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09/01/2023
Fine-grained Recognition with Learnable Semantic Data Augmentation
Fine-grained image recognition is a longstanding computer vision challen...
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08/22/2023
SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation
In recent years, vision transformers have been introduced into face reco...
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06/20/2023
Dynamic Perceiver for Efficient Visual Recognition
Early exiting has become a promising approach to improving the inference...
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06/12/2023
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting
Long-term time series forecasting plays an important role in various rea...
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05/22/2023
Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education
Understanding user perspectives on Artificial Intelligence (AI) in educa...
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05/22/2023
Envisioning an Inclusive Metaverse: Student Perspectives on Accessible and Empowering Metaverse-Enabled Learning
The emergence of the metaverse is being widely viewed as a revolutionary...
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03/09/2023
ESCL: Equivariant Self-Contrastive Learning for Sentence Representations
Previous contrastive learning methods for sentence representations often...
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02/28/2023
Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction
Cellular traffic prediction is an indispensable part for intelligent tel...
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02/11/2023
Your Favorite Gameplay Speaks Volumes about You: Predicting User Behavior and Hexad Type
In recent years, the gamification research community has widely and freq...
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01/26/2023
Federated Learning over Coupled Graphs
Graphs are widely used to represent the relations among entities. When o...
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09/17/2022
Learning to Weight Samples for Dynamic Early-exiting Networks
Early exiting is an effective paradigm for improving the inference effic...
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06/26/2022
Meta Auxiliary Learning for Low-resource Spoken Language Understanding
Spoken language understanding (SLU) treats automatic speech recognition ...
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04/19/2022
Network Topology Optimization via Deep Reinforcement Learning
Topology impacts important network performance metrics, including link u...
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03/04/2022
OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation
Light field disparity estimation is an essential task in computer vision...
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02/09/2022
GenAD: General Representations of Multivariate Time Seriesfor Anomaly Detection
The reliability of wireless base stations in China Mobile is of vital im...
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11/01/2021
Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
Mobile network traffic forecasting is one of the key functions in daily ...
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03/19/2021
Carton dataset synthesis based on foreground texture replacement
One major impediment in rapidly deploying object detection models for in...
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04/24/2020
Hardware Impairments Aware Full-Duplex NOMA Networks Over Rician Fading Channels
A cooperative full duplex (FD) non-orthogonal multiple access (NOMA) sch...
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04/08/2020
Smart Prediction of the Complaint Hotspot Problem in Mobile Network
In mobile network, a complaint hotspot problem often affects even thousa...
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03/28/2019
Sogou Machine Reading Comprehension Toolkit
Machine reading comprehension have been intensively studied in recent ye...
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03/08/2016
