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Architectures

27,448 papers (33 classified directly here)

Subtopics

Neural Networks (11,723) Transformers (10,397) Graph Neural Networks (4,522) Autoencoders (1,154) Convolutional Neural Networks (973) Recurrent Neural Networks (593) Generative Adversarial Networks (18) Encoder-Decoder (14)

Papers per year

27
213
2915
3174
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Papers (including subtopics)

Unsupervised Acoustic Unit Representation Learning for Voice Conversion Using WaveNet Auto-Encoders INTERSPEECH 2020
Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery INTERSPEECH 2020
Glottal Closure Instants Detection from EGG Signal by Classification Approach INTERSPEECH 2020
Hybrid Network Feature Extraction for Depression Assessment from Speech INTERSPEECH 2020
Weak-Attention Suppression for Transformer Based Speech Recognition INTERSPEECH 2020
Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition INTERSPEECH 2020
Transformer-Based Long-Context End-to-End Speech Recognition INTERSPEECH 2020
Self-and-Mixed Attention Decoder with Deep Acoustic Structure for Transformer-Based LVCSR INTERSPEECH 2020
Universal Speech Transformer INTERSPEECH 2020
Spike-Triggered Non-Autoregressive Transformer for End-to-End Speech Recognition INTERSPEECH 2020
Cross Attention with Monotonic Alignment for Speech Transformer INTERSPEECH 2020
Conformer: Convolution-augmented Transformer for Speech Recognition INTERSPEECH 2020
Exploring Transformers for Large-Scale Speech Recognition INTERSPEECH 2020
Online Blind Reverberation Time Estimation Using CRNNs INTERSPEECH 2020
U-Net Based Direct-Path Dominance Test for Robust Direction-of-Arrival Estimation INTERSPEECH 2020
Target Propagation in Recurrent Neural Networks JMLR 2020
Branch and Bound for Piecewise Linear Neural Network Verification JMLR 2020
Dynamical Systems as Temporal Feature Spaces JMLR 2020
Kymatio: Scattering Transforms in Python JMLR 2020
Representation Learning for Dynamic Graphs: A Survey JMLR 2020
Harmless Overfitting: Using Denoising Autoencoders in Estimation of Distribution Algorithms JMLR 2020
Probabilistic Symmetries and Invariant Neural Networks JMLR 2020
Probabilistic Learning on Graphs via Contextual Architectures JMLR 2020
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks JMLR 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer JMLR 2020