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"

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Title
Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections Zeyu Zhu Huijing Zhao 24 8 0 21 Feb 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent Sotirios Nikoloutsopoulos I. Koutsopoulos Michalis K. Titsias FedML 31 9 0 20 Feb 2022
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences M. Izadi Roberta Gismondi Georgios Gousios 21 97 0 14 Feb 2022
Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation Ramy Hussein Moss Y. Zhao David Shin Jia Guo Kevin T. Chen R. D. Armindo G. Davidzon M. Moseley Greg Zaharchuk MedIm 19 8 0 12 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Micro-level Reserving for General Insurance Claims using a Long Short-Term Memory Network Ihsan Chaoubi C. Besse Hélène Cossette Marie-Pier Côté AI4TS 4 4 0 27 Jan 2022
PaRT: Parallel Learning Towards Robust and Transparent AI Mahsa Paknezhad Hamsawardhini Rengarajan Chenghao Yuan Sujanya Suresh Manas Gupta Savitha Ramasamy Hwee Kuan Lee OOD 38 1 0 24 Jan 2022
Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker Classifier Joint Training J. Yang Lei He 28 11 0 20 Jan 2022
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery Xiaoqi Wang Yingjie Cheng Yaning Yang Yue Yu Fei Li Shaoliang Peng 23 41 0 12 Jan 2022
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling Yang Long Gui-Song Xia L. Zhang Gong Cheng Deren Li 16 14 0 06 Jan 2022
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate Xiaonan Nie Xupeng Miao Shijie Cao Lingxiao Ma Qibin Liu Jilong Xue Youshan Miao Yi Liu Zhi-Xin Yang Tengjiao Wang MoMe MoE 26 22 0 29 Dec 2021
Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases Shrimai Prabhumoye Rafal Kocielnik M. Shoeybi Anima Anandkumar Bryan Catanzaro 35 20 0 15 Dec 2021
Multi-treatment Effect Estimation from Biomedical Data Raquel Y. S. Aoki Yizhou Chen M. Ester 18 0 0 14 Dec 2021
Sequence-level self-learning with multiple hypotheses K. Kumatani Dimitrios Dimitriadis Yashesh Gaur R. Gmyr Sefik Emre Eskimez Jinyu Li Michael Zeng SSL 20 1 0 10 Dec 2021
Gesture Recognition with a Skeleton-Based Keyframe Selection Module Yunsoo Kim Hyun Myung SLR 25 1 0 03 Dec 2021
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving Manabu Nakanoya Junha Im Hang Qiu Sachin Katti Marco Pavone Sandeep P. Chinchali FedML 27 11 0 02 Dec 2021
Inducing Causal Structure for Interpretable Neural Networks Atticus Geiger Zhengxuan Wu Hanson Lu J. Rozner Elisa Kreiss Thomas F. Icard Noah D. Goodman Christopher Potts CML OOD 35 70 0 01 Dec 2021
Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning Partoo Vafaeikia M. Wagner U. Tabori B. Ertl-Wagner Farzad Khalvati 9 6 0 29 Nov 2021
Learning Multiple Dense Prediction Tasks from Partially Annotated Data Weihong Li Xialei Liu Hakan Bilen 45 39 0 29 Nov 2021
Cross-Task Consistency Learning Framework for Multi-Task Learning Akihiro Nakano Shi Chen K. Demachi CVBM 22 3 0 28 Nov 2021
Learning to Transfer for Traffic Forecasting via Multi-task Learning Y. Lu AI4TS 32 7 0 27 Nov 2021
ML-Decoder: Scalable and Versatile Classification Head T. Ridnik Gilad Sharir Avi Ben-Cohen Emanuel Ben-Baruch Asaf Noy VLM 32 102 0 25 Nov 2021
Auxiliary Loss Reweighting for Image Inpainting Siqi Hui Sanping Zhou Ye Deng Wenli Huang Jinjun Wang 40 1 0 14 Nov 2021
On Transferability of Prompt Tuning for Natural Language Processing Yusheng Su Xiaozhi Wang Yujia Qin Chi-Min Chan Yankai Lin ... Peng Li Juanzi Li Lei Hou Maosong Sun Jie Zhou AAML VLM 26 98 0 12 Nov 2021
Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks Wang Zhu Peter Shaw Tal Linzen Fei Sha 35 7 0 09 Nov 2021
Learned Image Compression for Machine Perception Felipe Codevilla Jean-Gabriel Simard Ross Goroshin C. Pal 24 20 0 03 Nov 2021
MetaICL: Learning to Learn In Context Sewon Min M. Lewis Luke Zettlemoyer Hannaneh Hajishirzi LRM 56 467 0 29 Oct 2021
Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu Xingchao Liu Xiaojie Jin Peter Stone Qiang Liu 47 297 0 26 Oct 2021
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translation Wenju Xu Guanghui Wang 38 14 0 21 Oct 2021
Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning Ren Wang Zhe Xu Alfred Hero 30 0 0 06 Oct 2021
Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes Celia Martín Vicario Florian Kordon Felix Denzinger Markus Weiten H. Keil J. Franke Sarina Thomas Lisa Kausch Andreas Maier H. Kunze 64 7 0 15 Sep 2021
MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces Srinagesh Sharma Guoqing Zheng Ahmed Hassan Awadallah 27 1 0 09 Sep 2021
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 35 3,567 0 03 Sep 2021
Improving Multimodal fusion via Mutual Dependency Maximisation Pierre Colombo E. Chapuis Matthieu Labeau Chloé Clavel 13 30 0 31 Aug 2021
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification Firoj Alam Tanvirul Alam Md. Arid Hasan A. Hasnat Muhammad Imran Ferda Ofli VLM 28 51 0 29 Aug 2021
Grammar Based Speaker Role Identification for Air Traffic Control Speech Recognition Amrutha Prasad Juan Pablo Zuluaga P. Motlícek Seyyed Saeed Sarfjoo Iuliia Nigmatulina Oliver Ohneiser H. Helmke 27 6 0 27 Aug 2021
Multi-Task Self-Training for Learning General Representations Golnaz Ghiasi Barret Zoph E. D. Cubuk Quoc V. Le Nayeon Lee SSL 24 100 0 25 Aug 2021
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral Lucio Dery Yann N. Dauphin David Grangier MoMe 13 29 0 25 Aug 2021
An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction Conor O'Brien Kin Sum Liu James Neufeld Rafael Barreto Jonathan J. Hunt 16 14 0 18 Aug 2021
Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing Alberto Muñoz-Ortiz Michalina Strzyz David Vilares 24 8 0 17 Aug 2021
Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images Hamza Rasaee H. Rivaz AAML 13 18 0 09 Aug 2021
The Bias-Variance Tradeoff of Doubly Robust Estimator with Targeted $L_1$ regularized Neural Networks Predictions M. Rostami O. Saarela M. Escobar 40 1 0 02 Aug 2021
Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making Debabrata Mahapatra Vaibhav Rajan 25 2 0 02 Aug 2021
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification Ralf Raumanns Gerard Schouten Max Joosten J. Pluim V. Cheplygina 17 5 0 27 Jul 2021
Rethinking Hard-Parameter Sharing in Multi-Domain Learning Lijun Zhang Qizheng Yang Xiao Liu Hui Guan OOD 31 14 0 23 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 22 21 0 02 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
Heterogeneous Multi-task Learning with Expert Diversity Raquel Y. S. Aoki Frederick Tung Gabriel L. Oliveira MoE 39 22 0 20 Jun 2021
Specializing Multilingual Language Models: An Empirical Study Ethan C. Chau Noah A. Smith 27 27 0 16 Jun 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Bo-wen Li 37 88 0 16 Jun 2021