conftrace_

denoising autoencoder

102 papers

Explore in graph

Also known as

DA

Co-occurring keywords

unsupervised learning (3264) representation learning (6206) deep neural network (1803) denoising auto-encoder (12) text generation (2913) neural machine translation (2310) self-supervised learning (3777) speech enhancement (581) transfer learning (5449) language model (4599)

Papers

Unsupervised Natural Language Generation with Denoising Autoencoders EMNLP 2018
Weakly-Supervised Neural Semantic Parsing with a Generative Ranker CONLL 2018
Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes INTERSPEECH 2018
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement EMNLP 2018
Improved Automatic Speech Recognition Using Subband Temporal Envelope Features and Time-Delay Neural Network Denoising Autoencoder INTERSPEECH 2017
Quaternion Denoising Encoder-Decoder for Theme Identification of Telephone Conversations INTERSPEECH 2017
Deep Mean-Shift Priors for Image Restoration NIPS 2017
i-Vector Transformation Using a Novel Discriminative Denoising Autoencoder for Noise-Robust Speaker Recognition INTERSPEECH 2017
A Post-Filtering Approach Based on Locally Linear Embedding Difference Compensation for Speech Enhancement INTERSPEECH 2017
Robust Example Search Using Bottleneck Features for Example-Based Speech Enhancement INTERSPEECH 2016
Joint Optimization of Denoising Autoencoder and DNN Acoustic Model Based on Multi-Target Learning for Noisy Speech Recognition INTERSPEECH 2016
Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders CVPR 2016
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks NIPS 2016
Why Regularized Auto-Encoders learn Sparse Representation? ICML 2016
Deconstructing the Ladder Network Architecture ICML 2016
A Speaker Recognition System for the SITW Challenge INTERSPEECH 2016
Perception Optimized Deep Denoising AutoEncoders for Speech Enhancement INTERSPEECH 2016
Domain Generalization for Object Recognition With Multi-Task Autoencoders ICCV 2015
Deep Generative Stochastic Networks Trainable by Backprop ICML 2014
Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014
Structured Denoising Autoencoder for Fault Detection and Analysis ACML 2014
Generalized Denoising Auto-Encoders as Generative Models NIPS 2013
Adaptive dropout for training deep neural networks NIPS 2013
Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images ICML 2013
Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012