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ModelHub: Towards Unified Data and Lifecycle Management for Deep
  Learning

ModelHub: Towards Unified Data and Lifecycle Management for Deep Learning

18 November 2016
Hui Miao
Ang Li
L. Davis
Amol Deshpande
    VLM
    MU
ArXivPDFHTML

Papers citing "ModelHub: Towards Unified Data and Lifecycle Management for Deep Learning"

27 / 27 papers shown
Title
Natural Language Querying System Through Entity Enrichment
Natural Language Querying System Through Entity Enrichment
Joshua Amavi
Mirian Halfeld Ferrari
Nicolas Hiot
16
3
0
21 Oct 2024
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A
  Survey and Vision
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision
Nathaniel Hudson
J. G. Pauloski
Matt Baughman
Alok V. Kamatar
Mansi Sakarvadia
...
Owen Price Skelly
B. Blaiszik
Rick L. Stevens
Kyle Chard
Ian T. Foster
MedIm
13
8
0
05 Feb 2024
MGit: A Model Versioning and Management System
MGit: A Model Versioning and Management System
Wei Hao
Daniel Mendoza
Rafael Ferreira da Silva
Deepak Narayanan
Amar Phanishayee
VLM
19
1
0
14 Jul 2023
UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction
  Services
UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction Services
Jiangyi Fang
Liyue Chen
Di Chai
Yayao Hong
Xiuhuai Xie
Longbiao Chen
Leye Wang
AI4TS
8
1
0
07 Jun 2023
Incorporating Experts' Judgment into Machine Learning Models
Incorporating Experts' Judgment into Machine Learning Models
Hogun Park
Aly Megahed
Peifeng Yin
Yuya Jeremy Ong
P. Mahajan
Pei Guo
8
2
0
24 Apr 2023
The Pipeline for the Continuous Development of Artificial Intelligence
  Models -- Current State of Research and Practice
The Pipeline for the Continuous Development of Artificial Intelligence Models -- Current State of Research and Practice
M. Steidl
Michael Felderer
Rudolf Ramler
19
41
0
21 Jan 2023
Management of Machine Learning Lifecycle Artifacts: A Survey
Management of Machine Learning Lifecycle Artifacts: A Survey
Marius Schlegel
K. Sattler
17
35
0
21 Oct 2022
Metadata Representations for Queryable ML Model Zoos
Metadata Representations for Queryable ML Model Zoos
Ziyu Li
Rihan Hai
A. Bozzon
Asterios Katsifodimos
6
2
0
19 Jul 2022
Finding Materialized Models for Model Reuse
Finding Materialized Models for Model Reuse
Minjun Zhao
Lu Chen
Keyu Yang
Yuntao Du
Yunjun Gao
21
1
0
13 Oct 2021
Orienting, Framing, Bridging, Magic, and Counseling: How Data Scientists
  Navigate the Outer Loop of Client Collaborations in Industry and Academia
Orienting, Framing, Bridging, Magic, and Counseling: How Data Scientists Navigate the Outer Loop of Client Collaborations in Industry and Academia
Sean Kross
Philip J. Guo
17
30
0
13 May 2021
Deep Model Compression based on the Training History
Deep Model Compression based on the Training History
S. H. Shabbeer Basha
M. Farazuddin
Viswanath Pulabaigari
S. Dubey
Snehasis Mukherjee
VLM
8
17
0
30 Jan 2021
Provenance Graph Kernel
Provenance Graph Kernel
David Kohan Marzagão
T. D. Huynh
Ayah Helal
Sean Baccas
Luc Moreau
12
1
0
20 Oct 2020
Workflow Provenance in the Lifecycle of Scientific Machine Learning
Workflow Provenance in the Lifecycle of Scientific Machine Learning
Renan Souza
L. Azevedo
Vítor Lourencco
E. Soares
R. Thiago
...
M. Moreno
P. Valduriez
M. Mattoso
Renato F. G. Cerqueira
M. Netto
AI4TS
AI4CE
8
31
0
30 Sep 2020
Leam: An Interactive System for In-situ Visual Text Analysis
Leam: An Interactive System for In-situ Visual Text Analysis
Sajjadur Rahman
P. Griggs
cCaugatay Demiralp
6
8
0
08 Sep 2020
PipeSim: Trace-driven Simulation of Large-Scale AI Operations Platforms
PipeSim: Trace-driven Simulation of Large-Scale AI Operations Platforms
T. Rausch
W. Hummer
Vinod Muthusamy
AI4CE
18
5
0
22 Jun 2020
An Investigation of the Weight Space to Monitor the Training Progress of
  Neural Networks
An Investigation of the Weight Space to Monitor the Training Progress of Neural Networks
Konstantin Schurholt
Damian Borth
16
3
0
18 Jun 2020
A "Network Pruning Network" Approach to Deep Model Compression
A "Network Pruning Network" Approach to Deep Model Compression
Vinay K. Verma
Pravendra Singh
Vinay P. Namboodiri
Piyush Rai
3DPC
VLM
12
8
0
15 Jan 2020
Vamsa: Automated Provenance Tracking in Data Science Scripts
Vamsa: Automated Provenance Tracking in Data Science Scripts
M. Namaki
Avrilia Floratou
Fotis Psallidas
Subru Krishnan
Ashvin Agrawal
Yinghui Wu
Yiwen Zhu
Markus Weimer
8
16
0
07 Jan 2020
ModelHub.AI: Dissemination Platform for Deep Learning Models
ModelHub.AI: Dissemination Platform for Deep Learning Models
A. Hosny
M. Schwier
Christoph Berger
Evin Pınar Örnek
Mehmet Turan
...
U. Hoffmann
Bjoern H. Menze
Spyridon Bakas
Andrey Fedorov
Hugo J. W. L. Aerts
VLM
9
19
0
26 Nov 2019
Provenance Data in the Machine Learning Lifecycle in Computational
  Science and Engineering
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering
Renan Souza
L. Azevedo
Vítor Lourenço
E. Soares
R. Thiago
...
M. Moreno
P. Valduriez
M. Mattoso
Renato F. G. Cerqueira
M. Netto
AI4TS
6
35
0
09 Oct 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges,
  Techniques and Tools
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
R. Mayer
Hans-Arno Jacobsen
GNN
19
185
0
27 Mar 2019
DLHub: Model and Data Serving for Science
DLHub: Model and Data Serving for Science
Ryan Chard
Zhuozhao Li
Kyle Chard
Logan T. Ward
Y. Babuji
A. Woodard
S. Tuecke
B. Blaiszik
Michael Franklin
Ian T. Foster
17
74
0
27 Nov 2018
Leveraging Filter Correlations for Deep Model Compression
Leveraging Filter Correlations for Deep Model Compression
Pravendra Singh
Vinay K. Verma
Piyush Rai
Vinay P. Namboodiri
6
65
0
26 Nov 2018
Frustrated with Replicating Claims of a Shared Model? A Solution
Frustrated with Replicating Claims of a Shared Model? A Solution
Abdul Dakkak
Cheng-rong Li
Jinjun Xiong
Wen-mei W. Hwu
4
7
0
24 Nov 2018
Stability Based Filter Pruning for Accelerating Deep CNNs
Stability Based Filter Pruning for Accelerating Deep CNNs
Pravendra Singh
Vinay Sameer Raja Kadi
N. Verma
Vinay P. Namboodiri
CVBM
8
26
0
20 Nov 2018
Dependability in a Multi-tenant Multi-framework Deep Learning
  as-a-Service Platform
Dependability in a Multi-tenant Multi-framework Deep Learning as-a-Service Platform
S. Boag
Parijat Dube
K. E. Maghraoui
Benjamin Herta
W. Hummer
K. R. Jayaram
Rania Y. Khalaf
Vinod Muthusamy
M. Kalantar
Archit Verma
14
8
0
17 May 2018
NISP: Pruning Networks using Neuron Importance Score Propagation
NISP: Pruning Networks using Neuron Importance Score Propagation
Ruichi Yu
Ang Li
Chun-Fu Chen
Jui-Hsin Lai
Vlad I. Morariu
Xintong Han
M. Gao
Ching-Yung Lin
L. Davis
24
795
0
16 Nov 2017
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