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Showing 2501–2525 of 5629 papers

TitleStatusHype
A Light CNN for detecting COVID-19 from CT scans of the chest—0
Diagonal Memory Optimisation for Machine Learning on Micro-controllers—0
2.5D Deep Learning for CT Image Reconstruction using a Multi-GPU implementation—0
10,000 km Straight-line Transmission using a Real-time Software-defined GPU-Based Receiver—0
Diagnostic data integration using deep neural networks for real-time plasma analysis—0
Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases—0
DHIL-GT: Scalable Graph Transformer with Decoupled Hierarchy Labeling—0
DG-RePlAce: A Dataflow-Driven GPU-Accelerated Analytical Global Placement Framework for Machine Learning Accelerators—0
Algorithms for Hyper-Parameter Optimization—0
IDOL: Instant Photorealistic 3D Human Creation from a Single Image—0
IGOT: Information Gain Optimized Tokenizer on Domain Adaptive Pretraining—0
Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms—0
DGOcc: Depth-aware Global Query-based Network for Monocular 3D Occupancy Prediction—0
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper—0
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation—0
Batch Normalization Sampling—0
ALERT: Accurate Learning for Energy and Timeliness—0
DFSSATTEN: Dynamic Fine-grained Structured Sparse Attention Mechanism—0
DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features—0
Batch Monte Carlo Tree Search—0
Batch-Max: Higher LLM Throughput using Larger Batch Sizes and KV Cache Compression—0
BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batching—0
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training—0
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices—0
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining—0
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