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09/12/2023
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning
Graph anomaly detection (GAD) has attracted increasing attention in mach...
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08/31/2023
Efficient Multi-View Graph Clustering with Local and Global Structure Preservation
Anchor-based multi-view graph clustering (AMVGC) has received abundant a...
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07/12/2023
PolyLM: An Open Source Polyglot Large Language Model
Large language models (LLMs) demonstrate remarkable ability to comprehen...
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04/29/2023
A spectral method for a Fokker-Planck equation in neuroscience with applications in neural networks with learning rules
In this work, we consider the Fokker-Planck equation of the Nonlinear No...
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12/01/2022
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
Graph anomaly detection (GAD) is a vital task in graph-based machine lea...
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11/25/2022
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?
Neural machine translation (NMT) is often criticized for failures that h...
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07/22/2022
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules
Graph Convolutional Neural Network (GCNN) is a popular class of deep lea...
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02/04/2022
Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems
We introduce a multi-tasking graph convolutional neural network, HydraGN...
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10/15/2021
Federated Route Leak Detection in Inter-domain Routing with Privacy Guarantee
In the inter-domain network, a route leak occurs when a routing announce...
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09/10/2021
Security analysis method for practical quantum key distribution with arbitrary encoding schemes
Quantum key distribution (QKD) gradually has become a crucial element of...
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08/05/2021
PI3NN: Prediction intervals from three independently trained neural networks
We propose a novel prediction interval method to learn prediction mean v...
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06/05/2021
GearV: A Two-Gear Hypervisor for Mixed-Criticality IoT Systems
This paper presents GearV, a two-gear lightweight hypervisor architectur...
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05/01/2021
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment
Multi-view clustering (MVC) has been extensively studied to collect mult...
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05/01/2021
Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement
Multi-view clustering is an important yet challenging task in machine le...
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09/19/2020
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation
Many document-level neural machine translation (NMT) systems have explor...
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09/11/2020
Extending Label Smoothing Regularization with Self-Knowledge Distillation
Inspired by the strong correlation between the Label Smoothing Regulariz...
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04/06/2020
LaNet: Real-time Lane Identification by Learning Road SurfaceCharacteristics from Accelerometer Data
The resolution of GPS measurements, especially in urban areas, is insuff...
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03/30/2020
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation
Document-level machine translation incorporates inter-sentential depende...
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12/27/2019
Visual Agreement Regularized Training for Multi-Modal Machine Translation
Multi-modal machine translation aims at translating the source sentence ...
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08/28/2019
O-MedAL: Online Active Deep Learning for Medical Image Analysis
Active Learning methods create an optimized and labeled training set fro...
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06/13/2019
Lattice Transformer for Speech Translation
Recent advances in sequence modeling have highlighted the strengths of t...
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07/24/2018
