Leveraging Adversarial Training to Facilitate Grammatical Error Correction

Leveraging Adversarial Training to Facilitate Grammatical Error Correction

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Artificial Neural Networks (30. : 2021 : Online) Artificial neural networks and machine learning - ICANN 2021 ; Part 1
1. Verfasser: Dang, Kai (VerfasserIn)
Weitere Verfasser: Xie, Jiaying (VerfasserIn), Liu, Jie (VerfasserIn)
Pages:2021
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Statistical Certification of Acceptable Robustness for Neural Networks 2021 Huang, Chengqiang
Entity-Aware Biaffine Attention for Constituent Parsing 2021 Bai, Xinyi
Classification Models for Partially Ordered Sequences 2021 Ger, Stephanie
Multi-object Tracking Based on Nearest Optimal Template Library 2021 Tian, Ran
Bird Audio Diarization with Faster R-CNN 2021 Shrestha, Roman
FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection 2021 Carneiro, Hugo
Multi-modal Chorus Recognition for Improving Song Search 2021 Wang, Jiaan
CNNapsule: A Lightweight Network with Fusion Features for Monocular Depth Estimation 2021 Wang, Yinchu
Training Deep Capsule Networks with Residual Connections 2021 Gugglberger, Josef
A Bio-Inspired Mechanism Based on Neural Threshold Regulation to Compensate Variability in Network Connectivity 2021 López-Hazas, Jessica
Interpretable Visual Understanding with Cognitive Attention Network 2021 Tang, Xuejiao
A Predictive Coding Account for Chaotic Itinerancy 2021 Annnabi, Louis
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons 2021 Pravin, Chandresh
Multiple-Model Based Defense for Deep Reinforcement Learning Against Adversarial Attack 2021 Chan, Patrick P. K.
CmaGraph: A TriBlocks Anomaly Detection Method in Dynamic Graph Using Evolutionary Community Representation Learning 2021 Lin, Weiqin
Falcon: Malware Detection and Categorization with Network Traffic Images 2021 Xu, Peng
An Attention Module for Convolutional Neural Networks 2021 Zhu, Baozhou
Attention-Based 3D Neural Architectures for Predicting Cracks in Designs 2021 Iyer, Naresh
DAEMA: Denoising Autoencoder with Mask Attention 2021 Tihon, Simon
Enhancing Separate Encoding with Multi-layer Feature Alignment for Image-Text Matching 2021 Wen, Keyu
Alle Artikel auflisten