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Gradient Surgery for Multi-Task Learning

19 January 2020

Abhishek Gupta

Papers citing "Gradient Surgery for Multi-Task Learning"

50 / 694 papers shown

Title
Gradient-Congruity Guided Federated Sparse Training Chris Xing Tian Yibing Liu Haoliang Li Ray C.C. Cheung Shiqi Wang FedML 88 2 0 02 May 2024
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation Shangding Gu Bilgehan Sel Yuhao Ding Lu Wang Qingwei Lin Ming Jin Alois Knoll 163 16 0 02 May 2024
Tao: Re-Thinking DL-based Microarchitecture Simulation Santosh Pandey Amir Yazdanbakhsh Hang Liu AI4CE 103 3 0 16 Apr 2024
Resolve Domain Conflicts for Generalizable Remote Physiological Measurement Weiyu Sun Xinyu Zhang Hao Lu Ying-Cong Chen Yun Ge Xiao-Lin Huang Jie Yuan Yingcong Chen 134 14 0 11 Apr 2024
GO4Align: Group Optimization for Multi-Task Alignment Jiayi Shen Cheems Wang Zehao Xiao Nanne van Noord M. Worring 136 9 0 09 Apr 2024
Multi-Task Learning as enabler for General-Purpose AI-native RAN Hasan Farooq Julien Forgeat Shruti Bothe K. Čyras Md Moin 82 2 0 05 Apr 2024
Joint-Task Regularization for Partially Labeled Multi-Task Learning Kento Nishi Junsik Kim Wanhua Li Hanspeter Pfister 143 4 0 02 Apr 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment Alireza Ganjdanesh Shangqian Gao Heng-Chiao Huang 119 11 0 28 Mar 2024
FastCAR: Fast Classification And Regression Multi-Task Learning via Task Consolidation for Modelling a Continuous Property Variable of Object Classes Anoop Kini A. Jansche T. Bernthaler Gerhard Schneider 134 0 0 26 Mar 2024
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization Xiangxin Zhou Dongyu Xue Ruizhe Chen Zaixiang Zheng Liang Wang Quanquan Gu DiffM 175 28 0 25 Mar 2024
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data Xinting Liao Weiming Liu Chaochao Chen Pengyang Zhou Fengyuan Yu Huabin Zhu Binhui Yao Tao Wang Xiaolin Zheng Yanchao Tan FedML 120 11 0 25 Mar 2024
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data Hanrong Ye Dan Xu DiffM 133 10 0 22 Mar 2024
Wav2Gloss: Generating Interlinear Glossed Text from Speech Taiqi He Kwanghee Choi Lindia Tjuatja Nathaniel R. Robinson Jiatong Shi Shinji Watanabe Graham Neubig David R. Mortensen Lori S. Levin VLM 118 4 0 19 Mar 2024
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining Tushar Kataria Beatrice Knudsen Shireen Y. Elhabian DiffM MedIm 207 11 0 17 Mar 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts Shengzhuang Chen Jihoon Tack Yunqiao Yang Yee Whye Teh Jonathan Richard Schwarz Ying Wei MoE 156 5 0 13 Mar 2024
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning Yanqi Dai Dong Jing Nanyi Fei Zhiwu Lu Nanyi Fei Guoxing Yang Zhiwu Lu 142 4 0 07 Mar 2024
Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology Omar S. M. El Nahhas Georg Wolflein M. Ligero Tim Lenz M. Treeck Firas Khader Daniel Truhn Jakob Nikolas Kather 84 2 0 06 Mar 2024
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives Simone Alberto Peirone Francesca Pistilli A. Alliegro Giuseppe Averta EgoV 150 7 0 05 Mar 2024
Controllable Prompt Tuning For Balancing Group Distributional Robustness Hoang Phan Andrew Gordon Wilson Qi Lei 128 9 0 05 Mar 2024
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks Tianyu Fan Lirong Wu Yufei Huang Haitao Lin Cheng Tan Zhangyang Gao Stan Z. Li 110 3 0 03 Mar 2024
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning Dohyeong Kim Mineui Hong Jeongho Park Songhwai Oh 106 1 0 01 Mar 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization Xi Lin Xiao-Yan Zhang Zhiyuan Yang Fei Liu Zhenkun Wang Qingfu Zhang 170 23 0 29 Feb 2024
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning Xiaoyu Liu Beitong Zhou Cheng Cheng 107 4 0 27 Feb 2024
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions Tomávs Horych Martin Wessel Jan Philip Wahle Terry Ruas Jerome Wassmuth André Greiner-Petter Akiko Aizawa Bela Gipp Timo Spinde 121 4 0 27 Feb 2024
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning B. Bejnordi Gaurav Kumar Amelie Royer Christos Louizos Tijmen Blankevoort Mohsen Ghafoorian CVBM 113 1 0 26 Feb 2024
Gradient-Guided Modality Decoupling for Missing-Modality Robustness Hao Wang Shengda Luo Guosheng Hu Jianguo Zhang 100 8 0 26 Feb 2024
Multimodal Instruction Tuning with Conditional Mixture of LoRA Ying Shen Zhiyang Xu Qifan Wang Yu Cheng Wenpeng Yin Lifu Huang 94 25 0 24 Feb 2024
Fair Resource Allocation in Multi-Task Learning Hao Ban Kaiyi Ji 108 24 0 23 Feb 2024
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation Fengming Lin Yan Xia Michael MacRaild Yash Deo Haoran Dou Qiongyao Liu Nina Cheng Nishant Ravikumar Alejandro F. Frangi 102 0 0 23 Feb 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 252 2 0 23 Feb 2024
Robust Training of Federated Models with Extremely Label Deficiency Yonggang Zhang Zhiqin Yang Xinmei Tian Nannan Wang Tongliang Liu Bo Han FedML 129 6 0 22 Feb 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off Futa Waseda Ching-Chun Chang Isao Echizen AAML 207 1 0 22 Feb 2024
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study Yuwen Yang Yuxiang Lu Suizhi Huang Shalayiding Sirejiding Hongtao Lu Yue Ding FedML 141 6 0 20 Feb 2024
Multi Task Inverse Reinforcement Learning for Common Sense Reward Neta Glazer Aviv Navon Aviv Shamsian Ethan Fetaya 96 0 0 17 Feb 2024
Sobolev Training for Operator Learning Namkyeong Cho Junseung Ryu Hyung Ju Hwang 63 0 0 14 Feb 2024
MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection Xubin Wang Haojiong Shangguan Fengyi Huang Shangrui Wu Weijia Jia 94 19 0 14 Feb 2024
Topic Modeling as Multi-Objective Contrastive Optimization Thong Nguyen Xiaobao Wu Xinshuai Dong Cong-Duy Nguyen See-Kiong Ng Anh Tuan Luu 162 7 0 12 Feb 2024
Learning by Watching: A Review of Video-based Learning Approaches for Robot Manipulation Chrisantus Eze Christopher Crick SSL 161 15 0 11 Feb 2024
LESS: Selecting Influential Data for Targeted Instruction Tuning Mengzhou Xia Sadhika Malladi Suchin Gururangan Sanjeev Arora Danqi Chen 222 292 0 06 Feb 2024
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning Idan Achituve I. Diamant Arnon Netzer Gal Chechik Ethan Fetaya UQCV 158 12 0 06 Feb 2024
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement Dayou Mao Yuhao Chen Yifan Wu Maximilian Gilles Alexander Wong AAML 101 2 0 05 Feb 2024
Representation Surgery for Multi-Task Model Merging Enneng Yang Li Shen Zhenyi Wang Guibing Guo Xiaojun Chen Xingwei Wang Dacheng Tao MoMe 160 60 0 05 Feb 2024
Careful with that Scalpel: Improving Gradient Surgery with an EMA Yu-Guan Hsieh James Thornton Eugène Ndiaye Michal Klein Marco Cuturi Pierre Ablin MedIm 126 1 0 05 Feb 2024
Robust Multi-Task Learning with Excess Risks Yifei He Shiji Zhou Guojun Zhang Hyokun Yun Yi Tian Xu Belinda Zeng Trishul Chilimbi Han Zhao 138 14 0 03 Feb 2024
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels Chak Fong Chong Xinyi Fang Jielong Guo Yapeng Wang Wei Ke C. Lam Sio-Kei Im 104 2 0 30 Jan 2024
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation Vishal Dey Xia Ning AAML AI4CE 107 2 0 29 Jan 2024
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization Feiyang Ye Xiaoyuan Zhang Xiao-Qun Cao Yu Zhang Ivor Tsang 123 6 0 17 Jan 2024
Solving Continual Offline Reinforcement Learning with Decision Transformer Kaixin Huang Li Shen Chen Zhao Chun Yuan Dacheng Tao CLL OffRL 144 5 0 16 Jan 2024
Multitask Learning in Minimally Invasive Surgical Vision: A Review Oluwatosin O. Alabi Tom Vercauteren Miaojing Shi 119 7 0 16 Jan 2024
Decoupled Prototype Learning for Reliable Test-Time Adaptation Guowei Wang Changxing Ding Wentao Tan Mingkui Tan VLM 139 4 0 15 Jan 2024