Compression ensembles quantify aesthetic complexity and the evolution of visual art

20 May 2022

Papers citing "Compression ensembles quantify aesthetic complexity and the evolution of visual art"

8 / 8 papers shown

Title
Complexity and Aesthetics in Generative and Evolutionary Art Jon McCormack Camilo Cruz Gambardella 34 9 0 05 Jan 2022
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings Athanasios Efthymiou Stevan Rudinac Monika Kackovic Marcel Worring Nachoem Wijnberg 68 11 0 17 May 2021
Automated Concatenation of Embeddings for Structured Prediction Xinyu Wang Yong Jiang Nguyen Bach Tao Wang Zhongqiang Huang Fei Huang Kewei Tu 69 177 0 10 Oct 2020
The Shape of Art History in the Eyes of the Machine Ahmed Elgammal Marian Mazzone Bingchen Liu Diana Kim Mohamed Elhoseiny GAN 47 107 0 23 Jan 2018
The emotional arcs of stories are dominated by six basic shapes A. J. Reagan Lewis Mitchell Dilan Kiley C. Danforth P. Dodds 44 366 0 24 Jun 2016
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning Ekaterina Vylomova Laura Rimell Trevor Cohn Timothy Baldwin 62 150 0 05 Sep 2015
Neural Machine Translation of Rare Words with Subword Units Rico Sennrich Barry Haddow Alexandra Birch 224 7,755 0 31 Aug 2015
Popular Ensemble Methods: An Empirical Study R. Maclin D. Opitz 196 2,972 0 01 Jun 2011