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09/16/2023
Intelligent machines work in unstructured environments by differential neural computing
Expecting intelligent machines to efficiently work in real world require...
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06/25/2023
SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image
The rapid identification and accurate diagnosis of breast cancer, known ...
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03/28/2023
Enhancing Depth Completion with Multi-View Monitored Distillation
This paper presents a novel method for depth completion, which leverages...
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03/03/2023
NCL: Textual Backdoor Defense Using Noise-augmented Contrastive Learning
At present, backdoor attacks attract attention as they do great harm to ...
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11/01/2021
GCNear: A Hybrid Architecture for Efficient GCN Training with Near-Memory Processing
Recently, Graph Convolutional Networks (GCNs) have become state-of-the-a...
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03/24/2021
The Value of Communication and Cooperation in a Two-Server Service System
In 2015, Guglielmi and Badia discussed optimal strategies in a particula...
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08/23/2020
TSAM: Temporal Link Prediction in Directed Networks based on Self-Attention Mechanism
The development of graph neural networks (GCN) makes it possible to lear...
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11/19/2019
Dense Fusion Classmate Network for Land Cover Classification
Recently, FCNs based methods have made great progress in semantic segmen...
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07/10/2019
Neural Input Search for Large Scale Recommendation Models
Recommendation problems with large numbers of discrete items, such as pr...
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02/27/2019
Stereo Visual Inertial LiDAR Simultaneous Localization and Mapping
Simultaneous Localization and Mapping (SLAM) is a fundamental task to mo...
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02/21/2019
Reduced-Rank Local Distance Metric Learning for k-NN Classification
We propose a new method for local distance metric learning based on samp...
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02/16/2019
R^2-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing Images
Recently, convolutional neural network has brought impressive improvemen...
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07/11/2017