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Showing 1051–1075 of 2231 papers

TitleStatusHype
aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis—0
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)—0
A Compilation Flow for the Generation of CNN Inference Accelerators on FPGAs—0
A Web-Based Solution for Federated Learning with LLM-Based Automation—0
Divide and Conquer for Full-Resolution Light Field Deblurring—0
ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching—0
Implementing a LoRa Software-Defined Radio on a General-Purpose ULP Microcontroller—0
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor—0
Importance Weighted Evolution Strategies—0
Distributed U-net model and Image Segmentation for Lung Cancer Detection—0
Distributed SLIDE: Enabling Training Large Neural Networks on Low Bandwidth and Simple CPU-Clusters via Model Parallelism and Sparsity—0
A Versatile Learning-Based 3D Temporal Tracker: Scalable, Robust, Online—0
Distributed Receivers for Extra-Large Scale MIMO Arrays: A Message Passing Approach—0
A Variant of Concurrent Constraint Programming on GPU—0
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale—0
Distributed optimization in wireless sensor networks: an island-model framework—0
Distributed Multigrid Neural Solvers on Megavoxel Domains—0
A Lightweight Moving Target Defense Framework for Multi-purpose Malware Affecting IoT Devices—0
Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction—0
Distributed Kernel K-Means for Large Scale Clustering—0
Auto-tuning TensorFlow Threading Model for CPU Backend—0
5Gperf: signal processing performance for 5G—0
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification—0
Distributed Hessian-Free Optimization for Deep Neural Network—0
Impact of Inference Accelerators on hardware selection—0
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