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. 2202.08566
  4. Cited By
Efficient and Reliable Probabilistic Interactive Learning with
  Structured Outputs

Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs

17 February 2022
Stefano Teso
Antonio Vergari
    TPM
ArXiv (abs)PDFHTML

Papers citing "Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs"

13 / 13 papers shown
Title
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations
YooJung Choi
Tal Friedman
Guy Van den Broeck
TPM
63
12
0
08 Nov 2021
Probabilistic Circuits for Variational Inference in Discrete Graphical
  Models
Probabilistic Circuits for Variational Inference in Discrete Graphical Models
Andy Shih
Stefano Ermon
TPM
53
22
0
22 Oct 2020
Coherent Hierarchical Multi-Label Classification Networks
Coherent Hierarchical Multi-Label Classification Networks
Eleonora Giunchiglia
Thomas Lukasiewicz
AILaw
192
97
0
20 Oct 2020
Making deep neural networks right for the right scientific reasons by
  interacting with their explanations
Making deep neural networks right for the right scientific reasons by interacting with their explanations
P. Schramowski
Wolfgang Stammer
Stefano Teso
Anna Brugger
Xiaoting Shao
Hans-Georg Luigs
Anne-Katrin Mahlein
Kristian Kersting
117
213
0
15 Jan 2020
Limitations of the Empirical Fisher Approximation for Natural Gradient
  Descent
Limitations of the Empirical Fisher Approximation for Natural Gradient Descent
Frederik Kunstner
Lukas Balles
Philipp Hennig
88
219
0
29 May 2019
Conditional Sum-Product Networks: Imposing Structure on Deep
  Probabilistic Architectures
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures
Xiaoting Shao
Alejandro Molina
Antonio Vergari
Karl Stelzner
Robert Peharz
Thomas Liebig
Kristian Kersting
BDLTPM
53
35
0
21 May 2019
Online Learning: A Comprehensive Survey
Online Learning: A Comprehensive Survey
Guosheng Lin
Doyen Sahoo
Jing Lu
P. Zhao
OffRL
95
645
0
08 Feb 2018
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,871
0
14 Jun 2017
Active Learning for Structured Prediction from Partially Labeled Data
Active Learning for Structured Prediction from Partially Labeled Data
Mehran Khodabandeh
Zhiwei Deng
Mostafa S. Ibrahim
Shinichi Satoh
Greg Mori
42
3
0
07 Jun 2017
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDLUQCV
75
1,739
0
08 Mar 2017
Near-optimal Nonmyopic Value of Information in Graphical Models
Near-optimal Nonmyopic Value of Information in Graphical Models
Andreas Krause
Carlos Guestrin
88
467
0
04 Jul 2012
Sum-Product Networks: A New Deep Architecture
Sum-Product Networks: A New Deep Architecture
Hoifung Poon
Pedro M. Domingos
TPM
83
761
0
14 Feb 2012
A Knowledge Compilation Map
A Knowledge Compilation Map
Adnan Darwiche
Pierre Marquis
96
953
0
09 Jun 2011
1