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Showing 3201–3250 of 5629 papers

TitleStatusHype
A hybrid CPU-GPU parallelization scheme of variable neighborhood search for inventory optimization problems—0
AI Accelerators for Large Language Model In-ference: Architecture Analysis and Scaling Strategies—0
AI-assisted Agile Propagation Modeling for Real-time Digital Twin Wireless Networks—0
AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources—0
Machine learning-driven conservative-to-primitive conversion in hybrid piecewise polytropic and tabulated equations of state—0
AI-focused HPC Data Centers Can Provide More Power Grid Flexibility and at Lower Cost—0
AI Matrix - Synthetic Benchmarks for DNN—0
AI, Native Supercomputing and The Revival of Moore's Law—0
Akid: A Library for Neural Network Research and Production from a Dataism Approach—0
Towards Device Efficient Conditional Image Generation—0
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining—0
ALERT: Accurate Learning for Energy and Timeliness—0
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper—0
Algorithms for Hyper-Parameter Optimization—0
A Light CNN for detecting COVID-19 from CT scans of the chest—0
A Lightweight FPGA-based IDS-ECU Architecture for Automotive CAN—0
A Lightweight Speaker Recognition System Using Timbre Properties—0
ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching—0
A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts—0
All Language Models Large and Small—0
All You Need in Knowledge Distillation Is a Tailored Coordinate System—0
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps—0
AlphaGAN: Fully Differentiable Architecture Searchfor Generative Adversarial Networks—0
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models—0
A Massively Parallel Associative Memory Based on Sparse Neural Networks—0
A matrix-free approach to parallel and memory-efficient deformable image registration—0
Ambiguity Adaptive Inference and Single-shot based Channel Pruning for Satellite Processing Environments—0
A Memristor based Unsupervised Neuromorphic System Towards Fast and Energy-Efficient GAN—0
A Mesh Is Worth 512 Numbers: Spectral-domain Diffusion Modeling for High-dimension Shape Generation—0
A Message Passing Neural Network Surrogate Model for Bond-Associated Peridynamic Material Correspondence Formulation—0
A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications—0
A Modular-based Strategy for Mitigating Gradient Conflicts in Simultaneous Speech Translation—0
A modular software framework for the design and implementation of ptychography algorithms—0
AMPLE: Event-Driven Accelerator for Mixed-Precision Inference of Graph Neural Networks—0
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation—0
A Multi-signal Variant for the GPU-based Parallelization of Growing Self-Organizing Networks—0
A Multi-Stage Multi-Task Neural Network for Aerial Scene Interpretation and Geolocalization—0
An Accurate and Low-Parameter Machine Learning Architecture for Next Location Prediction—0
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation—0
An Adaptive Threshold for the Canny Edge Detection with Actor-Critic Algorithm—0
Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training—0
Analysis and Adaptation of YOLOv4 for Object Detection in Aerial Images—0
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark—0
Analysis of Distributed Deep Learning in the Cloud—0
Analysis of Generalized Entropies in Mutual Information Medical Image Registration—0
Analyzing and Mitigating Data Stalls in DNN Training—0
Analyzing Machine Learning Performance in a Hybrid Quantum Computing and HPC Environment—0
Anant-Net: Breaking the Curse of Dimensionality with Scalable and Interpretable Neural Surrogate for High-Dimensional PDEs—0
An Application of Pseudo-Log-Likelihoods to Natural Language Scoring—0
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings—0
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