A Probabilistic Model for Discriminative and Neuro-Symbolic
Semi-Supervised Learning

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A Probabilistic Model for Discriminative and Neuro-Symbolic Semi-Supervised Learning

10 June 2020

Ivana Balavzević

Timothy M. Hospedales

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Papers citing "A Probabilistic Model for Discriminative and Neuro-Symbolic Semi-Supervised Learning"

18 / 18 papers shown

Title
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring David Berthelot Nicholas Carlini E. D. Cubuk Alexey Kurakin Kihyuk Sohn Han Zhang Colin Raffel 100 684 0 21 Nov 2019
Semi-Supervised Learning using Differentiable Reasoning Emile van Krieken Erman Acar F. V. Harmelen DRL 51 21 0 13 Aug 2019
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 97 561 0 18 Jul 2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver Po-Wei Wang P. Donti Bryan Wilder Zico Kolter LRM NAI 81 265 0 29 May 2019
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning Artur Garcez Marco Gori Luís C. Lamb Luciano Serafini Michael Spranger Son N. Tran NAI 114 295 0 15 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 159 3,033 0 06 May 2019
Integrating Learning and Reasoning with Deep Logic Models G. Marra Francesco Giannini Michelangelo Diligenti Marco Gori NAI 91 57 0 14 Jan 2019
Improving Knowledge Graph Embedding Using Simple Constraints Boyang Ding Quan Wang Bin Wang Li Guo 89 133 0 07 May 2018
A Semantic Loss Function for Deep Learning with Symbolic Knowledge Jingyi Xu Zilu Zhang Tal Friedman Yitao Liang Guy Van den Broeck 102 453 0 29 Nov 2017
End-to-End Differentiable Proving Tim Rocktaschel Sebastian Riedel NAI 111 382 0 31 May 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 153 2,739 0 13 Apr 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 335 1,273 0 06 Mar 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 189 2,567 0 07 Oct 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Tasdizen BDL 101 1,116 0 14 Jun 2016
Mutual Exclusivity Loss for Semi-Supervised Deep Learning Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Tasdizen SSL 53 80 0 09 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 356 8,002 0 23 May 2016
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 102 1,372 0 09 Jul 2015
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 105 2,742 0 20 Jun 2014