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
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs Ashwinee Panda Berivan Isik Xiangyu Qi Sanmi Koyejo Tsachy Weissman Prateek Mittal MoMe 45 12 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 41 4 0 17 Jun 2024
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters Yuhang Zhou Zihua Zhao Haolin Li Siyuan Du Jiangchao Yao Ya Zhang Yanfeng Wang MoMe MoE 40 3 0 14 Jun 2024
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models Minghao Wu Thuy-Trang Vu Lizhen Qu Gholamreza Haffari 29 4 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 34 5 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 31 0 0 05 Jun 2024
Quantifying Task Priority for Multi-Task Optimization Wooseong Jeong Kuk-Jin Yoon 25 3 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 29 6 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 65 4 0 01 Jun 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources Yilin Zheng A. Eryilmaz FedML 30 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 25 0 0 16 May 2024
Compressive Feature Selection for Remote Visual Multi-Task Inference Saeed Ranjbar Alvar Ivan V. Bajić 25 0 0 15 May 2024
For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name-Gender Prediction Xiaocong Du Haipeng Zhang CVBM 26 1 0 10 May 2024
Low-Rank Knowledge Decomposition for Medical Foundation Models Yuhang Zhou Haolin Li Siyuan Du Jiangchao Yao Ya-Qin Zhang Yanfeng Wang 23 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 43 5 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 Fei Wu MoMe 22 0 0 20 Apr 2024
Contextual Chart Generation for Cyber Deception David D. Nguyen David Liebowitz Surya Nepal S. Kanhere Sharif Abuadbba 41 0 0 07 Apr 2024
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes Harmon Bhasin Timothy Ossowski Yiqiao Zhong Junjie Hu 22 0 0 04 Apr 2024
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning Ahmed A. Agiza Marina Neseem Sherief Reda MoE 35 12 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 51 9 0 29 Mar 2024
Probabilistic Image-Driven Traffic Modeling via Remote Sensing Scott Workman Armin Hadzic 24 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 16 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 35 15 0 26 Feb 2024
Multimodal Instruction Tuning with Conditional Mixture of LoRA Ying Shen Zhiyang Xu Qifan Wang Yu Cheng Wenpeng Yin Lifu Huang 34 12 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 29 0 0 23 Feb 2024
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study Yuwen Yang Yuxiang Lu Suizhi Huang Shalayiding Sirejiding Hongtao Lu Yue Ding FedML 42 4 0 20 Feb 2024
Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach R. Çekinel Pinar Senkul AAML 28 3 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 25 1 0 04 Feb 2024
Capturing Pertinent Symbolic Features for Enhanced Content-Based Misinformation Detection Flavio Merenda José Manuél Gómez-Pérez 22 0 0 29 Jan 2024
Deep multitask neural networks for solving some stochastic optimal control problems Christian Yeo 17 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 40 8 0 18 Jan 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 53 122 0 17 Jan 2024
Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey Bahareh Ghari Ali Tourani A. Shahbahrami Georgi Gaydadjiev 24 15 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 28 6 0 03 Jan 2024
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model Yuehao Yin Huiyan Qi B. Zhu Jingjing Chen Yu-Gang Jiang Chong-Wah Ngo 18 18 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-nan Lin 15 9 0 22 Dec 2023
Rethinking of Feature Interaction for Multi-task Learning on Dense Prediction Jingdong Zhang Jiayuan Fan Peng Ye Bo-Wen Zhang Hancheng Ye Baopu Li Yancheng Cai Tao Chen 12 2 0 21 Dec 2023
On Diversified Preferences of Large Language Model Alignment Dun Zeng Yong Dai Pengyu Cheng Longyue Wang Tianhao Hu Wanshun Chen Nan Du Zenglin Xu ALM 32 16 0 12 Dec 2023
Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation Yonatan Sverdlov Shimon Ullman 21 0 0 26 Nov 2023
Task adaption by biologically inspired stochastic comodulation Gauthier Boeshertz Caroline Haimerl Cristina Savin 16 0 0 25 Nov 2023
Multi-task Planar Reconstruction with Feature Warping Guidance Luan Wei A. Hilsmann Peter Eisert 24 0 0 25 Nov 2023
Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR Jintao Jiang Yingbo Gao Zoltán Tüske 16 1 0 24 Nov 2023
FedHCA $^2$ : Towards Hetero-Client Federated Multi-Task Learning Yuxiang Lu Suizhi Huang Yuwen Yang Shalayiding Sirejiding Yue Ding Hongtao Lu FedML 44 3 0 22 Nov 2023
ConeQuest: A Benchmark for Cone Segmentation on Mars Mirali Purohit Jacob B. Adler Hannah Kerner 19 1 0 15 Nov 2023
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch Le Yu Yu Bowen Haiyang Yu Fei Huang Yongbin Li MoMe 28 267 0 06 Nov 2023
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning Siming Lan Rui Zhang Qi Yi Jiaming Guo Shaohui Peng ... Zidong Du Xingui Hu Xishan Zhang Ling Li Yunji Chen 19 7 0 02 Nov 2023
The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture Anuroop Sriram Sihoon Choi Xiaohan Yu Logan M. Brabson Abhishek Das Zachary W. Ulissi Matthew Uyttendaele A. Medford D. Sholl AI4CE 27 34 0 01 Nov 2023
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications Qidong Liu Xian Wu Xiangyu Zhao Yuanshao Zhu Derong Xu Feng Tian Yefeng Zheng MoE 34 62 0 21 Oct 2023
A voxel-level approach to brain age prediction: A method to assess regional brain aging Neha Gianchandani Mahsa Dibaji Johanna Ospel Fernando Vega Higuera Mariana P. Bento M. E. MacDonald Roberto Souza 9 2 0 17 Oct 2023
Visual Attention Prompted Prediction and Learning Yifei Zhang Siyi Gu Bo Pan Guangji Bai Meikang Qiu Xiaofeng Yang Liang Zhao LRM VLM 30 2 0 12 Oct 2023