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Deep Learning

1397 directly classified papers

Papers per year

Papers

Leveraging Discourse Information Effectively for Authorship Attribution IJCNLP 2017
Summarizing Lengthy Questions IJCNLP 2017
Extraction of Gene-Environment Interaction from the Biomedical Literature IJCNLP 2017
Revisiting the Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis IJCNLP 2017
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets AISTATS 2017
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix ACL 2017
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization ACL 2017
Learning to Parse and Translate Improves Neural Machine Translation ACL 2017
Differentiable Scheduled Sampling for Credit Assignment ACL 2017
A Deep Network with Visual Text Composition Behavior ACL 2017
Neural System Combination for Machine Translation ACL 2017
Demographic Inference on Twitter using Recursive Neural Networks ACL 2017
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network IJCAI 2017
Limits of End-to-End Learning ACML 2017
Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications ACML 2017
Learning RBM with a DC programming Approach ACML 2017
Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese ACML 2017
Gate Activation Signal Analysis for Gated Recurrent Neural Networks and its Correlation with Phoneme Boundaries INTERSPEECH 2017
i-Vector Transformation Using a Novel Discriminative Denoising Autoencoder for Noise-Robust Speaker Recognition INTERSPEECH 2017
DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface INTERSPEECH 2017
Optimized Time Series Filters for Detecting Laughter and Filler Events INTERSPEECH 2017
Prosodic Event Recognition Using Convolutional Neural Networks with Context Information INTERSPEECH 2017
“Did you laugh enough today?” — Deep Neural Networks for Mobile and Wearable Laughter Trackers INTERSPEECH 2017
A Maximum Likelihood Approach to Deep Neural Network Based Nonlinear Spectral Mapping for Single-Channel Speech Separation INTERSPEECH 2017
Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks INTERSPEECH 2017