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08/30/2023
Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation
Few-shot image generation, which aims to produce plausible and diverse i...
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08/25/2023
Interactive segmentation in aerial images: a new benchmark and an open access web-based tool
In recent years, deep learning has emerged as a powerful approach in rem...
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08/21/2023
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks
In this paper, we propose a novel layer-adaptive weight-pruning approach...
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08/11/2023
Phased Deep Spatio-temporal Learning for Highway Traffic Volume Prediction
Inter-city highway transportation is significant for citizens' modern ur...
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08/11/2023
Deep Context Interest Network for Click-Through Rate Prediction
Click-Through Rate (CTR) prediction, estimating the probability of a use...
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07/31/2023
Image Synthesis under Limited Data: A Survey and Taxonomy
Deep generative models, which target reproducing the given data distribu...
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07/14/2023
A Tutorial on Extremely Large-Scale MIMO for 6G: Fundamentals, Signal Processing, and Applications
Extremely large-scale multiple-input-multiple-output (XL-MIMO), which of...
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07/06/2023
Cell-Free XL-MIMO Meets Multi-Agent Reinforcement Learning: Architectures, Challenges, and Future Directions
Cell-free massive multiple-input multiple-output (mMIMO) and extremely l...
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07/03/2023
Evaluation and Control Model Design of Human Factors for Autonomous Driving Systems
With the fast development of driving automation technologies, user psych...
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06/28/2023
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs
In recent years, Transformer-based language models have become the stand...
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06/14/2023
Federated Learning-based Vehicle Trajectory Prediction against Cyberattacks
With the development of the Internet of Vehicles (IoV), vehicle wireless...
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06/08/2023
Muti-Scale And Token Mergence: Make Your ViT More Efficient
Since its inception, Vision Transformer (ViT) has emerged as a prevalent...
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06/06/2023
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
Cascading architecture has been widely adopted in large-scale advertisin...
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05/24/2023
Graphy Analysis Using a GPU-based Parallel Algorithm: Quantum Clustering
The article introduces a new method for applying Quantum Clustering to g...
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05/12/2023
A Lightweight Domain Adversarial Neural Network Based on Knowledge Distillation for EEG-based Cross-subject Emotion Recognition
Individual differences of Electroencephalogram (EEG) could cause the dom...
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05/08/2023
Blockchained Federated Learning for Internet of Things: A Comprehensive Survey
The demand for intelligent industries and smart services based on big da...
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05/08/2023
Location Privacy Threats and Protections in Future Vehicular Networks: A Comprehensive Review
Location privacy is critical in vehicular networks, where drivers' traje...
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05/02/2023
PGrad: Learning Principal Gradients For Domain Generalization
Machine learning models fail to perform when facing out-of-distribution ...
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04/17/2023
Transformer with Selective Shuffled Position Embedding using ROI-Exchange Strategy for Early Detection of Knee Osteoarthritis
Knee OsteoArthritis (KOA) is a prevalent musculoskeletal disorder that c...
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04/03/2023
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
Existing 3D scene understanding tasks have achieved high performance on ...
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03/23/2023
A Confident Labelling Strategy Based on Deep Learning for Improving Early Detection of Knee OsteoArthritis
Knee OsteoArthritis (KOA) is a prevalent musculoskeletal disorder that c...
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03/15/2023
SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation
For semantic segmentation in urban scene understanding, RGB cameras alon...
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03/11/2023
The Multimodal Information based Speech Processing (MISP) 2022 Challenge: Audio-Visual Diarization and Recognition
The Multi-modal Information based Speech Processing (MISP) challenge aim...
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03/07/2023
Calibration-free BEV Representation for Infrastructure Perception
Effective BEV object detection on infrastructure can greatly improve tra...
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03/04/2023
MetaGrad: Adaptive Gradient Quantization with Hypernetworks
A popular track of network compression approach is Quantization aware Tr...
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02/26/2023
Key-Exchange Convolutional Auto-Encoder for Data Augmentation in Early Knee OsteoArthritis Classification
Knee OsteoArthritis (KOA) is a prevalent musculoskeletal condition that ...
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02/03/2023
Improving Interpretability via Explicit Word Interaction Graph Layer
Recent NLP literature has seen growing interest in improving model inter...
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02/02/2023
Low-Complexity Precoding for Extremely Large-Scale MIMO Over Non-Stationary Channels
Extremely large-scale multiple-input-multiple-output (XL-MIMO) is a prom...
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01/28/2023
Uplink Performance of Cell-Free Extremely Large-Scale MIMO Systems
In this paper, we investigate the uplink performance of cell-free (CF) e...
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01/06/2023
Uplink Precoding Design for Cell-Free Massive MIMO with Iteratively Weighted MMSE
In this paper, we investigate a cell-free massive multiple-input multipl...
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12/14/2022
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection
Although DETR-based 3D detectors can simplify the detection pipeline and...
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10/26/2022
Deep Learning Based Audio-Visual Multi-Speaker DOA Estimation Using Permutation-Free Loss Function
In this paper, we propose a deep learning based multi-speaker direction ...
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10/25/2022
Towards Trustworthy Multi-label Sewer Defect Classification via Evidential Deep Learning
An automatic vision-based sewer inspection plays a key role of sewage sy...
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10/25/2022
ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition
Representing the spatial properties of facial attributes is a vital chal...
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10/19/2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
Recent self-supervised pre-training methods on Heterogeneous Information...
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10/11/2022
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data
Training GANs under limited data often leads to discriminator overfittin...
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09/28/2022
Uplink Performance of RIS-aided Cell-Free Massive MIMO System Over Spatially Correlated Channels
We consider a practical spatially correlated reconfigurable intelligent ...
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09/26/2022
Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile
Most of today's computer vision pipelines are built around deep neural n...
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09/25/2022
Extremely Large-Scale MIMO: Fundamentals, Challenges, Solutions, and Future Directions
Extremely large-scale multiple-input-multiple-output (XL-MIMO) is a prom...
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09/22/2022
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments
The Game Theory Multi-Agent team at DeepMind studies several aspects...
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09/19/2022
Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning
Magnetic Resonance Fingerprinting (MRF) is a novel technique that simult...
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09/07/2022
Joint Learning of Deep Texture and High-Frequency Features for Computer-Generated Image Detection
Distinguishing between computer-generated (CG) and natural photographic ...
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09/05/2022
A Brief History of Recommender Systems
Soon after the invention of the Internet, the recommender system emerged...
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08/15/2022
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query
Paper recommendation with user-generated keyword is to suggest papers th...
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08/12/2022
TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation
Brain network analysis for traumatic brain injury (TBI) patients is crit...
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07/28/2022
Identifying and Exploiting Sparse Branch Correlations for Optimizing Branch Prediction
Branch prediction is arguably one of the most important speculative mech...
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07/22/2022
Cell-Free Massive MIMO with Multi-Antenna Users over Weichselberger Rician Channels
We consider a cell-free massive multiple-input multiple-output (MIMO) sy...
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07/15/2022
WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation
Existing few-shot image generation approaches typically employ fusion-ba...
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06/30/2022
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
We introduce DeepNash, an autonomous agent capable of learning to play t...
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05/31/2022
