End-to-End Multi-Task Learning with Attention

28 March 2018

Papers citing "End-to-End Multi-Task Learning with Attention"

42 / 142 papers shown

Title
Estimating Respiratory Rate From Breath Audio Obtained Through Wearable Microphones Agni Kumar Vikramjit Mitra Carolyn Oliver Adeeti V. Ullal Matt Biddulph Irida Mance 17 29 0 28 Jul 2021
Adaptive Transfer Learning on Graph Neural Networks Xueting Han Zhenhuan Huang Bang An Jing Bai 22 59 0 19 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 26 15 0 28 Jun 2021
Heterogeneous Multi-task Learning with Expert Diversity Raquel Y. S. Aoki Frederick Tung Gabriel L. Oliveira MoE 31 22 0 20 Jun 2021
MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task Yiqun Yao Michalis Papakostas Mihai Burzo M. Abouelenien Rada Mihalcea 30 16 0 17 May 2021
Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business M. Edrisi 22 0 0 09 May 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks Maxime Kayser Oana-Maria Camburu Leonard Salewski Cornelius Emde Virginie Do Zeynep Akata Thomas Lukasiewicz VLM 23 100 0 08 May 2021
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer M. Elmahdy Laurens Beljaards Sahar Yousefi Hessam Sokooti F. Verbeek U. A. van der Heide Marius Staring 15 20 0 05 May 2021
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations Pongpisit Thanasutives M. Numao Ken-ichi Fukui AI4CE 16 24 0 29 Apr 2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation Mengyao Zhai Lei Chen Jiawei He Megha Nawhal Frederick Tung Greg Mori CLL 30 27 0 24 Apr 2021
Multi-target prediction for dummies using two-branch neural networks Dimitrios Iliadis B. De Baets Willem Waegeman 17 9 0 19 Apr 2021
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer Jiaxin Cheng Ayush Jaiswal Yue Wu P. Natarajan Premkumar Natarajan 96 43 0 18 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 31 129 0 01 Apr 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning Michael Ruchte Josif Grabocka 24 58 0 24 Mar 2021
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT Xiaohang Fu Lei Bi Ashnil Kumar M. Fulham Jinman Kim 9 29 0 05 Mar 2021
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 21 85 0 03 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 72 980 0 03 Mar 2021
Learning Invariant Representations across Domains and Tasks Jindong Wang Wenjie Feng Chang-Shu Liu Chaohui Yu Min Du Renjun Xu Tao Qin Tie-Yan Liu OOD 28 3 0 03 Mar 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin G. Walters Rose Yu OOD AI4TS AI4CE 24 31 0 20 Feb 2021
Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries Swathikiran Sudhakaran Sergio Escalera O. Lanz EgoV 25 15 0 16 Feb 2021
Meta-Learning for Effective Multi-task and Multilingual Modelling Ishan Tarunesh Sushil Khyalia Vishwajeet Kumar Ganesh Ramakrishnan P. Jyothi 31 16 0 25 Jan 2021
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting Mingjie Wang Hao Cai Xianfeng Han Jun Zhou Minglun Gong 29 41 0 18 Dec 2020
Exploiting Learnable Joint Groups for Hand Pose Estimation Moran Li Yuan Gao Nong Sang 3DH 21 35 0 17 Dec 2020
COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19 Guoqing Bao Huai Chen Tongliang Liu G. Gong Yong Yin Lisheng Wang Xiuying Wang 16 24 0 10 Dec 2020
Detecting 32 Pedestrian Attributes for Autonomous Vehicles Taylor Mordan Matthieu Cord P. Pérez Alexandre Alahi 24 22 0 04 Dec 2020
Measuring and Harnessing Transference in Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 28 15 0 29 Oct 2020
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout Zhao Chen Jiquan Ngiam Yanping Huang Thang Luong Henrik Kretzschmar Yuning Chai Dragomir Anguelov 41 206 0 14 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 27 608 0 10 Sep 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference Menelaos Kanakis David Brüggemann Suman Saha Stamatios Georgoulis Anton Obukhov Luc Van Gool CLL 22 72 0 24 Jul 2020
Auxiliary Learning by Implicit Differentiation Aviv Navon Idan Achituve Haggai Maron Gal Chechik Ethan Fetaya 23 59 0 22 Jun 2020
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 23 31 0 17 Jun 2020
Learning to Branch for Multi-Task Learning Pengsheng Guo Chen-Yu Lee Daniel Ulbricht 13 174 0 02 Jun 2020
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking Yifu Zhang Chunyu Wang Xinggang Wang Wenjun Zeng Wenyu Liu VOT 34 1,303 0 04 Apr 2020
Multi-channel U-Net for Music Source Separation V. S. Kadandale Juan F. Montesinos G. Haro Emilia Gómez 32 8 0 23 Mar 2020
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification Longbiao Mao Y. Yan Jing-Hao Xue Hanzi Wang CVBM 6 48 0 10 Feb 2020
Looking at the right stuff: Guided semantic-gaze for autonomous driving Anwesan Pal S. Mondal H. Christensen 21 51 0 24 Nov 2019
Imbalance Problems in Object Detection: A Review Kemal Oksuz Baris Can Cam Sinan Kalkan Emre Akbas ObjD 16 458 0 31 Aug 2019
Feature Partitioning for Efficient Multi-Task Architectures Alejandro Newell Lu Jiang Chong-Jun Wang Li-Jia Li Jia Deng 22 17 0 12 Aug 2019
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation Jogendra Nath Kundu Nishank Lakkakula R. Venkatesh Babu 19 59 0 11 Aug 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 13 502 0 18 May 2019
Indoor Semantic Segmentation using depth information Camille Couprie C. Farabet Laurent Najman Yann LeCun SSeg MDE 78 473 0 16 Jan 2013
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 184 524 0 27 Jun 2012