Výsledky vyhledávání - "Adversarially Constrained Autoencoder Interpolation"

Adversarially constrained autoencoder interpolation for prediction of ground motion intensity measures

Autoři: Nicolin, Elia Dempsey, David

Popis souboru: application/pdf

Relation: https://hdl.handle.net/10092/101397

Dostupnost: https://hdl.handle.net/10092/101397

Self-supervised model pro efektivní rozpoznávání zvuku trénovaný na agregovaných datech ; Self-supervised model for efficient sound recognition trained on aggregated data

Autoři: Vojtěch Houska Kovalenko Alexander Kordík Pavel

Přispěvatelé: Vojtěch Houska Kovalenko Alexander Kordík Pavel

Témata: slabě anotovaná data, rozpoznávání zvuku, hluboké učení, autoenkodéry, nevyvážená data, učení bez učitele, k-means, Adversarially Constrained Autoencoder Interpolation, Weakly-labeled data, Sound classification, Deep learning, Autoencoders, Imbalanced data, Self-supervised learning

Popis souboru: application/pdf

Relation: http://hdl.handle.net/10467/95039

Dostupnost: http://hdl.handle.net/10467/95039

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability.

Autoři: Cao, Chengtai Zhou, Fan Dai, Yurou a další

Zdroj: ACM Computing Surveys; Feb2025, Vol. 57 Issue 2, p1-38, 38p

Témata: ARTIFICIAL neural networks, ARTIFICIAL intelligence, PATTERN recognition systems, NATURAL language processing, AUTOMATIC speech recognition, DEEP learning, GRAPH labelings

Convolutional dynamic auto-encoder: a clustering method for semantic images.

Autoři: Mohamed, Zahra Ksantini, Riadh Kaabi, Jihene

Zdroj: Neural Computing & Applications; Oct2022, Vol. 34 Issue 19, p17087-17105, 19p

Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning.

Autoři: Li, Guanyue Wei, Xiwen Wu, Si a další

Zdroj: IEEE MultiMedia; Jul-Sep2022, Vol. 29 Issue 3, p57-68, 12p

Témata: INTERPOLATION spaces, RANDOM variables, DATA distribution, INTERPOLATION

Modeling and Abstraction of Network and Environment States Using Deep Learning.

Autoři: Mwanje, Stephen S. Kajo, Marton Ali-Tolppa, Janne

Zdroj: IEEE Network; Nov/Dec2020, Vol. 34 Issue 6, p8-13, 6p

Témata: DEEP learning, MACHINE learning, AUTOMATION

Machine Learning, Optimization, and Data Science : 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I

Autoři: Giuseppe Nicosia Varun Ojha Emanuele La Malfa a další

Resource Type: eBook.

Témata: Application software

Categories: COMPUTERS / Business & Productivity Software / General