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Gradient Surgery for Multi-Task Learning
v1v2v3v4 (latest)

Gradient Surgery for Multi-Task Learning

19 January 2020
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
ArXiv (abs)PDFHTML

Papers citing "Gradient Surgery for Multi-Task Learning"

50 / 694 papers shown
Title
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
Chongyi Zheng
Benjamin Eysenbach
Homer Walke
Patrick Yin
Kuan Fang
Ruslan Salakhutdinov
Sergey Levine
OffRLSSL
174
7
0
06 Jun 2023
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale
  Training of Physics-informed Neural Networks
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks
J. Yao
Chang Su
Zhongkai Hao
Songming Liu
Hang Su
Jun Zhu
ODLPINNAI4CE
103
17
0
05 Jun 2023
Biologically-Motivated Learning Model for Instructed Visual Processing
Biologically-Motivated Learning Model for Instructed Visual Processing
R. Abel
S. Ullman
111
0
0
04 Jun 2023
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference
  in Low Resource Settings
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings
Daniel Rotem
Michael Hassid
Jonathan Mamou
Roy Schwartz
109
6
0
04 Jun 2023
Efficient Multi-Task and Transfer Reinforcement Learning with
  Parameter-Compositional Framework
Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework
Lingfeng Sun
Haichao Zhang
Wei Xu
Masayoshi Tomizuka
165
10
0
02 Jun 2023
Addressing Negative Transfer in Diffusion Models
Addressing Negative Transfer in Diffusion Models
Hyojun Go
Jinyoung Kim
Yunsung Lee
Seunghyun Lee
Shinhyeok Oh
Hyeongdon Moon
Seungtaek Choi
DiffMVLM
244
27
0
01 Jun 2023
Three-Way Trade-Off in Multi-Objective Learning: Optimization,
  Generalization and Conflict-Avoidance
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
Lisha Chen
H. Fernando
Yiming Ying
Tianyi Chen
139
28
0
31 May 2023
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
Jiaqiang Li
Xiaochang Hu
Yifei Shi
L. Zeng
310
3
0
31 May 2023
Independent Component Alignment for Multi-Task Learning
Independent Component Alignment for Multi-Task Learning
Dmitry Senushkin
Nikolay Patakin
Arseny Kuznetsov
Anton Konushin
CVBM
120
62
0
30 May 2023
Diffusion Model is an Effective Planner and Data Synthesizer for
  Multi-Task Reinforcement Learning
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
Haoran He
Chenjia Bai
Kang Xu
Zhuoran Yang
Weinan Zhang
Dong Wang
Bingyan Zhao
Xuelong Li
DiffMOffRL
146
107
0
29 May 2023
Direction-oriented Multi-objective Learning: Simple and Provable
  Stochastic Algorithms
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms
Peiyao Xiao
Hao Ban
Kaiyi Ji
181
25
0
28 May 2023
Meta-learning For Vision-and-language Cross-lingual Transfer
Meta-learning For Vision-and-language Cross-lingual Transfer
Hanxu Hu
Frank Keller
VLM
96
3
0
24 May 2023
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A
  Case Study in Financial NLP
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP
Jingwei Ni
Zhijing Jin
Qian Wang
Mrinmaya Sachan
Markus Leippold
AIFin
106
6
0
23 May 2023
How do languages influence each other? Studying cross-lingual data
  sharing during LM fine-tuning
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning
Rochelle Choenni
Dan Garrette
Ekaterina Shutova
135
19
0
22 May 2023
Multi-behavior Self-supervised Learning for Recommendation
Multi-behavior Self-supervised Learning for Recommendation
Jingcao Xu
Chaokun Wang
Cheng Wu
Yang Song
Kai Zheng
Xiaowei Wang
Changping Wang
Guorui Zhou
Kun Gai
112
50
0
22 May 2023
Mitigating Catastrophic Forgetting in Task-Incremental Continual
  Learning with Adaptive Classification Criterion
Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion
Yun Luo
Xiaotian Lin
Zhen Yang
Fandong Meng
Jie Zhou
Yue Zhang
CLL
92
6
0
20 May 2023
Multi-Task Models Adversarial Attacks
Multi-Task Models Adversarial Attacks
Lijun Zhang
Xiao Liu
Kaleel Mahmood
Caiwen Ding
Hui Guan
AAML
155
0
0
20 May 2023
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical
  Federated Learning
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning
Penghui Wei
Hongjian Dou
Shaoguo Liu
Rong Tang
Li Liu
Liangji Wang
Bo Zheng
FedML
104
14
0
15 May 2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
Ondrej Bohdal
Yinbing Tian
Yongshuo Zong
Ruchika Chavhan
Da Li
Henry Gouk
Li Guo
Timothy M. Hospedales
163
6
0
12 May 2023
Multi-Task Structural Learning using Local Task Similarity induced
  Neuron Creation and Removal
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
Naresh Gurulingan
Bahram Zonooz
Elahe Arani
103
2
0
30 Apr 2023
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation
Suman Saha
Lukas Hoyer
Anton Obukhov
Dengxin Dai
Luc Van Gool
158
16
0
27 Apr 2023
Generating Adversarial Examples with Task Oriented Multi-Objective
  Optimization
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization
Anh-Vu Bui
Trung Le
He Zhao
Quan Hung Tran
Paul Montague
Dinh Q. Phung
AAML
93
2
0
26 Apr 2023
Provably Feedback-Efficient Reinforcement Learning via Active Reward
  Learning
Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning
Dingwen Kong
Lin F. Yang
132
14
0
18 Apr 2023
Chinese Open Instruction Generalist: A Preliminary Release
Chinese Open Instruction Generalist: A Preliminary Release
Ge Zhang
Yemin Shi
Ruibo Liu
Ruibin Yuan
Yizhi Li
...
Zhaoqun Li
Zekun Wang
Chenghua Lin
Wen-Fen Huang
Jie Fu
ALM
175
33
0
17 Apr 2023
Structured Pruning for Multi-Task Deep Neural Networks
Structured Pruning for Multi-Task Deep Neural Networks
Siddhant Garg
Lijun Zhang
Hui Guan
75
1
0
13 Apr 2023
On the Pareto Front of Multilingual Neural Machine Translation
On the Pareto Front of Multilingual Neural Machine Translation
Liang Chen
Shuming Ma
Dongdong Zhang
Furu Wei
Baobao Chang
MoE
112
7
0
06 Apr 2023
A Transformer-Based Deep Learning Approach for Fairly Predicting
  Post-Liver Transplant Risk Factors
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors
Can Li
Xiaoqian Jiang
Kai Zhang
MedIm
96
18
0
05 Apr 2023
CGDTest: A Constrained Gradient Descent Algorithm for Testing Neural
  Networks
CGDTest: A Constrained Gradient Descent Algorithm for Testing Neural Networks
Vineel Nagisetty
Laura Graves
Guanting Pan
Piyush Jha
Vijay Ganesh
AAMLOOD
84
1
0
04 Apr 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
Rebecca S Stone
Nishant Ravikumar
A. Bulpitt
David C. Hogg
BDL
121
0
0
29 Mar 2023
Identification of Negative Transfers in Multitask Learning Using
  Surrogate Models
Identification of Negative Transfers in Multitask Learning Using Surrogate Models
Dongyue Li
Huy Le Nguyen
Hongyang R. Zhang
113
15
0
25 Mar 2023
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and
  Temporal Physiological Measurements
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements
Girish Narayanswamy
Yujia Liu
Yuzhe Yang
Chengqian Ma
Xin Liu
Daniel J. McDuff
Shwetak N. Patel
136
23
0
21 Mar 2023
Efficient Diffusion Training via Min-SNR Weighting Strategy
Efficient Diffusion Training via Min-SNR Weighting Strategy
Tiankai Hang
Shuyang Gu
Chen Li
Jianmin Bao
Dong Chen
Han Hu
Xin Geng
B. Guo
205
181
0
16 Mar 2023
Improving physics-informed neural networks with meta-learned
  optimization
Improving physics-informed neural networks with meta-learned optimization
Alexander Bihlo
PINN
144
23
0
13 Mar 2023
ViM: Vision Middleware for Unified Downstream Transferring
ViM: Vision Middleware for Unified Downstream Transferring
Yutong Feng
Biao Gong
Jianwen Jiang
Yiliang Lv
Yujun Shen
Deli Zhao
Jingren Zhou
125
2
0
13 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based
  Meta-Learning
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning
Min Zhang
Zifeng Zhuang
Zhitao Wang
Xuetao Zhang
Wen-Bin Li
97
5
0
12 Mar 2023
Continual Visual Reinforcement Learning with A Life-Long World Model
Continual Visual Reinforcement Learning with A Life-Long World Model
Wendong Zhang
Wendong Zhang
Geng Chen
Siyu Gao
Yunbo Wang
Xiaokang Yang
Xiaokang Yang
CLL
167
4
0
12 Mar 2023
Gradient Coordination for Quantifying and Maximizing Knowledge
  Transference in Multi-Task Learning
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning
Xuanhua Yang
Jianxin R. Zhao
Shaoguo Liu
Liangji Wang
Bo Zheng
87
1
0
10 Mar 2023
HumanBench: Towards General Human-centric Perception with Projector
  Assisted Pretraining
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
Weizhen He
Cheng Chen
Qingsong Xie
Meilin Chen
Yizhou Wang
...
Feng Zhu
Haiyang Yang
Li Yi
Rui Zhao
Wanli Ouyang
VLM
154
41
0
10 Mar 2023
SemEval-2023 Task 10: Explainable Detection of Online Sexism
SemEval-2023 Task 10: Explainable Detection of Online Sexism
Hannah Rose Kirk
Wenjie Yin
Bertie Vidgen
Paul Röttger
135
129
0
07 Mar 2023
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start
  Recommendation
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation
Minchang Kim
Yongjin Yang
Jung Hyun Ryu
Taesup Kim
OffRL
68
7
0
28 Feb 2023
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked
  Image Modeling For Label-Efficient Representations
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
Ziyu Jiang
Yinpeng Chen
Mengchen Liu
Dongdong Chen
Xiyang Dai
Lu Yuan
Zicheng Liu
Zhangyang Wang
SSLVLMCLIP
126
19
0
27 Feb 2023
Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust
  Speech Recognition
Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition
Yuchen Hu
Chen Chen
Ruizhe Li
Qiu-shi Zhu
Eng Siong Chng
152
15
0
22 Feb 2023
Recon: Reducing Conflicting Gradients from the Root for Multi-Task
  Learning
Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning
Guangyuan Shi
Qimai Li
Wenlong Zhang
Jiaxin Chen
Xiao-Ming Wu
164
47
0
22 Feb 2023
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio
  for Multi-Task Learning
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning
Caoyun Fan
Wenqing Chen
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
56
3
0
18 Feb 2023
Task-Specific Skill Localization in Fine-tuned Language Models
Task-Specific Skill Localization in Fine-tuned Language Models
A. Panigrahi
Nikunj Saunshi
Haoyu Zhao
Sanjeev Arora
MoMe
143
85
0
13 Feb 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
Salah Ghamizi
Jingfeng Zhang
Maxime Cordy
Mike Papadakis
Masashi Sugiyama
Yves Le Traon
AAML
96
5
0
06 Feb 2023
Multipath agents for modular multitask ML systems
Multipath agents for modular multitask ML systems
Andrea Gesmundo
109
1
0
06 Feb 2023
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained
  Models
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models
Byunggyu Lew
Donghyun Son
Buru Chang
103
10
0
03 Feb 2023
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary
  Data
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data
Alon Albalak
Colin Raffel
William Yang Wang
145
13
0
01 Feb 2023
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
Grace Zhang
Ayush Jain
Injune Hwang
Shao-Hua Sun
Joseph J. Lim
130
5
0
01 Feb 2023
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