Which Tasks Should Be Learned Together in Multi-task Learning?

18 May 2019

Trevor Scott Standley

Silvio Savarese

Papers citing "Which Tasks Should Be Learned Together in Multi-task Learning?"

50 / 95 papers shown

Title
Uniform Loss vs. Specialized Optimization: A Comparative Analysis in Multi-Task Learning Gabriel S. Gama Valdir Grassi Jr MoMe 45 0 0 15 May 2025
BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes Tushar Kataria Shireen Elhabian 29 0 0 14 May 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning Yi Yu Song Xia Siyuan Yang Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex Chichung Kot 46 0 0 08 May 2025
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series Tian-Shing Lan Yifei Gao Yimeng Lu Chen Zhang 56 0 0 01 May 2025
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer Enming Zhang Liwen Cao Yanru Wu Zijie Zhao Guan Wang Yang Li 49 0 0 09 Apr 2025
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions Kasra Borazjani Payam Abdisarabshali Naji Khosravan Seyyedali Hosseinalipour FedML 36 1 0 17 Mar 2025
PaliGemma-CXR: A Multi-task Multimodal Model for TB Chest X-ray Interpretation Denis Musinguzi Andrew Katumba Sudi Murindanyi 33 0 0 28 Feb 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks Alessio Quercia Erenus Yildiz Zhuo Cao Kai Krajsek Abigail Morrison Ira Assent Hanno Scharr 56 0 0 22 Jan 2025
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 64 1 0 21 Oct 2024
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 44 1 0 12 Oct 2024
Rethinking Meta-Learning from a Learning Lens Wenwen Qiang Jingyao Wang Chuxiong Sun Hui Xiong Jiangmeng Li 48 1 0 13 Sep 2024
Can Optimization Trajectories Explain Multi-Task Transfer? David Mueller Mark Dredze Nicholas Andrews 58 1 0 26 Aug 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho Vindula Jayawardana Sirui Li Cathy Wu OffRL 45 0 0 08 Aug 2024
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities Kunxi Li Tianyu Zhan Kairui Fu Shengyu Zhang Kun Kuang Jiwei Li Zhou Zhao Fei Wu MoMe 24 0 0 20 Apr 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 71 2 0 14 Mar 2024
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator Wonhyeok Choi Mingyu Shin Hyukzae Lee Jaehoon Cho Jaehyeon Park Sunghoon Im 47 1 0 06 Mar 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 31 0 0 23 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 38 0 0 05 Feb 2024
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning Yi Xin Junlong Du Qiang Wang Ke Yan Shouhong Ding VLM 41 45 0 14 Dec 2023
OmniVec: Learning robust representations with cross modal sharing Siddharth Srivastava Gaurav Sharma SSL 27 64 0 07 Nov 2023
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training Mingyang Wang Heike Adel Lukas Lange Jannik Strötgen Hinrich Schütze 27 3 0 23 Oct 2023
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning Geri Skenderi Luigi Capogrosso Andrea Toaiari Matteo Denitto Franco Fummi Simone Melzi Marco Cristani OOD 31 0 0 13 Oct 2023
Transformer-based Multimodal Change Detection with Multitask Consistency Constraints Biyuan Liu Huaixin Chen Kun Li Michael Ying Yang 33 14 0 13 Oct 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 35 10 0 16 Jun 2023
FAMO: Fast Adaptive Multitask Optimization B. Liu Yihao Feng Peter Stone Qian Liu 38 30 0 06 Jun 2023
Addressing Negative Transfer in Diffusion Models Hyojun Go Jinyoung Kim Yunsung Lee Seunghyun Lee Shinhyeok Oh Hyeongdon Moon Seungtaek Choi DiffM VLM 29 24 0 01 Jun 2023
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning Md. Adnan Arefeen Zhouyu Li M. Y. S. Uddin Anupam Das 27 0 0 13 May 2023
Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion Sara Hatami Gazani Fardad Dadboud M. Bolic I. Mantegh H. Najjaran 3DPC 30 0 0 25 Apr 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 25 6 0 15 Apr 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Salah Ghamizi Jingfeng Zhang Maxime Cordy Mike Papadakis Masashi Sugiyama Yves Le Traon AAML 22 2 0 06 Feb 2023
Friend-training: Learning from Models of Different but Related Tasks Mian Zhang Lifeng Jin Linfeng Song Haitao Mi Xiabing Zhou Dong Yu VLM 19 0 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
Regularising disparity estimation via multi task learning with structured light reconstruction Alistair Weld João Cartucho Chi Xu Joseph Davids Stamatia Giannarou 3DV 24 4 0 19 Jan 2023
NADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters A. Proma Md. Saiful Islam Stela Ciko Raiyan Abdul Baten E. Hoque 36 3 0 21 Dec 2022
Egocentric Video Task Translation Zihui Xue Yale Song Kristen Grauman Lorenzo Torresani EgoV 29 13 0 13 Dec 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization Jingang Qu T. Faney Zehao Wang Patrick Gallinari Soleiman Yousef J. D. Hemptinne OOD 21 7 0 15 Nov 2022
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning Yu Meng Martin Michalski Jiaxin Huang Yu Zhang Tarek F. Abdelzaher Jiawei Han VLM 51 46 0 06 Nov 2022
M $^3$ ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design Hanxue Liang Zhiwen Fan Rishov Sarkar Ziyu Jiang Tianlong Chen Kai Zou Yu Cheng Cong Hao Zhangyang Wang MoE 31 81 0 26 Oct 2022
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models Nikolaos Dimitriadis P. Frossard Franccois Fleuret 26 25 0 18 Oct 2022
Composite Learning for Robust and Effective Dense Predictions Menelaos Kanakis Thomas E. Huang David Brüggemann F. I. F. Richard Yu Luc Van Gool SSL 39 3 0 13 Oct 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts Tao Zhong Zhixiang Chi Li Gu Yang Wang Yuanhao Yu Jingshan Tang OOD 66 29 0 08 Oct 2022
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction of Epigenetic Events Mohammad Shiri Jiangwen Sun 13 1 0 24 Sep 2022
Grouped Adaptive Loss Weighting for Person Search Yanling Tian Di Chen Yunan Liu Shanshan Zhang Jian Yang 36 4 0 23 Sep 2022
Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks Tianwei Chen Noa Garcia Mayu Otani Chenhui Chu Yuta Nakashima Hajime Nagahara VLM 38 0 0 23 Aug 2022
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding Stephen Su Sam Kwong Qingyu Zhao De-An Huang Juan Carlos Niebles Ehsan Adeli 27 0 0 22 Aug 2022
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing Naresh Gurulingan Elahe Arani Bahram Zonooz 22 1 0 19 Aug 2022
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression Felix Ott N. Raichur David Rügamer Tobias Feigl Heiko Neumann Bernd Bischl Christopher Mutschler 28 1 0 01 Aug 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks Andrew M. Saxe Shagun Sodhani Sam Lewallen AI4CE 28 34 0 21 Jul 2022
Cross-task Attention Mechanism for Dense Multi-task Learning Ivan Lopes Tuan-Hung Vu Raoul de Charette 14 26 0 17 Jun 2022
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields Mingtong Zhang Shuhong Zheng Zhipeng Bao M. Hebert Yu-xiong Wang 19 12 0 09 Jun 2022