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One Model To Learn Them All

One Model To Learn Them All

16 June 2017
Lukasz Kaiser
Aidan Gomez
Noam M. Shazeer
Ashish Vaswani
Niki Parmar
Llion Jones
Jakob Uszkoreit
    VLM
    ViT
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Papers citing "One Model To Learn Them All"

21 / 71 papers shown
Title
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
OmniNet: A unified architecture for multi-modal multi-task learning
OmniNet: A unified architecture for multi-modal multi-task learning
Subhojeet Pramanik
Priyanka Agrawal
A. Hussain
27
41
0
17 Jul 2019
DSNet: Automatic Dermoscopic Skin Lesion Segmentation
DSNet: Automatic Dermoscopic Skin Lesion Segmentation
Md. Kamrul Hasan
Lavsen Dahal
P. Samarakoon
F. I. Tushar
Robert Martí Marly
SSeg
18
148
0
09 Jul 2019
Towards Universal Object Detection by Domain Attention
Towards Universal Object Detection by Domain Attention
Xudong Wang
Zhaowei Cai
Dashan Gao
Nuno Vasconcelos
OOD
25
193
0
09 Apr 2019
Input Combination Strategies for Multi-Source Transformer Decoder
Input Combination Strategies for Multi-Source Transformer Decoder
Jindrich Libovický
Jindřich Helcl
David Marecek
27
73
0
12 Nov 2018
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
36
66
0
19 Jun 2018
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from
  CT-Volumes
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes
Ahmed Taha
P. Lo
Junning Li
T. Zhao
SSeg
3DPC
17
56
0
18 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
20
135
0
28 May 2018
Global-Locally Self-Attentive Dialogue State Tracker
Global-Locally Self-Attentive Dialogue State Tracker
Victor Zhong
Caiming Xiong
R. Socher
13
188
0
19 May 2018
Unifying and Merging Well-trained Deep Neural Networks for Inference
  Stage
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage
Yi-Min Chou
Yi-Ming Chan
Jia-Hong Lee
Chih-Yi Chiu
Chu-Song Chen
MoMe
29
34
0
14 May 2018
Scheduled Multi-Task Learning: From Syntax to Translation
Scheduled Multi-Task Learning: From Syntax to Translation
E. Kiperwasser
Miguel Ballesteros
30
82
0
24 Apr 2018
Measuring the Intrinsic Dimension of Objective Landscapes
Measuring the Intrinsic Dimension of Objective Landscapes
Chunyuan Li
Heerad Farkhoor
Rosanne Liu
J. Yosinski
26
397
0
24 Apr 2018
Dynamic-structured Semantic Propagation Network
Dynamic-structured Semantic Propagation Network
Xiaodan Liang
Hongfei Zhou
Eric Xing
13
153
0
16 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
Evolutionary Architecture Search For Deep Multitask Networks
Evolutionary Architecture Search For Deep Multitask Networks
J. Liang
Elliot Meyerson
Risto Miikkulainen
39
120
0
10 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
29
873
0
03 Mar 2018
Distributed Prioritized Experience Replay
Distributed Prioritized Experience Replay
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
86
731
0
02 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
33
702
0
26 Feb 2018
Object-based reasoning in VQA
Object-based reasoning in VQA
Mikyas T. Desta
Larry Chen
Tomasz Kornuta
32
33
0
29 Jan 2018
Deep Learning for identifying radiogenomic associations in breast cancer
Deep Learning for identifying radiogenomic associations in breast cancer
Zhe Zhu
Ehab Albadawy
Ashirbani Saha
Jun Zhang
Michael R. Harowicz
Maciej Mazurowski
11
126
0
29 Nov 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
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