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Deep Learning

66,648 papers (25 classified directly here)

Subtopics

Learning Types (28,663) Architectures (27,448) Models (16,617) Techniques (8,241) Optimization & Theory (6,829) Application Areas (46)

Papers per year

2
65
428
6150
10854
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Papers (including subtopics)

Data Augmentation Using Multi-Input Multi-Output Source Separation for Deep Neural Network Based Acoustic Modeling INTERSPEECH 2016
Microphone Distance Adaptation Using Cluster Adaptive Training for Robust Far Field Speech Recognition INTERSPEECH 2016
An Investigation on the Use of i-Vectors for Robust ASR INTERSPEECH 2016
Recurrent Models for Auditory Attention in Multi-Microphone Distant Speech Recognition INTERSPEECH 2016
Semi-Supervised Speaker Adaptation for In-Vehicle Speech Recognition with Deep Neural Networks INTERSPEECH 2016
Semi-Supervised Training in Deep Learning Acoustic Model INTERSPEECH 2016
Multilingual Data Selection for Low Resource Speech Recognition INTERSPEECH 2016
Knowledge Matters: Importance of Prior Information for Optimization JMLR 2016
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks JMLR 2016
BayesPy: Variational Bayesian Inference in Python JMLR 2016
Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes JMLR 2016
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches JMLR 2016
Cells in Multidimensional Recurrent Neural Networks JMLR 2016
How to Center Deep Boltzmann Machines JMLR 2016
The LRP Toolbox for Artificial Neural Networks JMLR 2016
A Network That Learns Strassen Multiplication JMLR 2016
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels JMLR 2016
Variational Dependent Multi-output Gaussian Process Dynamical Systems JMLR 2016
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning JMLR 2016
Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine JMLR 2016
Augmentable Gamma Belief Networks JMLR 2016
Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach JMLR 2016
Online PCA with Optimal Regret JMLR 2016
Neural Autoregressive Distribution Estimation JMLR 2016
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition JMLR 2016