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Multi-Task Learning by a Top-Down Control Network

Multi-Task Learning by a Top-Down Control Network

9 February 2020
Hila Levi
S. Ullman
ArXivPDFHTML

Papers citing "Multi-Task Learning by a Top-Down Control Network"

25 / 25 papers shown
Title
Attentive Single-Tasking of Multiple Tasks
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
150
249
0
18 Apr 2019
Many Task Learning with Task Routing
Many Task Learning with Task Routing
Gjorgji Strezoski
Nanne van Noord
Marcel Worring
MoE
38
96
0
28 Mar 2019
Superposition of many models into one
Superposition of many models into one
Brian Cheung
A. Terekhov
Yubei Chen
Pulkit Agrawal
Bruno A. Olshausen
MoMe
18
115
0
14 Feb 2019
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
Runtao Liu
Chenxi Liu
Yutong Bai
Alan Yuille
NAI
ObjD
44
123
0
03 Jan 2019
Multi-Task Learning as Multi-Objective Optimization
Multi-Task Learning as Multi-Objective Optimization
Ozan Sener
V. Koltun
92
1,266
0
10 Oct 2018
Top-Down Feedback for Crowd Counting Convolutional Neural Network
Top-Down Feedback for Crowd Counting Convolutional Neural Network
Deepak Babu Sam
R. Venkatesh Babu
19
144
0
24 Jul 2018
A Modulation Module for Multi-task Learning with Applications in Image
  Retrieval
A Modulation Module for Multi-task Learning with Applications in Image Retrieval
Xiangyu Zhao
Haoxiang Li
Xiaohui Shen
Xiaodan Liang
Ying Nian Wu
43
138
0
17 Jul 2018
End-to-End Multi-Task Learning with Attention
End-to-End Multi-Task Learning with Attention
Shikun Liu
Edward Johns
Andrew J. Davison
CVBM
41
1,036
0
28 Mar 2018
Panoptic Segmentation
Panoptic Segmentation
Alexander Kirillov
Kaiming He
Ross B. Girshick
Carsten Rother
Piotr Dollár
78
1,425
0
03 Jan 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep
  Multitask Networks
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen
Vijay Badrinarayanan
Chen-Yu Lee
Andrew Rabinovich
ODL
91
1,272
0
07 Nov 2017
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
77
4,584
0
26 Oct 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
88
2,817
0
15 Jun 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
179
3,093
0
19 May 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
253
27,018
0
20 Mar 2017
Feedback Networks
Feedback Networks
Amir Zamir
Te-Lin Wu
Lin Sun
Bokui (William) Shen
Jitendra Malik
Silvio Savarese
27
210
0
30 Dec 2016
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
129
15,535
0
25 Dec 2016
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary
  Visual Reasoning
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
CoGe
257
2,346
0
20 Dec 2016
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto
Caiming Xiong
Yoshimasa Tsuruoka
R. Socher
KELM
70
575
0
05 Nov 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSeg
SSL
100
672
0
07 Sep 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLL
AI4CE
40
2,428
0
15 Jun 2016
Integrated perception with recurrent multi-task neural networks
Integrated perception with recurrent multi-task neural networks
Hakan Bilen
Andrea Vedaldi
ObjD
46
94
0
06 Jun 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
58
1,339
0
12 Apr 2016
Stacked Hourglass Networks for Human Pose Estimation
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell
Kaiyu Yang
Jia Deng
3DH
81
5,008
0
22 Mar 2016
Human Pose Estimation with Iterative Error Feedback
Human Pose Estimation with Iterative Error Feedback
João Carreira
Pulkit Agrawal
Katerina Fragkiadaki
Jitendra Malik
3DH
67
750
0
23 Jul 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
191
8,351
0
28 Nov 2014
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