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09/18/2023
Learning to Generate Lumped Hydrological Models
In a lumped hydrological model structure, the hydrological function of a...
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07/30/2023
An Effective LSTM-DDPM Scheme for Energy Theft Detection and Forecasting in Smart Grid
Energy theft detection (ETD) and energy consumption forecasting (ECF) ar...
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06/15/2023
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds
Network embedding, a graph representation learning method illustrating n...
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06/08/2023
COURIER: Contrastive User Intention Reconstruction for Large-Scale Pre-Train of Image Features
With the development of the multi-media internet, visual characteristics...
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06/03/2023
A Novel Deep Knowledge-based Learning Method for Wind Speed Forecast
The increasing installation rate of wind power poses great challenges to...
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05/31/2023
Cross-Domain Car Detection Model with Integrated Convolutional Block Attention Mechanism
Car detection, particularly through camera vision, has become a major fo...
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05/30/2023
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics
Aiding humans with scientific designs is one of the most exciting of art...
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05/25/2023
Deep Neural Networks in Video Human Action Recognition: A Review
Currently, video behavior recognition is one of the most foundational ta...
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05/20/2023
Lifting the Curse of Capacity Gap in Distilling Language Models
Pretrained language models (LMs) have shown compelling performance on va...
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03/20/2023
Learning Behavior Recognition in Smart Classroom with Multiple Students Based on YOLOv5
Deep learning-based computer vision technology has grown stronger in rec...
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11/30/2022
X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection
Detecting sarcasm and verbal irony from people's subjective statements i...
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10/28/2022
Local-global speaker representation for target speaker extraction
Target speaker extraction is to extract the target speaker's voice from ...
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09/30/2022
Prompt Tuning for Graph Neural Networks
In recent years, prompt tuning has set off a research boom in the adapta...
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08/16/2022
Rain Removal from Light Field Images with 4D Convolution and Multi-scale Gaussian Process
Existing deraining methods mainly focus on a single input image. With ju...
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08/12/2022
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer
In recent years, there has been tremendous progress in the field of sema...
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07/18/2022
MobileCodec: Neural Inter-frame Video Compression on Mobile Devices
Realizing the potential of neural video codecs on mobile devices is a bi...
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04/21/2022
DropMessage: Unifying Random Dropping for Graph Neural Networks
Graph Neural Networks (GNNs) are powerful tools for graph representation...
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08/27/2021
Rethinking the Aligned and Misaligned Features in One-stage Object Detection
One-stage object detectors rely on the point feature to predict the dete...
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05/21/2021
New Construction of Z-Complementary Code Sets and Mutually Orthogonal Complementary Sequence Sets
Due to the zero nontrivial aperiodic correlation of complete complementa...
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05/24/2020
Privacy-preserving Medical Treatment System through Nondeterministic Finite Automata
In this paper, we propose a privacy-preserving medical treatment system ...
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05/10/2019
Modeling Combinatorial Evolution in Time Series Prediction
Time series modeling aims to capture the intrinsic factors underpinning ...
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06/17/2018
StegNet: Mega Image Steganography Capacity with Deep Convolutional Network
Traditional image steganography often leans interests towards safely emb...
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11/07/2016
