Unsupervised learning and continual learning in neural networks

Unsupervised learning and continual learning in neural networks

<p>For decades research has pursued the ambitious goal of designing computer models that learn to solve problems as effectively as humans can. Artificial neural networks -- generic, optimizable models that were originally inspired by biological neurons in the brain -- appear to provide a promi...

Bibliografiset tiedot
Päätekijä:	Ji, X
Muut tekijät:	Vedaldi, A
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	2021
Aiheet:	Artificial intelligence Neural networks (Computer science) Computer vision

Samankaltaisia teoksia

Unsupervised learning procedures for neural networks /
Tekijä: 214129 Becker, Susan

Unsupervised point cloud representation learning with deep neural networks: a survey
Tekijä: Xiao, Aoran, et al.
Julkaistu: (2023)

Artificial neural networks /
Tekijä: International Conference on Artificial Neural Networks (2nd : 1991 : Bournemouth International Centre, UK), et al.
Julkaistu: (1991)

Neural network design and the complexity of learning /
Tekijä: 445119 Judd, J. Stephen
Julkaistu: (1990)

Artificial neural network - ICANN 97 /
Tekijä: International Conference of Artificial neural Networks (7th : 1997 : Lausanne, Switzerland), et al.
Julkaistu: (1997)

Recent Advances in Artificial Neural Networks /
Tekijä: Stencl, Michael, contributor, et al.
Julkaistu: (2017)

Process identification using artificial neural network /
Tekijä: Arshad Ahmad, 1963-, et al.

Application of artificial neural network in two dimensional warranty modelling /
Tekijä: Ang, Jun Chin, 1986-, et al.
Julkaistu: (2011)

A study of backpropagation and particle swarm optimization learning methods for artificial neural network training /
Tekijä: Mohd. Shukri Mohd. Ghazali, 1987-, et al.
Julkaistu: (2010)

Hybrid committee artificial neural networks for classification of banana maturity level /
Tekijä: 307983 Elia Erwani Hassan
Julkaistu: (2006)

A study of backpropagation and particle swarm optimization learning methods for artificial neural network training [electronic resource] /
Tekijä: Mohd. Shukri Mohd. Ghazali, 1987-
Julkaistu: (2010)

Hybrid committee artificial neural networks for classification of banana maturity level [electronic resource] /
Tekijä: 307983 Elia Erwani Hassan
Julkaistu: (2006)

Non-probabilistic artificial neural network incorporating uncertainties in vibration based damage detection /
Tekijä: Khairul Hazman Padil, 1990-, et al.
Julkaistu: (2015)

Regional Multi-Scale Approach for Visually Pleasing Explanations of Deep Neural Networks
Tekijä: Dasom Seo, et al.
Julkaistu: (2020-01-01)

Unsupervised learning of clutter-resistant visual representations from natural videos
Tekijä: Liao, Qianli, et al.
Julkaistu: (2015)

International Neural Network Conference, July 9-13, 1990, Palais Des Congres, Paris, France /
Tekijä: International Neural Network Conference (1990 : Paris, France), et al.
Julkaistu: (1990)

Non-probabilistic artificial neural network incorporating uncertainties in vibration based damage detection [electronic resource] /
Tekijä: Khairul Hazman Padil, 1990-, et al.
Julkaistu: (2015)

Intelligent engineering systems through artificial neural networks : computational intelligence in architecting engineering systems : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2008) : held November 9-12, 2008, in St. Louis, Missouri, U.S.A. /
Tekijä: Artificial Neural Networks in Engineering Conference (18th : 2008 : St. Louis, Missouri), et al.
Julkaistu: (2008)

Neural network learning and expert systems /
Tekijä: 445146 Gallant, Stephen I.
Julkaistu: (1994)

Attack on prediction confidence of deep learning neural networks
Tekijä: Ng, Garyl Xuan
Julkaistu: (2022)

Smart engineering system design : neural networks, fuzzy logic, evolutionary programming, data mining and complex systems : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2000), held November 7-10, 2004, in St. Louis, Missouri, U.S.A. /
Tekijä: Artificial Neural Networks in Engineering Conference (2004 : St. Louis, Missouri), et al.
Julkaistu: (2004)

Error-correcting output codes with ensemble diversity for robust learning in neural networks
Tekijä: Song, Yang, et al.
Julkaistu: (2021)

Object classification using deep learning /
Tekijä: Fong, Soon Fei, 1989-, author, et al.
Julkaistu: (2015)

Artificial Neural Networks - ICANN 2007 [electronic resource] : 17th International Conference, Porto, Portugal, September 9-13, 2007: Proceedings, Part I /
Tekijä: International Conference on Artificial Neural Networks (European Neural Network Society) (17th : 2007 : Porto, Portugal), et al.
Julkaistu: (2007)

Artificial Neural Networks - ICANN 2007 [electronic resource] : 17th International Conference, Porto, Portugal, September 9-13, 2007: Proceedings, Part II /
Tekijä: International Conference on Artificial Neural Networks (European Neural Network Society) (17th : 2007 : Porto, Portugal), et al.
Julkaistu: (2007)

Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm
Tekijä: Fakharudin, Abdul Sahli
Julkaistu: (2017)

Object classification using deep learning [electronic resource] /
Tekijä: Fong, Soon Fei, 1989-, author
Julkaistu: (2015)

Weed Density and Distribution Estimation for Precision Agriculture Using Semi-Supervised Learning
Tekijä: Shantam Shorewala, et al.
Julkaistu: (2021-01-01)

Neural Network Preference Learning Approaches For Improving Agent-Based Meeting Scheduling Problems
Tekijä: Tang, En Lai
Julkaistu: (2007)

Review and analysis of deep neural network models for Alzheimer's disease classification using brain medical resonance imaging
Tekijä: Shruti Pallawi, et al.
Julkaistu: (2023-03-01)

Understanding convolutional neural networks
Tekijä: Fong, R
Julkaistu: (2020)

Artificial intelligence and neural networks : 14th Turkish symposium, TAINN 2005, Izmir, Turkey, June 16-17, 2005 : revised selected papers /
Tekijä: The Turkish Artificial Intelligence and Neural Network Symposium (14th : 2005 : Izmir, Turkey), et al.
Julkaistu: (2006)

Celiac Disease Deep Learning Image Classification Using Convolutional Neural Networks
Tekijä: Joaquim Carreras
Julkaistu: (2024-08-01)

Disrupted visual input unveils the computational details of artificial neural networks for face perception
Tekijä: Yi-Fan Li, et al.
Julkaistu: (2022-11-01)

Subspace learning of neural networks /
Tekijä: 515577 Lv, Jian Cheng, et al.
Julkaistu: (c201)

Federated learning for graph neural networks
Tekijä: Yan, Yige
Julkaistu: (2023)

Adaptive memory networks with self-supervised learning for unsupervised anomaly detection
Tekijä: Zhang, Yuxin, et al.
Julkaistu: (2024)

Three-term back propagation neural network for moisture prediction /
Tekijä: Said Jadid Abdulkadir, 1986-, et al.
Julkaistu: (2012)

Trends in neural computation /
Tekijä: Chen, Ke, et al.
Julkaistu: (2007)

Matching sensor ontologies with unsupervised neural network with competitive learning
Tekijä: Xingsi Xue, et al.
Julkaistu: (2021-11-01)