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Controllable Dynamic Multi-Task Architectures

Controllable Dynamic Multi-Task Architectures

28 March 2022
Dripta S. Raychaudhuri
Yumin Suh
S. Schulter
Xiang Yu
M. Faraki
Amit K. Roy-Chowdhury
Manmohan Chandraker
ArXiv (abs)PDFHTML

Papers citing "Controllable Dynamic Multi-Task Architectures"

30 / 30 papers shown
Title
Federated Communication-Efficient Multi-Objective Optimization
Federated Communication-Efficient Multi-Objective Optimization
Baris Askin
Pranay Sharma
Gauri Joshi
Carlee Joe-Wong
FedML
245
1
0
21 Oct 2024
Towards Principled Task Grouping for Multi-Task Learning
Towards Principled Task Grouping for Multi-Task Learning
Chenguang Wang
Xuanhao Pan
Tianshu Yu
156
1
0
23 Feb 2024
Dynamic Slimmable Network
Dynamic Slimmable Network
Changlin Li
Guangrun Wang
Bing Wang
Xiaodan Liang
Zhihui Li
Xiaojun Chang
73
144
0
24 Mar 2021
Dynamic Neural Networks: A Survey
Dynamic Neural Networks: A Survey
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
3DHAI4TSAI4CE
115
651
0
09 Feb 2021
Controllable Pareto Multi-Task Learning
Controllable Pareto Multi-Task Learning
Xi Lin
Zhiyuan Yang
Qingfu Zhang
Sam Kwong
MoE
107
74
0
13 Oct 2020
Learning the Pareto Front with Hypernetworks
Learning the Pareto Front with Hypernetworks
Aviv Navon
Aviv Shamsian
Gal Chechik
Ethan Fetaya
106
145
0
08 Oct 2020
Automated Search for Resource-Efficient Branched Multi-Task Networks
Automated Search for Resource-Efficient Branched Multi-Task Networks
David Brüggemann
Menelaos Kanakis
Stamatios Georgoulis
Luc Van Gool
41
65
0
24 Aug 2020
Learning to Branch for Multi-Task Learning
Learning to Branch for Multi-Task Learning
Pengsheng Guo
Chen-Yu Lee
Daniel Ulbricht
63
179
0
02 Jun 2020
Learning Dynamic Routing for Semantic Segmentation
Learning Dynamic Routing for Semantic Segmentation
Yanwei Li
Lin Song
Yukang Chen
Zeming Li
Xinming Zhang
Xingang Wang
Jian Sun
SSeg
125
164
0
23 Mar 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
174
1,221
0
19 Jan 2020
Pareto Multi-Task Learning
Pareto Multi-Task Learning
Xi Lin
Hui-Ling Zhen
Zhenhua Li
Qingfu Zhang
Sam Kwong
85
351
0
30 Dec 2019
Deep Meta Functionals for Shape Representation
Deep Meta Functionals for Shape Representation
G. Littwin
Lior Wolf
3DPC
50
82
0
17 Aug 2019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural
  Architecture Search
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
Youhei Akimoto
Shinichi Shirakawa
Nozomu Yoshinari
Kento Uchida
Shota Saito
K. Nishida
63
87
0
21 May 2019
Representation Similarity Analysis for Efficient Task taxonomy &
  Transfer Learning
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
Kshitij Dwivedi
Gemma Roig
68
152
0
26 Apr 2019
Branched Multi-Task Networks: Deciding What Layers To Share
Branched Multi-Task Networks: Deciding What Layers To Share
Simon Vandenhende
Stamatios Georgoulis
Bert De Brabandere
Luc Van Gool
94
145
0
05 Apr 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and
  Hardware
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai
Ligeng Zhu
Song Han
102
1,874
0
02 Dec 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
201
4,361
0
24 Jun 2018
Taskonomy: Disentangling Task Transfer Learning
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
126
1,221
0
23 Apr 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
153
1,675
0
30 Mar 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
469
13,168
0
07 Feb 2018
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
103
639
0
26 Nov 2017
Routing Networks: Adaptive Selection of Non-linear Functions for
  Multi-Task Learning
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning
Clemens Rosenbaum
Tim Klinger
Matthew D Riemer
84
246
0
03 Nov 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
156
764
0
17 Aug 2017
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
605
2,235
0
25 Jul 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
151
2,830
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
272
3,123
0
19 May 2017
Adaptive Neural Networks for Efficient Inference
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi
Joseph Wang
O. Dekel
Venkatesh Saligrama
51
357
0
25 Feb 2017
Changing Model Behavior at Test-Time Using Reinforcement Learning
Changing Model Behavior at Test-Time Using Reinforcement Learning
Augustus Odena
Dieterich Lawson
C. Olah
TTA
56
52
0
24 Feb 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs
  by Selective Execution
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution
Lanlan Liu
Jia Deng
86
205
0
02 Jan 2017
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
344
5,372
0
03 Nov 2016
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