Meta-Learning with Memory-Augmented Neural Networks
Journal of Machine Learning Research. 2016. Vol. 48.
Santoro A., Bartunov S., Botvinick M., Wierstra D., Lillicrap T.
Despite recent breakthroughs in the applications of deep neural networks, one setting that presents a persistent challenge is that of "one-shot learning." Traditional gradient-based networks require a lot of data to learn, often through extensive iterative training. When new data is encountered, the models must inefficiently relearn their parameters to adequately incorporate the new information without catastrophic interference. Architectures with augmented memory capacities, such as Neural Turing Machines (NTMs), offer the ability to quickly encode and retrieve new information, and hence can potentially obviate the downsides of conventional models. Here, we demonstrate the ability of a memory-augmented neural network to rapidly assimilate new data, and leverage this data to make accurate predictions after only a few samples. We also introduce a new method for accessing an external memory that focuses on memory content, unlike previous methods that additionally use memory location-based focusing mechanisms.
The 13th IEEE International Conference on Application of Information and Communication Technologies (AICT2019): / Conference Proceedings
Baku : The Institute of Electrical and Electronics Engineering, Inc., 2019
The IEEE 13th International Conference on Application of Information and Communication Technologies (AICT2019) will be held in Baku, Azerbaijan on the 23, 24 and 25th of October 2019. The AICT2019 is organized by the ADA University, Institute of Information Technology of ANAS, University Malaysia Sabah with support of IEEE Azerbaijan Joint Chapter and technically sponsored ...
Added: December 18, 2019
, , et al., Journal of Physics: Conference Series 2018 Vol. 1085 No. 4 P. 042025-1-042025-6
Traces of electro-magnetic showers in the neutrino experiments may be considered as signals of dark-matter particles. For example, SHiP experiment is going to use emulsion film detectors similar to the ones designed for OPERA experiment from dark matter search. The goal of this research is to develop an algorithm that can identify traces of electro-magnetic ...
Added: December 8, 2017
Analysis of Images, Social Networks and Texts Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected Papers
Berlin : Springer, 2014
This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74 submissions. They are presented together with 3 short industrial papers, 4 invited papers and ...
Added: November 13, 2014
, , et al., ACM SIGIR Forum 2016 Vol. 49 No. 2 P. 72-79
This paper provides the reader with a report on 9th Russian Summer School in Information Retrieval (RuSSIR 2015). ...
Added: February 27, 2017
CEE-SECR '19 Proceedings of the 15th Central and Eastern European Software Engineering Conference in Russia
, NY : ACM, 2019
Added: November 20, 2019
, , et al., Труды Института системного программирования РАН 2014 Т. 26 С. 421-438
he paper presents a framework for fast text analytics developed during the Texterra project. Texterra is a technology for multilingual text mining based on novel text processing methods that exploit knowledge extracted from user-generated content. It delivers a fast scalable solution for text mining without the expensive customization. Depending on use-cases Texterra could be utilized ...
Added: November 6, 2017
, Логистика и управление цепями поставок 2018 № 4 (87) С. 27-33
One of the options for a more flexible approach to analyzing the reliability of supply chains is the principal component analysis (PCA). With a large number of variables describing supply chain, it is a difficult task to analyze the structure of variables in two-dimensional space. Within the analysis of the variables dependencies PCA allows to ...
Added: November 29, 2018
NY : IEEE, 2016
This paper aims to tackle the problem of brain network classification with machine learning algorithms using spectra of networks’ matrices. Two approaches are discussed: first, linear and tree-based models are trained on the vectors of sorted eigenvalues of the adjacency matrix, the Laplacian matrix and the normalized Laplacian; next, SVM classifier is trained with kernels ...
Added: December 9, 2016
Proceedings of Machine Learning Research. Proceedings of the International Conference on Machine Learning (ICML 2017)
Sydney : [б.и.], 2017
Proceedings of Machine Learning Research. Volume 70: International Conference on Machine Learning, 6-11 August 2017, International Convention Centre, Sydney, Australia ...
Added: February 25, 2018
CEUR Workshop Proceedings, 2019
This volume contains the papers presented at the session "Data Science" within the V International Conference on Information Technology and Nanotechnology (ITNT-2019). The conference was held in Samara, Russia, during May 21-24, 2019 (itnt-conf.org). The conference is a forum for leading researchers from all over the world aimed to discuss the latest advances in the ...
Added: September 13, 2019
Added: October 3, 2020
Added: October 21, 2019
Curran Associates, Inc., 2020
Proceedings of the international conference "Neural Information Processing Systems 2020." (NeurIPS 2020) ...
Added: October 29, 2020
Chelyabinsk : IEEE, 2018
The 2018 Global Smart Industry Conference is organized in order to exchange experience, promote discussion and presentation of research papers, and summarize results in development of innovative models, methods and technologies for the digital industry in universities, scientific and industrial associations of the Russian Federation as well as in foreign companies, and the experience of ...
Added: November 25, 2019
Formal Concept Analysis: 16th International Conference, ICFCA 2021, Strasbourg, France, June 29 – July 2, 2021, Proceedings
This book constitutes the proceedings of the 16th International Conference on Formal Concept Analysis, ICFCA 2021, held in Strasbourg, France, in June/July 2021. The 14 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 32 submissions. The book also contains four invited contributions in full paper length. The research part ...
Added: July 10, 2021
Proceedings of the international conference on Uncertainty in Artificial Intelligence (UAI 2018) ...
Added: October 29, 2018
, , Journal of machine learning and data analysis 2017 Vol. 3 No. 1 P. 20-35
Background: Gaussian processes (GP) provide an elegant and effective approach to learning in kernel machines. This approach leads to a highly interpretable model and allows using the Bayesian framework for model adaptation and incorporating the prior knowledge about the problem. The GP framework is successfully applied to regression, classification, and dimensionality reduction problems. Unfortunately, the ...
Added: December 6, 2018
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and ...
Added: September 30, 2014
, PROCEEDINGS OF THE VLDB ENDOWMENT 2021 Vol. 14 No. 12 P. 3186-3189
Array DBMSs strive to be the best systems for managing, processing, and even visualizing big N-d arrays. The last decade blossomed with R&D in array DBMS, making it a young and fast-evolving area. We present the first comprehensive tutorial on array DBMS R&D. We start from past impactful results that are still relevant today, then ...
Added: June 4, 2021
, , et al., Inorganic Materials: Applied Research 2021 Vol. 12 No. 2 P. 328-336
New chalcospinels of the most common compositions were predicted: AIBIIICIVX4 (X = S or Se) and AIIBIIICIIIS4 (A, B, and C are various chemical elements). They are promising for the search for new materials for magneto-optical memory elements, sensors, and anodes in sodium-ion batteries. The parameter “a” values of their crystal lattice are estimated. When predicting, only the ...
Added: April 2, 2021
This volume compiles a selection of papers associated with the fourth edition of the Demonstration and Competition Track at NeurIPS 2020. The track comprised 16 competitions and 20 demonstrations. Competition and demonstration proposals were subject to a strict reviewing process to ensure the quality of the accepted events. After a selective process, the accepted competitions ...
Added: September 6, 2021
Switzerland : Springer, 2019
Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent complexity within ...
Added: December 29, 2019
Разработка интеллектуального голосового ассистента и исследование обучающей способности алгоритмов распознавания естественного языка
, , et al., Системный администратор 2017 № 12 С. 80-85
The development of cognitive technologies contributes to the effective introduction of Artificial Intelligence into the everyday life of a person. New interfaces for device-human interaction appear. Understanding the natural language of human is one of the most promising areas of the development of Artificial Intelligence. Voice assistants are a striking example of such systems, they ...
Added: December 10, 2017
, Системный администратор 2015 № 10(155) С. 92-95
The article provides a review of modern methods of morphological ambiguity resolution. We considered such methods as statistical disambiguation, Brill’s automatically generated rules, decision trees and their modifications. For the comparison, the article provides numerical results obtained on two open corpora: OpenCorpora and SynTagRus. ...
Added: November 25, 2015