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. 1810.02840
  4. Cited By
Training Complex Models with Multi-Task Weak Supervision

Training Complex Models with Multi-Task Weak Supervision

5 October 2018
Alexander Ratner
Braden Hancock
Jared A. Dunnmon
Frederic Sala
Shreyash Pandey
Christopher Ré
ArXivPDFHTML

Papers citing "Training Complex Models with Multi-Task Weak Supervision"

21 / 21 papers shown
Title
ScriptoriumWS: A Code Generation Assistant for Weak Supervision
ScriptoriumWS: A Code Generation Assistant for Weak Supervision
Tzu-Heng Huang
Catherine Cao
Spencer Schoenberg
Harit Vishwakarma
Nicholas Roberts
Frederic Sala
NoLa
167
5
0
17 Feb 2025
An Adaptive Method for Weak Supervision with Drifting Data
An Adaptive Method for Weak Supervision with Drifting Data
Alessio Mazzetto
Reza Esfandiarpoor
E. Upfal
Stephen H. Bach
Stephen H. Bach
89
1
0
02 Jun 2023
Multi-Resolution Weak Supervision for Sequential Data
Multi-Resolution Weak Supervision for Sequential Data
Frederic Sala
P. Varma
Jason Alan Fries
Daniel Y. Fu
Shiori Sagawa
...
A. Ramamoorthy
K. Xiao
Kayvon Fatahalian
J. Priest
Christopher Ré
NoLa
101
29
0
21 Oct 2019
Learning From Noisy Singly-labeled Data
Learning From Noisy Singly-labeled Data
A. Khetan
Zachary Chase Lipton
Anima Anandkumar
NoLa
47
161
0
13 Dec 2017
Snorkel: Rapid Training Data Creation with Weak Supervision
Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander Ratner
Stephen H. Bach
Henry R. Ehrenberg
Jason Alan Fries
Sen Wu
Christopher Ré
62
1,021
0
28 Nov 2017
Inferring Generative Model Structure with Static Analysis
Inferring Generative Model Structure with Static Analysis
P. Varma
Bryan D. He
Payal Bajaj
Imon Banerjee
Nishith Khandwala
D. Rubin
Christopher Ré
32
58
0
07 Sep 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
95
2,817
0
15 Jun 2017
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
Emmanouil Antonios Platanios
Hoifung Poon
Tom Michael Mitchell
Eric Horvitz
52
59
0
19 May 2017
Who Said What: Modeling Individual Labelers Improves Classification
Who Said What: Modeling Individual Labelers Improves Classification
M. Guan
Varun Gulshan
Andrew M. Dai
Geoffrey E. Hinton
NoLa
33
226
0
26 Mar 2017
Learning the Structure of Generative Models without Labeled Data
Learning the Structure of Generative Models without Labeled Data
Stephen H. Bach
Bryan D. He
Alexander Ratner
Christopher Ré
47
166
0
02 Mar 2017
Data Programming: Creating Large Training Sets, Quickly
Data Programming: Creating Large Training Sets, Quickly
Alexander Ratner
Christopher De Sa
Sen Wu
Daniel Selsam
Christopher Ré
122
713
0
25 May 2016
An Introduction to Matrix Concentration Inequalities
An Introduction to Matrix Concentration Inequalities
J. Tropp
80
1,139
0
07 Jan 2015
Robust Matrix Completion
Robust Matrix Completion
Olga Klopp
Karim Lounici
Alexandre B. Tsybakov
52
124
0
28 Dec 2014
Context-Dependent Fine-Grained Entity Type Tagging
Context-Dependent Fine-Grained Entity Type Tagging
D. Gillick
N. Lazić
Kuzman Ganchev
Jesse Kirchner
David Huynh
38
141
0
03 Dec 2014
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang
Xi Chen
Dengyong Zhou
Michael I. Jordan
FedML
58
386
0
15 Jun 2014
Uniqueness of Tensor Decompositions with Applications to Polynomial
  Identifiability
Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability
Aditya Bhaskara
Moses Charikar
Aravindan Vijayaraghavan
49
65
0
30 Apr 2013
Structure estimation for discrete graphical models: Generalized
  covariance matrices and their inverses
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses
Po-Ling Loh
Martin J. Wainwright
64
180
0
03 Dec 2012
Tensor decompositions for learning latent variable models
Tensor decompositions for learning latent variable models
Anima Anandkumar
Rong Ge
Daniel J. Hsu
Sham Kakade
Matus Telgarsky
273
1,142
0
29 Oct 2012
A Combinatorial Algebraic Approach for the Identifiability of Low-Rank
  Matrix Completion
A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion
Franz J. Király
Ryota Tomioka
44
42
0
27 Jun 2012
Lipschitz Parametrization of Probabilistic Graphical Models
Lipschitz Parametrization of Probabilistic Graphical Models
Jean Honorio
50
22
0
14 Feb 2012
Latent variable graphical model selection via convex optimization
Latent variable graphical model selection via convex optimization
V. Chandrasekaran
P. Parrilo
A. Willsky
CML
174
509
0
06 Aug 2010
1