Feature Representation in Convolutional Neural Networks

8 July 2015

Papers citing "Feature Representation in Convolutional Neural Networks"

9 / 9 papers shown

Title
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 41 78 0 25 Jan 2024
Deep Learning and Computer Vision Techniques for Microcirculation Analysis: A Review Maged Abdalla Helmy Abdou T. Truong E. Jul Paulo Ferreira 29 8 0 11 May 2022
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction Hong Wen Jing Zhang Fuyu Lv Wentian Bao Tianyi Wang Zulong Chen 24 39 0 20 Apr 2021
Deep Features for training Support Vector Machine L. Nanni E. Luca Marco Ludovico Facin VLM 31 28 0 08 Apr 2021
DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning Yail Bian John E. Wenskovitch Chris North 10 11 0 31 Jul 2020
O2A: One-shot Observational learning with Action vectors Leo Pauly Wisdom C. Agboh David C. Hogg R. Fuentes 57 9 0 17 Oct 2018
Speaker Clustering With Neural Networks And Audio Processing Maxime Jumelle Taqiyeddine Sakmeche 9 5 0 22 Mar 2018
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation Xiangrui Zeng M. R. Leung T. Zeev-Ben-Mordehai Min Xu 22 46 0 15 Jun 2017
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,640 0 03 Jul 2012