11 papers:
ICML-2015-GermainGML #estimation #named- MADE: Masked Autoencoder for Distribution Estimation (MG, KG, IM, HL), pp. 881–889.
MLDM-2015-CostaFK #multi #using- Classifying Grasslands and Cultivated Pastures in the Brazilian Cerrado Using Support Vector Machines, Multilayer Perceptrons and Autoencoders (WC, LMGF, TSK), pp. 187–198.
ICPR-2014-RazakarivonyJ #detection- Discriminative Autoencoders for Small Targets Detection (SR, FJ), pp. 3528–3533.
- ICPR-2014-WangCW #recognition
- Recognition of Handwritten Characters in Chinese Legal Amounts by Stacked Autoencoders (MW, YC, XW), pp. 3002–3007.
SIGIR-2014-Gupta #modelling- Modelling of terms across scripts through autoencoders (PG), p. 1279.
- ICML-c2-2013-AlainO
- Gated Autoencoders with Tied Input Weights (AD, OS), pp. 154–162.
- ICML-c3-2013-Cho #image
- Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images (KC), pp. 432–440.
- ICML-c3-2013-KamyshanskaM #on the
- On autoencoder scoring (HK, RM), pp. 720–728.
- ICML-2012-ChenXWS #adaptation
- Marginalized Denoising Autoencoders for Domain Adaptation (MC, ZEX, KQW, FS), p. 212.
- ICML-2011-SwerskyRBMF #energy #modelling #on the
- On Autoencoders and Score Matching for Energy Based Models (KS, MR, DB, BMM, NdF), pp. 1201–1208.
- ICML-2008-VincentLBM #robust
- Extracting and composing robust features with denoising autoencoders (PV, HL, YB, PAM), pp. 1096–1103.
