"Neural Architecture Search for Extreme Multi-label Text Classification"

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Book	Author(s)	Year	Publisher
Neural networks for classification	William Christopher Pritchett	1998	Available from National Technical Information Service
Multi-Label Dimensionality Reduction	Liang Sun; Shuiwang Ji; Jieping Ye	2013	Routledge
Classification, search, and retrieval in a multi-variable, multi-level taxonomy: application to decisionnet	Christopher M. Corgnati	1997	Naval Postgraduate School;Available from National Technical Information Service
Real-Time Multi-Chip Neural Network for Cognitive Systems	Amir Zjajo; Rene van Leuken	2018	River Publishers
Machine learning, neural and statistical classification /	Michie, Donald.; Spiegelhalter, D. J.; Taylor, C. C.,	1994.	Prentice Hall,
Wellmania: extreme misadventures in the search for wellness	Brigid Delaney	2018
The Neural Architecture of Grammar	Stephen E. Nadeau	2012	The MIT Press
The Neural Architecture of Grammar	Stephen E. Nadeau	2012	MIT Press,
The Neural Architecture of Grammar	Stephen E. Nadeau	2012	The MIT Press
Wavelet Based Decomposition and Neural Network Classification for Melanoma Diagnosis	"V. Lalitha" "G. Geetha"	2014	Association of Scientists, Developers and Faculties
Command and control architecture for multi-national operations	Darren L. Turner	1992	Naval Postgraduate School;Available from the National Technical Information Service
Text mining using neural networks	Waleed A. Zaghloul	2005	University of Nebraska-Lincoln
From Fault Classification to Fault Tolerance for Multi-Agent Systems	Katia Potiron; Amal El Fallah Seghrouchni; Patrick Taillibert	2013	Springer London
Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms	Adnan Masood	2021	Packt Publishing Ltd
Modular learning in neural networks: a modularized approach to neural network classification	Tomas Hrycej	1992	Wiley
Software architecture for a multi-level real-time system	Omer Korkut	1998	Naval Postgraduate School;Available from National Technical Information Service
Complex-Valued Neural Networks with Multi-Valued Neurons	Igor Aizenberg	2011	Springer Berlin Heidelberg
Composite Materials for Extreme Loading: Proceedings of the Indo-Korean workshop on Multi Functional Materials for Extreme Loading 2021	Shankar Krishnapillai; Velmurugan R.; Sung Kyu Ha	1st ed. 2022	Springer Nature Singapore
Feature based neural network acoustic transient signal classification	Terry S. Wichert	1993	Naval Postgraduate School;Available from the National Technical Information Service
Search Techniques in Intelligent Classification Systems	Andrey V. Savchenko	1st ed. 2016	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Neural Architecture Search for Extreme Multi-label Text Classification	Loïc Pauletto; Massih-Reza Amini; Rohit Babbar; Nicolas Winckler	Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part III	Haiqin Yang; Kitsuchart Pasupa; Andrew Chi-Sing Leung; James T. Kwok; Jonathan H. Chan; Irwin King	1st ed. 2020	Springer International Publishing
A Neural Architecture for Multi-label Text Classification	Sam Coope; Yoram Bachrach; Andrej Žukov-Gregorič; José Rodriguez; Bogdan Maksak; Conan McMurtie et al.	Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1	Kohei Arai; Supriya Kapoor; Rahul Bhatia	1st ed. 2019	Springer International Publishing
Reinforcement Learning for Extreme Multi-label Text Classification	Hui Teng; Yulei Li; Fei Long; Meixia Xu; Qiang Ling	Cognitive Systems and Signal Processing: 5th International Conference, ICCSIP 2020, Zhuhai, China, December 25–27, 2020, Revised Selected Papers	Fuchun Sun; Huaping Liu; Bin Fang	1st ed. 2021	Springer Nature Singapore
Text Classification (Multi-label)		Amazon SageMaker Developer Guide	coll	2021	Amazon Web Services
Reweighting Forest for Extreme Multi-label Classification	Zhun-Zheng Lin; Bi-Ru Dai	Big Data Analytics and Knowledge Discovery: 19th International Conference, DaWaK 2017, Lyon, France, August 28–31, 2017, Proceedings	Ladjel Bellatreche; Sharma Chakravarthy	1st ed. 2017	Springer International Publishing
Extreme Learning Machine for Multi-label Classification	Haigang Zhang; Jinfeng Yang; Guimin Jia; Shaocheng Han	Proceedings of ELM 2018	Jiuwen Cao; Chi Man Vong; Yoan Miche; Amaury Lendasse	1st ed. 2020	Springer International Publishing
Neural Message Passing for Multi-label Classification	Jack Lanchantin; Arshdeep Sekhon; Yanjun Qi	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II	Ulf Brefeld; Elisa Fromont; Andreas Hotho; Arno Knobbe; Marloes Maathuis; Céline Robardet	1st ed. 2020	Springer International Publishing
Deep Learning Method with Attention for Extreme Multi-label Text Classification	Si Chen; Liangguo Wang; Wan Li; Kun Zhang	PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part III	Abhaya C. Nayak; Alok Sharma	1st ed. 2019	Springer International Publishing
Large-Scale Multi-label Text Classification — Revisiting Neural Networks	Jinseok Nam; Jungi Kim; Eneldo Loza Mencía; Iryna Gurevych; Johannes Fürnkranz	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II	Toon Calders; Floriana Esposito; Eyke Hüllermeier; Rosa Meo	2014	Springer Berlin Heidelberg
Neural Networks for Multi-lingual Multi-label Document Classification	Jiří Martínek; Ladislav Lenc; Pavel Král	Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I	Věra Kůrková; Yannis Manolopoulos; Barbara Hammer; Lazaros Iliadis; Ilias Maglogiannis	1st ed. 2018	Springer International Publishing
Multi-trial Neural Architecture Search	Ivan Gridin	Automated Deep Learning Using Neural Network Intelligence: Develop and Design PyTorch and TensorFlow Models Using Python	Ivan Gridin	1st ed.	Apress
Multi-label Text Classification Output Data		Amazon SageMaker Developer Guide	coll	2021	Amazon Web Services
ART-Based Neural Networks for Multi-label Classification	Elena P. Sapozhnikova	Advances in Intelligent Data Analysis VIII: 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings	Niall M. Adams; Céline Robardet; Arno Siebes; Jean-Francois Boulicaut	2009	Springer Berlin Heidelberg
ADAM: An Attentional Data Augmentation Method for Extreme Multi-label Text Classification	Jiaxin Zhang; Jie Liu; Shaowei Chen; Shaoxin Lin; Bingquan Wang; Shanpeng Wang	Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part I	João Gama; Tianrui Li; Yang Yu; Enhong Chen; Yu Zheng; Fei Teng	1st ed. 2022	Springer International Publishing
Label-Wise Document Pre-training for Multi-label Text Classification	Han Liu; Caixia Yuan; Xiaojie Wang	Natural Language Processing and Chinese Computing: 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14–18, 2020, Proceedings, Part I	Xiaodan Zhu; Min Zhang; Yu Hong; Ruifang He	1st ed. 2020	Springer International Publishing
Multi-label classification		Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data	Nathan George	2021	Packt Publishing
Multi-Label Classification		The Hundred-Page Machine Learning Book	Andriy Burkov	2019	Andriy Burkov
Multi-Label Classification		Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD	Jeremy Howard, Sylvain Gugger	2020	O'Reilly Media
Multi-Label Classification		The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets	Matthew Moocarme	2021	Packt Publishing - ebooks Account
Multi-Label Classification		Network Embedding Theories, Methods and Applications	Cheng Yang, Zhiyuan Liu, Cunchao Tu, Chuan Shi, Maosong Sun	2020	Morgan & Claypool Publishers
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