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08/16/2023
Fast Training of NMT Model with Data Sorting
The Transformer model has revolutionized Natural Language Processing tas...
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05/02/2023
Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation
Latent variable modeling in non-autoregressive neural machine translatio...
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02/14/2023
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
Autonomous mobility is emerging as a new mode of urban transportation fo...
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01/19/2023
Advanced Scaling Methods for VNF deployment with Reinforcement Learning
Network function virtualization (NFV) and software-defined network (SDN)...
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01/07/2023
Building a Parallel Corpus and Training Translation Models Between Luganda and English
Neural machine translation (NMT) has achieved great successes with large...
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03/20/2022
Partitioning Image Representation in Contrastive Learning
In contrastive learning in the image domain, the anchor and positive sam...
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02/17/2022
End-to-End Training of Both Translation Models in the Back-Translation Framework
Semi-supervised learning algorithms in neural machine translation (NMT) ...
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10/29/2021
Systematic Review for AI-based Language Learning Tools
The Second Language Acquisition field has been significantly impacted by...
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09/29/2021
Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains
Software-defined networking (SDN) and network function virtualization (N...
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09/19/2021
Adversarial Training with Contrastive Learning in NLP
For years, adversarial training has been extensively studied in natural ...
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05/25/2021
Deep Neural Networks and End-to-End Learning for Audio Compression
Recent achievements in end-to-end deep learning have encouraged the expl...
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11/17/2020
Reinforcement Learning of Graph Neural Networks for Service Function Chaining
In the management of computer network systems, the service function chai...
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09/11/2020
Graph Neural Network based Service Function Chaining for Automatic Network Control
Software-defined networking (SDN) and the network function virtualizatio...
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12/01/2019
Active Search for Nearest Neighbors
In pattern recognition or machine learning, it is a very fundamental tas...
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11/26/2019
Network Intrusion Detection based on LSTM and Feature Embedding
Growing number of network devices and services have led to increasing de...
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08/02/2019
Self-Knowledge Distillation in Natural Language Processing
Since deep learning became a key player in natural language processing (...
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11/08/2018
Disentangling Latent Factors with Whitening
After the success of deep generative models in image generation tasks, l...
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11/08/2018
Alpha-Pooling for Convolutional Neural Networks
Convolutional neural networks (CNNs) have achieved remarkable performanc...
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06/26/2018
Gradient Acceleration in Activation Functions
Dropout has been one of standard approaches to train deep neural network...
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06/22/2018
Persistent Hidden States and Nonlinear Transformation for Long Short-Term Memory
Recurrent neural networks (RNNs) have been drawing much attention with g...
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03/30/2018
Fine-Grained Attention Mechanism for Neural Machine Translation
Neural machine translation (NMT) has been a new paradigm in machine tran...
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08/01/2016
A Neural Knowledge Language Model
Current language models have a significant limitation in the ability to ...
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07/03/2016
