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Showing 351375 of 2231 papers

TitleStatusHype
Motion Vector Extrapolation for Video Object DetectionCode1
Optimal Counterfactual Explanations for Scorecard modellingCode1
Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion FrameworkCode1
LeViT: a Vision Transformer in ConvNet's Clothing for Faster InferenceCode1
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal ControlCode1
ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan FramesCode1
Picasso: A CUDA-based Library for Deep Learning over 3D MeshesCode1
Collapsible Linear Blocks for Super-Efficient Super ResolutionCode1
Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAsCode1
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement LearningCode1
Large Graph Convolutional Network Training with GPU-Oriented Data Communication ArchitectureCode1
CARMI: A Cache-Aware Learned Index with a Cost-based Construction AlgorithmCode1
Accelerating Recommendation System Training by Leveraging Popular ChoicesCode1
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve EstimationCode1
HandTailor: Towards High-Precision Monocular 3D Hand RecoveryCode1
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
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning WorkloadsCode1
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture SearchCode1
Cleora: A Simple, Strong and Scalable Graph Embedding SchemeCode1
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural NetworkCode1
All-Day Object Tracking for Unmanned Aerial VehicleCode1
Marius: Learning Massive Graph Embeddings on a Single MachineCode1
Network Pruning using Adaptive Exemplar FiltersCode1
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular AccessesCode1
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