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Differentiable Inductive Logic Programming in High-Dimensional Space

Differentiable Inductive Logic Programming in High-Dimensional Space

13 August 2022
Stanislaw J. Purgal
David M. Cerna
C. Kaliszyk
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Papers citing "Differentiable Inductive Logic Programming in High-Dimensional Space"

15 / 15 papers shown
Title
Learning Higher-Order Programs without Meta-Interpretive Learning
Learning Higher-Order Programs without Meta-Interpretive Learning
Stanislaw J. Purgal
David M. Cerna
C. Kaliszyk
33
12
0
29 Dec 2021
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Prithviraj Sen
B. W. Carvalho
Ryan Riegel
Alexander G. Gray
NAI
AI4CE
117
57
0
06 Dec 2021
Logic Explained Networks
Logic Explained Networks
Gabriele Ciravegna
Pietro Barbiero
Francesco Giannini
Marco Gori
Pietro Lio
Marco Maggini
S. Melacci
67
69
0
11 Aug 2021
FF-NSL: Feed-Forward Neural-Symbolic Learner
FF-NSL: Feed-Forward Neural-Symbolic Learner
Daniel Cunnington
Mark Law
A. Russo
Jorge Lobo
NAI
64
15
0
24 Jun 2021
Differentiable Inductive Logic Programming for Structured Examples
Differentiable Inductive Logic Programming for Structured Examples
Hikaru Shindo
Masaaki Nishino
Akihiro Yamamoto
NAI
72
31
0
02 Mar 2021
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
349
12,966
0
26 May 2020
Learning programs by learning from failures
Learning programs by learning from failures
Andrew Cropper
Rolf Morel
72
91
0
05 May 2020
Differentiable Reasoning on Large Knowledge Bases and Natural Language
Differentiable Reasoning on Large Knowledge Bases and Natural Language
Pasquale Minervini
Matko Bovsnjak
Tim Rocktaschel
Sebastian Riedel
Edward Grefenstette
LRM
97
89
0
17 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
359
42,299
0
03 Dec 2019
Neural Logic Machines
Neural Logic Machines
Honghua Dong
Jiayuan Mao
Tian Lin
Chong-Jun Wang
Lihong Li
Denny Zhou
NAI
LRM
AI4CE
118
249
0
26 Apr 2019
Learning Explanatory Rules from Noisy Data
Learning Explanatory Rules from Noisy Data
Richard Evans
Edward Grefenstette
111
483
0
13 Nov 2017
Stacked Structure Learning for Lifted Relational Neural Networks
Stacked Structure Learning for Lifted Relational Neural Networks
Gustav Sourek
M. Svatos
F. Železný
Steven Schockaert
Ondrej Kuzelka
52
10
0
05 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
626
130,942
0
12 Jun 2017
Logic Tensor Networks for Semantic Image Interpretation
Logic Tensor Networks for Semantic Image Interpretation
Ivan Donadello
Luciano Serafini
Artur Garcez
76
211
0
24 May 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
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