An Overview of Multi-Task Learning in Deep Neural Networks

15 June 2017

Papers citing "An Overview of Multi-Task Learning in Deep Neural Networks"

50 / 336 papers shown

Title
$Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints$ Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints Abhishek Sinha Rahul Vaze 16 0 0 10 May 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning Yi Yu Song Xia Siyuan Yang Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex Chichung Kot 46 0 0 08 May 2025
Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis June-Woo Kim Sanghoon Lee Miika Toikkanen Daehwan Hwang Kyunghoon Kim 26 0 0 06 May 2025
Learning Streaming Video Representation via Multitask Training Yibin Yan Jilan Xu Shangzhe Di Yikun Liu Yudi Shi Qirui Chen Zeqian Li Yifei Huang Weidi Xie CLL 84 0 0 28 Apr 2025
SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction Zhengyuan Li Kai Cheng Anindita Ghosh Uttaran Bhattacharya Liangyan Gui Aniket Bera DiffM VGen 44 0 0 23 Mar 2025
Skill Expansion and Composition in Parameter Space Tenglong Liu J. Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 58 4 0 09 Feb 2025
Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education Yanhao Jia Xinyi Wu Hao Li Qinglin Zhang Yuxiao Hu Shuai Zhao Wenqi Fan 48 2 0 09 Feb 2025
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 67 0 0 04 Feb 2025
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection Jiaqing Zhang Mingxiang Cao Weiying Xie Jie Lei Daixun Li Wenbo Huang Yunsong Li Xue Yang 59 5 0 28 Jan 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks Alessio Quercia Erenus Yildiz Zhuo Cao Kai Krajsek Abigail Morrison Ira Assent Hanno Scharr 56 0 0 22 Jan 2025
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning Sergio Rozada Santiago Paternain J. Bazerque Antonio G. Marques 69 0 0 17 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
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions Qiang Qu Xiaoming Chen Vera Chung Zhibo Chen 64 28 0 10 Dec 2024
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu Shengcao Cao Yu-xiong Wang 49 1 0 18 Oct 2024
Using dynamic loss weighting to boost improvements in forecast stability Daan Caljon Jeff Vercauteren Simon De Vos Wouter Verbeke Jente Van Belle 37 0 0 26 Sep 2024
Can Optimization Trajectories Explain Multi-Task Transfer? David Mueller Mark Dredze Nicholas Andrews 55 1 0 26 Aug 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard F. Fleuret MoE 64 6 0 10 Jul 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 31 6 0 01 Jun 2024
Enhanced Object Tracking by Self-Supervised Auxiliary Depth Estimation Learning Zhenyu Wei Yujie He Zhanchuan Cai MDE 50 0 0 23 May 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning Prashant Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 45 2 0 28 Apr 2024
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems Pengdeng Li Shuxin Li Xinrun Wang Jakub Cerny Youzhi Zhang Stephen McAleer Hau Chan Bo An 39 1 0 19 Apr 2024
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies Benjue Weng LM&MA 44 7 0 13 Apr 2024
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning Yanqi Dai Dong Jing Nanyi Fei Zhiwu Lu Nanyi Fei Guoxing Yang Zhiwu Lu 55 3 0 07 Mar 2024
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator Wonhyeok Choi Mingyu Shin Hyukzae Lee Jaehoon Cho Jaehyeon Park Sunghoon Im 47 1 0 06 Mar 2024
A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detection Chao Hao Zitong Yu Xin Liu Jun Xu Huanjing Yue Jingyu Yang ViT 35 6 0 29 Feb 2024
Multi Task Inverse Reinforcement Learning for Common Sense Reward Neta Glazer Aviv Navon Aviv Shamsian Ethan Fetaya 27 0 0 17 Feb 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning Zhiheng Xi Wenxiang Chen Boyang Hong Senjie Jin Rui Zheng ... Xinbo Zhang Peng Sun Tao Gui Qi Zhang Xuanjing Huang LRM 32 20 0 08 Feb 2024
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement Dayou Mao Yuhao Chen Yifan Wu Maximilian Gilles Alexander Wong AAML 38 0 0 05 Feb 2024
WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification Haitao Gan Lingchao Fu Ran Zhou Weiyan Gan Furong Wang Xiaoyan Wu Zhi Yang Zhongwei Huang 38 2 0 25 Jan 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? Sonia Laguna Ricards Marcinkevics Moritz Vandenhirtz Julia E. Vogt 35 17 0 24 Jan 2024
Interpretable Meta-Learning of Physical Systems Matthieu Blanke Marc Lelarge AI4CE 22 4 0 01 Dec 2023
Improving Cross-Domain Hate Speech Generalizability with Emotion Knowledge Shi Yin Hong Susan Gauch 19 2 0 24 Nov 2023
Feature-oriented Deep Learning Framework for Pulmonary Cone-beam CT (CBCT) Enhancement with Multi-task Customized Perceptual Loss Jiarui Zhu Werxing Chen Hongfei Sun Shaohua Zhi Jing Qin J. Cai G. Ren MedIm 16 1 0 01 Nov 2023
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training Mingyang Wang Heike Adel Lukas Lange Jannik Strötgen Hinrich Schütze 25 3 0 23 Oct 2023
Ask To The Point: Open-Domain Entity-Centric Question Generation Yuxiang Liu Jie Huang Kevin Chen-Chuan Chang 36 3 0 21 Oct 2023
Audio-AdapterFusion: A Task-ID-free Approach for Efficient and Non-Destructive Multi-task Speech Recognition Hillary Ngai Rohan Agrawal Neeraj Gaur Ronny Huang Parisa Haghani P. M. Mengibar MoMe 34 0 0 17 Oct 2023
Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning Chong Li Shaonan Wang Yunhao Zhang Jiajun Zhang Chengqing Zong 32 4 0 16 Oct 2023
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients Juan Lu Bennamoun J. Stewart J. Eshraghian Yanbin Liu B. Chow Frank M. Sanfilippo Girish Dwivedi OOD 17 1 0 01 Sep 2023
$AntM$^{2}$C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction$ AntM $^{2}$ C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction Zhaoxin Huan Ke Ding Ang Li Xiaolu Zhang Xu Min ... Linjian Mo Jinjie Gu Zhongyi Liu Wenliang Zhong Guannan Zhang 21 0 0 31 Aug 2023
AutoML4ETC: Automated Neural Architecture Search for Real-World Encrypted Traffic Classification Navid Malekghaini Elham Akbari M. A. Salahuddin Noura Limam R. Boutaba B. Mathieu S. Moteau Stéphanie Tuffin 21 4 0 04 Aug 2023
Towards a population-informed approach to the definition of data-driven models for structural dynamics G. Tsialiamanis N. Dervilis D. Wagg K. Worden AI4CE 34 5 0 19 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 29 1 0 12 Jul 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions Peng Yan Ahmed Abdulkadir Paul-Philipp Luley Matthias Rosenthal Gerrit A. Schatte Benjamin Grewe Thilo Stadelmann AI4TS 36 57 0 11 Jul 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 35 10 0 16 Jun 2023
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles Zhongying CuiZhu François Charette A. Ghafourian Debo Shi Matthew Cui Anjali Krishnamachar I. S. Bozchalooi 29 1 0 15 Jun 2023
Automating Model Comparison in Factor Graphs Bart Van Erp Wouter W. L. Nuijten T. V. D. Laar Bert De Vries 16 1 0 09 Jun 2023
Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning Joel Ong Dorien Herremans AI4TS 19 6 0 08 Jun 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Emilie Grégoire M. H. Chaudhary Sam Verboven 24 1 0 07 Jun 2023
CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions Janis Goldzycher 13 1 0 06 Jun 2023
Addressing Negative Transfer in Diffusion Models Hyojun Go Jinyoung Kim Yunsung Lee Seunghyun Lee Shinhyeok Oh Hyeongdon Moon Seungtaek Choi DiffM VLM 24 24 0 01 Jun 2023