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20222026
most citedQuantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment

21 citations · 28 across the 9 of their papers we have counts for

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cs.DC2026

Lightweight and Resource-Efficient Perception for Robotic Guide Dogs

Jinse Kwon, Yoojin Lim, Choonghan Lee +3

Robotic guide dogs should understand their surroundings, objects, and potential risks. Prior research has focused on raw sensor data from cameras and 2D or 3D LiDAR, which precisel…

cs.LG2026

QFlash: Bridging Quantization and Memory Efficiency in Vision Transformer Attention

Sehyeon Oh, Yongin Kwon, Jemin Lee

FlashAttention improves efficiency through tiling, but its online softmax still relies on floating-point arithmetic for numerical stability, making full quantization difficult. We…