Multi-Task Learning with Deep Neural Networks: A Survey

10 September 2020

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

50 / 310 papers shown

Title
Contextual Chart Generation for Cyber Deception David D. Nguyen David Liebowitz Surya Nepal S. Kanhere Sharif Abuadbba 188 1 0 07 Apr 2024
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function ClassesNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Harmon Bhasin Timothy Ossowski Yiqiao Zhong Junjie Hu 75 2 0 04 Apr 2024
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning Ahmed A. Agiza Marina Neseem Sherief Reda MoE 194 41 0 29 Mar 2024
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects Abhinav Kumar Yuliang Guo Xinyu Huang Liu Ren Xiaoming Liu 3DPC 300 14 0 29 Mar 2024
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining Tushar Kataria Beatrice Knudsen Shireen Y. Elhabian DiffM MedIm 337 16 0 17 Mar 2024
Probabilistic Image-Driven Traffic Modeling via Remote SensingEuropean Conference on Computer Vision (ECCV), 2024 Scott Workman Armin Hadzic 130 0 0 08 Mar 2024
Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation Jianyu Guan Zongming Yin Tianyi Zhang Leihui Chen Yin Zhang Fei Huang Jufeng Chen Shuguang Han 106 1 0 29 Feb 2024
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings Isabelle Mohr Markus Krimmel Saba Sturua Mohammad Kalim Akram Andreas Koukounas ... Susana Guzman Bo Wang Maximilian Werk Nan Wang Han Xiao 188 22 0 26 Feb 2024
Multimodal Instruction Tuning with Conditional Mixture of LoRA Ying Shen Zhiyang Xu Qifan Wang Yu Cheng Wenpeng Yin Lifu Huang 158 30 0 24 Feb 2024
Alternating Weak Triphone/BPE Alignment Supervision from Hybrid Model Improves End-to-End ASR Jintao Jiang Yingbo Gao Mohammad Zeineldeen Zoltán Tüske 265 0 0 23 Feb 2024
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study Yuwen Yang Yuxiang Lu Wei Ji Shalayiding Sirejiding Hongtao Lu Yue Ding FedML 254 9 0 20 Feb 2024
Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model ApproachBigData Congress [Services Society] (BSS), 2024 R. Çekinel Pinar Senkul AAML 241 4 0 09 Feb 2024
COMPRER: A Multimodal Multi-Objective Pretraining Framework for Enhanced Medical Image Representation Guy Lutsker H. Rossman Nastya Godiva E. Segal MedIm 206 2 0 04 Feb 2024
Capturing Pertinent Symbolic Features for Enhanced Content-Based Misinformation Detection Flavio Merenda José Manuél Gómez-Pérez 233 1 0 29 Jan 2024
Deep multitask neural networks for solving some stochastic optimal control problemsIEEE International Joint Conference on Neural Network (IJCNN), 2024 Christian Yeo 109 1 0 23 Jan 2024
Supervised Fine-tuning in turn Improves Visual Foundation Models Xiaohu Jiang Yixiao Ge Yuying Ge Dachuan Shi Chun Yuan Ying Shan VLM CLIP 182 12 0 18 Jan 2024
Pedestrian Detection in Low-Light Conditions: A Comprehensive SurveyImage and Vision Computing (IVC), 2024 Bahareh Ghari Ali Tourani A. Shahbahrami Georgi Gaydadjiev 171 38 0 15 Jan 2024
Graph Neural Networks for Surfactant Multi-Property Prediction Christoforos Brozos Jan G. Rittig Sandip Bhattacharya Elie Akanny Christina Kohlmann Alexander Mitsos AI4CE 169 16 0 03 Jan 2024
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model Yuehao Yin Huiyan Qi B. Zhu Yue Yu Yu-Gang Jiang Chong-Wah Ngo 196 38 0 22 Dec 2023
UniHuman: A Unified Model for Editing Human Images in the Wild Nannan Li Qing Liu Krishna Kumar Singh Yilin Wang Jianming Zhang Bryan A. Plummer Zhe Lin 146 11 0 22 Dec 2023
Rethinking of Feature Interaction for Multi-task Learning on Dense Prediction Jingdong Zhang Jiayuan Fan Peng Ye Bo Zhang Hancheng Ye Baopu Li Yancheng Cai Tao Chen 136 0 0 21 Dec 2023
On Diversified Preferences of Large Language Model AlignmentConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Dun Zeng Yong Dai Pengyu Cheng Longyue Wang Tianhao Hu Wanshun Chen Nan Du Zenglin Xu ALM 252 18 0 12 Dec 2023
Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation Yonatan Sverdlov Shimon Ullman 185 2 0 26 Nov 2023
Task adaption by biologically inspired stochastic comodulation Gauthier Boeshertz Caroline Haimerl Cristina Savin 124 0 0 25 Nov 2023
Multi-task Planar Reconstruction with Feature Warping Guidance Luan Wei Anna Hilsmann Peter Eisert 172 1 0 25 Nov 2023
Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR Jintao Jiang Yingbo Gao Zoltán Tüske 306 1 0 24 Nov 2023
FedHCA $^2$ : Towards Hetero-Client Federated Multi-Task LearningComputer Vision and Pattern Recognition (CVPR), 2023 Yuxiang Lu Wei Ji Yuwen Yang Shalayiding Sirejiding Yue Ding Hongtao Lu FedML 246 16 0 22 Nov 2023
ConeQuest: A Benchmark for Cone Segmentation on MarsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Mirali Purohit Jacob B. Adler Hannah Kerner 64 1 0 15 Nov 2023
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchInternational Conference on Machine Learning (ICML), 2023 Le Yu Yu Bowen Haiyang Yu Fei Huang Yongbin Li MoMe 482 473 0 06 Nov 2023
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 Siming Lan Rui Zhang Qi Yi Jiaming Guo Shaohui Peng ... Zidong Du Xingui Hu Xishan Zhang Ling Li Yunji Chen 232 15 0 02 Nov 2023
The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air CaptureACS Central Science (ACS Cent. Sci.), 2023 Anuroop Sriram Sihoon Choi Xiaohan Yu Logan M. Brabson Abhishek Das Zachary W. Ulissi Matthew Uyttendaele A. Medford D. Sholl AI4CE 280 69 0 01 Nov 2023
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical ApplicationsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Qidong Liu Xian Wu Xiangyu Zhao Yuanshao Zhu Derong Xu Feng Tian Yefeng Zheng MoE 273 111 0 21 Oct 2023
A voxel-level approach to brain age prediction: A method to assess regional brain agingMachine Learning for Biomedical Imaging (MLBI), 2023 Neha Gianchandani Mahsa Dibaji Johanna Ospel Fernando Vega Higuera Mariana P. Bento M. E. MacDonald Roberto Souza 129 6 0 17 Oct 2023
Visual Attention Prompted Prediction and LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Yifei Zhang Siyi Gu Bo Pan Guangji Bai Meikang Qiu Xiaofeng Yang Bo Pan LRM VLM 312 12 0 12 Oct 2023
Improving Length-Generalization in Transformers via Task Hinting Pranjal Awasthi Anupam Gupta 161 13 0 01 Oct 2023
YOLOR-Based Multi-Task Learning Hung-Shuo Chang Chien-Yao Wang Hang Yan Yukun Zhu Hongpeng Liao MoE VLM 165 20 0 29 Sep 2023
MultiModN- Multimodal, Multi-Task, Interpretable Modular NetworksNeural Information Processing Systems (NeurIPS), 2023 Vinitra Swamy Malika Satayeva Jibril Frej Thierry Bossy Thijs Vogels Martin Jaggi Tanja Käser Mary-Anne Hartley 173 19 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 251 2 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 82 10 0 16 Sep 2023
HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-CheckingInternational Conference on Language Resources and Evaluation (LREC), 2023 Juraj Vladika Phillip Schneider Florian Matthes 220 26 0 15 Sep 2023
Efficient RLHF: Reducing the Memory Usage of PPO Michael Santacroce Yadong Lu Han Yu Yuan-Fang Li Haoran Pan 128 39 0 01 Sep 2023
FonMTL: Towards Multitask Learning for the Fon Language Bonaventure F. P. Dossou Iffanice B. Houndayi Pamely Zantou Gilles Hacheme 246 0 0 28 Aug 2023
Revisiting Scalarization in Multi-Task Learning: A Theoretical PerspectiveNeural Information Processing Systems (NeurIPS), 2023 Yuzheng Hu Ruicheng Xian Qilong Wu Qiuling Fan Lang Yin Han Zhao 252 60 0 27 Aug 2023
Less is More -- Towards parsimonious multi-task models using structured sparsity Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki MoE 186 3 0 23 Aug 2023
Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian ModelsScientific Reports (Sci Rep), 2023 F. Bockting Stefan T. Radev Paul-Christian Bürkner 211 16 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 183 6 0 16 Aug 2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable PrimitivesComputer Vision and Pattern Recognition (CVPR), 2023 Chuntao Ding Zhichao Lu Shangguang Wang Ran Cheng Vishnu Boddeti MoMe 155 24 0 03 Aug 2023
Prompt Guided Transformer for Multi-Task Dense PredictionIEEE transactions on multimedia (IEEE TMM), 2023 Yuxiang Lu Shalayiding Sirejiding Yue Ding Chunlin Wang Hongtao Lu 217 31 0 28 Jul 2023
When Multi-Task Learning Meets Partial Supervision: A Computer Vision ReviewProceedings of the IEEE (Proc. IEEE), 2023 Maxime Fontana Michael W. Spratling Miaojing Shi 216 9 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 193 5 0 17 Jul 2023