KNN Seq

KNN (k-Nearest Neighbors) is a versatile machine learning algorithm finding increasing application across diverse fields, often integrated with other models to enhance performance or interpretability. Current research focuses on improving KNN's efficiency for large datasets (e.g., in machine translation and community detection), combining it with neural networks (e.g., for point cloud registration and outlier detection in astronomical images), and leveraging its capabilities for model-agnostic decision-making (e.g., in tool condition monitoring). These advancements demonstrate KNN's value in addressing complex problems requiring both speed and accuracy, impacting fields ranging from manufacturing to astronomy and natural language processing.

Papers

October 23, 2023

Making informed decisions in cutting tool maintenance in milling: A KNN based model agnostic approach
Aditya M. Rahalkar, Om M. Khare, Abhishek D. Patange
Feature Selection Agnostic Approach Tool Wear Informed Decision Milling Process Machining Feature KNN Algorithm KNN Seq

October 18, 2023

knn-seq: Efficient, Extensible kNN-MT Framework
Hiroyuki Deguchi, Hayate Hirano, Tomoki Hoshino, Yuto Nishida, Justin Vasselli, Taro Watanabe
High Efficiency Pre Trained Neural Machine Translation K Nearest Neighbor Machine Translation kNN MT KNN Seq

May 23, 2023

Skill-Based Few-Shot Selection for In-Context Learning
Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou
Large Language Model Context Learning Shot Learning View Selection Skill Mention KNN Seq

April 19, 2023

Community Detection Using Revised Medoid-Shift Based on KNN
Jie Hou, Jiakang Li, Xiaokang Peng, Wei Ke, Yonggang Lu
Community Detection KNN Seq Community Detection Problem

March 31, 2023

kNN-Res: Residual Neural Network with kNN-Graph coherence for point cloud registration
Muhammad S. Battikh, Dillon Hammill, Matthew Cook, Artem Lensky
Point Cloud Registration Residual Neural Network Point Set Spatial Coherence Smoothness Constraint Nearest Neighbor Graph Feature Drift KNN Seq

May 19, 2022

Identifying outliers in astronomical images with unsupervised machine learning
Yang Han, Zhiqiang Zou, Nan Li, Yanli Chen
Global Outlier Unsupervised Machine Learning Astronomical Image K Nearest Neighbor Structural Outlier KNN Clip KNN Seq

May 10, 2022

Human Emotion Classification based on EEG Signals Using Recurrent Neural Network And KNN
Shashank Joshi, Falak Joshi
Recurrent Neural Network EEG Data EEG Signal Emotion Classification Emotion Understanding KNN Seq