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Showing 1926–1950 of 2231 papers

TitleStatusHype
Solving the Resource Constrained Project Scheduling Problem Using the Parallel Tabu Search Designed for the CUDA PlatformCode0
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutesCode0
High Dimensional Bayesian Optimization Assisted by Principal Component AnalysisCode0
High-Accuracy Low-Precision TrainingCode0
Distributed deep learning on edge-devices: feasibility via adaptive compressionCode0
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOpsCode0
HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial NetworksCode0
Heterogeneous CPU+GPU Stochastic Gradient Descent AlgorithmsCode0
A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANsCode0
Distilled Neural Networks for Efficient Learning to RankCode0
Discriminative Correlation Filter with Channel and Spatial ReliabilityCode0
Branched Latent Neural MapsCode0
Marian: Cost-effective High-Quality Neural Machine Translation in C++Code0
Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum SimulationsCode0
Augmented Memory for Correlation Filters in Real-Time UAV TrackingCode0
MARVIS: Motion & Geometry Aware Real and Virtual Image SegmentationCode0
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUsCode0
Mastering 2048 with Delayed Temporal Coherence Learning, Multi-Stage Weight Promotion, Redundant Encoding and Carousel ShapingCode0
Quasi-Monte Carlo methods for calculating derivatives sensitivities on the GPUCode0
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network DesignCode0
Harnessing Large Language Models Locally: Empirical Results and Implications for AI PCCode0
Matrix Factorization on GPUs with Memory Optimization and Approximate ComputingCode0
Detection of Binary Square Fiducial Markers Using an Event CameraCode0
McKernel: A Library for Approximate Kernel Expansions in Log-linear TimeCode0
Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design RecommendationsCode0
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