KPConvX: Kernel Point Convolution Modernization with Kernel Awareness by Technical Terrence Team 05/28/2024 0 In the field of deep point cloud understanding, KPConv is a unique architecture that uses kernel points to localize convolutional ...
Quantum Machine Learning with Python: Kernel Methods and Neural Networks | by Xavier Vasques | Mar, 2024 by Technical Terrence Team 03/16/2024 0 Photo by Annamária Borsos (used with permission)Quantum Machine Learning (QML) represents a fascinating convergence of quantum computing and machine learning ...
This Microsoft machine learning paper proposes ChunkAttention: a novel self-attention module to efficiently manage the KV cache and accelerate the self-attention kernel for LLM inference by Technical Terrence Team 03/04/2024 0 The development of large language models (LLM) in artificial intelligence represents an important advance. These models underpin many of today's ...
Density Kernel Depth for Outlier Detection in Functional Data by Technical Terrence Team 11/08/2023 0 Image generated from DALLE-3 In today's era of massive data sets and intricate data patterns, the art and science of ...