-task learning for geographic data with autoregressive
  embeddings
Auxiliary-task learning for geographic data with autoregressive embeddings
Konstantin Klemmer
Daniel B. Neill
19
13
0
18 Jun 2020
Maximum Roaming Multi-Task Learning
Maximum Roaming Multi-Task Learning
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
31
31
0
17 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions
MetaSDF: Meta-learning Signed Distance Functions
Vincent Sitzmann
E. R. Chan
Richard Tucker
Noah Snavely
Gordon Wetzstein
33
247
0
17 Jun 2020
70 years of machine learning in geoscience in review
70 years of machine learning in geoscience in review
Jesper Sören Dramsch
VLM
AI4CE
32
160
0
16 Jun 2020
Depth by Poking: Learning to Estimate Depth from Self-Supervised
  Grasping
Depth by Poking: Learning to Estimate Depth from Self-Supervised Grasping
Ben Goodrich
Alex Kuefler
William D. Richards
SSL
13
6
0
16 Jun 2020
Attentive Feature Reuse for Multi Task Meta learning
Attentive Feature Reuse for Multi Task Meta learning
Kiran Lekkala
Laurent Itti
OOD
21
7
0
12 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
19
102
0
12 Jun 2020
Learning a Unified Sample Weighting Network for Object Detection
Learning a Unified Sample Weighting Network for Object Detection
Qi Cai
Yingwei Pan
Yu Wang
Jingen Liu
Ting Yao
Tao Mei
6
31
0
11 Jun 2020
W-net: Simultaneous segmentation of multi-anatomical retinal structures
  using a multi-task deep neural network
W-net: Simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network
Hongwei Zhao
Chengtao Peng
Lei Liu
Bin Li
21
1
0
11 Jun 2020
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
Zaiwei Zhang
Bo Sun
Haitao Yang
Qi-Xing Huang
3DPC
20
195
0
10 Jun 2020
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning
Andrei Boiarov
O. Granichin
O. Granichina
45
6
0
09 Jun 2020
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box
  Optimization
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
Daniel Golovin
Qiuyi Zhang
17
70
0
08 Jun 2020
Implications of Human Irrationality for Reinforcement Learning
Implications of Human Irrationality for Reinforcement Learning
Haiyang Chen
H. Chang
Andrew Howes
26
1
0
07 Jun 2020
A Multitask Learning Approach for Diacritic Restoration
A Multitask Learning Approach for Diacritic Restoration
Sawsan Alqahtani
Ajay K. Mishra
Mona T. Diab
14
17
0
07 Jun 2020
Learning to Branch for Multi-Task Learning
Learning to Branch for Multi-Task Learning
Pengsheng Guo
Chen-Yu Lee
Daniel Ulbricht
18
174
0
02 Jun 2020
TIMME: Twitter Ideology-detection via Multi-task Multi-relational
  Embedding
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding
Zhiping Xiao
Weiping Song
Haoyan Xu
Zhicheng Ren
Yizhou Sun
22
71
0
02 Jun 2020
Latent Domain Learning with Dynamic Residual Adapters
Latent Domain Learning with Dynamic Residual Adapters
Lucas Deecke
Timothy M. Hospedales
Hakan Bilen
19
8
0
01 Jun 2020
Efficient Ensemble Model Generation for Uncertainty Estimation with
  Bayesian Approximation in Segmentation
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation
Hong Joo Lee
S. T. Kim
Hakmin Lee
Nassir Navab
Yong Man Ro
UQCV
16
7
0
21 May 2020
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework
  for Web-scale Recommender Systems
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems
Menghan Wang
Yujie Lin
Guli Lin
Keping Yang
Xiao-ming Wu
AI4TS
3DV
14
70
0
20 May 2020
Multitask Learning with Single Gradient Step Update for Task Balancing
Multitask Learning with Single Gradient Step Update for Task Balancing
Sungjae Lee
Youngdoo Son
32
22
0
20 May 2020
Learning to segment clustered amoeboid cells from brightfield microscopy
  via multi-task learning with adaptive weight selection
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection
Rituparna Sarkar
Suvadip Mukherjee
E. Labruyère
Jean-Christophe Olivo-Marin
19
11
0
19 May 2020
Efficient Image Gallery Representations at Scale Through Multi-Task
  Learning
Efficient Image Gallery Representations at Scale Through Multi-Task Learning
Benjamin Gutelman
Pavel Levin
17
3
0
18 May 2020
VerifyTL: Secure and Verifiable Collaborative Transfer Learning
VerifyTL: Secure and Verifiable Collaborative Transfer Learning
Zhuo Ma
Jianfeng Ma
Yinbin Miao
Ximeng Liu
Wei Zheng
K. Choo
R. Deng
AAML
16
3
0
18 May 2020
Neural Multi-Task Learning for Teacher Question Detection in Online
  Classrooms
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms
Gale Yan Huang
Jiahao Chen
Haochen Liu
Weiping Fu
Wenbiao Ding
Jiliang Tang
Songfan Yang
Guoliang Li
Zitao Liu
6
10
0
16 May 2020
On the uncertainty of self-supervised monocular depth estimation
On the uncertainty of self-supervised monocular depth estimation
Matteo Poggi
Filippo Aleotti
Fabio Tosi
S. Mattoccia
UQCV
MDE
33
262
0
13 May 2020
CDC: Classification Driven Compression for Bandwidth Efficient
  Edge-Cloud Collaborative Deep Learning
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning
Yuanrui Dong
Peng Zhao
Hanqiao Yu
Cong Zhao
Shusen Yang
28
19
0
04 May 2020
Understanding and Improving Information Transfer in Multi-Task Learning
Understanding and Improving Information Transfer in Multi-Task Learning
Sen Wu
Hongyang R. Zhang
Christopher Ré
18
154
0
02 May 2020
A Novel Perspective to Zero-shot Learning: Towards an Alignment of
  Manifold Structures via Semantic Feature Expansion
A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion
Jingcai Guo
Song Guo
22
50
0
30 Apr 2020
Emerging Relation Network and Task Embedding for Multi-Task Regression
  Problems
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems
Jens Schreiber
Bernhard Sick
AI4TS
19
12
0
29 Apr 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey
Multi-Task Learning for Dense Prediction Tasks: A Survey
Simon Vandenhende
Stamatios Georgoulis
Wouter Van Gansbeke
Marc Proesmans
Dengxin Dai
Luc Van Gool
CVBM
29
72
0
28 Apr 2020
Multi-Domain Dialogue Acts and Response Co-Generation
Multi-Domain Dialogue Acts and Response Co-Generation
Kai Wang
Junfeng Tian
Rui-cang Wang
Xiaojun Quan
Jianxing Yu
6
58
0
26 Apr 2020
Improved Noise and Attack Robustness for Semantic Segmentation by Using
  Multi-Task Training with Self-Supervised Depth Estimation
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation
Marvin Klingner
Andreas Bär
Tim Fingscheidt
AAML
30
40
0
23 Apr 2020
How to track your dragon: A Multi-Attentional Framework for real-time
  RGB-D 6-DOF Object Pose Tracking
How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking
Isidoros Marougkas
Petros Koutras
Nikos Kardaris
Georgios Retsinas
Georgia Chalvatzaki
Petros Maragos
VOT
35
7
0
21 Apr 2020
TTNet: Real-time temporal and spatial video analysis of table tennis
TTNet: Real-time temporal and spatial video analysis of table tennis
Roman Voeikov
Nikolay S Falaleev
Ruslan Baikulov
ViT
19
79
0
21 Apr 2020
Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking
Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking
Peiliang Li
Jieqi Shi
Shaojie Shen
3DPC
47
18
0
20 Apr 2020
LSM: Learning Subspace Minimization for Low-level Vision
LSM: Learning Subspace Minimization for Low-level Vision
Chengzhou Tang
Lu Yuan
P. Tan
20
14
0
20 Apr 2020
Dynamic Feature Integration for Simultaneous Detection of Salient
  Object, Edge and Skeleton
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton
Jiangjiang Liu
Qibin Hou
Ming-Ming Cheng
ObjD
24
125
0
18 Apr 2020
On the Synergies between Machine Learning and Binocular Stereo for Depth
  Estimation from Images: a Survey
On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey
Matteo Poggi
Fabio Tosi
Konstantinos Batsos
Philippos Mordohai
S. Mattoccia
3DV
MDE
21
15
0
18 Apr 2020
Extending Unsupervised Neural Image Compression With Supervised
  Multitask Learning
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
David Tellez
D. Höppener
Cornelis Verhoef
D. Grünhagen
Pieter M H Nierop
M. Drozdzal
Jeroen van der Laak
F. Ciompi
MedIm
28
31
0
15 Apr 2020
Balancing Training for Multilingual Neural Machine Translation
Balancing Training for Multilingual Neural Machine Translation
Xinyi Wang
Yulia Tsvetkov
Graham Neubig
16
99
0
14 Apr 2020
Kinship Identification through Joint Learning Using Kinship Verification
  Ensembles
Kinship Identification through Joint Learning Using Kinship Verification Ensembles
Wei Wang
Shaodi You
Sezer Karaoglu
Theo Gevers
14
16
0
14 Apr 2020
Footprints and Free Space from a Single Color Image
Footprints and Free Space from a Single Color Image
Jamie Watson
Michael Firman
Áron Monszpart
Gabriel J. Brostow
3DV
14
19
0
14 Apr 2020
Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics
Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics
Xusen Yin
Jonathan May
16
3
0
06 Apr 2020
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