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 / 357 papers shown

Title
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices V. Chen Sen Wu Zhenzhen Weng Alexander Ratner Christopher Ré 13 56 0 13 Sep 2019
It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction S. Vasileva Pepa Atanasova Lluís Màrquez i Villodre Alberto Barrón-Cedeño Preslav Nakov 21 46 0 19 Aug 2019
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Jianquan Li Xiaokang Liu Wenpeng Yin Min Yang Liqun Ma Yaohong Jin AIMat 27 13 0 16 Aug 2019
Feature Partitioning for Efficient Multi-Task Architectures Alejandro Newell Lu Jiang Chong-Jun Wang Li-Jia Li Jia Deng 24 17 0 12 Aug 2019
Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress José G. M. Esgario R. Krohling J. A. Ventura 13 231 0 26 Jul 2019
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification Lukas Liebel Marco Körner 3DH 44 25 0 25 Jul 2019
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera Yuhua Chen Cordelia Schmid C. Sminchisescu SSL MDE 23 243 0 12 Jul 2019
BAM! Born-Again Multi-Task Networks for Natural Language Understanding Kevin Clark Minh-Thang Luong Urvashi Khandelwal Christopher D. Manning Quoc V. Le 19 228 0 10 Jul 2019
Growing Action Spaces Gregory Farquhar Laura Gustafson Zeming Lin Shimon Whiteson Nicolas Usunier Gabriel Synnaeve 14 37 0 28 Jun 2019
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks Mihir Kale Aditya Siddhant Sreyashi Nag R. Parik Matthias Grabmair A. Tomasic SSL 17 5 0 28 Jun 2019
NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles Sorin Grigorescu Bogdan Trasnea L. Marina Andrei Vasilcoi Tiberiu T. Cocias 22 38 0 26 Jun 2019
Variational Federated Multi-Task Learning Luca Corinzia Ami Beuret J. M. Buhmann FedML 27 159 0 14 Jun 2019
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension Minghao Hu Yuxing Peng Zhen Huang Dongsheng Li RALM 14 58 0 11 Jun 2019
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging F. Gao H. Yoon Teresa Wu Xianghua Chu 22 84 0 05 Jun 2019
Episodic Memory in Lifelong Language Learning Cyprien de Masson dÁutume Sebastian Ruder Lingpeng Kong Dani Yogatama CLL KELM 34 280 0 03 Jun 2019
Sequential mastery of multiple visual tasks: Networks naturally learn to learn and forget to forget Guy Davidson Michael C. Mozer CLL 18 23 0 26 May 2019
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation Xuhua Ren Lichi Zhang Sahar Ahmad Dong Nie Fan Yang L. Xiang Qian Wang D. Shen 19 26 0 21 May 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas J. Guibas Jitendra Malik Silvio Savarese 18 502 0 18 May 2019
Deep Neural Networks for Marine Debris Detection in Sonar Images Matias Valdenegro-Toro 27 25 0 13 May 2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning Tom Schaul Diana Borsa Joseph Modayil Razvan Pascanu 13 63 0 25 Apr 2019
Artificial Intelligence for Pediatric Ophthalmology J. Reid Eric Eaton 27 60 0 06 Apr 2019
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data F. Diakogiannis F. Waldner P. Caccetta Chen Wu SSeg 22 1,276 0 01 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 24 48 0 31 Mar 2019
A Principled Approach for Learning Task Similarity in Multitask Learning Changjian Shui Mahdieh Abbasi Louis-Émile Robitaille Boyu Wang Christian Gagné 26 56 0 21 Mar 2019
Practical Semantic Parsing for Spoken Language Understanding Marco Damonte Rahul Goel Tagyoung Chung ReLM 27 26 0 11 Mar 2019
Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition Thai-Hoang Pham Khai Mai M. T. Nguyen Nguyen Tuan Duc Danushka Bollegala Ryohei Sasano Satoshi Sekine 24 4 0 26 Feb 2019
Audio-Linguistic Embeddings for Spoken Sentences Albert Haque Michelle Guo Prateek Verma Li Fei-Fei 22 51 0 20 Feb 2019
Pedestrian Attribute Recognition: A Survey Tianlin Li Shaofei Zheng Rui Yang Aihua Zheng Zhe Chen Jin Tang B. Luo CVBM 28 127 0 22 Jan 2019
Reducing the Model Variance of a Rectal Cancer Segmentation Network Joohyun Lee J. Oh Min Ju Kim B. Hur D. Sohn 22 15 0 22 Jan 2019
Hybrid coarse-fine classification for head pose estimation Haofan Wang Zhenghua Chen Yi Zhou CVBM 3DH 27 19 0 21 Jan 2019
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization Sendong Zhao Ting Liu Sicheng Zhao Fei Wang MedIm 16 113 0 14 Dec 2018
Fast Online Object Tracking and Segmentation: A Unifying Approach Qiang Wang Li Zhang Luca Bertinetto Weiming Hu Philip Torr VOS 16 1,200 0 12 Dec 2018
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition Yossi Adi Neil Zeghidour R. Collobert Nicolas Usunier Vitaliy Liptchinsky Gabriel Synnaeve 29 39 0 09 Dec 2018
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech Aparna Balagopalan Jekaterina Novikova Frank Rudzicz Marzyeh Ghassemi 6 21 0 29 Nov 2018
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction Soumya Sanyal J. Balachandran N. Yadati Abhishek Kumar Padmini Rajagopalan Suchismita Sanyal Partha P. Talukdar 24 48 0 14 Nov 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 18 233 0 29 Oct 2018
Applying Deep Learning To Airbnb Search Malay Haldar Mustafa Abdool Prashant Ramanathan Tao Xu Shulin Yang ... Qing Zhang Nick Barrow-Williams B. Turnbull Brendan M. Collins Thomas Legrand DML 20 83 0 22 Oct 2018
A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification Ruizhe Li Chenghua Lin Matthew Collinson Xiao Li Guanyi Chen 23 50 0 22 Oct 2018
Stop Illegal Comments: A Multi-Task Deep Learning Approach Ahmed Elnaggar Bernhard Waltl Ingo Glaser Jörg Landthaler Elena Scepankova Florian Matthes AILaw 9 15 0 15 Oct 2018
Semi-Supervised Sequence Modeling with Cross-View Training Kevin Clark Minh-Thang Luong Christopher D. Manning Quoc V. Le SSL 6 333 0 22 Sep 2018
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks Clyde Fare Lukas Turcani Edward O. Pyzer-Knapp 29 13 0 17 Sep 2018
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency Yuliang Zou Zelun Luo Jia-Bin Huang MDE 32 472 0 05 Sep 2018
Multi-Task Learning for Sequence Tagging: An Empirical Study Soravit Changpinyo Hexiang Hu Fei Sha 29 67 0 13 Aug 2018
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU Harini Suresh Jen J. Gong John Guttag 25 85 0 07 Jun 2018
Auxiliary Tasks in Multi-task Learning Lukas Liebel Marco Körner SSL 16 246 0 16 May 2018
Cross-connected Networks for Multi-task Learning of Detection and Segmentation Seiichiro Fukuda Ryota Yoshihashi Rei Kawakami Shaodi You M. Iida T. Naemura 18 15 0 15 May 2018
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage Yi-Min Chou Yi-Ming Chan Jia-Hong Lee Chih-Yi Chiu Chu-Song Chen MoMe 27 34 0 14 May 2018
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate Xiao Ma Liqin Zhao Guan Huang Zhi Wang Zelin Hu Xiaoqiang Zhu Kun Gai 12 404 0 21 Apr 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis V. Cheplygina Marleen de Bruijne J. Pluim 16 744 0 17 Apr 2018
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision Sathya Ravi Tuan Dinh Vishnu Suresh Lokhande Vikas Singh AI4CE 33 22 0 17 Mar 2018