ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.07930
  4. Cited By
Ludwig: a type-based declarative deep learning toolbox

Ludwig: a type-based declarative deep learning toolbox

17 September 2019
Piero Molino
Yaroslav Dudin
Sai Sumanth Miryala
    VLM
ArXivPDFHTML

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

14 / 14 papers shown
Title
Reasonable Scale Machine Learning with Open-Source Metaflow
Reasonable Scale Machine Learning with Open-Source Metaflow
Jacopo Tagliabue
Hugo Bowne-Anderson
Ville Tuulos
Savin Goyal
R. Cledat
David Berg
AIFin
AI4CE
40
6
0
21 Mar 2023
Safe-DS: A Domain Specific Language to Make Data Science Safe
Safe-DS: A Domain Specific Language to Make Data Science Safe
Lars Reimann
Günter Kniesel-Wünsche
14
4
0
28 Feb 2023
Introducing Semantics into Speech Encoders
Introducing Semantics into Speech Encoders
Derek Xu
Shuyan Dong
Changhan Wang
Suyoun Kim
Zhaojiang Lin
...
Alexei Baevski
Guan-Ting Lin
Hung-yi Lee
Yizhou Sun
Wei Wang
SSL
36
3
0
15 Nov 2022
Integration of Neuromorphic AI in Event-Driven Distributed Digitized
  Systems: Concepts and Research Directions
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
45
15
0
20 Oct 2022
Accountability in an Algorithmic Society: Relationality, Responsibility,
  and Robustness in Machine Learning
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper
Emanuel Moss
Benjamin Laufer
Helen Nissenbaum
MLAU
32
85
0
10 Feb 2022
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding
  Ecosystems
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems
Laurel J. Orr
Atindriyo Sanyal
Xiao Ling
Karan Goel
Megan Leszczynski
27
18
0
11 Aug 2021
Declarative Machine Learning Systems
Declarative Machine Learning Systems
Piero Molino
Christopher Ré
AI4TS
24
19
0
16 Jul 2021
Whither AutoML? Understanding the Role of Automation in Machine Learning
  Workflows
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
Doris Xin
Eva Yiwei Wu
D. Lee
Niloufar Salehi
Aditya G. Parameswaran
62
91
0
13 Jan 2021
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
44
79
0
17 Sep 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical
  Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and
  Challenges
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
Aritz D. Martinez
Javier Del Ser
Esther Villar-Rodriguez
E. Osaba
Javier Poyatos
Siham Tabik
Daniel Molina
Francisco Herrera
35
26
0
09 Aug 2020
Adaptive Partial Scanning Transmission Electron Microscopy with
  Reinforcement Learning
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning
Jeffrey M. Ede
29
12
0
06 Apr 2020
Plato Dialogue System: A Flexible Conversational AI Research Platform
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
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
21
2
0
07 Oct 2019
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,377
0
25 Aug 2014
1