Conflict-Averse Gradient Descent for Multi-task Learning

26 October 2021

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

39 / 189 papers shown

Title
Addressing Negative Transfer in Diffusion Models Hyojun Go Jinyoung Kim Yunsung Lee Seunghyun Lee Shinhyeok Oh Hyeongdon Moon Seungtaek Choi DiffM VLM 16 24 0 01 Jun 2023
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance Lisha Chen H. Fernando Yiming Ying Tianyi Chen 13 21 0 31 May 2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs Yi Sun Xin Xu J. Li Xiaochang Hu Yifei Shi L. Zeng 19 2 0 31 May 2023
Symmetry-Aware Robot Design with Structured Subgroups Heng Dong Junyu Zhang Tonghan Wang Chongjie Zhang 24 10 0 31 May 2023
Independent Component Alignment for Multi-Task Learning Dmitry Senushkin Nikolay Patakin Arseny Kuznetsov Anton Konushin CVBM 32 41 0 30 May 2023
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 DiffM OffRL 25 89 0 29 May 2023
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms Peiyao Xiao Hao Ban Kaiyi Ji 19 18 0 28 May 2023
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation V. Chauhan Jiandong Zhou Ghadeer O. Ghosheh Soheila Molaei David A. Clifton 19 8 0 25 May 2023
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 34 0 0 26 Apr 2023
Structured Pruning for Multi-Task Deep Neural Networks Siddhant Garg Lijun Zhang Hui Guan 14 1 0 13 Apr 2023
Conflict-Averse Gradient Optimization of Ensembles for Effective Offline Model-Based Optimization Sathvik Kolli 9 1 0 31 Mar 2023
Predictive Experience Replay for Continual Visual Control and Forecasting Wendong Zhang Geng Chen Xiangming Zhu Siyu Gao Yunbo Wang Xiaokang Yang CLL 42 3 0 12 Mar 2023
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning Xuanhua Yang Jianxin R. Zhao Shaoguo Liu Liangji Wang Bo Zheng 15 1 0 10 Mar 2023
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining Shixiang Tang Cheng Chen Qingsong Xie Meilin Chen Yizhou Wang ... Feng Zhu Haiyang Yang Li Yi Rui Zhao Wanli Ouyang VLM 14 35 0 10 Mar 2023
Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning Guangyuan Shi Qimai Li Wenlong Zhang Jiaxin Chen Xiao-Ming Wu 32 32 0 22 Feb 2023
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis Weiqin Zhao Shujun Wang Maximus C. F. Yeung Tianye Niu Lequan Yu 36 9 0 21 Feb 2023
Auxiliary Learning as an Asymmetric Bargaining Game Aviv Shamsian Aviv Navon Neta Glazer Kenji Kawaguchi Gal Chechik Ethan Fetaya 33 8 0 31 Jan 2023
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning Xin Dong Ruize Wu Chao Xiong Hai Li Lei Cheng Yong He Shiyou Qian Jian Cao Linjian Mo 6 4 0 31 Jan 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning Junguang Jiang Baixu Chen Junwei Pan Ximei Wang Liu Dapeng Jie Jiang Mingsheng Long MoMe 24 19 0 30 Jan 2023
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints Dohyeong Kim Kyungjae Lee Songhwai Oh 16 9 0 26 Jan 2023
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data Roei Herzig Ofir Abramovich Elad Ben-Avraham Assaf Arbelle Leonid Karlinsky Ariel Shamir Trevor Darrell Amir Globerson 32 16 0 08 Dec 2022
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning Enneng Yang Junwei Pan Ximei Wang Haibin Yu Li Shen Xihua Chen Lei Xiao Jie Jiang G. Guo 38 43 0 28 Nov 2022
Improving Multi-task Learning via Seeking Task-based Flat Regions Hoang Phan Lam C. Tran Ngoc N. Tran Nhat Ho Dinh Q. Phung Trung Le 25 10 0 24 Nov 2022
Event Tables for Efficient Experience Replay Varun Kompella Thomas J. Walsh Samuel Barrett Peter R. Wurman Peter Stone OffRL 19 2 0 01 Nov 2022
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach H. Fernando Han Shen Miao Liu Subhajit Chaudhury K. Murugesan Tianyi Chen 21 8 0 23 Oct 2022
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models Nikolaos Dimitriadis P. Frossard Franccois Fleuret 16 25 0 18 Oct 2022
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction of Epigenetic Events Mohammad Shiri Jiangwen Sun 11 1 0 24 Sep 2022
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents J. MacGlashan Evan Archer A. Devlic Takuma Seno Craig Sherstan Peter R. Wurman AI PeterStoneSony 11 6 0 24 Jun 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 28 27 0 06 Apr 2022
LibMTL: A Python Library for Multi-Task Learning Baijiong Lin Yu Zhang OffRL AI4CE 25 37 0 27 Mar 2022
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification S. Graham Q. Vu Mostafa Jahanifar Shan E Ahmed Raza F. Minhas David R. J. Snead Nasir M. Rajpoot MedIm 16 28 0 28 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 26 75 0 07 Feb 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 28 73 0 11 Jan 2022
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning Baijiong Lin Feiyang Ye Yu Zhang Ivor W. Tsang 26 93 0 20 Nov 2021
Deep Safe Multi-Task Learning Zhixiong Yue Feiyang Ye Yu Zhang Christy Jie Liang Ivor W. Tsang 24 3 0 20 Nov 2021
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning Lijun Zhang Xiao Liu Hui Guan 14 21 0 25 Oct 2021
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 13 85 0 03 Mar 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 26 306 0 25 Dec 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 437 15,631 0 02 Nov 2015