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Techniques

8,241 papers (36 classified directly here)

Subtopics

Model Architecture (4,354) Pretraining (2,483) Attention (1,111) Normalization (341) Attention Mechanism (150)

Papers per year

4
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Papers (including subtopics)

Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition INTERSPEECH 2017
Recognizing Multi-Talker Speech with Permutation Invariant Training INTERSPEECH 2017
Structured-Based Curriculum Learning for End-to-End English-Japanese Speech Translation INTERSPEECH 2017
Tight Integration of Spatial and Spectral Features for BSS with Deep Clustering Embeddings INTERSPEECH 2017
Tied Hidden Factors in Neural Networks for End-to-End Speaker Recognition INTERSPEECH 2017
A Transfer Learning Based Feature Extractor for Polyphonic Sound Event Detection Using Connectionist Temporal Classification INTERSPEECH 2017
Attention Networks for Modeling Behaviors in Addiction Counseling INTERSPEECH 2017
The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring INTERSPEECH 2017
End-to-End Deep Learning Framework for Speech Paralinguistics Detection Based on Perception Aware Spectrum INTERSPEECH 2017
Annealed f-Smoothing as a Mechanism to Speed up Neural Network Training INTERSPEECH 2017
Improving Mask Learning Based Speech Enhancement System with Restoration Layers and Residual Connection INTERSPEECH 2017
Convolutional Neural Fabrics NIPS 2016
Optimal Architectures in a Solvable Model of Deep Networks NIPS 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism NIPS 2016
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016
Learning Structured Sparsity in Deep Neural Networks NIPS 2016
Learning the Number of Neurons in Deep Networks NIPS 2016
Improved Dropout for Shallow and Deep Learning NIPS 2016
SoundNet: Learning Sound Representations from Unlabeled Video NIPS 2016
Deep Submodular Functions: Definitions and Learning NIPS 2016
FPNN: Field Probing Neural Networks for 3D Data NIPS 2016
Multimodal Residual Learning for Visual QA NIPS 2016
Hierarchical Question-Image Co-Attention for Visual Question Answering NIPS 2016
Using Fast Weights to Attend to the Recent Past NIPS 2016
Learning Sensor Multiplexing Design through Back-propagation NIPS 2016