Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder

11 March 2015

Papers citing "Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder"

8 / 8 papers shown

Title
Multimodal Deep Learning Cem Akkus Jiquan Ngiam Vladana Djakovic Steffen Jauch-Walser A. Khosla ... Jann Goschenhofer Honglak Lee A. Ng Daniel Schalk Matthias Aßenmacher 59 3,161 0 12 Jan 2023
Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification Igor Barros Barbosa Marco Cristani Barbara Caputo Aleksander Rognhaugen T. Theoharis 69 197 0 11 Jan 2017
Understanding data augmentation for classification: when to warp? S. Wong Adam Gatt V. Stamatescu Mark D Mcdonnell 62 904 0 28 Sep 2016
Transductive Multi-label Zero-shot Learning Yanwei Fu Yongxin Yang Timothy M. Hospedales Tao Xiang S. Gong VLM 35 52 0 26 Mar 2015
Zero-Shot Learning Through Cross-Modal Transfer R. Socher M. Ganjoo Hamsa Sridhar Osbert Bastani Christopher D. Manning A. Ng BDL VLM 106 1,467 0 16 Jan 2013
Marginalized Denoising Autoencoders for Domain Adaptation Minmin Chen Z. Xu Kilian Q. Weinberger Fei Sha 72 818 0 18 Jun 2012
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 265 25,443 0 09 Jun 2011
Feature Hashing for Large Scale Multitask Learning Kilian Q. Weinberger A. Dasgupta Josh Attenberg John Langford Alex Smola 98 1,023 0 12 Feb 2009