"Attention and Memory-Augmented Networks for Dual-View Sequential Learning"

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Book	Author(s)	Year	Publisher
Attention and Memory-Augmented Networks for Dual-View Sequential Learning	Yong He, Cheng Wang, Nan Li, Zhenyu Zeng	2020	Association for Computing Machinery
Frequency in Language: Memory, Attention and Learning	Dagmar Divjak	2019-10	Cambridge University Press
Memory and Brain Dynamics: Oscillations Integrating Attention, Perception, Learning, and Memory	Erol Basar	2004	Routledge
Attention and Memory	G. Underwood	1976	Pergamon
Attention and memory	William K. Estes	1976	L. Erlbaum Associates;distributed by Halsted Press Division of Wiley
Dual Learning	Tao Qin	1st ed. 2020	Springer Nature Singapore
Memory, Learning, and Higher Function: A Cellular View	Charles D. Woody	1982	Springer New York
Handbook of Learning and Cognitive Processes (Volume 4): Attention and Memory	William Estes	1976	Routledge
Augmented Reality for Enhanced Learning Environments	Gerardo Reyes Ruiz (editor), Marisol Hernandez Hernandez (editor)	2018	Information Science Reference
Attention, memory, and executive function /	Lyon, G. Reid,; Krasnegor, Norman A.	[1996], ©1996.	P.H. Brookes Pub. Co.,
Attention in discrimination learning: a point of view and a theory.	Elijah Lovejoy	1968	Holden-Day
Attention and Memory: An Integrated Framework	Nelson Cowan	1998	Oxford University Press
Attention and memory: an integrated framework	Nelson Cowan	1995	Oxford University Press;Clarendon Press
Spatial Learning and Attention Guidance	Stefan Pollmann	1st ed. 2020	Springer US
The design of interpreters, compilers, and editors for augmented transition networks	Timothy Wilking Finin (auth.), Leonard Bloc (eds.)	1983	Springer-Verlag Berlin Heidelberg
The Design of Interpreters, Compilers, and Editors for Augmented Transition Networks	Leonard Bloc	1983	Springer Berlin Heidelberg
Learning and Memory	David A. Lieberman	2011-12	Cambridge University Press
Learning and Memory	Darrell Rudmann	October 2017	SAGE Publications, Inc
Learning and Memory	Mark A. Gluck, Eduardo Mercado, Catherine E. Myers	2016	Worth Publishers
Learning and memory	Wayne A. Wickelgren
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Attention and Memory Augmented Networks	Uday Kamath; John Liu; James Whitaker	Deep Learning for NLP and Speech Recognition	Uday Kamath; John Liu; James Whitaker	1st ed. 2019	Springer International Publishing
Memory-Augmented Attention Network for Sequential Recommendation	Cheng Hu; Peijian He; Chaofeng Sha; Junyu Niu	Web Information Systems Engineering – WISE 2019: 20th International Conference, Hong Kong, China, January 19–22, 2020, Proceedings	Reynold Cheng; Nikos Mamoulis; Yizhou Sun; Xin Huang	1st ed. 2019	Springer International Publishing
Dual Control Memory Augmented Neural Networks for Treatment Recommendations	Hung Le; Truyen Tran; Svetha Venkatesh	Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III	Dinh Phung; Vincent S. Tseng; Geoffrey I. Webb; Bao Ho; Mohadeseh Ganji; Lida Rashidi	1st ed. 2018	Springer International Publishing
Attention, Learning, and Memory	Gershon Berkson	Children with Handicaps: A Review of Behavioral Research	Gershon Berkson	1993	Routledge
Memory, Learning, and Attention	Judith A. Sugar; Joan M. McDowd	Handbook of Mental Health and Aging (Second Edition)	James E. Birren; Gene D. Cohen; R. Bruce Sloane; Barry D. Lebowitz; Donna E. Deutchman; May Wykle and Nancy R. Hooyman	1992	Academic Press
Attention, memory, and learning	Michael F. Land; Benjamin W. Tatler	Looking and Acting: Vision and eye movements in natural behaviour	Michael Land; Benjamin Tatler	2009	Oxford University Press
Memory-augmented neural networks		Hands-On One-shot Learning with Python: Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch	Shruti Jadon, Ankush Garg	2020	Packt Publishing
Memory-augmented neural networks		Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks	Jay Dawani	2020	Packt Publishing
Memory augmented neural networks		Fundamentals of deep learning: designing next-generation machine intelligence algorithms /	Buduma, Nikhil,; Locascio, Nicholas,		O'Reilly Media, Inc.
Random Boolean networks for autoassociative memory: Optimization and sequential learning	D. Sherrington; K. Y. M. Wong	Statistical Mechanics of Neural Networks: Proceedings of the XIth Sitges Conference Sitges, Barcelona, Spain, 3–7 June 1990	Luis Garrido	1990	Springer Berlin Heidelberg
61 Memory networks for sequential NLP		Deep Learning for Natural Language Processing	Stephan Raaijmakers
Cognition: Memory, Attention, and Learning	Frank E. Ritter; Gordon D. Baxter; Elizabeth F. Churchill	Foundations for Designing User-Centered Systems: What System Designers Need to Know about People	Frank E. Ritter; Gordon D. Baxter; Elizabeth F. Churchill	2014	Springer London
Memory-augmented neural networks (MANN)		Hands-On Meta Learning with Python	Ravichandiran	2018	Packt Publishing, Limited
5 Memory-Augmented Neural Networks		Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow	Sudharsan Ravichandiran	2018	Packt Publishing
Attention and Convolution Enhanced Memory Network for Sequential Recommendation	Jian Liu; Pengpeng Zhao; Yanchi Liu; Jiajie Xu; Junhua Fang; Lei Zhao et al.	Database Systems for Advanced Applications: 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part II	Guoliang Li; Jun Yang; Joao Gama; Juggapong Natwichai; Yongxin Tong	1st ed. 2019	Springer International Publishing
Memory + attention + engagement = learning		Neuroteach: Brain Science and the Future of Education	Glenn Whitman, Ian Kelleher	2016	Rowman & Littlefield
Relational Metric Learning with Dual Graph Attention Networks for Social Recommendation	Xiaodong Wang; Zhen Liu; Nana Wang; Wentao Fan	Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part I	Hady W. Lauw; Raymond Chi-Wing Wong; Alexandros Ntoulas; Ee-Peng Lim; See-Kiong Ng; Sinno Jialin Pan	1st ed. 2020	Springer International Publishing
Multi-view Discriminative Sequential Learning	Ulf Brefeld; Christoph Büscher; Tobias Scheffer	Machine Learning: ECML 2005: 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings	João Gama; Rui Camacho; Pavel Brazdil; Alípio Jorge; Luís Torgo	2005	Springer Berlin Heidelberg
Sequential Bayesian Learning for Modular Neural Networks	Pan Wang; Zhun Fan; Youfeng Li; Shan Feng	Advances in Neural Networks - ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I	Jun Wang; Xiaofeng Liao; Zhang Yi	2005	Springer Berlin Heidelberg
Attention is essential for most learning and memory		Essentials of educational psychology: big ideas to guide effective teaching	Jeanne Ellis Ormrod	2012	Pearson
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