Abstract: This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, log linear models without mixtures have been used as ...

This repo aims at providing a collection of efficient Triton-based implementations for state-of-the-art linear attention models. All implementations are written purely in PyTorch and Triton, making ...

AssemblyAI updates its Speaker Diarization model for better accuracy and multilingual support, alongside new tutorials for developers. AssemblyAI has recently unveiled significant updates to its ...

1 Department of Plant Pathology, The Ohio State University, Wooster, OH, United States 2 Center for Integrated Fungal Research, Department of Entomology and Plant Pathology, North Carolina State ...

Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the ...

Smoothed Language Modeling In NLP is a Natural Language Processing (NLP) project that focuses on the development of a language model. This project leverages trigram models, log-linear modeling ...

This article illustrates how to build, in less than 5 minutes, a simple linear regression model with gradient descent. The goal is to predict a dependent variable (y) from an independent variable (X).