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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
Micro-level Reserving for General Insurance Claims using a Long
  Short-Term Memory Network
Micro-level Reserving for General Insurance Claims using a Long Short-Term Memory Network
Ihsan Chaoubi
C. Besse
Hélène Cossette
Marie-Pier Côté
AI4TS
12
4
0
27 Jan 2022
Attentive Task Interaction Network for Multi-Task Learning
Attentive Task Interaction Network for Multi-Task Learning
Dimitrios Sinodinos
Narges Armanfard
AIMat
23
2
0
25 Jan 2022
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
Jiwon Kim
Kwang-seok Ryoo
Gyuseong Lee
Seokju Cho
Junyoung Seo
Daehwan Kim
Hansang Cho
Seung Wook Kim
32
1
0
25 Jan 2022
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning
  for Cancer Prognosis Prediction
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction
Kaiwen Tan
Weixian Huang
Xiaofeng Liu
Jinlong Hu
Shoubin Dong
26
42
0
22 Jan 2022
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in
  Dynamic Environments
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments
Christian Homeyer
Oliver Lange
Christoph Schnörr
MDE
15
3
0
21 Jan 2022
Sentiment Analysis: Predicting Yelp Scores
Sentiment Analysis: Predicting Yelp Scores
Bhanu Prakash Reddy Guda
Mashrin Srivastava
Deep Karkhanis
27
3
0
20 Jan 2022
RePre: Improving Self-Supervised Vision Transformer with Reconstructive
  Pre-training
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training
Luyang Wang
Feng Liang
Yangguang Li
Honggang Zhang
Wanli Ouyang
Jing Shao
ViT
39
1
0
18 Jan 2022
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning
  Approach for Advertiser Modeling
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling
Qianqian Zhang
Xinru Liao
Quanlian Liu
Jian Xu
Bo Zheng
30
52
0
18 Jan 2022
GradTail: Learning Long-Tailed Data Using Gradient-based Sample
  Weighting
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting
Zhao Chen
Vincent Casser
Henrik Kretzschmar
Dragomir Anguelov
31
5
0
16 Jan 2022
Uncertainty-Aware Multi-View Representation Learning
Uncertainty-Aware Multi-View Representation Learning
Yu Geng
Zongbo Han
Changqing Zhang
Q. Hu
53
63
0
15 Jan 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
Vitaly Kurin
Alessandro De Palma
Ilya Kostrikov
Shimon Whiteson
M. P. Kumar
41
74
0
11 Jan 2022
Graph Representation Learning for Multi-Task Settings: a Meta-Learning
  Approach
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach
Davide Buffelli
Fabio Vandin
AI4CE
24
6
0
10 Jan 2022
Swin Transformer coupling CNNs Makes Strong Contextual Encoders for VHR
  Image Road Extraction
Swin Transformer coupling CNNs Makes Strong Contextual Encoders for VHR Image Road Extraction
Tao Chen
Yiran Liu
Haoyu Jiang
Ruirui Li
ViT
27
0
0
10 Jan 2022
Zero-Shot and Few-Shot Classification of Biomedical Articles in Context
  of the COVID-19 Pandemic
Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic
Simon Lupart
Benoit Favre
Vassilina Nikoulina
Salah Ait-Mokhtar
25
3
0
09 Jan 2022
Frame Shift Prediction
Frame Shift Prediction
Zheng-Xin Yong
Patrick Watson
Tiago Timponi Torrent
Oliver Czulo
Collin F. Baker
32
2
0
05 Jan 2022
Interpretable Low-Resource Legal Decision Making
Interpretable Low-Resource Legal Decision Making
R. Bhambhoria
Hui Liu
Samuel Dahan
Xiao-Dan Zhu
ELM
AILaw
37
9
0
01 Jan 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in
  Dynamic Environments
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments
A. Iyer
Karan Grewal
Akash Velu
Lucas O. Souza
Jérémy Forest
Subutai Ahmad
AI4CE
37
42
0
31 Dec 2021
Contrastive Learning of Semantic and Visual Representations for Text Tracking
Zhuang Li
Weijia Wu
Mike Zheng Shou
Jiahong Li
Size Li
Zhongyuan Wang
Hong Zhou
37
10
0
30 Dec 2021
Simple and Effective Balance of Contrastive Losses
Simple and Effective Balance of Contrastive Losses
Arnaud Sors
Rafael Sampaio de Rezende
Sarah Ibrahimi
J. Andreoli
SSL
30
1
0
22 Dec 2021
Improving evidential deep learning via multi-task learning
Improving evidential deep learning via multi-task learning
Dongpin Oh
Bonggun Shin
EDL
UQCV
27
24
0
17 Dec 2021
Learning Bounded Context-Free-Grammar via LSTM and the
  Transformer:Difference and Explanations
Learning Bounded Context-Free-Grammar via LSTM and the Transformer:Difference and Explanations
Hui Shi
Sicun Gao
Yuandong Tian
Xinyun Chen
Jishen Zhao
21
21
0
16 Dec 2021
Vision Transformer Based Video Hashing Retrieval for Tracing the Source
  of Fake Videos
Vision Transformer Based Video Hashing Retrieval for Tracing the Source of Fake Videos
Pengfei Pei
Xianfeng Zhao
Yun Cao
Jinchuan Li
Xiaowei Yi
ViT
29
8
0
15 Dec 2021
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying
  Ancient Urbanization in the South Central Andes
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes
Jiachen Xu
Junlin Guo
James Zimmer-Dauphinee
Quan Liu
Yuxuan Shi
Zuhayr Asad
D. Mitchell Wilkes
Parker VanValkenburgh
Steven A. Wernke
Yuankai Huo
SSL
24
2
0
13 Dec 2021
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species
Changsheng Lu
Piotr Koniusz
43
34
0
12 Dec 2021
Pareto Domain Adaptation
Pareto Domain Adaptation
Fangrui Lv
Jian Liang
Kaixiong Gong
Shuang Li
Chi Harold Liu
Han Li
Di Liu
Guoren Wang
15
31
0
08 Dec 2021
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality
  Forecasting
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting
Abdulmajid Murad
F. Kraemer
Kerstin Bach
Gavin Taylor
OOD
BDL
UQCV
25
12
0
05 Dec 2021
Toward Practical Monocular Indoor Depth Estimation
Toward Practical Monocular Indoor Depth Estimation
Cho-Ying Wu
Jialiang Wang
Michael Hall
Ulrich Neumann
Shuochen Su
3DV
MDE
48
63
0
04 Dec 2021
CTIN: Robust Contextual Transformer Network for Inertial Navigation
CTIN: Robust Contextual Transformer Network for Inertial Navigation
Bingbing Rao
Ehsan Kazemi
Yifan Ding
D. Shila
F. M. Tucker
Liqiang Wang
3DPC
45
33
0
03 Dec 2021
Deep Depth from Focus with Differential Focus Volume
Deep Depth from Focus with Differential Focus Volume
Fengting Yang
Xiaolei Huang
Zihan Zhou
MDE
19
21
0
03 Dec 2021
Object-aware Monocular Depth Prediction with Instance Convolutions
Object-aware Monocular Depth Prediction with Instance Convolutions
Enis Simsar
Evin Pınar Örnek
Fabian Manhardt
Helisa Dhamo
Nassir Navab
F. Tombari
3DH
MDE
36
1
0
02 Dec 2021
SCNet: A Generalized Attention-based Model for Crack Fault Segmentation
SCNet: A Generalized Attention-based Model for Crack Fault Segmentation
Hrishikesh Sharma
Pandaba Pradhan
P. Balamuralidhar
33
6
0
02 Dec 2021
DeepSportLab: a Unified Framework for Ball Detection, Player Instance
  Segmentation and Pose Estimation in Team Sports Scenes
DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes
Seyed Abolfazl Ghasemzadeh
Gabriel Van Zandycke
M. Istasse
Niels Sayez
A. Moshtaghpour
Christophe De Vleeschouwer
3DH
21
13
0
01 Dec 2021
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles
Sammy Sidhu
Linda Wang
Tayyab Naseer
A. Malhotra
Jay Chia
Aayush Ahuja
Ella Rasmussen
Qiangui Huang
Ray Gao
37
1
0
01 Dec 2021
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Sara Atito
Muhammad Awais
Ammarah Farooq
Zhenhua Feng
J. Kittler
19
17
0
30 Nov 2021
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
Weihong Li
Xialei Liu
Hakan Bilen
50
40
0
29 Nov 2021
Recurrent Vision Transformer for Solving Visual Reasoning Problems
Recurrent Vision Transformer for Solving Visual Reasoning Problems
Nicola Messina
Giuseppe Amato
F. Carrara
Claudio Gennaro
Fabrizio Falchi
ViT
LRM
22
11
0
29 Nov 2021
Cross-Task Consistency Learning Framework for Multi-Task Learning
Cross-Task Consistency Learning Framework for Multi-Task Learning
Akihiro Nakano
Shi Chen
K. Demachi
CVBM
22
3
0
28 Nov 2021
WiFi-based Multi-task Sensing
WiFi-based Multi-task Sensing
Xie Zhang
Chengpei Tang
Yasong An
Kang Yin
24
3
0
26 Nov 2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio
PolyViT: Co-training Vision Transformers on Images, Videos and Audio
Valerii Likhosherstov
Anurag Arnab
K. Choromanski
Mario Lucic
Yi Tay
Adrian Weller
Mostafa Dehghani
ViT
35
73
0
25 Nov 2021
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing
Xiaoxue Chen
Tianyu Liu
Hao Zhao
Guyue Zhou
Ya Zhang
38
22
0
24 Nov 2021
Ice hockey player identification via transformers and weakly supervised
  learning
Ice hockey player identification via transformers and weakly supervised learning
Kanav Vats
William J. McNally
Pascale Walters
David A Clausi
John S. Zelek
ViT
36
24
0
22 Nov 2021
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent
  Variable Model
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model
Jing Zhang
Yuchao Dai
Mehrtash Harandi
Yiran Zhong
Nick Barnes
Richard I. Hartley
UQCV
29
1
0
22 Nov 2021
Reasonable Effectiveness of Random Weighting: A Litmus Test for
  Multi-Task Learning
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning
Baijiong Lin
Feiyang Ye
Yu Zhang
Ivor W. Tsang
44
94
0
20 Nov 2021
Deep Safe Multi-Task Learning
Deep Safe Multi-Task Learning
Zhixiong Yue
Feiyang Ye
Yu Zhang
Christy Jie Liang
Ivor W. Tsang
26
3
0
20 Nov 2021
Positional Encoder Graph Neural Networks for Geographic Data
Positional Encoder Graph Neural Networks for Geographic Data
Konstantin Klemmer
Nathan Safir
Daniel B. Neill
GNN
30
34
0
19 Nov 2021
SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised
  Monocular Depth Estimation
SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation
Hang Zhou
Sarah Taylor
David Greenwood
Michal Mackiewicz
UQCV
MDE
21
10
0
18 Nov 2021
Linking-Enhanced Pre-Training for Table Semantic Parsing
Linking-Enhanced Pre-Training for Table Semantic Parsing
Bowen Qin
Lihan Wang
Binyuan Hui
Ruiying Geng
Zhen Cao
Min Yang
Jian Sun
Yongbin Li
40
1
0
18 Nov 2021
Multi-Task Classification of Sewer Pipe Defects and Properties using a
  Cross-Task Graph Neural Network Decoder
Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
Joakim Bruslund Haurum
Meysam Madadi
Sergio Escalera
T. Moeslund
AI4CE
13
8
0
15 Nov 2021
Auxiliary Loss Reweighting for Image Inpainting
Auxiliary Loss Reweighting for Image Inpainting
Siqi Hui
Sanping Zhou
Ye Deng
Wenli Huang
Jinjun Wang
43
1
0
14 Nov 2021
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
John Yang
Yash Bhalgat
Simyung Chang
Fatih Porikli
Nojun Kwak
3DH
16
6
0
11 Nov 2021
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