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Autoencoders

1,154 papers

Papers per year

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11
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Papers

Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World IJCAI 2017
Improved Deep Embedded Clustering with Local Structure Preservation IJCAI 2017
Google’s Next-Generation Real-Time Unit-Selection Synthesizer Using Sequence-to-Sequence LSTM-Based Autoencoders INTERSPEECH 2017
Learning Latent Representations for Speech Generation and Transformation INTERSPEECH 2017
Siamese Autoencoders for Speech Style Extraction and Switching Applied to Voice Identification and Conversion INTERSPEECH 2017
Deep Autoencoder Based Speech Features for Improved Dysarthric Speech Recognition INTERSPEECH 2017
Quaternion Denoising Encoder-Decoder for Theme Identification of Telephone Conversations INTERSPEECH 2017
Voice Conversion from Unaligned Corpora Using Variational Autoencoding Wasserstein Generative Adversarial Networks INTERSPEECH 2017
Discriminative Autoencoders for Acoustic Modeling INTERSPEECH 2017
i-Vector Transformation Using a Novel Discriminative Denoising Autoencoder for Noise-Robust Speaker Recognition INTERSPEECH 2017
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks NIPS 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks NIPS 2016
An Architecture for Deep, Hierarchical Generative Models NIPS 2016
Ladder Variational Autoencoders NIPS 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions NIPS 2016
Disentangling factors of variation in deep representation using adversarial training NIPS 2016
Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences COLING 2016
Learning Temporal Regularity in Video Sequences CVPR 2016
Context Encoders: Feature Learning by Inpainting CVPR 2016
Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders CVPR 2016
Why Regularized Auto-Encoders learn Sparse Representation? ICML 2016
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification ICML 2016
DBN-ivector Framework for Acoustic Emotion Recognition INTERSPEECH 2016
Deep Stacked Autoencoders for Spoken Language Understanding INTERSPEECH 2016
Novel Front-End Features Based on Neural Graph Embeddings for DNN-HMM and LSTM-CTC Acoustic Modeling INTERSPEECH 2016