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Harnessing Deep Neural Networks with Logic Rules
v1v2v3v4v5v6 (latest)

Harnessing Deep Neural Networks with Logic Rules

21 March 2016
Zhiting Hu
Xuezhe Ma
Zhengzhong Liu
Eduard H. Hovy
Eric Xing
    AI4CENAI
ArXiv (abs)PDFHTML

Papers citing "Harnessing Deep Neural Networks with Logic Rules"

29 / 29 papers shown
Title
A Novel Neural-symbolic System under Statistical Relational Learning
A Novel Neural-symbolic System under Statistical Relational Learning
Dongran Yu
Xueyan Liu
Shirui Pan
Anchen Li
Bo Yang
AI4CENAI
56
1
0
16 Sep 2023
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive
  Weakly-Supervised Learning
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning
Rongzhi Zhang
Yue Yu
Pranav Shetty
Le Song
Chao Zhang
125
25
0
18 Mar 2022
Relational Reasoning Networks
Relational Reasoning Networks
G. Marra
Michelangelo Diligenti
Francesco Giannini
NAI
82
4
0
01 Jun 2021
Knowledge Graph Embedding with Iterative Guidance from Soft Rules
Knowledge Graph Embedding with Iterative Guidance from Soft Rules
Shu Guo
Quan Wang
Lihong Wang
Bin Wang
Li Guo
65
219
0
30 Nov 2017
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
248
10,264
0
27 Mar 2016
Composing graphical models with neural networks for structured
  representations and fast inference
Composing graphical models with neural networks for structured representations and fast inference
Matthew J. Johnson
David Duvenaud
Alexander B. Wiltschko
S. R. Datta
Ryan P. Adams
BDLOCL
92
485
0
20 Mar 2016
One-Shot Generalization in Deep Generative Models
One-Shot Generalization in Deep Generative Models
Danilo Jimenez Rezende
S. Mohamed
Ivo Danihelka
Karol Gregor
Daan Wierstra
BDLVLMDRLLRM
122
254
0
16 Mar 2016
Multichannel Variable-Size Convolution for Sentence Classification
Multichannel Variable-Size Convolution for Sentence Classification
Wenpeng Yin
Hinrich Schütze
57
156
0
15 Mar 2016
Neural Architectures for Named Entity Recognition
Neural Architectures for Named Entity Recognition
Guillaume Lample
Miguel Ballesteros
Sandeep Subramanian
Kazuya Kawakami
Chris Dyer
226
4,016
0
04 Mar 2016
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma
Eduard H. Hovy
106
2,655
0
04 Mar 2016
MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for
  Sentence Classification
MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification
Ye Zhang
Stephen Roller
Byron C. Wallace
68
105
0
03 Mar 2016
Named Entity Recognition with Bidirectional LSTM-CNNs
Named Entity Recognition with Bidirectional LSTM-CNNs
Jason P. C. Chiu
Eric Nichols
89
1,900
0
26 Nov 2015
Unifying distillation and privileged information
Unifying distillation and privileged information
David Lopez-Paz
Léon Bottou
Bernhard Schölkopf
V. Vapnik
FedML
169
463
0
11 Nov 2015
Bidirectional LSTM-CRF Models for Sequence Tagging
Bidirectional LSTM-CRF Models for Sequence Tagging
Zhiheng Huang
Wenyuan Xu
Kai Yu
184
4,033
0
09 Aug 2015
Bayesian representation learning with oracle constraints
Bayesian representation learning with oracle constraints
Theofanis Karaletsos
Serge J. Belongie
Gunnar Rätsch
BDL
73
92
0
16 Jun 2015
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic
Stephen H. Bach
Matthias Broecheler
Bert Huang
Lise Getoor
TPMAI4CE
118
387
0
17 May 2015
Deep Convolutional Inverse Graphics Network
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni
William F. Whitney
Pushmeet Kohli
J. Tenenbaum
DRLBDL
103
929
0
11 Mar 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
364
19,733
0
09 Mar 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
171
3,274
0
05 Dec 2014
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
129
1,965
0
26 Nov 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
578
27,327
0
01 Sep 2014
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILawVLM
639
13,432
0
25 Aug 2014
Distributed Representations of Sentences and Documents
Distributed Representations of Sentences and Documents
Quoc V. Le
Tomas Mikolov
FaML
259
9,247
0
16 May 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
282
14,963
1
21 Dec 2013
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
402
33,560
0
16 Oct 2013
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
163
6,632
0
22 Dec 2012
Bayesian Inference with Posterior Regularization and applications to
  Infinite Latent SVMs
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs
Jun Zhu
Ning Chen
Eric Xing
BDL
105
159
0
05 Oct 2012
Natural Language Processing (almost) from Scratch
Natural Language Processing (almost) from Scratch
R. Collobert
Jason Weston
Léon Bottou
Michael Karlen
Koray Kavukcuoglu
Pavel P. Kuksa
203
7,728
0
02 Mar 2011
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