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
Expert-elicitation method for non-parametric joint priors using normalizing flowsStatistics and computing (Stat. Comput.), 2024 F. Bockting Stefan T. Radev Paul-Christian Bürkner BDL 356 2 0 24 Nov 2024
Multi-head Span-based Detector for AI-generated Fragments in Scientific Papers German Gritsai Ildar Khabutdinov Andrey Grabovoy DeLMO 208 4 0 11 Nov 2024
Neural decoding from stereotactic EEG: accounting for electrode variability across subjectsNeural Information Processing Systems (NeurIPS), 2024 Georgios Mentzelopoulos Evangelos Chatzipantazis Ashwin G. Ramayya Michelle J. Hedlund Vivek P. Buch Kostas Daniilidis Konrad P. Kording Flavia Vitale 152 10 0 01 Nov 2024
Hierarchical Structure Sharing Empowers Multi-task Heterogeneous GNNs for Customer Expansion Xinyue Feng Shuxin Zhong Jinquan Hang Wenjun Lyu Yuequn Zhang Guang Yang Haotian Wang Desheng Zhang Guang Wang 216 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 135 4 0 24 Oct 2024
Multi-head Sequence Tagging Model for Grammatical Error CorrectionEngineering applications of artificial intelligence (EAAI), 2024 Kamal Al-Sabahi Kang Yang Wangwang Liu Guanyu Jiang Xian Li Ming Yang 134 3 0 21 Oct 2024
Federated Communication-Efficient Multi-Objective OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 524 2 0 21 Oct 2024
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task LearningInternational Conference on Learning Representations (ICLR), 2024 Yuxiang Lu Shengcao Cao Yu-Xiong Wang 427 4 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 95 0 0 14 Oct 2024
MTL-LoRA: Low-Rank Adaptation for Multi-Task LearningAAAI Conference on Artificial Intelligence (AAAI), 2024 Yaming Yang Dilxat Muhtar Yelong Shen Yuefeng Zhan Jianfeng Liu ... Denvy Deng Feng Sun Qi Zhang Weizhu Chen Yunhai Tong MoE MoMe 391 13 0 12 Oct 2024
DeepOSets: Non-Autoregressive In-Context Learning with Permutation-Invariance Inductive Bias Shao-Ting Chiu Junyuan Hong Ulisses Braga-Neto BDL 221 2 0 11 Oct 2024
CoBa: Convergence Balancer for Multitask Finetuning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Zi Gong Hang Yu Cong Liao Bingchang Liu Chaoyu Chen Jianguo Li MoMe 129 6 0 09 Oct 2024
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task LearningComputer Vision and Pattern Recognition (CVPR), 2024 Qianli Ma Xuefei Ning Dongrui Liu Li Niu Linfeng Zhang MoMe 259 2 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 318 4 0 07 Oct 2024
Distributed Networked Multi-task Learning Lingzhou Hong Alfredo García 91 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 212 10 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 309 24 0 30 Sep 2024
Temporal2Seq: A Unified Framework for Temporal Video Understanding Tasks Min Yang Zichen Zhang Limin Wang AI4TS 167 0 0 27 Sep 2024
MTLSO: A Multi-Task Learning Approach for Logic Synthesis OptimizationAsia and South Pacific Design Automation Conference (ASP-DAC), 2024 Faezeh Faez Raika Karimi Yingxue Zhang Xing Li Lei Chen Mingxuan Yuan Mahdi Biparva 102 4 0 09 Sep 2024
Learning Task-Specific Sampling Strategy for Sparse-View CT ReconstructionIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2024 Liutao Yang Jiahao Huang D. C. Marshall Angelica I Aviles-Rivero Carola-Bibiane Schonlieb Daoqiang Zhang Guang Yang 145 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 505 5 0 29 Aug 2024
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024 Minjong Yoo Sangwoo Cho Honguk Woo OffRL 216 11 0 28 Aug 2024
Can Optimization Trajectories Explain Multi-Task Transfer? David Mueller Mark Dredze Nicholas Andrews 311 2 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 113 0 0 26 Aug 2024
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT VolumesIEEE International Symposium on Biomedical Imaging (ISBI), 2024 Theo Di Piazza 436 4 0 21 Aug 2024
Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration Hao Ai Lin Wang 134 1 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 181 9 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 227 0 0 31 Jul 2024
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems Hyungjin Chung Jong Chul Ye DiffM 254 14 0 15 Jul 2024
Towards stable training of parallel continual learning Li Yuepan Fan Lyu Yuyang Li Wei Feng Guangcan Liu Fanhua Shang 169 0 0 11 Jul 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard François Fleuret MoE 452 9 0 10 Jul 2024
AutoTask: Task Aware Multi-Faceted Single Model for Multi-Task Ads Relevance Shouchang Guo Sonam Damani Keng-hao Chang 146 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 154 5 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 261 20 0 01 Jul 2024
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs Ashwinee Panda Berivan Isik Xiangyu Qi Sanmi Koyejo Tsachy Weissman Prateek Mittal MoMe 369 25 0 24 Jun 2024
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities Felix Wagner Wentian Xu Pramit Saha Ziyun Liang Daniel Whitehouse David Menon Virginia Newcombe Natalie Voets J. A. Noble Konstantinos Kamnitsas 255 5 0 17 Jun 2024
Exploring Training on Heterogeneous Data with Mixture of Low-rank AdaptersInternational Conference on Machine Learning (ICML), 2024 Yuhang Zhou Zihua Zhao Haolin Li Siyuan Du Jiangchao Yao Ya Zhang Yanfeng Wang MoMe MoE 219 7 0 14 Jun 2024
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models Minghao Wu Thuy-Trang Vu Zhuang Li Gholamreza Haffari 129 10 0 13 Jun 2024
Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models Aidan Z. H. Yang Haoye Tian He Ye Ruben Martins Claire Le Goues 121 15 0 09 Jun 2024
Giving each task what it needs -- leveraging structured sparsity for tailored multi-task learning Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki MoE 217 1 0 05 Jun 2024
Quantifying Task Priority for Multi-Task Optimization Wooseong Jeong Kuk-Jin Yoon 166 10 0 05 Jun 2024
Multimodal Metadata Assignment for Cultural Heritage Artifacts Luis Rei Dunja Mladenić M. Dorozynski Franz Rottensteiner Thomas Schleider Raphael Troncy J. Lozano Mar Gaitán Salvatella 177 10 0 01 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives Xuan Wu Di Wang Lijie Wen Yubin Xiao Chunguo Wu Yuesong Wu Chaoyu Yu D. Maskell You Zhou 647 25 0 01 Jun 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources Yilin Zheng A. Eryilmaz FedML 198 0 0 31 May 2024
MTLComb: multi-task learning combining regression and classification tasks for joint feature selection Han Cao Sivanesan Rajan Bianka Hahn Ersoy Kocak Daniel Durstewitz Emanuel Schwarz Verena Schneider-Lindner 137 1 0 16 May 2024
Compressive Feature Selection for Remote Visual Multi-Task Inference Saeed Ranjbar Alvar Ivan V. Bajić 102 0 0 15 May 2024
For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name-Gender PredictionInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Xiaocong Du Haipeng Zhang CVBM 115 1 0 10 May 2024
Low-Rank Knowledge Decomposition for Medical Foundation Models Yuhang Zhou Haolin Li Siyuan Du Jiangchao Yao Ya Zhang Yanfeng Wang 152 3 0 26 Apr 2024
$$\texttt{MiniMol}$: A Parameter-Efficient Foundation Model for Molecular Learning$ $\texttt{MiniMol}$ : A Parameter-Efficient Foundation Model for Molecular Learning Kerstin Klaser Bla.zej Banaszewski S. Maddrell-Mander Callum McLean Luis Muller Alipanah Parviz Shenyang Huang Andrew Fitzgibbon AI4CE 199 10 0 23 Apr 2024
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities Kunxi Li Tianyu Zhan Kairui Fu Shengyu Zhang Kun Kuang Jiwei Li Zhou Zhao Leilei Gan MoMe 195 7 0 20 Apr 2024