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Latent Multi-task Architecture Learning

Latent Multi-task Architecture Learning

23 May 2017
Sebastian Ruder
Joachim Bingel
Isabelle Augenstein
Anders Søgaard
    CVBM
ArXivPDFHTML

Papers citing "Latent Multi-task Architecture Learning"

26 / 26 papers shown
Title
Multi-task Learning for Real-time Autonomous Driving Leveraging
  Task-adaptive Attention Generator
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator
Wonhyeok Choi
Mingyu Shin
Hyukzae Lee
Jaehoon Cho
Jaehyeon Park
Sunghoon Im
50
1
0
06 Mar 2024
DEPHN: Different Expression Parallel Heterogeneous Network using virtual
  gradient optimization for Multi-task Learning
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning
Menglin Kong
Ri-Qi Su
Shaojie Zhao
Muzhou Hou
MoE
31
0
0
24 Jul 2023
Modeling Task Relationships in Multi-variate Soft Sensor with Balanced
  Mixture-of-Experts
Modeling Task Relationships in Multi-variate Soft Sensor with Balanced Mixture-of-Experts
Yuxin Huang
Hao Wang
Zhaoran Liu
Licheng Pan
Haozhe Li
Xinggao Liu
MoE
40
17
0
25 May 2023
TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors
TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors
Licheng Pan
Hao Wang
Zhichao Chen
Yuxin Huang
Xinggao Liu
20
0
0
21 Feb 2023
GDOD: Effective Gradient Descent using Orthogonal Decomposition for
  Multi-Task Learning
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning
Xin Dong
Ruize Wu
Chao Xiong
Hai Li
Lei Cheng
Yong He
Shiyou Qian
Jian Cao
Linjian Mo
8
4
0
31 Jan 2023
Losses over Labels: Weakly Supervised Learning via Direct Loss
  Construction
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction
Dylan Sam
J. Zico Kolter
NoLa
OffRL
37
13
0
13 Dec 2022
Design Perspectives of Multitask Deep Learning Models and Applications
Design Perspectives of Multitask Deep Learning Models and Applications
Yeshwant Singh
Anupam Biswas
Angshuman Bora
Debashish Malakar
Subham Chakraborty
S. Bera
33
0
0
27 Sep 2022
Exploring Data Aggregation and Transformations to Generalize across
  Visual Domains
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
33
0
0
20 Aug 2021
Joint Registration and Segmentation via Multi-Task Learning for Adaptive
  Radiotherapy of Prostate Cancer
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer
M. Elmahdy
Laurens Beljaards
Sahar Yousefi
Hessam Sokooti
F. Verbeek
U. A. van der Heide
Marius Staring
27
20
0
05 May 2021
Assisting Scene Graph Generation with Self-Supervision
Assisting Scene Graph Generation with Self-Supervision
Sandeep Inuganti
V. Balasubramanian
SSL
13
7
0
08 Aug 2020
Deep Multi-task Learning for Facial Expression Recognition and Synthesis
  Based on Selective Feature Sharing
Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing
Rui Zhao
Tianshan Liu
Jun Xiao
D. Lun
K. Lam
CVBM
32
18
0
09 Jul 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
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute
  Recognition
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition
Haitian Zeng
H. Ai
Zijie Zhuang
Long Chen
17
33
0
07 Apr 2020
Learning to Multi-Task Learn for Better Neural Machine Translation
Learning to Multi-Task Learn for Better Neural Machine Translation
Poorya Zaremoodi
Gholamreza Haffari
16
3
0
10 Jan 2020
Multilingual and Multi-Aspect Hate Speech Analysis
Multilingual and Multi-Aspect Hate Speech Analysis
N. Ousidhoum
Zizheng Lin
Hongming Zhang
Yangqiu Song
Dit-Yan Yeung
24
282
0
29 Aug 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
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
20
145
0
05 Apr 2019
Advancing NLP with Cognitive Language Processing Signals
Advancing NLP with Cognitive Language Processing Signals
Nora Hollenstein
Maria Barrett
M. Troendle
Francesco Bigiolli
N. Langer
Ce Zhang
15
39
0
04 Apr 2019
Multi-task Learning for Target-dependent Sentiment Classification
Multi-task Learning for Target-dependent Sentiment Classification
Divam Gupta
Kushagra Singh
Soumen Chakrabarti
Tanmoy Chakraborty
22
8
0
08 Feb 2019
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
24
66
0
19 Jun 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
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
22
474
0
11 May 2018
Neural Machine Translation for Bilingually Scarce Scenarios: A Deep
  Multi-task Learning Approach
Neural Machine Translation for Bilingually Scarce Scenarios: A Deep Multi-task Learning Approach
Poorya Zaremoodi
Gholamreza Haffari
11
19
0
11 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural
  Discriminative Dimensionality Reduction
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
Yuan Gao
Jiayi Ma
Mingbo Zhao
Wei Liu
Alan Yuille
21
252
0
25 Jan 2018
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