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Cross-stitch Networks for Multi-task Learning

Cross-stitch Networks for Multi-task Learning

12 April 2016
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
ArXivPDFHTML

Papers citing "Cross-stitch Networks for Multi-task Learning"

50 / 218 papers shown
Title
MTL-NAS: Task-Agnostic Neural Architecture Search towards
  General-Purpose Multi-Task Learning
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Yuan Gao
Haoping Bai
Zequn Jie
Jiayi Ma
Kui Jia
Wei Liu
19
94
0
31 Mar 2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang
Huazhe Xu
Yi Wu
Xiaolong Wang
27
176
0
30 Mar 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
Jingwen Ye
Yixin Ji
Xinchao Wang
Xin Gao
Xiuming Zhang
29
53
0
20 Mar 2020
LEEP: A New Measure to Evaluate Transferability of Learned
  Representations
LEEP: A New Measure to Evaluate Transferability of Learned Representations
Cuong V Nguyen
Tal Hassner
Matthias Seeger
Cédric Archambeau
28
213
0
27 Feb 2020
MPM: Joint Representation of Motion and Position Map for Cell Tracking
MPM: Joint Representation of Motion and Position Map for Cell Tracking
Junya Hayashida
Kazuya Nishimura
Ryoma Bise
VOT
32
31
0
25 Feb 2020
Leveraging Code Generation to Improve Code Retrieval and Summarization
  via Dual Learning
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning
Wei Ye
Rui Xie
Jinglei Zhang
Tianxiang Hu
Xiaoyin Wang
Shikun Zhang
25
74
0
24 Feb 2020
Learning Preference-Based Similarities from Face Images using Siamese
  Multi-Task CNNs
Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs
N. Gessert
Alexander Schlaefer
CVBM
18
1
0
25 Jan 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
38
1,172
0
19 Jan 2020
Learning Sparse Sharing Architectures for Multiple Tasks
Learning Sparse Sharing Architectures for Multiple Tasks
Tianxiang Sun
Yunfan Shao
Xiaonan Li
Pengfei Liu
Hang Yan
Xipeng Qiu
Xuanjing Huang
MoE
30
128
0
12 Nov 2019
Graph Representation Learning via Multi-task Knowledge Distillation
Graph Representation Learning via Multi-task Knowledge Distillation
Jiaqi Ma
Qiaozhu Mei
16
18
0
11 Nov 2019
Human Action Recognition in Drone Videos using a Few Aerial Training
  Examples
Human Action Recognition in Drone Videos using a Few Aerial Training Examples
Waqas Sultani
M. Shah
27
46
0
22 Oct 2019
Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment
Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment
Estèphe Arnaud
Arnaud Dapogny
Kévin Bailly
CVBM
29
10
0
21 Oct 2019
JSCN: Joint Spectral Convolutional Network for Cross Domain
  Recommendation
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation
Zhiwei Liu
Lei Zheng
Jiawei Zhang
Jiayu Han
Philip S. Yu
18
26
0
18 Oct 2019
Single-Network Whole-Body Pose Estimation
Single-Network Whole-Body Pose Estimation
Gines Hidalgo
Yaadhav Raaj
Haroon Idrees
Donglai Xiang
Hanbyul Joo
Tomas Simon
Yaser Sheikh
3DH
125
100
0
30 Sep 2019
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in
  Toxic Comment Detection
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection
Ameya Vaidya
Feng Mai
Yue Ning
112
21
0
21 Sep 2019
Slice-based Learning: A Programming Model for Residual Learning in
  Critical Data Slices
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
V. Chen
Sen Wu
Zhenzhen Weng
Alexander Ratner
Christopher Ré
15
56
0
13 Sep 2019
Deep Elastic Networks with Model Selection for Multi-Task Learning
Deep Elastic Networks with Model Selection for Multi-Task Learning
Chanho Ahn
Eunwoo Kim
Songhwai Oh
49
49
0
11 Sep 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and
  Generalist Convolution Kernels
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
Felix J. S. Bragman
Ryutaro Tanno
Sebastien Ourselin
Daniel C. Alexander
M. Jorge Cardoso
24
86
0
26 Aug 2019
Transferability and Hardness of Supervised Classification Tasks
Transferability and Hardness of Supervised Classification Tasks
Anh Tran
Cuong V Nguyen
Tal Hassner
134
164
0
21 Aug 2019
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for
  Natural Language Processing
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
Jianquan Li
Xiaokang Liu
Wenpeng Yin
Min Yang
Liqun Ma
Yaohong Jin
AIMat
30
13
0
16 Aug 2019
Feature Partitioning for Efficient Multi-Task Architectures
Feature Partitioning for Efficient Multi-Task Architectures
Alejandro Newell
Lu Jiang
Chong-Jun Wang
Li-Jia Li
Jia Deng
30
17
0
12 Aug 2019
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial
  Cross-Task Distillation
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation
Jogendra Nath Kundu
Nishank Lakkakula
R. Venkatesh Babu
19
59
0
11 Aug 2019
Learning a Unified Embedding for Visual Search at Pinterest
Learning a Unified Embedding for Visual Search at Pinterest
Andrew Zhai
Hao-Yu Wu
Eric Tzeng
Dong Huk Park
Charles R. Rosenberg
DML
30
50
0
05 Aug 2019
Cartoon Face Recognition: A Benchmark Dataset
Cartoon Face Recognition: A Benchmark Dataset
Yi Zheng
Yifan Zhao
Mengyuan Ren
He Yan
Xiangju Lu
Bo Peng
Jia Li
CVBM
18
3
0
31 Jul 2019
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Yu-xiong Wang
Deva Ramanan
M. Hebert
CLL
24
148
0
18 Jul 2019
Task Selection Policies for Multitask Learning
Task Selection Policies for Multitask Learning
John Glover
Chris Hokamp
OffRL
29
7
0
14 Jul 2019
Efficient Multi-Domain Network Learning by Covariance Normalization
Efficient Multi-Domain Network Learning by Covariance Normalization
Yunsheng Li
Nuno Vasconcelos
OOD
22
32
0
24 Jun 2019
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic
  Segmentation
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation
Zhenyu Zhang
Zhen Cui
Chunyan Xu
Yan Yan
N. Sebe
Jian Yang
MDE
17
280
0
08 Jun 2019
Non-linear Multitask Learning with Deep Gaussian Processes
Non-linear Multitask Learning with Deep Gaussian Processes
Ayman Boustati
Theodoros Damoulas
R. Savage
BDL
14
5
0
29 May 2019
Which Tasks Should Be Learned Together in Multi-task Learning?
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas J. Guibas
Jitendra Malik
Silvio Savarese
18
502
0
18 May 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal
D. Mahajan
Abhinav Gupta
Ishan Misra
SSL
24
396
0
03 May 2019
Routing Networks and the Challenges of Modular and Compositional
  Computation
Routing Networks and the Challenges of Modular and Compositional Computation
Clemens Rosenbaum
Ignacio Cases
Matthew D Riemer
Tim Klinger
37
78
0
29 Apr 2019
Attentive Single-Tasking of Multiple Tasks
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
77
244
0
18 Apr 2019
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
Toby Perrett
Dima Damen
22
24
0
18 Apr 2019
Towards Universal Object Detection by Domain Attention
Towards Universal Object Detection by Domain Attention
Xudong Wang
Zhaowei Cai
Dashan Gao
Nuno Vasconcelos
OOD
22
193
0
09 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
25
145
0
05 Apr 2019
Many Task Learning with Task Routing
Many Task Learning with Task Routing
Gjorgji Strezoski
Nanne van Noord
M. Worring
MoE
24
96
0
28 Mar 2019
An End-to-End Network for Panoptic Segmentation
An End-to-End Network for Panoptic Segmentation
Huanyu Liu
Chao Peng
Changqian Yu
Jingbo Wang
Xuantong Liu
Gang Yu
Wei Jiang
ISeg
27
148
0
12 Mar 2019
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain
  Collaborative Filtering with Text
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text
Guangneng Hu
Yu Zhang
Qiang Yang
29
80
0
22 Jan 2019
Learning to Learn without Forgetting by Maximizing Transfer and
  Minimizing Interference
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew D Riemer
Ignacio Cases
R. Ajemian
Miao Liu
Irina Rish
Y. Tu
Gerald Tesauro
CLL
33
765
0
29 Oct 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
21
137
0
17 Jul 2018
Visual Reasoning by Progressive Module Networks
Visual Reasoning by Progressive Module Networks
Seung Wook Kim
Makarand Tapaswi
Sanja Fidler
ReLM
LRM
28
12
0
06 Jun 2018
Soft Layer-Specific Multi-Task Summarization with Entailment and
  Question Generation
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
18
135
0
28 May 2018
Learning to Multitask
Learning to Multitask
Yu Zhang
Ying Wei
Qiang Yang
27
53
0
19 May 2018
Cross-connected Networks for Multi-task Learning of Detection and
  Segmentation
Cross-connected Networks for Multi-task Learning of Detection and Segmentation
Seiichiro Fukuda
Ryota Yoshihashi
Rei Kawakami
Shaodi You
M. Iida
T. Naemura
21
15
0
15 May 2018
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for
  Simultaneous Depth Estimation and Scene Parsing
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
Dan Xu
Wanli Ouyang
Xiaogang Wang
N. Sebe
MoE
27
474
0
11 May 2018
Parameter Transfer Unit for Deep Neural Networks
Parameter Transfer Unit for Deep Neural Networks
Yinghua Zhang
Yu Zhang
Qiang Yang
11
136
0
23 Apr 2018
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
Guangneng Hu
Yu Zhang
Qiang Yang
25
399
0
18 Apr 2018
Monocular Depth Estimation by Learning from Heterogeneous Datasets
Monocular Depth Estimation by Learning from Heterogeneous Datasets
A. Gurram
O. Urfalioglu
Ibrahim Halfaoui
Fahd Bouzaraa
Antonio M. López
MDE
26
14
0
21 Mar 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask
  Sharing---and Back
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back
Elliot Meyerson
Risto Miikkulainen
25
45
0
11 Mar 2018
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