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Showing 1301–1350 of 2231 papers

TitleStatusHype
Motion Vector Extrapolation for Video Object DetectionCode1
Optimal Counterfactual Explanations for Scorecard modellingCode1
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding TableCode0
Efficient and Generic 1D Dilated Convolution Layer for Deep LearningCode0
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning—0
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks—0
Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion FrameworkCode1
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices—0
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform—0
Learning Residue-Aware Correlation Filters and Refining Scale Estimates with the GrabCut for Real-Time UAV TrackingCode0
Self-supervised Video Representation Learning by Context and Motion DecouplingCode0
LeViT: a Vision Transformer in ConvNet's Clothing for Faster InferenceCode1
Benchmarking a transformer-FREE model for ad-hoc retrievalCode0
Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows—0
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech—0
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection—0
Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning—0
Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning—0
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal ControlCode1
Exploring Edge TPU for Network Intrusion Detection in IoT—0
Rapid Risk Minimization with Bayesian Models Through Deep Learning Approximation—0
ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan FramesCode1
Imponderous Net for Facial Expression Recognition in the Wild—0
Picasso: A CUDA-based Library for Deep Learning over 3D MeshesCode1
Automated Backend-Aware Post-Training Quantization—0
Enhanced Robust Adaptive Beamforming Designs for General-Rank Signal Model via an Induced Norm of Matrix Errors—0
Power Modeling for Effective Datacenter Planning and Compute Management—0
MS*: A New Exact Algorithm for Multi-agent Simultaneous Multi-goal Sequencing and Path Finding—0
Collapsible Linear Blocks for Super-Efficient Super ResolutionCode1
Mobility-Aware Offloading and Resource Allocation in MEC-Enabled IoT Networks—0
Real-time Nonrigid Mosaicking of Laparoscopy Images—0
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search—0
Uncoordinated and Decentralized Processing in Extra-Large MIMO Arrays—0
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement LearningCode1
Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAsCode1
Extend the FFmpeg Framework to Analyze Media Content—0
Large Graph Convolutional Network Training with GPU-Oriented Data Communication ArchitectureCode1
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing—0
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve EstimationCode1
CARMI: A Cache-Aware Learned Index with a Cost-based Construction AlgorithmCode1
Accelerating Recommendation System Training by Leveraging Popular ChoicesCode1
Parallel implementations of random time algorithm for chemical network stochastic simulations—0
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets—0
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services—0
FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism—0
GnetDet: Object Detection Optimized on a 224mW CNN Accelerator Chip at the Speed of 106FPS—0
HandTailor: Towards High-Precision Monocular 3D Hand RecoveryCode1
Equilibrium Inverse Reinforcement Learning for Ride-hailing Vehicle Network—0
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency BenefitsCode1
Efficient neural networks for real-time modeling of analog dynamic range compressionCode1
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