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Semi-Supervised Learning using Differentiable Reasoning

Semi-Supervised Learning using Differentiable Reasoning

Emile van Krieken
Erman Acar
F. V. Harmelen
    DRL
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Papers citing "Semi-Supervised Learning using Differentiable Reasoning"

15 / 15 papers shown
Title
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
NAI
102
34
0
24 Aug 2023
logLTN: Differentiable Fuzzy Logic in the Logarithm Space
logLTN: Differentiable Fuzzy Logic in the Logarithm Space
Samy Badreddine
Luciano Serafini
Michael Spranger
51
1
0
26 Jun 2023
Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning
Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning
Roshanak Mirzaee
Parisa Kordjamshidi
SyDaLRM
89
36
0
30 Oct 2022
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories
Davide Buffelli
Efthymia Tsamoura
72
2
0
06 Sep 2022
Knowledge Enhanced Neural Networks for relational domains
Knowledge Enhanced Neural Networks for relational domains
Alessandro Daniele
Luciano Serafini
62
9
0
31 May 2022
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
Natalia Díaz Rodríguez
Alberto Lamas
Jules Sanchez
Gianni Franchi
Ivan Donadello
Siham Tabik
David Filliat
P. Cruz
Rosana Montes
Francisco Herrera
136
78
0
24 Apr 2021
Logic Tensor Networks
Logic Tensor Networks
Samy Badreddine
Artur Garcez
Luciano Serafini
Michael Spranger
NAI
178
212
0
25 Dec 2020
Neural-Symbolic Integration: A Compositional Perspective
Neural-Symbolic Integration: A Compositional Perspective
Efthymia Tsamoura
Loizos Michael
NAI
96
69
0
22 Oct 2020
Neural Networks Enhancement with Logical Knowledge
Neural Networks Enhancement with Logical Knowledge
Alessandro Daniele
Luciano Serafini
NAI
52
3
0
13 Sep 2020
A Probabilistic Model for Discriminative and Neuro-Symbolic Semi-Supervised Learning
A Probabilistic Model for Discriminative and Neuro-Symbolic Semi-Supervised Learning
Carl Allen
Ivana Balavzević
Timothy M. Hospedales
BDL
101
1
0
10 Jun 2020
Analyzing Differentiable Fuzzy Implications
Analyzing Differentiable Fuzzy Implications
Emile van Krieken
Erman Acar
F. V. Harmelen
AI4CE
75
29
0
04 Jun 2020
Teaching the Old Dog New Tricks: Supervised Learning with Constraints
Teaching the Old Dog New Tricks: Supervised Learning with Constraints
F. Detassis
M. Lombardi
M. Milano
70
27
0
25 Feb 2020
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem
Mattia Silvestri
M. Lombardi
M. Milano
AI4CE
119
19
0
25 Feb 2020
Analyzing Differentiable Fuzzy Logic Operators
Analyzing Differentiable Fuzzy Logic Operators
Emile van Krieken
Erman Acar
F. V. Harmelen
NAIAI4CE
122
137
0
14 Feb 2020
T-Norms Driven Loss Functions for Machine Learning
T-Norms Driven Loss Functions for Machine Learning
G. Marra
Francesco Giannini
Michelangelo Diligenti
Marco Maggini
Marco Gori
126
13
0
26 Jul 2019