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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)

Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes INTERSPEECH 2018
Knowledge Distillation for Sequence Model INTERSPEECH 2018
Improving CTC-based Acoustic Model with Very Deep Residual Time-delay Neural Networks INTERSPEECH 2018
Filter Sampling and Combination CNN (FSC-CNN): A Compact CNN Model for Small-footprint ASR Acoustic Modeling Using Raw Waveforms INTERSPEECH 2018
Twin Regularization for Online Speech Recognition INTERSPEECH 2018
Self-Attentional Acoustic Models INTERSPEECH 2018
Hierarchical Recurrent Neural Networks for Acoustic Modeling INTERSPEECH 2018
Leveraging Second-Order Log-Linear Model for Improved Deep Learning Based ASR Performance INTERSPEECH 2018
Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks INTERSPEECH 2018
Phone Recognition Using a Non-Linear Manifold with Broad Phone Class Dependent DNNs INTERSPEECH 2018
Interactions between Vowels and Nasal Codas in Mandarin Speakers’ Perception of Nasal Finals INTERSPEECH 2018
Visual Timing Information in Audiovisual Speech Perception: Evidence from Lexical Tone Contour INTERSPEECH 2018
Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018
Deep Learning the Ising Model Near Criticality JMLR 2018
Maximum Principle Based Algorithms for Deep Learning JMLR 2018
Gradient Hard Thresholding Pursuit JMLR 2018
Local Identifiability of $\ell_1$-minimization Dictionary Learning: a Sufficient and Almost Necessary Condition JMLR 2018
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks JMLR 2018
Surprising properties of dropout in deep networks JMLR 2018
Weighted SGD for $\ell_p$ Regression with Randomized Preconditioning JMLR 2018
RSG: Beating Subgradient Method without Smoothness and Strong Convexity JMLR 2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations JMLR 2018
Distribution-Specific Hardness of Learning Neural Networks JMLR 2018
Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models JMLR 2018
Covariances, Robustness, and Variational Bayes JMLR 2018