Multi-Task Learning with Deep Neural Networks: A Survey

10 September 2020

Papers citing "Multi-Task Learning with Deep Neural Networks: A Survey"

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Title
Dynamic Time-aware Continual User Representation Learning Seungyoon Choi Sein Kim Hongseok Kang Wonjoong Kim Chanyoung Park CLL 45 0 0 23 Apr 2025
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Yeoreum Lee Jinwook Jung Sungyong Baik MoMe 40 0 0 20 Apr 2025
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval Hao Deng Haibo Xing Kanefumi Matsuyama Moyu Zhang Jinxin Hu Hong Wen Yu Zhang Xiaoyi Zeng Jing-Xuan Zhang 29 0 0 17 Apr 2025
Data Fusion of Deep Learned Molecular Embeddings for Property Prediction Robert Appleton Brian C Barnes Alejandro Strachan FedML AI4CE 32 0 0 09 Apr 2025
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology Vishwesh Ramanathan Tony Xu Pushpak Pati Faruk Ahmed Maged Goubran Anne L. Martel 45 0 0 21 Mar 2025
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments Yinqi Chen Meiying Zhang Qi Hao Guang Zhou 54 1 0 19 Mar 2025
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization Aviv Shamsian E. Shaar Aviv Navon Gal Chechik Ethan Fetaya MU 64 0 0 04 Mar 2025
CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation Zhenyi Shen Hanqi Yan Linhai Zhang Zhanghao Hu Yali Du Yulan He LRM 55 8 0 28 Feb 2025
M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance Qingpei Guo Kaiyou Song Zipeng Feng Ziping Ma Qinglong Zhang ... Yunxiao Sun Tai-WeiChang Jingdong Chen Ming Yang Jun Zhou MLLM VLM 82 3 0 26 Feb 2025
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models Zhen Zhang Y. Yang Kai Zhen Nathan Susanj Athanasios Mouchtaris Siegfried Kunzmann Zheng Zhang 54 0 0 17 Feb 2025
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning Beining Zhang Aditya Kapoor Mingfei Sun 52 0 0 08 Feb 2025
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki 35 0 0 21 Jan 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Weiyu Chen Xiaoyuan Zhang Baijiong Lin Xi Victoria Lin Han Zhao Qingfu Zhang James T. Kwok 75 2 0 19 Jan 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning Hanwen Zhong Jiaxin Chen Yutong Zhang Di Huang Yunhong Wang MoE 42 0 0 12 Jan 2025
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models Zaifu Zhan Rui Zhang 78 4 0 16 Dec 2024
ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising R. Wang Kai Liu Bingjie Li Yu Rong Qingpeng Cai Fei Pan Peng Jiang 64 0 0 09 Dec 2024
Expert-elicitation method for non-parametric joint priors using normalizing flows F. Bockting Stefan T. Radev Paul-Christian Burkner BDL 95 1 0 24 Nov 2024
Multi-head Span-based Detector for AI-generated Fragments in Scientific Papers German Gritsai Ildar Khabutdinov Andrey Grabovoy DeLMO 50 3 0 11 Nov 2024
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects Georgios Mentzelopoulos Evangelos Chatzipantazis Ashwin G. Ramayya Michelle J. Hedlund Vivek P. Buch Kostas Daniilidis Konrad P. Kording Flavia Vitale 30 0 0 01 Nov 2024
InLINE: Inner-Layer Information Exchange for Multi-task Learning on Heterogeneous Graphs Xinyue Feng Jinquan Hang Yuequn Zhang Haotian Wang Desheng Zhang Guang Wang 29 0 0 29 Oct 2024
MoMQ: Mixture-of-Experts Enhances Multi-Dialect Query Generation across Relational and Non-Relational Databases Zhisheng Lin Yifu Liu Zhiling Luo Jinyang Gao Yu Li 24 0 0 24 Oct 2024
Multi-head Sequence Tagging Model for Grammatical Error Correction Kamal Al-Sabahi Kang Yang Wangwang Liu Guanyu Jiang Xian Li Ming Yang 32 2 0 21 Oct 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 64 1 0 21 Oct 2024
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu Shengcao Cao Yu-xiong Wang 47 1 0 18 Oct 2024
Optimization of Complex Process, Based on Design Of Experiments, a Generic Methodology Julien Baderot Yann Cauchepin Alexandre Seiller Richard Fontanges Sergio Martinez ... Emmanuel Fuchs Mehdi Daanoune Vincent Grenier Vincent Barra Arnaud Guillin 15 0 0 14 Oct 2024
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning Yaming Yang Dilxat Muhtar Yelong Shen Yuefeng Zhan Jianfeng Liu ... Denvy Deng Feng Sun Qi Zhang Weizhu Chen Yunhai Tong MoE MoMe 38 2 0 12 Oct 2024
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators Shao-Ting Chiu Junyuan Hong Ulisses Braga-Neto BDL 23 0 0 11 Oct 2024
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models Zi Gong Hang Yu Cong Liao Bingchang Liu Chaoyu Chen Jianguo Li MoMe 21 4 0 09 Oct 2024
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning Qianli Ma Xuefei Ning Dongrui Liu Li Niu Linfeng Zhang MoMe 44 0 0 09 Oct 2024
Task Diversity Shortens the ICL Plateau Jaeyeon Kim Sehyun Kwon Joo Young Choi Jongho Park Jaewoong Cho Jason D. Lee Ernest K. Ryu MoMe 31 2 0 07 Oct 2024
Distributed Networked Multi-task Learning Lingzhou Hong Alfredo García 13 1 0 04 Oct 2024
Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance -- A Case Study in Finance Meni Brief Oded Ovadia Gil Shenderovitz Noga Ben Yoash Rachel Lemberg Eitam Sheetrit 47 4 0 01 Oct 2024
The Perfect Blend: Redefining RLHF with Mixture of Judges Tengyu Xu Eryk Helenowski Karthik Abinav Sankararaman Di Jin Kaiyan Peng ... Gabriel Cohen Yuandong Tian Hao Ma Sinong Wang Han Fang 31 9 0 30 Sep 2024
Temporal2Seq: A Unified Framework for Temporal Video Understanding Tasks Min Yang Zichen Zhang Limin Wang AI4TS 34 0 0 27 Sep 2024
MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization Faezeh Faez Raika Karimi Yingxue Zhang Xing Li Lei Chen M. Yuan Mahdi Biparva 30 2 0 09 Sep 2024
Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction Liutao Yang Jiahao Huang Yingying Fang Angelica I Aviles-Rivero Carola-Bibiane Schonlieb Daoqiang Zhang Guang Yang 28 0 0 03 Sep 2024
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning Mohammadamin Banayeeanzade Mahdi Soltanolkotabi Mohammad Rostami CLL LRM 89 1 0 29 Aug 2024
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning Minjong Yoo Sangwoo Cho Honguk Woo OffRL 32 10 0 28 Aug 2024
Can Optimization Trajectories Explain Multi-Task Transfer? David Mueller Mark Dredze Nicholas Andrews 53 1 0 26 Aug 2024
Detailed delineation of the fetal brain in diffusion MRI via multi-task learning Davood Karimi Camilo Calixto Haykel Snoussi M. C. Cortés-Albornoz C. Velasco-Annis Caitlin Rollins Camilo Jaimes Ali Gholipour Simon K. Warfield MedIm 24 3 0 26 Aug 2024
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes Theo Di Piazza 24 0 0 21 Aug 2024
Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration Hao Ai Lin Wang 27 0 0 18 Aug 2024
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement Le Yu Bowen Yu Haiyang Yu Fei Huang Yongbin Li MoMe 27 5 0 06 Aug 2024
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models Zhengxuan Wu Yuhao Zhang Linquan Wei Yumo Xu Rujun Han Yi Liu Jifan Chen Bonan Min Zhiheng Huang 20 0 0 31 Jul 2024
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems Hyungjin Chung Jong Chul Ye DiffM 40 6 0 15 Jul 2024
Towards stable training of parallel continual learning Li Yuepan Fan Lyu Yuyang Li Wei Feng Guangcan Liu Fanhua Shang 43 0 0 11 Jul 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard F. Fleuret MoE 59 6 0 10 Jul 2024
AutoTask: Task Aware Multi-Faceted Single Model for Multi-Task Ads Relevance Shouchang Guo Sonam Damani Keng-hao Chang 37 0 0 09 Jul 2024
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation Chaoqun Hou Yuanhang Zhou Yi Cao Tong Liu 18 1 0 02 Jul 2024
ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization Chunrong Fang Weisong Sun Yuchen Chen Xiao Chen Zhao Wei Quanjun Zhang Yudu You Bin Luo Yang Liu Zhenyu Chen AI4TS 40 12 0 01 Jul 2024