Ludwig: a type-based declarative deep learning toolbox

17 September 2019

Papers citing "Ludwig: a type-based declarative deep learning toolbox"

9 / 9 papers shown

Title
Safe-DS: A Domain Specific Language to Make Data Science Safe Lars Reimann Günter Kniesel-Wünsche 8 4 0 28 Feb 2023
Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions Mattias Nilsson Olov Schelén Anders Lindgren Ulf Bodin Cristina Paniagua J. Delsing Fredrik Sandin 37 14 0 20 Oct 2022
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning A. Feder Cooper Emanuel Moss Benjamin Laufer Helen Nissenbaum MLAU 26 85 0 10 Feb 2022
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems Laurel J. Orr Atindriyo Sanyal Xiao Ling Karan Goel Megan Leszczynski 25 18 0 11 Aug 2021
Declarative Machine Learning Systems Piero Molino Christopher Ré AI4TS 19 19 0 16 Jul 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Plato Dialogue System: A Flexible Conversational AI Research Platform Alexandros Papangelis Mahdi Namazifar Chandra Khatri Yi-Chia Wang Piero Molino Gokhan Tur LLMAG 29 23 0 17 Jan 2020
FastEstimator: A Deep Learning Library for Fast Prototyping and Productization Xiaomeng Dong Junpyo Hong Hsi-Ming Chang Michael Potter Aritra Chowdhury ... Rajesh Tamada Gaurav Kumar Caroline Favart V. R. Saripalli Gopal Avinash 13 2 0 07 Oct 2019
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014