Multi-Task Learning with Deep Neural Networks: A Survey

10 September 2020

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

50 / 282 papers shown

Title
Improving Length-Generalization in Transformers via Task Hinting Pranjal Awasthi Anupam Gupta 21 7 0 01 Oct 2023
YOLOR-Based Multi-Task Learning Hung-Shuo Chang Chien-Yao Wang Hang Yan Yukun Zhu Hongpeng Liao MoE VLM 19 17 0 29 Sep 2023
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks Vinitra Swamy Malika Satayeva Jibril Frej Thierry Bossy Thijs Vogels Martin Jaggi Tanja Kaser Mary-Anne Hartley 18 11 0 25 Sep 2023
Multi-Task Cooperative Learning via Searching for Flat Minima Fuping Wu Le Zhang Yang Sun Yuanhan Mo Thomas Nichols Bartłomiej W. Papież 16 1 0 21 Sep 2023
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis Lucia Migliorelli Daniele Berardini Kevin Cela M. Coccia Laura Villani Emanuele Frontoni S. Moccia 17 6 0 16 Sep 2023
HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking Juraj Vladika Phillip Schneider Florian Matthes 11 10 0 15 Sep 2023
Efficient RLHF: Reducing the Memory Usage of PPO Michael Santacroce Yadong Lu Han Yu Yuan-Fang Li Yelong Shen 27 27 0 01 Sep 2023
FonMTL: Towards Multitask Learning for the Fon Language Bonaventure F. P. Dossou Iffanice B. Houndayi Pamely Zantou Gilles Hacheme 25 0 0 28 Aug 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
Less is More -- Towards parsimonious multi-task models using structured sparsity Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki MoE 17 3 0 23 Aug 2023
Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models F. Bockting Stefan T. Radev Paul-Christian Burkner 21 9 0 22 Aug 2023
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey Lovre Torbarina Tin Ferkovic Lukasz Roguski Velimir Mihelčić Bruno Šarlija Z. Kraljevic 19 5 0 16 Aug 2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives Chuntao Ding Zhichao Lu Shangguang Wang Ran Cheng Vishnu Naresh Boddeti MoMe 6 16 0 03 Aug 2023
Prompt Guided Transformer for Multi-Task Dense Prediction Yuxiang Lu Shalayiding Sirejiding Yue Ding Chunlin Wang Hongtao Lu 39 18 0 28 Jul 2023
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review Maxime Fontana Michael W. Spratling Miaojing Shi 40 6 0 25 Jul 2023
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation Wen Yan B. Chiu Ziyi Shen Qianye Yang Tom Syer ... S. Punwani M. Emberton David Atkinson D. Barratt Yipeng Hu MedIm 27 5 0 17 Jul 2023
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks Liam Collins Hamed Hassani Mahdi Soltanolkotabi Aryan Mokhtari Sanjay Shakkottai 31 10 0 13 Jul 2023
Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving Junjun Yan Xinhai Chen Zhichao Wang Enqiang Zhou Jie Liu PINN AI4CE 24 1 0 12 Jul 2023
Scaling Distributed Multi-task Reinforcement Learning with Experience Sharing Sanae Amani Khushbu Pahwa samani Lin F. Yang LRM 11 0 0 11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 70 0 10 Jul 2023
STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map Ammar Sherif Abubakar Abid M. Elattar Mohamed ElHelw 19 3 0 07 Jul 2023
Exploring Continual Learning for Code Generation Models Prateek Yadav Q. Sun Hantian Ding Xiaopeng Li Dejiao Zhang ... Parminder Bhatia Ramesh Nallapati M. K. Ramanathan Mohit Bansal Bing Xiang CLL 32 30 0 05 Jul 2023
Multi-Task Learning to Enhance Generalizability of Neural Network Equalizers in Coherent Optical Systems S. Srivallapanondh Pedro J. Freire A. Alam N. Costa B. Spinnler A. Napoli E. Sedov S. Turitsyn Jaroslaw E. Prilepsky 25 3 0 04 Jul 2023
Consistent Multimodal Generation via A Unified GAN Framework Zhen Zhu Yijun Li Wei-wei Lyu Krishna Kumar Singh Zhixin Shu Soeren Pirk Derek Hoiem 44 4 0 04 Jul 2023
Multi-Task Learning Improves Performance In Deep Argument Mining Models Amirhossein Farzam Shashank Shekhar Isaac Mehlhaff Marco Morucci 23 1 0 03 Jul 2023
Achieving RGB-D level Segmentation Performance from a Single ToF Camera Pranav Sharma J. Katrolia J. Rambach B. Mirbach D. Stricker Juergen Seiler 8 1 0 30 Jun 2023
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills Zhangyin Feng Yong Dai Fan Zhang Duyu Tang Xiaocheng Feng Shuangzhi Wu Bing Qin Yunbo Cao Shuming Shi MoE 29 0 0 28 Jun 2023
A Collaborative Transfer Learning Framework for Cross-domain Recommendation Wei Emma Zhang Peng Zhang Bo-Wen Zhang Xingxing Wang Dong Wang 13 13 0 26 Jun 2023
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning Zhongzhi Yu Yang Zhang Kaizhi Qian Y. Fu Yingyan Lin 33 13 0 23 Jun 2023
TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter Binjie Zhang Yixiao Ge Xuyuan Xu Ying Shan Mike Zheng Shou 47 7 0 22 Jun 2023
Multi-Task Consistency for Active Learning A. Hekimoglu Philipp Friedrich Walter Zimmer Michael Schmidt Alvaro Marcos-Ramiro Alois C. Knoll VLM 10 10 0 21 Jun 2023
A Universal Semantic-Geometric Representation for Robotic Manipulation Tong Zhang Yingdong Hu Hanchen Cui Hang Zhao Yang Gao 64 17 0 18 Jun 2023
MPSA-DenseNet: A novel deep learning model for English accent classification Tianyu Song Linh Thi Hoai Nguyen Tôn Việt Tạ 13 5 0 15 Jun 2023
NuCLR: Nuclear Co-Learned Representations O. Kitouni Niklas Nolte S. Trifinopoulos Subhash Kantamneni Mike Williams NAI 16 1 0 09 Jun 2023
Multi-task Bioassay Pre-training for Protein-ligand Binding Affinity Prediction Jiaxian Yan Zhaofeng Ye Ziyi Yang Chengqiang Lu Shengyu Zhang Qi Liu J. Qiu 35 11 0 08 Jun 2023
Task Relation-aware Continual User Representation Learning Sein Kim Namkyeong Lee Donghyun Kim Min-Chul Yang Chanyoung Park CLL 16 7 0 01 Jun 2023
Independent Component Alignment for Multi-Task Learning Dmitry Senushkin Nikolay Patakin Arseny Kuznetsov Anton Konushin CVBM 32 41 0 30 May 2023
Study of Subjective and Objective Quality Assessment of Mobile Cloud Gaming Videos Avinab Saha Yu-Chih Chen Chase Davis Bo Qiu Xiaoming Wang Rahul Gowda Ioannis Katsavounidis A. Bovik 23 9 0 26 May 2023
EDM3: Event Detection as Multi-task Text Generation Ujjwala Anantheswaran Himanshu Gupta Mihir Parmar Kuntal Kumar Pal Chitta Baral 27 5 0 25 May 2023
Lightweight Learner for Shared Knowledge Lifelong Learning Yunhao Ge Yuecheng Li Di Wu Ao Xu Adam M. Jones ... Gozde Sahin Shuo Ni Kiran Lekkala S. Sontakke Laurent Itti CLL 19 10 0 24 May 2023
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning Kibeom Kim Hyun-Dong Lee Min Whoo Lee Moonheon Lee Minsu Lee Byoung-Tak Zhang 18 1 0 23 May 2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification Idio Guarino Chao Wang A. Finamore A. Pescapé Dario Rossi 16 11 0 21 May 2023
MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture D. Gonçalves J. M. Junior Pedro Zamboni H. Pistori Jonathan Li Keiller Nogueira W. Gonçalves 35 5 0 04 May 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz K. Zhang Pulkit Agrawal 43 15 0 27 Apr 2023
Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports Juraj Vladika Florian Matthes 14 14 0 25 Apr 2023
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing Yunpeng Weng Xing Tang Liang Chen Xiuqiang He 20 3 0 25 Apr 2023
Self-Supervised learning for Neural Architecture Search (NAS) Samuel Ducros SSL 11 1 0 03 Apr 2023
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision Lucas Beyer Bo Wan Gagan Madan Filip Pavetić Andreas Steiner ... Emanuele Bugliarello Xiao Wang Qihang Yu Liang-Chieh Chen Xiaohua Zhai 49 8 0 30 Mar 2023
DevelSet: Deep Neural Level Set for Instant Mask Optimization Guojin Chen Ziyang Yu Hongduo Liu Yuzhe Ma Bei Yu 13 2 0 18 Mar 2023
Efficient Diffusion Training via Min-SNR Weighting Strategy Tiankai Hang Shuyang Gu Chen Li Jianmin Bao Dong Chen Han Hu Xin Geng B. Guo 18 150 0 16 Mar 2023