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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
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling Kin Long Kelvin Lee Carmelo Gonzales Marcel Nassar Matthew Spellings Mikhail Galkin Santiago Miret 114 16 0 12 Sep 2023
Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing Xuwei Yang Anastasis Kratsios Florian Krach Matheus Grasselli Aurelien Lucchi FedML 93 2 0 08 Sep 2023
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving Thomas E. Huang Yifan Liu Luc Van Gool Fisher Yu 132 6 0 08 Sep 2023
RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking Homanga Bharadhwaj Jay Vakil Mohit Sharma Abhi Gupta Shubham Tulsiani Vikash Kumar LM&Ro 153 163 0 05 Sep 2023
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds Marcel Hirt Domenico Campolo Victoria Leong Juan-Pablo Ortega DRL 141 1 0 01 Sep 2023
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment Felix Wagner Zeju Li Pramit Saha Konstantinos Kamnitsas MedIm 97 5 0 31 Aug 2023
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective Yuzheng Hu Ruicheng Xian Qilong Wu Qiuling Fan Lang Yin Han Zhao 128 51 0 27 Aug 2023
Label Budget Allocation in Multi-Task Learning Ximeng Sun Kihyuk Sohn Kate Saenko Clayton Mellina Xiao Bian 126 0 0 24 Aug 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 262 3 0 24 Aug 2023
Vision Transformer Adapters for Generalizable Multitask Learning Deblina Bhattacharjee Sabine Süsstrunk Mathieu Salzmann ViT 107 11 0 23 Aug 2023
Dual-Balancing for Multi-Task Learning Xiaoyuan Zhang Weisen Jiang Feiyang Ye Yu Zhang Pengguang Chen Yingke Chen Shu Liu James T. Kwok CVBM 102 18 0 23 Aug 2023
Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction Qi Li Ziyi Shen Qian Li D. Barratt T. Dowrick Matthew J. Clarkson Tom Vercauteren Yipeng Hu 56 1 0 20 Aug 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi Yushun Dong Qiaoyu Tan Jundong Li Ninghao Liu 169 29 0 18 Aug 2023
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data Xinting Liao Chaochao Chen Weiming Liu Pengyang Zhou Huabin Zhu Shuheng Shen Weiqiang Wang Mengling Hu Yanchao Tan Xiaolin Zheng FedML 97 7 0 17 Aug 2023
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation Liangcai Su Junwei Pan Ximei Wang Xi Xiao Shijie Quan Xihua Chen Jie Jiang 100 28 0 16 Aug 2023
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation Qi Liu Zhilong Zhou Gangwei Jiang Bo Xiao Defu Lian 83 17 0 11 Aug 2023
Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction Yangyang Xu Jianlong Wu Bernard Ghanemm Guang Dai Du Bo Dacheng Tao 137 1 0 10 Aug 2023
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment Wentao Ning Xiao Yan Weiwen Liu R. Cheng Rui Zhang Bo Tang 128 25 0 10 Aug 2023
Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation Siao Liu Zhaoyu Chen Yang Liu Yuzheng Wang Dingkang Yang ... Ziqing Zhou Xie Yi Wei Li Wenqiang Zhang Zhongxue Gan 130 28 0 02 Aug 2023
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks Jun Guo Aishan Liu Xingyu Zheng Yaning Tan Yisong Xiao Yichao Wu Xianglong Liu AAML 130 13 0 02 Aug 2023
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration Zhiji Huang Sihao Lin Guiyu Liu Mukun Luo Chao Ye Hang Xu Xiaojun Chang Xiaodan Liang 116 10 0 31 Jul 2023
Improvable Gap Balancing for Multi-Task Learning Yanqi Dai Nanyi Fei Zhiwu Lu 124 7 0 28 Jul 2023
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts Hanrong Ye Dan Xu MoE 120 35 0 28 Jul 2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models Kecheng Zheng Wei Wu Ruili Feng Kai Zhu Jiawei Liu Deli Zhao Zhengjun Zha Wei Chen Yujun Shen VLM 99 11 0 27 Jul 2023
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation Jianan Fan Dongnan Liu Hang Chang Heng-Chiao Huang Mei Chen Weidong (Tom) Cai OOD 99 9 0 27 Jul 2023
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review Maxime Fontana Michael W. Spratling Miaojing Shi 123 8 0 25 Jul 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning Weiming Zhuang Yonggang Wen Lingjuan Lyu Shuai Zhang FedML 95 18 0 21 Jul 2023
Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking Xuewei Wang Qiang Jin Shengyu Huang Min Zhang Xi Liu ... Jiyan Yang Ellie Wen Sagar Chordia Wenlin Chen Qin Huang 64 5 0 12 Jul 2023
DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis Zhiwen Yang Yang Zhou Hui Zhang Bingzheng Wei Yubo Fan Yan Xu MedIm 85 3 0 11 Jul 2023
Hyperspherical Embedding for Point Cloud Completion Junming Zhang Haomeng Zhang Ram Vasudevan Matthew Johnson-Roberson 3DPC 102 3 0 11 Jul 2023
Gradient Surgery for One-shot Unlearning on Generative Model Seohui Bae Seoyoon Kim Hyemin Jung Woohyung Lim BDL MU 147 12 0 10 Jul 2023
Learning to Group Auxiliary Datasets for Molecule Ting Huang Ziniu Hu Rex Ying 93 0 0 08 Jul 2023
Improving Multitask Retrieval by Promoting Task Specialization Wenzheng Zhang Chenyan Xiong K. Stratos Arnold Overwijk LRM 134 2 0 01 Jul 2023
Common Knowledge Learning for Generating Transferable Adversarial Examples Rui Yang Yuanfang Guo Junfu Wang Jiantao Zhou Yun-an Wang AAML 93 1 0 01 Jul 2023
FedBone: Towards Large-Scale Federated Multi-Task Learning Yiqiang Chen Teng Zhang Xinlong Jiang Qian Chen Chenlong Gao Wuliang Huang FedML AI4CE 159 14 0 30 Jun 2023
Learning to Modulate pre-trained Models in RL Thomas Schmied M. Hofmarcher Fabian Paischer Razvan Pascanu Sepp Hochreiter CLL OffRL 172 23 0 26 Jun 2023
GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration Haoran Dou N. Bi Luyi Han Yuhao Huang R. Mann Xin Yang Dong Ni Nishant Ravikumar Alejandro F. Frangi Yunzhi Huang MedIm 90 7 0 26 Jun 2023
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation Dongyuan Li Liangwei Yang Chen Wang Zhiwei Liu Hao Peng Chenyu You Philip S. Yu 77 24 0 26 Jun 2023
Anomaly Detection with Score Distribution Discrimination Minqi Jiang Songqiao Han Hailiang Huang 132 13 0 26 Jun 2023
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities Dongyue Li Haotian Ju Aneesh Sharma Hongyang R. Zhang 226 10 0 24 Jun 2023
One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments Yufei Wang Zhanyi Sun Zackory M. Erickson David Held 115 31 0 21 Jun 2023
Shape Guided Gradient Voting for Domain Generalization Jiaqi Xu Yuwang Wang Xuejin Chen 110 0 0 19 Jun 2023
A Universal Semantic-Geometric Representation for Robotic Manipulation Tong Zhang Yingdong Hu Hanchen Cui Hang Zhao Yang Gao 172 22 0 18 Jun 2023
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models A. Jaiswal Shiwei Liu Tianlong Chen Ying Ding Zhangyang Wang VLM 139 21 0 18 Jun 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 165 10 0 16 Jun 2023
Meta Generative Flow Networks with Personalization for Task-Specific Adaptation Xinyuan Ji Xu Zhang Wei Xi Haozhi Wang Olga Gadyatskaya Yinchuan Li 91 1 0 16 Jun 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Emilie Grégoire M. H. Chaudhary Sam Verboven 110 4 0 07 Jun 2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards Alexandre Ramé Guillaume Couairon Mustafa Shukor Corentin Dancette Jean-Baptiste Gaya Laure Soulier Matthieu Cord MoMe 167 175 0 07 Jun 2023
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter Ajay Jaiswal Shiwei Liu Tianlong Chen Zhangyang Wang VLM 144 39 0 06 Jun 2023
FAMO: Fast Adaptive Multitask Optimization B. Liu Yihao Feng Peter Stone Qian Liu 185 52 0 06 Jun 2023