Conflict-Averse Gradient Descent for Multi-task Learning

26 October 2021

Papers citing "Conflict-Averse Gradient Descent for Multi-task Learning"

50 / 189 papers shown

Title
Controllable Prompt Tuning For Balancing Group Distributional Robustness Hoang Phan Andrew Gordon Wilson Qi Lei 43 5 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 32 3 0 03 Mar 2024
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning Dohyeong Kim Mineui Hong Jeongho Park Songhwai Oh 27 0 0 01 Mar 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization Xi Lin Xiao-Yan Zhang Zhiyuan Yang Fei Liu Zhenkun Wang Qingfu Zhang 35 16 0 29 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 39 0 0 26 Feb 2024
Multimodal Instruction Tuning with Conditional Mixture of LoRA Ying Shen Zhiyang Xu Qifan Wang Yu Cheng Wenpeng Yin Lifu Huang 34 12 0 24 Feb 2024
Fair Resource Allocation in Multi-Task Learning Hao Ban Kaiyi Ji 27 10 0 23 Feb 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 29 0 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 25 6 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 42 4 0 20 Feb 2024
Multi Task Inverse Reinforcement Learning for Common Sense Reward Neta Glazer Aviv Navon Aviv Shamsian Ethan Fetaya 21 0 0 17 Feb 2024
PMGDA: A Preference-based Multiple Gradient Descent Algorithm Xiao-Yan Zhang Xi Lin Qingfu Zhang 16 7 0 14 Feb 2024
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning Idan Achituve I. Diamant Arnon Netzer Gal Chechik Ethan Fetaya UQCV 32 4 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 33 0 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 54 37 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 M. Chilimbi Han Zhao 53 7 0 03 Feb 2024
Proto-MPC: An Encoder-Prototype-Decoder Approach for Quadrotor Control in Challenging Winds Yuliang Gu Sheng Cheng N. Hovakimyan 27 2 0 27 Jan 2024
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization Feiyang Ye Baijiong Lin Xiao-Qun Cao Yu Zhang Ivor Tsang 45 6 0 17 Jan 2024
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing Jinmin He Kai Li Yifan Zang Haobo Fu Qiang Fu Junliang Xing Jian Cheng MoE 29 4 0 22 Dec 2023
Handling Cost and Constraints with Off-Policy Deep Reinforcement Learning Jared Markowitz Jesse Silverberg Gary Collins OffRL 15 0 0 30 Nov 2023
FedHCA $^2$ : Towards Hetero-Client Federated Multi-Task Learning Yuxiang Lu Suizhi Huang Yuwen Yang Shalayiding Sirejiding Yue Ding Hongtao Lu FedML 39 3 0 22 Nov 2023
Examining Common Paradigms in Multi-Task Learning Cathrin Elich Lukas Kirchdorfer Jan M. Kohler Lukas Schott 29 0 0 08 Nov 2023
Diffusion Models for Reinforcement Learning: A Survey Zhengbang Zhu Hanye Zhao Haoran He Yichao Zhong Shenyu Zhang Haoquan Guo Tingting Chen Weinan Zhang 35 59 0 02 Nov 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen Xiantong Zhen Qi Qi Wang M. Worring 19 11 0 28 Oct 2023
Audio-AdapterFusion: A Task-ID-free Approach for Efficient and Non-Destructive Multi-task Speech Recognition Hillary Ngai Rohan Agrawal Neeraj Gaur Ronny Huang Parisa Haghani P. M. Mengibar MoMe 31 0 0 17 Oct 2023
Transformer-based Multimodal Change Detection with Multitask Consistency Constraints Biyuan Liu Huaixin Chen Kun Li Michael Ying Yang 30 14 0 13 Oct 2023
Scalarization for Multi-Task and Multi-Domain Learning at Scale Amelie Royer Tijmen Blankevoort B. Bejnordi 28 17 0 13 Oct 2023
AdaMerging: Adaptive Model Merging for Multi-Task Learning Enneng Yang Zhenyi Wang Li Shen Shiwei Liu Guibing Guo Xingwei Wang Dacheng Tao MoMe 33 95 0 04 Oct 2023
Multi-task Learning with 3D-Aware Regularization Weihong Li Steven G. McDonagh A. Leonardis Hakan Bilen 26 3 0 02 Oct 2023
HarmonyDream: Task Harmonization Inside World Models Haoyu Ma Jialong Wu Ningya Feng Chenjun Xiao Dong Li Jianye Hao Jianmin Wang Mingsheng Long 33 7 0 30 Sep 2023
Multi-task View Synthesis with Neural Radiance Fields Shuhong Zheng Zhipeng Bao Martial Hebert Yu-Xiong Wang 21 4 0 29 Sep 2023
Multi-Task Cooperative Learning via Searching for Flat Minima Fuping Wu Le Zhang Yang Sun Yuanhan Mo Thomas Nichols Bartłomiej W. Papież 11 1 0 21 Sep 2023
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications Sangwook Kim T. Purdie Chris McIntosh 13 5 0 07 Sep 2023
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective Yuzheng Hu Ruicheng Xian Qilong Wu Qiuling Fan Lang Yin Han Zhao 27 39 0 27 Aug 2023
Learned Local Attention Maps for Synthesising Vessel Segmentations Yashwardhan Deo Rodrigo Bonazzola Haoran Dou Yan Xia Tianyou Wei Nishant Ravikumar Alejandro F. Frangi T. Lassila MedIm 15 0 0 24 Aug 2023
Dual-Balancing for Multi-Task Learning Baijiong Lin Weisen Jiang Feiyang Ye Yu Zhang Pengguang Chen Yingke Chen Shu Liu James T. Kwok CVBM 22 12 0 23 Aug 2023
OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes Tao Xie Kun Dai Si-Tong Lu K. Wang Zhiqiang Jiang Jin Gao Dedong Liu J. Xu Lijun Zhao Rui Li 50 9 0 23 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 28 6 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 17 15 0 16 Aug 2023
Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction Yangyang Xu Yibo Yang Bernard Ghanemm L. Zhang Du Bo Dacheng Tao 10 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 37 19 0 10 Aug 2023
Improvable Gap Balancing for Multi-Task Learning Yanqi Dai Nanyi Fei Zhiwu Lu 40 4 0 28 Jul 2023
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts Hanrong Ye Dan Xu MoE 34 26 0 28 Jul 2023
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review Maxime Fontana Michael W. Spratling Miaojing Shi 38 6 0 25 Jul 2023
Common Knowledge Learning for Generating Transferable Adversarial Examples Rui Yang Yuanfang Guo Junfu Wang Jiantao Zhou Yun-an Wang AAML 13 0 0 01 Jul 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 32 10 0 16 Jun 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Emilie Grégoire M. H. Chaudhary Sam Verboven 24 1 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 35 135 0 07 Jun 2023
FAMO: Fast Adaptive Multitask Optimization B. Liu Yihao Feng Peter Stone Qian Liu 33 30 0 06 Jun 2023
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings Daniel Rotem Michael Hassid Jonathan Mamou Roy Schwartz 17 5 0 04 Jun 2023