Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data

31 January 2018

Papers citing "Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data"

17 / 17 papers shown

Title
Using Part-based Representations for Explainable Deep Reinforcement Learning Manos Kirtas Konstantinos Tsampazis Loukia Avramelou Nikolaos Passalis Anastasios Tefas 33 0 0 21 Aug 2024
Non-negative isomorphic neural networks for photonic neuromorphic accelerators Manos Kirtas Nikolaos Passalis N. Pleros Anastasios Tefas 23 0 0 02 Oct 2023
Multiplicative update rules for accelerating deep learning training and increasing robustness Manos Kirtas Nikolaos Passalis Anastasios Tefas AAML OOD 36 2 0 14 Jul 2023
Fixed Points of Cone Mapping with the Application to Neural Networks G. Gabor Krzysztof Rykaczewski 15 0 0 20 Jul 2022
Modeling Content Creator Incentives on Algorithm-Curated Platforms Jiri Hron K. Krauth Michael I. Jordan Niki Kilbertus Sarah Dean 33 38 0 27 Jun 2022
Fixed points of nonnegative neural networks Tomasz Piotrowski Renato L. G. Cavalcante Mateusz Gabor 52 7 0 30 Jun 2021
The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks Karim Huesmann Luis Garcia Rodriguez Lars Linsen Benjamin Risse 24 3 0 13 Apr 2021
Neural Text Classification by Jointly Learning to Cluster and Align Yekun Chai Haidong Zhang Shuo Jin 23 2 0 24 Nov 2020
Learning a Deep Part-based Representation by Preserving Data Distribution Anyong Qin Zhaowei Shang Zhuolin Tan Taiping Zhang Yuanyan Tang OOD 8 0 0 17 Sep 2020
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters Zhi Huang P. Salama Wei Shao Jie Zhang Kun Huang 13 1 0 09 Aug 2020
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization Karim Huesmann Soeren Klemm Lars Linsen Benjamin Risse 13 2 0 21 Feb 2020
Part-based approximations for morphological operators using asymmetric auto-encoders Bastien Ponchon Santiago Velasco-Forero S. Blusseau Jesús Angulo Isabelle Bloch 9 2 0 20 Mar 2019
Knowledge Adaptation for Efficient Semantic Segmentation Tong He Chunhua Shen Zhi Tian Dong Gong Changming Sun Youliang Yan SSeg 8 225 0 12 Mar 2019
On Correlation of Features Extracted by Deep Neural Networks B. Ayinde T. Inanc J. Zurada 21 25 0 30 Jan 2019
Diversity Regularized Adversarial Learning B. Ayinde Keishin Nishihama J. Zurada GAN 14 1 0 30 Jan 2019
PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks Ping Guo Ke Wang Xiuling Zhou 28 18 0 05 Nov 2018
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012