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2108.07594
Cited By
Coalesced Multi-Output Tsetlin Machines with Clause Sharing
17 August 2021
Sondre Glimsdal
Ole-Christoffer Granmo
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Papers citing
"Coalesced Multi-Output Tsetlin Machines with Clause Sharing"
26 / 26 papers shown
Title
Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings
Ahmed K. Kadhim
Lei Jiao
Rishad Shafik
Ole-Christoffer Granmo
DeLMO
146
0
0
31 Jan 2025
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
Bimal Bhattarai
Ole-Christoffer Granmo
Lei Jiao
41
37
0
19 May 2021
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines
Bimal Bhattarai
Ole-Christoffer Granmo
Lei Jiao
66
20
0
10 May 2021
Low-Power Audio Keyword Spotting using Tsetlin Machines
Jie Lei
Tousif Rahman
Rishad Shafik
A. Wheeldon
Alex Yakovlev
Ole-Christoffer Granmo
F. Kawsar
Akhil Mathur
49
40
0
27 Jan 2021
On the Convergence of Tsetlin Machines for the XOR Operator
Lei Jiao
Xuan Zhang
Ole-Christoffer Granmo
Kuruge Darshana Abeyrathna
52
31
0
07 Jan 2021
Low-Latency Asynchronous Logic Design for Inference at the Edge
A. Wheeldon
Alex Yakovlev
Rishad Shafik
Jordan Morris
31
13
0
07 Dec 2020
Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier
Bimal Bhattarai
Ole-Christoffer Granmo
Lei Jiao
57
32
0
17 Nov 2020
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
Kuruge Darshana Abeyrathna
Bimal Bhattarai
Morten Goodwin
S. Gorji
Ole-Christoffer Granmo
Lei Jiao
Rupsa Saha
Rohan Kumar Yadav
LRM
37
37
0
10 Sep 2020
StructureBoost: Efficient Gradient Boosting for Structured Categorical Variables
B. Lucena
23
4
0
08 Jul 2020
A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning
Kuruge Darshana Abeyrathna
Ole-Christoffer Granmo
Rishad Shafik
Alex Yakovlev
A. Wheeldon
Jie Lei
Morten Goodwin
AI4CE
40
16
0
04 Jul 2020
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability
Kuruge Darshana Abeyrathna
Ole-Christoffer Granmo
Morten Goodwin
46
39
0
11 May 2020
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal
Levi Melnick
Nicholas Frosst
Xuezhou Zhang
Ben Lengerich
R. Caruana
Geoffrey E. Hinton
79
417
0
29 Apr 2020
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing
S. Gorji
Ole-Christoffer Granmo
Sondre Glimsdal
J. Edwards
M. G. Olsen
AI4CE
16
15
0
07 Apr 2020
InterpretML: A Unified Framework for Machine Learning Interpretability
Harsha Nori
Samuel Jenkins
Paul Koch
R. Caruana
AI4CE
147
487
0
19 Sep 2019
A Tsetlin Machine with Multigranular Clauses
S. Gorji
Ole-Christoffer Granmo
Adrian Phoulady
M. G. Olsen
28
22
0
16 Sep 2019
The Convolutional Tsetlin Machine
Ole-Christoffer Granmo
Sondre Glimsdal
Lei Jiao
M. G. Olsen
C. Omlin
G. T. Berge
37
81
0
23 May 2019
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL
Corey Lammie
Wei Xiang
M. R. Azghadi
BDL
13
9
0
15 May 2019
Learning Logistic Circuits
Yitao Liang
Guy Van den Broeck
TPM
46
49
0
27 Feb 2019
Deep Learning for Classical Japanese Literature
Tarin Clanuwat
Mikel Bober-Irizar
A. Kitamoto
Alex Lamb
Kazuaki Yamamoto
David R Ha
100
709
0
03 Dec 2018
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications
G. T. Berge
Ole-Christoffer Granmo
Tor Tveit
Morten Goodwin
Lei Jiao
B. Matheussen
VLM
49
75
0
12 Sep 2018
The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic
Ole-Christoffer Granmo
38
150
0
04 Apr 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
280
8,878
0
25 Aug 2017
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
21,864
0
22 May 2017
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
787
38,735
0
09 Mar 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
206
2,985
0
02 Nov 2015
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