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AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning

27 November 2019
Ximeng Sun
Yikang Shen
Rogerio Feris
Kate Saenko
ArXivPDFHTML

Papers citing "AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning"

50 / 53 papers shown
Title
Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems
Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems
Rakesh Nadig
Vamanan Arulchelvan
Rahul Bera
Taha Shahroodi
Gagandeep Singh
Mohammad Sadrosadati
Jisung Park
O. Mutlu
Onur Mutlu
68
0
0
26 Mar 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
Hao Mark Chen
S. Hu
Wayne Luk
Timothy M. Hospedales
Hongxiang Fan
MoMe
72
0
0
16 Mar 2025
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
Jiaqing Zhang
Mingxiang Cao
Weiying Xie
Jie Lei
Daixun Li
Wenbo Huang
Yunsong Li
Xue Yang
62
5
0
28 Jan 2025
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts
Wenju Sun
Qingyong Li
Wen Wang
Yangli-ao Geng
Boyang Li
44
3
0
28 Jan 2025
The State of Robot Motion Generation
The State of Robot Motion Generation
Kostas E. Bekris
Joe H. Doerr
Patrick Meng
Sumanth Tangirala
3DV
36
2
0
16 Oct 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning
Model-Based Transfer Learning for Contextual Reinforcement Learning
Jung-Hoon Cho
Vindula Jayawardana
Sirui Li
Cathy Wu
OffRL
50
0
0
08 Aug 2024
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
Mingcan Xiang
Steven Jiaxun Tang
Qizheng Yang
Hui Guan
Tongping Liu
VLM
39
0
0
07 Aug 2024
UnifiedNN: Efficient Neural Network Training on the Cloud
UnifiedNN: Efficient Neural Network Training on the Cloud
Xingyu Lou
Arthi Padmanabhan
Spyridon Mastorakis
FedML
46
0
0
02 Aug 2024
GO4Align: Group Optimization for Multi-Task Alignment
GO4Align: Group Optimization for Multi-Task Alignment
Jiayi Shen
Cheems Wang
Zehao Xiao
Nanne van Noord
M. Worring
32
3
0
09 Apr 2024
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
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
Yi Sun
Xin Xu
Jian Li
Xiaochang Hu
Yifei Shi
L. Zeng
32
2
0
31 May 2023
One-Step Knowledge Distillation and Fine-Tuning in Using Large
  Pre-Trained Self-Supervised Learning Models for Speaker Verification
One-Step Knowledge Distillation and Fine-Tuning in Using Large Pre-Trained Self-Supervised Learning Models for Speaker Verification
Ju-Sung Heo
Chan-yeong Lim
Ju-ho Kim
Hyun-Seo Shin
Ha-Jin Yu
29
2
0
27 May 2023
Blind Image Quality Assessment via Vision-Language Correspondence: A
  Multitask Learning Perspective
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
Weixia Zhang
Guangtao Zhai
Ying Wei
Xiaokang Yang
Kede Ma
VLM
32
170
0
27 Mar 2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
Zhen Wang
Yikang Shen
Leonid Karlinsky
Rogerio Feris
Huan Sun
Yoon Kim
VLM
VPVLM
44
107
0
06 Mar 2023
Prismer: A Vision-Language Model with Multi-Task Experts
Prismer: A Vision-Language Model with Multi-Task Experts
Shikun Liu
Linxi Fan
Edward Johns
Zhiding Yu
Chaowei Xiao
Anima Anandkumar
VLM
MLLM
44
21
0
04 Mar 2023
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion
  Tasks
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
Xiaoping Han
Xiatian Zhu
Licheng Yu
Li Zhang
Yi-Zhe Song
Tao Xiang
VLM
24
38
0
04 Mar 2023
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMe
OOD
32
73
0
22 Feb 2023
Multipath agents for modular multitask ML systems
Multipath agents for modular multitask ML systems
Andrea Gesmundo
28
1
0
06 Feb 2023
Semi-Structured Object Sequence Encoders
Semi-Structured Object Sequence Encoders
V. Rudramurthy
Riyaz Ahmad Bhat
Chulaka Gunasekara
Siva Sankalp Patel
H. Wan
Tejas I. Dhamecha
Danish Contractor
Marina Danilevsky
61
0
0
03 Jan 2023
Egocentric Video Task Translation
Egocentric Video Task Translation
Zihui Xue
Yale Song
Kristen Grauman
Lorenzo Torresani
EgoV
29
13
0
13 Dec 2022
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers
  using Synthetic Scene Data
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data
Roei Herzig
Ofir Abramovich
Elad Ben-Avraham
Assaf Arbelle
Leonid Karlinsky
Ariel Shamir
Trevor Darrell
Amir Globerson
41
16
0
08 Dec 2022
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task
  Learning
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning
Enneng Yang
Junwei Pan
Ximei Wang
Haibin Yu
Li Shen
Xihua Chen
Lei Xiao
Jie Jiang
G. Guo
38
43
0
28 Nov 2022
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared
  Network Architecture with Attentive CRF
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF
Jun Jiang
Mingyue Cheng
Qi Liu
Zhi Li
Enhong Chen
22
1
0
09 Nov 2022
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task
  Neural Architecture Search
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search
Thanh Tien Vu
Yan-Quan Zhou
Chun-Yung Wen
Yueqi Li
Jan-Michael Frahm
42
4
0
04 Oct 2022
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction
  of Epigenetic Events
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction of Epigenetic Events
Mohammad Shiri
Jiangwen Sun
13
1
0
24 Sep 2022
Curbing Task Interference using Representation Similarity-Guided
  Multi-Task Feature Sharing
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing
Naresh Gurulingan
Elahe Arani
Bahram Zonooz
22
1
0
19 Aug 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable
  Network
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network
Guimei Cao
Zhanzhan Cheng
Yunlu Xu
Duo Li
Shiliang Pu
Yi Niu
Fei Wu
CLL
23
2
0
14 Jul 2022
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields
Mingtong Zhang
Shuhong Zheng
Zhipeng Bao
M. Hebert
Yu-xiong Wang
24
12
0
09 Jun 2022
VALHALLA: Visual Hallucination for Machine Translation
VALHALLA: Visual Hallucination for Machine Translation
Yi Li
Yikang Shen
Yoon Kim
Chun-Fu Chen
Rogerio Feris
David D. Cox
Nuno Vasconcelos
MLLM
40
38
0
31 May 2022
Multi-Task Learning with Multi-Query Transformer for Dense Prediction
Multi-Task Learning with Multi-Query Transformer for Dense Prediction
Yangyang Xu
Xiangtai Li
Haobo Yuan
Yibo Yang
Lefei Zhang
ViT
28
45
0
28 May 2022
Are Multimodal Transformers Robust to Missing Modality?
Are Multimodal Transformers Robust to Missing Modality?
Mengmeng Ma
Jian Ren
Long Zhao
Davide Testuggine
Xi Peng
ViT
42
148
0
12 Apr 2022
A Tree-Structured Multi-Task Model Recommender
A Tree-Structured Multi-Task Model Recommender
Lijun Zhang
Xiao Liu
Hui Guan
LRM
VLM
32
10
0
10 Mar 2022
Auto-Lambda: Disentangling Dynamic Task Relationships
Auto-Lambda: Disentangling Dynamic Task Relationships
Shikun Liu
Stephen James
Andrew J. Davison
Edward Johns
39
75
0
07 Feb 2022
Multi-Order Networks for Action Unit Detection
Multi-Order Networks for Action Unit Detection
Gauthier Tallec
Arnaud Dapogny
Kévin Bailly
CVBM
22
12
0
01 Feb 2022
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning
  for Cancer Prognosis Prediction
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction
Kaiwen Tan
Weixian Huang
Xiaofeng Liu
Jinlong Hu
Shoubin Dong
19
42
0
22 Jan 2022
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at
  the Edge
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan
Neil Agarwal
Anand Iyer
Ganesh Ananthanarayanan
Yuanchao Shu
Nikolaos Karianakis
G. Xu
Ravi Netravali
43
59
0
19 Jan 2022
Channel Exchanging Networks for Multimodal and Multitask Dense Image
  Prediction
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction
Yikai Wang
Gang Hua
Wenbing Huang
Fengxiang He
Dacheng Tao
54
29
0
04 Dec 2021
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic
  Data
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data
Samarth Mishra
Yikang Shen
Cheng Perng Phoo
Chun-Fu Chen
Leonid Karlinsky
Kate Saenko
Venkatesh Saligrama
Rogerio Feris
26
35
0
30 Nov 2021
Multi-Task Neural Processes
Multi-Task Neural Processes
Jiayi Shen
Xiantong Zhen
M. Worring
Ling Shao
BDL
24
8
0
10 Nov 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Milad Abdollahzadeh
Touba Malekzadeh
Ngai-man Cheung
28
28
0
27 Oct 2021
Rethinking Hard-Parameter Sharing in Multi-Domain Learning
Rethinking Hard-Parameter Sharing in Multi-Domain Learning
Lijun Zhang
Qizheng Yang
Xiao Liu
Hui Guan
OOD
31
14
0
23 Jul 2021
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
Yikang Shen
Chun-Fu Chen
Quanfu Fan
Ximeng Sun
Kate Saenko
A. Oliva
Rogerio Feris
36
47
0
11 May 2021
Software/Hardware Co-design for Multi-modal Multi-task Learning in
  Autonomous Systems
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems
Cong Hao
Deming Chen
13
20
0
08 Apr 2021
RotoGrad: Gradient Homogenization in Multitask Learning
RotoGrad: Gradient Homogenization in Multitask Learning
Adrián Javaloy
Isabel Valera
21
86
0
03 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
75
980
0
03 Mar 2021
Parameter-Efficient Transfer Learning with Diff Pruning
Parameter-Efficient Transfer Learning with Diff Pruning
Demi Guo
Alexander M. Rush
Yoon Kim
13
385
0
14 Dec 2020
Measuring and Harnessing Transference in Multi-Task Learning
Measuring and Harnessing Transference in Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
28
15
0
29 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
48
609
0
10 Sep 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
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
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