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Methods/Highway Network

Highway Network

GeneralIntroduced 200091 papers

Description

A Highway Network is an architecture designed to ease gradient-based training of very deep networks. They allow unimpeded information flow across several layers on "information highways". The architecture is characterized by the use of gating units which learn to regulate the flow of information through a network. Highway networks with hundreds of layers can be trained directly using stochastic gradient descent and with a variety of activation functions.

Papers Using This Method

Coordinated Ramp Metering Control based on Scalable Nonlinear Traffic Dynamics Model Discovery in a Large Network2025-03-09 Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speech2024-10-29 Enhancing Kurdish Text-to-Speech with Native Corpus Training: A High-Quality WaveGlow Vocoder Approach2024-09-10 Training Universal Vocoders with Feature Smoothing-Based Augmentation Methods for High-Quality TTS Systems2024-09-04 Highway Networks for Improved Surface Reconstruction: The Role of Residuals and Weight Updates2024-07-11 Stable Weight Updating: A Key to Reliable PDE Solutions Using Deep Learning2024-07-10 Modeling of spatially embedded networks via regional spatial graph convolutional networks2024-06-20 Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction2024-06-18 Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach2024-06-18 Leveraging the Interplay Between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation2024-04-03 A Data-Driven Integrated Framework for Fast-Charging Facility Planning using Multi-Period Bi-Objective Optimization2023-11-21 Reinforcement Learning with Model Predictive Control for Highway Ramp Metering2023-11-15 Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data?2023-10-31 Power-Enhanced Residual Network for Function Approximation and Physics-Informed Inverse Problems2023-10-24 An overview of text-to-speech systems and media applications2023-10-22 Energy-Based Models For Speech Synthesis2023-10-19 Facilitating Battery Swapping Services for Freight Trucks with Spatial-Temporal Demand Prediction2023-10-01 The DeepZen Speech Synthesis System for Blizzard Challenge 20232023-08-30 Machine learning for option pricing: an empirical investigation of network architectures2023-07-14 Multilingual Text-to-Speech Synthesis for Turkic Languages Using Transliteration2023-05-25