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Understanding and Improving Information Transfer in Multi-Task Learning

Understanding and Improving Information Transfer in Multi-Task Learning

International Conference on Learning Representations (ICLR), 2020
2 May 2020
Sen Wu
Hongyang R. Zhang
Christopher Ré
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Understanding and Improving Information Transfer in Multi-Task Learning"

50 / 109 papers shown
Title
Efficient Computation Sharing for Multi-Task Visual Scene Understanding
Efficient Computation Sharing for Multi-Task Visual Scene UnderstandingIEEE International Conference on Computer Vision (ICCV), 2023
Sara Shoouri
Mingyu Yang
Zichen Fan
Hun-Seok Kim
MoE
149
5
0
16 Mar 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths
Provable Pathways: Learning Multiple Tasks over Multiple PathsAAAI Conference on Artificial Intelligence (AAAI), 2023
Yingcong Li
Samet Oymak
MoE
135
4
0
08 Mar 2023
Estimating Treatment Effects from Irregular Time Series Observations
  with Hidden Confounders
Estimating Treatment Effects from Irregular Time Series Observations with Hidden ConfoundersAAAI Conference on Artificial Intelligence (AAAI), 2023
Defu Cao
James Enouen
Yujing Wang
Xiangchen Song
Chuizheng Meng
Hao Niu
Yan Liu
CML
112
26
0
04 Mar 2023
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix
  Embedding
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding
Zhangyang Gao
Yuqi Hu
Cheng Tan
Stan Z. Li
196
15
0
14 Feb 2023
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary
  Data
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary DataNeural Information Processing Systems (NeurIPS), 2023
Alon Albalak
Colin Raffel
William Yang Wang
165
13
0
01 Feb 2023
Task-Adaptive Meta-Learning Framework for Advancing Spatial
  Generalizability
Task-Adaptive Meta-Learning Framework for Advancing Spatial GeneralizabilityAAAI Conference on Artificial Intelligence (AAAI), 2022
Zhexiong Liu
Licheng Liu
Yiqun Xie
Zhenong Jin
X. Jia
113
12
0
10 Dec 2022
Fair Generative Models via Transfer Learning
Fair Generative Models via Transfer LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Christopher T. H. Teo
Milad Abdollahzadeh
Ngai-Man Cheung
157
28
0
02 Dec 2022
GLUE-X: Evaluating Natural Language Understanding Models from an
  Out-of-distribution Generalization Perspective
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Linyi Yang
Shuibai Zhang
Libo Qin
Yafu Li
Yidong Wang
Hanmeng Liu
Yongfeng Zhang
Xingxu Xie
Yue Zhang
ELM
409
91
0
15 Nov 2022
Task Compass: Scaling Multi-task Pre-training with Task Prefix
Task Compass: Scaling Multi-task Pre-training with Task PrefixConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zhuosheng Zhang
Shuohang Wang
Yichong Xu
Yuwei Fang
Wenhao Yu
Yang Liu
Han Zhao
Chenguang Zhu
Michael Zeng
SSLLRM
118
19
0
12 Oct 2022
A Kernel-Based View of Language Model Fine-Tuning
A Kernel-Based View of Language Model Fine-TuningInternational Conference on Machine Learning (ICML), 2022
Sadhika Malladi
Alexander Wettig
Dingli Yu
Danqi Chen
Sanjeev Arora
VLM
236
86
0
11 Oct 2022
Universal Prompt Tuning for Graph Neural Networks
Universal Prompt Tuning for Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Taoran Fang
Yunchao Zhang
Yang Yang
Chunping Wang
Lei Chen
247
86
0
30 Sep 2022
On Transfer of Adversarial Robustness from Pretraining to Downstream
  Tasks
On Transfer of Adversarial Robustness from Pretraining to Downstream TasksNeural Information Processing Systems (NeurIPS), 2022
Laura Fee Nern
Harsh Raj
Maurice Georgi
Yash Sharma
AAML
182
6
0
07 Aug 2022
Saliency-Regularized Deep Multi-Task Learning
Saliency-Regularized Deep Multi-Task LearningKnowledge Discovery and Data Mining (KDD), 2022
Guangji Bai
Liang Zhao
120
12
0
03 Jul 2022
DNA: Proximal Policy Optimization with a Dual Network Architecture
DNA: Proximal Policy Optimization with a Dual Network ArchitectureNeural Information Processing Systems (NeurIPS), 2022
Mathew H. Aitchison
Penny Sweetser
OffRL
80
6
0
20 Jun 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale
  Knowledge
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgeNeural Information Processing Systems (NeurIPS), 2022
Linxi Fan
Guanzhi Wang
Yunfan Jiang
Ajay Mandlekar
Yuncong Yang
Haoyi Zhu
Andrew Tang
De-An Huang
Yuke Zhu
Anima Anandkumar
LM&Ro
277
467
0
17 Jun 2022
Modularized Transfer Learning with Multiple Knowledge Graphs for
  Zero-shot Commonsense Reasoning
Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense ReasoningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Yu Jin Kim
Beong-woo Kwak
Youngwook Kim
Reinald Kim Amplayo
Seung-won Hwang
Jinyoung Yeo
LRM
110
16
0
08 Jun 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based
  Generalization Guarantees
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization GuaranteesInternational Conference on Machine Learning (ICML), 2022
Haotian Ju
Dongyue Li
Hongyang R. Zhang
242
34
0
06 Jun 2022
Compressed Hierarchical Representations for Multi-Task Learning and Task
  Clustering
Compressed Hierarchical Representations for Multi-Task Learning and Task ClusteringIEEE International Joint Conference on Neural Network (IJCNN), 2022
João Machado de Freitas
Sebastian Berg
Bernhard C. Geiger
Manfred Mücke
151
2
0
31 May 2022
InstructDial: Improving Zero and Few-shot Generalization in Dialogue
  through Instruction Tuning
InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction TuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Prakhar Gupta
Cathy Jiao
Yi-Ting Yeh
Shikib Mehri
M. Eskénazi
Jeffrey P. Bigham
ALM
208
53
0
25 May 2022
Improving Multi-Task Generalization via Regularizing Spurious
  Correlation
Improving Multi-Task Generalization via Regularizing Spurious CorrelationNeural Information Processing Systems (NeurIPS), 2022
Ziniu Hu
Zhe Zhao
Xinyang Yi
Tiansheng Yao
Lichan Hong
Luke Huan
Ed H. Chi
OODLRM
225
37
0
19 May 2022
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal
  Expression Extraction
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction
Dongyuan Li
William Groves
T. K. Saha
Joel R. Tetreault
Alex Jaimes
Hao Peng
Philip S. Yu
77
16
0
03 May 2022
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets
  From Large Pre-Trained Models
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained ModelsIEEE Computational Intelligence Magazine (IEEE CIM), 2022
Han Xiang Choong
Yew-Soon Ong
Abhishek Gupta
Caishun Chen
Ray Lim
96
7
0
02 May 2022
Control-Aware Prediction Objectives for Autonomous Driving
Control-Aware Prediction Objectives for Autonomous DrivingIEEE International Conference on Robotics and Automation (ICRA), 2022
R. McAllister
Blake Wulfe
Jean Mercat
Logan Ellis
Sergey Levine
Adrien Gaidon
89
22
0
28 Apr 2022
KOBEST: Korean Balanced Evaluation of Significant Tasks
KOBEST: Korean Balanced Evaluation of Significant TasksInternational Conference on Computational Linguistics (COLING), 2022
Dohyeong Kim
Myeongjun Jang
D. Kwon
Eric Davis
ALM
113
35
0
09 Apr 2022
Provable and Efficient Continual Representation Learning
Provable and Efficient Continual Representation Learning
Yingcong Li
Mingchen Li
M. Salman Asif
Samet Oymak
CLL
162
16
0
03 Mar 2022
HyperPrompt: Prompt-based Task-Conditioning of Transformers
HyperPrompt: Prompt-based Task-Conditioning of TransformersInternational Conference on Machine Learning (ICML), 2022
Yun He
H. Zheng
Yi Tay
Jai Gupta
Yu Du
...
Yaguang Li
Zhaoji Chen
Donald Metzler
Heng-Tze Cheng
Ed H. Chi
LRMVLM
225
105
0
01 Mar 2022
Understanding Contrastive Learning Requires Incorporating Inductive
  Biases
Understanding Contrastive Learning Requires Incorporating Inductive BiasesInternational Conference on Machine Learning (ICML), 2022
Nikunj Saunshi
Jordan T. Ash
Surbhi Goel
Dipendra Kumar Misra
Cyril Zhang
Sanjeev Arora
Sham Kakade
A. Krishnamurthy
SSL
183
124
0
28 Feb 2022
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-DistributionInternational Conference on Learning Representations (ICLR), 2022
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Abigail Z. Jacobs
OODD
251
801
0
21 Feb 2022
Adaptive and Robust Multi-Task Learning
Adaptive and Robust Multi-Task LearningAnnals of Statistics (Ann. Stat.), 2022
Yaqi Duan
Kaizheng Wang
299
36
0
10 Feb 2022
Gap Minimization for Knowledge Sharing and Transfer
Gap Minimization for Knowledge Sharing and TransferJournal of machine learning research (JMLR), 2022
Boyu Wang
Jorge Armando Mendez Mendez
Changjian Shui
Fan Zhou
Di Wu
Gezheng Xu
Christian Gagné
Eric Eaton
205
12
0
26 Jan 2022
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation
GearNet: Stepwise Dual Learning for Weakly Supervised Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2022
Renchunzi Xie
Jianguo Huang
Lei Feng
Bo An
156
12
0
16 Jan 2022
Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big
  Task
Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task
Quan Feng
Songcan Chen
127
5
0
07 Jan 2022
Analysis and Prediction of NLP Models Via Task Embeddings
Analysis and Prediction of NLP Models Via Task Embeddings
Damien Sileo
Marie-Francine Moens
75
4
0
10 Dec 2021
Transfer Learning in Conversational Analysis through Reusing
  Preprocessing Data as Supervisors
Transfer Learning in Conversational Analysis through Reusing Preprocessing Data as Supervisors
Joshua Y. Kim
Tongliang Liu
K. Yacef
117
0
0
02 Dec 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks
Improved Regularization and Robustness for Fine-tuning in Neural Networks
Dongyue Li
Hongyang R. Zhang
NoLa
182
64
0
08 Nov 2021
Multi-Task Learning based Convolutional Models with Curriculum Learning
  for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow
Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow
Haitz Sáez de Ocáriz Borde
David Sondak
P. Protopapas
AI4CE
120
3
0
30 Oct 2021
Pareto Navigation Gradient Descent: a First-Order Algorithm for
  Optimization in Pareto Set
Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set
Mao Ye
Qiang Liu
199
12
0
17 Oct 2021
Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with
  Semi-Supervised and Self-Supervised Learning
Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning
Arjun D Desai
Batu Mehmet Ozturkler
Christopher M. Sandino
R. Boutin
M. Willis
S. Vasanawala
B. Hargreaves
Christopher Ré
John M. Pauly
Akshay S. Chaudhari
186
3
0
30 Sep 2021
On the Complementarity of Data Selection and Fine Tuning for Domain
  Adaptation
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation
Dan Iter
David Grangier
165
11
0
15 Sep 2021
Efficiently Identifying Task Groupings for Multi-Task Learning
Efficiently Identifying Task Groupings for Multi-Task LearningNeural Information Processing Systems (NeurIPS), 2021
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
422
281
1
10 Sep 2021
A Flexible Multi-Task Model for BERT Serving
A Flexible Multi-Task Model for BERT Serving
Tianwen Wei
Jianwei Qi
Shenghuang He
84
8
0
12 Jul 2021
Disentangling Transfer and Interference in Multi-Domain Learning
Disentangling Transfer and Interference in Multi-Domain Learning
Yipeng Zhang
Tyler L. Hayes
Christopher Kanan
208
3
0
02 Jul 2021
Pay Better Attention to Attention: Head Selection in Multilingual and
  Multi-Domain Sequence Modeling
Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence ModelingNeural Information Processing Systems (NeurIPS), 2021
Hongyu Gong
Yun Tang
J. Pino
Xian Li
100
12
0
21 Jun 2021
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task
  Learning
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task LearningKnowledge Discovery and Data Mining (KDD), 2021
Yuyan Wang
Xuezhi Wang
Alex Beutel
Flavien Prost
Jilin Chen
Ed H. Chi
FaML
102
53
0
04 Jun 2021
Cross-Network Learning with Partially Aligned Graph Convolutional
  Networks
Cross-Network Learning with Partially Aligned Graph Convolutional NetworksKnowledge Discovery and Data Mining (KDD), 2021
Meng Jiang
GNN
85
12
0
03 Jun 2021
Distribution Matching for Heterogeneous Multi-Task Learning: a
  Large-scale Face Study
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study
D. Kollias
V. Sharmanska
Stefanos Zafeiriou
CVBM
142
242
0
08 May 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLPConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
457
190
0
18 Apr 2021
Embedding Adaptation is Still Needed for Few-Shot Learning
Embedding Adaptation is Still Needed for Few-Shot Learning
Sébastien M. R. Arnold
Fei Sha
VLM
143
7
0
15 Apr 2021
Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution
  Kernel Pairs
Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel PairsKnowledge-Based Systems (KBS), 2021
Quan Feng
Songcan Chen
109
6
0
29 Jan 2021
Comparing Deep Learning strategies for paired but unregistered
  multimodal segmentation of the liver in T1 and T2-weighted MRI
Comparing Deep Learning strategies for paired but unregistered multimodal segmentation of the liver in T1 and T2-weighted MRI
V. Couteaux
Mathilde Trintignac
O. Nempont
G. Pizaine
A. Vlachomitrou
P. Valette
L. Milot
Isabelle Bloch
111
3
0
18 Jan 2021
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