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08/31/2023
AntM^2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction
Click-through rate (CTR) prediction is a crucial issue in recommendation...
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08/24/2023
Block-Level Interference Exploitation Precoding for MU-MISO: An ADMM Approach
We study constructive interference based block-level precoding (CI-BLP) ...
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05/16/2023
Style Transfer Enabled Sim2Real Framework for Efficient Learning of Robotic Ultrasound Image Analysis Using Simulated Data
Robotic ultrasound (US) systems have shown great potential to make US ex...
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07/06/2022
Aspect-Based Sentiment Analysis using Local Context Focus Mechanism with DeBERTa
Text sentiment analysis, also known as opinion mining, is research on th...
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06/16/2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing
With the increasing popularity of robotics in industrial control and aut...
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03/23/2022
Block-Level Interference Exploitation Precoding without Symbol-by-Symbol Optimization
Symbol-level precoding (SLP) based on the concept of constructive interf...
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12/19/2021
M2DGR: A Multi-sensor and Multi-scenario SLAM Dataset for Ground Robots
We introduce M2DGR: a novel large-scale dataset collected by a ground ro...
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11/22/2021
Semi-Supervised Vision Transformers
We study the training of Vision Transformers for semi-supervised image c...
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06/24/2021
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression
As supercomputers continue to grow to exascale, the amount of data that ...
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12/08/2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
Graph-based semi-supervised node classification (GraphSSC) has wide appl...
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06/19/2020
SOLA: Continual Learning with Second-Order Loss Approximation
Neural networks have achieved remarkable success in many cognitive tasks...
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05/01/2020
The AVA-Kinetics Localized Human Actions Video Dataset
This paper describes the AVA-Kinetics localized human actions video data...
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08/15/2019
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
Rotation detection is a challenging task due to the difficulties of loca...
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02/09/2019
Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher
Despite the fact that deep neural networks are powerful models and achie...
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11/14/2017
