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Showing 76100 of 117 papers

TitleStatusHype
Prediction Model of Aqua Fisheries Using IoT Devices0
Pretraining Approaches for Spoken Language Recognition: TalTech Submission to the OLR 2021 Challenge0
QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs0
Quantifying horizon dependence of asset prices: a cluster entropy approach0
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving0
Rectified Flow For Structure Based Drug Design0
Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models0
A Reliability-aware Multi-armed Bandit Approach to Learn and Select Users in Demand Response0
Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation0
Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation0
RFTacho: Non-intrusive RF monitoring of rotating machines0
Robust Pareto Transistor Sizing of GaN HEMTs for Millimeter-Wave Applications0
Salient Span Masking for Temporal Understanding0
Adaptive Visibility Graph Neural Network and It's Application in Modulation Classification0
Selectively Answering Visual Questions0
Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model0
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning0
An Analysis of Pre-Training on Object Detection0
Skipper: Improving the Reach and Fidelity of Quantum Annealers by Skipping Long Chains0
Creation and Detection of German Voice Deepfakes0
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation0
CovidRhythm: A Deep Learning Model for Passive Prediction of Covid-19 using Biobehavioral Rhythms Derived from Wearable Physiological Data0
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments0
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios0
Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments0
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