Multi-Task Learning with Deep Neural Networks: A Survey

10 September 2020

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

32 / 282 papers shown

Title
ProAI: An Efficient Embedded AI Hardware for Automotive Applications -- a Benchmark Study Sven Mantowsky Falk Heuer S. S. Bukhari M. Keckeisen Georg Schneider 8 3 0 11 Aug 2021
How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation? Mahdi Pourmirzaei Farzaneh Esmaili G. Montazer Sasan Karamizadeh Seyedehsamaneh Shojaeilangari 32 0 0 10 Aug 2021
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions Anil Rahate Rahee Walambe S. Ramanna K. Kotecha 27 135 0 29 Jul 2021
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes Xin-Chun Li Le Gan De-Chuan Zhan Yunfeng Shao Bingshuai Li Shaoming Song OOD 22 9 0 26 Jul 2021
Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery Gyri Reiersen David Dao Björn Lütjens Konstantin Klemmer Xiaoxiang Zhu Ce Zhang 20 5 0 23 Jul 2021
End-To-End Data-Dependent Routing in Multi-Path Neural Networks Dumindu Tissera Rukshan Wijesinghe Kasun Vithanage A. Xavier Subha Fernando Ranga Rodrigo MoE 20 0 0 06 Jul 2021
Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference Lu Gan Youngji Kim J. Grizzle Jeffrey M. Walls Ayoung Kim Ryan Eustice Maani Ghaffari 32 15 0 28 Jun 2021
Specializing Multilingual Language Models: An Empirical Study Ethan C. Chau Noah A. Smith 27 27 0 16 Jun 2021
Efficient Training of Visual Transformers with Small Datasets Yahui Liu E. Sangineto Wei Bi N. Sebe Bruno Lepri Marco De Nadai ViT 36 164 0 07 Jun 2021
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data L. E. L. Rosa Camile Sothe R. Feitosa C. Almeida M. B. Schimalski Dario Augusto Borges Oliveira 6 42 0 01 Jun 2021
Efficient and robust multi-task learning in the brain with modular latent primitives Christian David Márton Léo Gagnon Guillaume Lajoie Kanaka Rajan 17 6 0 28 May 2021
Learning a Universal Template for Few-shot Dataset Generalization Eleni Triantafillou Hugo Larochelle R. Zemel Vincent Dumoulin 32 92 0 14 May 2021
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation Mahdi Pourmirzaei G. Montazer Farzaneh Esmaili CVBM 29 26 0 13 May 2021
Accent Recognition with Hybrid Phonetic Features Zhan Zhang Xi Chen Yuehai Wang Jianyi Yang 16 18 0 05 May 2021
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators Yue Guo Felix Dietrich Tom S. Bertalan Danimir T. Doncevic Manuel Dahmen Ioannis G. Kevrekidis Qianxiao Li 14 11 0 04 May 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 181 687 0 22 Apr 2021
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems Cong Hao Deming Chen 13 20 0 08 Apr 2021
Unified Detection of Digital and Physical Face Attacks Debayan Deb Xiaoming Liu Anil K. Jain CVBM AAML 16 31 0 05 Apr 2021
UniT: Multimodal Multitask Learning with a Unified Transformer Ronghang Hu Amanpreet Singh ViT 16 295 0 22 Feb 2021
Deep Gait Recognition: A Survey Alireza Sepas-Moghaddam Ali Etemad CVBM 27 172 0 18 Feb 2021
High-fidelity Prediction of Megapixel Longitudinal Phase-space Images of Electron Beams using Encoder-Decoder Neural Networks Jun Zhu Ye Chen F. Brinker W. Decking S. Tomin H. Schlarb AI4CE 19 25 0 25 Jan 2021
A Review on Deep Learning in UAV Remote Sensing L. Osco J. M. Junior A. P. Ramos L. Jorge S. Fatholahi J. Silva E. Matsubara H. Pistori W. Gonçalves Jonathan Li AI4Cl 39 341 0 22 Jan 2021
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction John Phillips Julieta Martinez Ioan Andrei Bârsan Sergio Casas Abbas Sadat R. Urtasun 35 36 0 17 Jan 2021
Task-driven Self-supervised Bi-channel Networks for Diagnosis of Breast Cancers with Mammography Ronglin Gong Jun Wang Jun Shi 23 0 0 15 Jan 2021
Attention-based multi-task learning for speech-enhancement and speaker-identification in multi-speaker dialogue scenario Chiang-Jen Peng Yun-Ju Chan Cheng Yu Syu-Siang Wang Yu Tsao T. Chi 13 3 0 07 Jan 2021
CompositeTasking: Understanding Images by Spatial Composition of Tasks Nikola Popovic D. Paudel Thomas Probst Guolei Sun Luc Van Gool 16 7 0 16 Dec 2020
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark Efrén Rama-Maneiro J. Vidal Manuel Lama 6 74 0 24 Sep 2020
Deep Elastic Networks with Model Selection for Multi-Task Learning Chanho Ahn Eunwoo Kim Songhwai Oh 49 49 0 11 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 184 524 0 27 Jun 2012
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 181 292 0 09 Mar 2009