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
Functional Knowledge Transfer with Self-supervised Representation Learning Prakash Chandra Chhipa Muskan Chopra G. Mengi Varun Gupta Richa Upadhyay Meenakshi Subhash Chippa Kanjar De Rajkumar Saini Seiichi Uchida Marcus Liwicki SSL 18 2 0 12 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning Min Zhang Zifeng Zhuang Zhitao Wang Donglin Wang Wen-Bin Li 46 5 0 12 Mar 2023
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks Xiaoping Han Xiatian Zhu Licheng Yu Li Zhang Yi-Zhe Song Tao Xiang VLM 24 38 0 04 Mar 2023
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving Xiwen Liang Minzhe Niu Jianhua Han Hang Xu Chunjing Xu Xiaodan Liang VLM 31 14 0 03 Mar 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić E. Ponti MoMe OOD 32 73 0 22 Feb 2023
Depth Estimation and Image Restoration by Deep Learning from Defocused Images Saqib Nazir Lorenzo Vaquero M. Mucientes V. Brea D. Coltuc 3DV MDE 34 11 0 21 Feb 2023
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis Weiqin Zhao Shujun Wang Maximus C. F. Yeung Tianye Niu Lequan Yu 44 9 0 21 Feb 2023
Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional Strategies Wee Ling Tan Stephen J. Roberts S. Zohren AI4TS AIFin 21 10 0 20 Feb 2023
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection Soumyajit Gupta Sooyong Lee Maria De-Arteaga Matthew Lease 27 13 0 14 Feb 2023
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding Zhangyang Gao Yuqi Hu Cheng Tan Stan Z. Li 34 13 0 14 Feb 2023
Multi-task Highly Adaptive Lasso Ivana Malenica Rachael V. Phillips D. Lazzareschi Jeremy Coyle Romain Pirracchio Mark van der Laan 30 0 0 27 Jan 2023
Training Semantic Segmentation on Heterogeneous Datasets Panagiotis Meletis Gijs Dubbelman 26 2 0 18 Jan 2023
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations Xuewen Tao Mingming Ha Xiaobo Guo Qiongxu Ma Ho Kei Cheng Wenfang Lin 21 0 0 06 Jan 2023
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge Ricards Marcinkevics Ece Ozkan Julia E. Vogt OOD LM&MA FedML 26 2 0 23 Dec 2022
Planning-oriented Autonomous Driving Yi Hu Jiazhi Yang Li Chen Keyu Li Chonghao Sima ... Xiaosong Jia Qiang Liu Jifeng Dai Yu Qiao Hongyang Li 52 589 0 20 Dec 2022
PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment Chen Zhang L. F. D’Haro Qiquan Zhang Thomas Friedrichs Haizhou Li 26 7 0 18 Dec 2022
Multi-task Learning for Personal Health Mention Detection on Social Media O. Aduragba Jialin Yu Alexandra I. Cristea 19 0 0 09 Dec 2022
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data Roei Herzig Ofir Abramovich Elad Ben-Avraham Assaf Arbelle Leonid Karlinsky Ariel Shamir Trevor Darrell Amir Globerson 41 16 0 08 Dec 2022
Vicious Classifiers: Data Reconstruction Attack at Inference Time Mohammad Malekzadeh Deniz Gunduz AAML MIACV 16 0 0 08 Dec 2022
Physics-constrained deep learning postprocessing of temperature and humidity Francesco Zanetta D. Nerini Tom Beucler M. Liniger AI4CE 13 5 0 07 Dec 2022
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight Yunhua Zhang Hazel Doughty Cees G. M. Snoek VLM 40 0 0 05 Dec 2022
How to Train an Accurate and Efficient Object Detection Model on Any Dataset Galina Zalesskaya B. Bylicka Eugene Liu 3DH 34 3 0 30 Nov 2022
A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering Matthew Maufe James Ravenscroft Rob Procter Maria Liakata 24 3 0 30 Nov 2022
Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model Jinho Chang Jong Chul Ye AI4CE 22 29 0 19 Nov 2022
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey Otávio Parraga Martin D. Móre C. M. Oliveira Nathan Gavenski L. S. Kupssinskü Adilson Medronha L. V. Moura Gabriel S. Simões Rodrigo C. Barros 42 11 0 10 Nov 2022
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty Shiyuan He Hanxuan Ye Kejun He 21 0 0 09 Nov 2022
SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content Apurva Gandhi Ryan Serrao Biyi Fang Gilbert Antonius Jenna Hong ... Sheng Yi Ehimwenma Nosakhare Irene Shaffer Soundararajan Srinivasan Vikrant Gupta VLM 18 0 0 08 Nov 2022
Towards Versatile Embodied Navigation H. Wang Wei Liang Luc Van Gool Wenguan Wang LM&Ro 47 20 0 30 Oct 2022
Multi-Environment based Meta-Learning with CSI Fingerprints for Radio Based Positioning Anastasios Foliadis M. H. C. García R. Stirling-Gallacher Reiner S. Thomä 8 9 0 26 Oct 2022
FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation Chen Zhang L. F. D’Haro Qiquan Zhang Thomas Friedrichs Haizhou Li 21 15 0 25 Oct 2022
Exclusive Supermask Subnetwork Training for Continual Learning Prateek Yadav Joey Tianyi Zhou CLL 30 5 0 18 Oct 2022
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models Nikolaos Dimitriadis P. Frossard Franccois Fleuret 29 25 0 18 Oct 2022
Robot Learning Theory of Mind through Self-Observation: Exploiting the Intentions-Beliefs Synergy Francesca Bianco D. Ognibene 34 1 0 17 Oct 2022
Watermarking Pre-trained Language Models with Backdooring Chenxi Gu Chengsong Huang Xiaoqing Zheng Kai-Wei Chang Cho-Jui Hsieh WaLM 23 44 0 14 Oct 2022
Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework Zong Fan Ping Gong Shanshan Tang Christine U. Lee Xiaohui Zhang P. Song Shigao Chen Hua Li 16 2 0 11 Oct 2022
Towards an Efficient ML System: Unveiling a Trade-off between Task Accuracy and Engineering Efficiency in a Large-scale Car Sharing Platform Kyungchul Park Hyun-Kyo Chung S. Kwon 21 0 0 10 Oct 2022
xDBTagger: Explainable Natural Language Interface to Databases Using Keyword Mappings and Schema Graph Arif Usta Akifhan Karakayali Özgür Ulusoy 32 3 0 07 Oct 2022
Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning Riccardo Finotello D. L’hermite Celine Quéré Benjamin Rouge M. Tamaazousti J. Sirven 22 1 0 07 Oct 2022
Neural Distillation as a State Representation Bottleneck in Reinforcement Learning Valentin Guillet D. Wilson Carlos Aguilar-Melchor Emmanuel Rachelson 11 1 0 05 Oct 2022
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search Thanh Vu Yan-Quan Zhou Chun-Yung Wen Yueqi Li Jan-Michael Frahm 39 4 0 04 Oct 2022
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference Mu Yuan Lan Zhang Zimu Zheng Yi-Nan Zhang Xiang-Yang Li 25 2 0 28 Sep 2022
Grouped Adaptive Loss Weighting for Person Search Yanling Tian Di Chen Yunan Liu Shanshan Zhang Jian Yang 36 4 0 23 Sep 2022
Grape Cold Hardiness Prediction via Multi-Task Learning Aseem Saxena Paola Pesántez-Cabrera Rohan Ballapragada Kin-Ho Lam M. Keller Alan Fern VLM 11 5 0 21 Sep 2022
Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer Transformers Adebayo Oshingbesan Courage Ekoh Germann Atakpa Yonah Byaruagaba 8 0 0 21 Sep 2022
Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction Michiel van der Meer Myrthe Reuver Urja Khurana Lea Krause Selene Báez Santamaría 40 14 0 19 Sep 2022
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving Xiwen Liang Yangxin Wu Jianhua Han Hang Xu Chunjing Xu Xiaodan Liang 24 31 0 19 Sep 2022
Modular Federated Learning Kuo-Yun Liang A. Srinivasan J. C. Andresen FedML 28 7 0 07 Sep 2022
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems Mao Ye Ruichen Jiang Haoxiang Wang Dhruv Choudhary Xiaocong Du Bhargav Bhushanam Aryan Mokhtari A. Kejariwal Qiang Liu TTA OOD AI4TS 37 8 0 02 Sep 2022
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization Tiantian Zhang Zichuan Lin Yuxing Wang Deheng Ye Qiang Fu Wei Yang Xueqian Wang Bin Liang Bo Yuan Xiu Li CLL 35 10 0 01 Sep 2022
Prompt Tuning with Soft Context Sharing for Vision-Language Models Kun Ding Ying Wang Pengzhang Liu Qiang Yu Hao Zhang Shiming Xiang Chunhong Pan VPVLM VLM 29 14 0 29 Aug 2022