KDnuggets

JANUARY 3, 2020

This post presents a pipeline of building a KNN model in R with various measurement metrics.

K-nearest Neighbors 377

K-nearest Neighbors 377

Data Science Dojo

MAY 27, 2024

Released in 2020, AlphaFold leverages deep learning algorithms to accurately predict the 3D structure of proteins from their amino acid sequences, outperforming traditional methods by a significant margin.

K-nearest Neighbors 338

K-nearest Neighbors Supervised Learning AI AI 338

Snorkel AI

APRIL 11, 2023

First, “Selection via Proxy,” which appeared in ICLR 2020. And please see our work, our paper “Selection via Proxy” from ICLR 2020 for more details on core-set selection, as well as all of the other datasets and methods that we tried there. I was super fortunate to work with amazing researchers from Stanford on this. AB : Got it.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Snorkel AI

APRIL 11, 2023

First, “Selection via Proxy,” which appeared in ICLR 2020. And please see our work, our paper “Selection via Proxy” from ICLR 2020 for more details on core-set selection, as well as all of the other datasets and methods that we tried there. I was super fortunate to work with amazing researchers from Stanford on this. AB : Got it.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Snorkel AI

APRIL 11, 2023

First, “Selection via Proxy,” which appeared in ICLR 2020. And please see our work, our paper “Selection via Proxy” from ICLR 2020 for more details on core-set selection, as well as all of the other datasets and methods that we tried there. I was super fortunate to work with amazing researchers from Stanford on this. AB : Got it.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

AWS Machine Learning Blog

APRIL 19, 2024

We perform a k-nearest neighbor (k-NN) search to retrieve the most relevant embeddings matching the user query. According to the information provided in the summary, GPT-3 from 2020 had 175B (175 billion) parameters, while GPT-2 from 2019 had 1.5B (1.5 Compared to GPT-2, how many more parameters does GPT-3 have?

AWS 130

AWS ML ML Database 130

PyImageSearch

MAY 12, 2025

Powering Neural Search : Enables advanced similarity-based retrieval using OpenSearchs k-NN (k-Nearest Neighbors) indexing. By defining an index mapping correctly, OpenSearch can efficiently store and retrieve movie data while leveraging k-NN (k-Nearest Neighbors) search to find similar movies based on embeddings.

AWS 74

AWS K-nearest Neighbors Deep Learning Deep Learning 74