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Showing 3676–3700 of 5629 papers

TitleStatusHype
Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications—0
Optimizing Data Collection in Deep Reinforcement Learning—0
Robust and efficient computation of retinal fractal dimension through deep approximation—0
Accelerating Large-Scale Graph-based Nearest Neighbor Search on a Computational Storage Platform—0
Robotic Detection of a Human-Comprehensible Gestural Language for Underwater Multi-Human-Robot Collaboration—0
STI: Turbocharge NLP Inference at the Edge via Elastic Pipelining—0
Accelerated Deep Lossless Image Coding with Unified Paralleleized GPU Coding Architecture—0
Spatiotemporal singular value decomposition for denoising in photoacoustic imaging with low-energy excitation light source—0
High Performance Simulation for Scalable Multi-Agent Reinforcement Learning—0
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level—0
A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization—0
SNeRF: Stylized Neural Implicit Representations for 3D Scenes—0
Betty: An Automatic Differentiation Library for Multilevel Optimization—0
Memory Efficient Patch-based Training for INR-based GANs—0
Sustainable AI Processing at the Edge—0
Dynamic Contrastive Distillation for Image-Text Retrieval—0
Protea: Client Profiling within Federated Systems using Flower—0
Recipe for Fast Large-scale SVM Training: Polishing, Parallelism, and more RAM!—0
Efficient Constituency Tree based Encoding for Natural Language to Bash TranslationCode0
Sliced at SemEval-2022 Task 11: Bigger, Better? Massively Multilingual LMs for Multilingual Complex NER on an Academic GPU Budget—0
Lightweight Transformers for Conversational AI—0
Easy and Efficient Transformer: Scalable Inference Solution For Large NLP Model—0
CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection GenerationCode0
R-MelNet: Reduced Mel-Spectral Modeling for Neural TTS—0
Scalable K-FAC Training for Deep Neural Networks with Distributed PreconditioningCode0
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