Morten Goodwin

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All published works

Action	Title	Year	Authors
+ PDF Chat	Maximum Manifold Capacity Representations in State Representation Learning	2024	Li Meng Morten Goodwin Anis Yazidi Paal Engelstad
+ PDF Chat	Deep Reinforcement Learning with Swin Transformers	2024	Li Meng Morten Goodwin Anis Yazidi Paal Engelstad
+ PDF Chat	A Manifold Representation of the Key in Vision Transformers	2024	Li Meng Morten Goodwin Anis Yazidi Paal Engelstad
+ PDF Chat	A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems	2023	Karl Audun Kagnes Borgersen Morten Goodwin Jivitesh Sharma
+ PDF Chat	A contrastive learning approach for individual re-identification in a wild fish population	2023	Ørjan Langøy Olsen Tonje Knutsen Sørdalen Morten Goodwin Ketil Malde Kristian Muri Knausgård Kim Tallaksen Halvorsen
+	A contrastive learning approach for individual re-identification in a wild fish population	2023	Ørjan Langøy Olsen Tonje Knutsen Sørdalen Morten Goodwin Ketil Malde Kristian Muri Knausgård Kim Tallaksen Halvorsen
+	Unsupervised Representation Learning in Partially Observable Atari Games	2023	Meng Li Morten Goodwin Anis Yazidi Paal Engelstad
+	A Contrastive Learning Scheme with Transformer Innate Patches	2023	Sander Riisøen Jyhne Per‐Arne Andersen Morten Goodwin
+	Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning	2023	Martin Holen Per‐Arne Andersen Kristian Muri Knausgård Morten Goodwin
+	State Representation Learning Using an Unbalanced Atlas	2023	Li Meng Morten Goodwin Anis Yazidi Paal Engelstad
+	CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric	2023	Karl Audun Kagnes Borgersen Morten Goodwin Jivitesh Sharma Tobias Aasmoe Mari Hovem Leonhardsen Gro Herredsvela Rørvik
+	DeNISE: Deep Networks for Improved Segmentation Edges	2023	Sander Riisøen Jyhne Per‐Arne Andersen Morten Goodwin
+	Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders	2023	Daniel Biermann Fabrizio Palumbo Morten Goodwin Ole‐Christoffer Granmo
+ PDF Chat	MapAI: Precision in Building Segmentation	2022	Sander Jyhne Morten Goodwin Per‐Arne Andersen Ivar Oveland Alexander Salveson Nossum Mathilde Ørstavik Karianne Ormseth Andrew Flatman
+ PDF Chat	CaiRL: A High-Performance Reinforcement Learning Environment Toolkit	2022	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+ PDF Chat	Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization	2022	Ahmed Abouzeid Ole‐Christoffer Granmo Christian Webersik Morten Goodwin
+ PDF Chat	Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise	2022	Li Meng Morten Goodwin Anis Yazidi Paal Engelstad
+ PDF Chat	Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples	2022	Li Meng Anis Yazidi Morten Goodwin Paal Engelstad
+	Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization	2022	Ahmed Abouzeid Ole‐Christoffer Granmo Christian Webersik Morten Goodwin
+	Deep Reinforcement Learning with Swin Transformers	2022	Meng Li Morten Goodwin Anis Yazidi Paal Engelstad
+ PDF Chat	Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook	2021	Morten Goodwin Kim Tallaksen Halvorsen Lei Jiao Kristian Muri Knausgård Angela Helen Martin Marta Moyano Rebekah A. Oomen Jeppe Have Rasmussen Tonje Knutsen Sørdalen Susanna Huneide Thorbjørnsen
+	Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook	2021	Morten Goodwin Kim Tallaksen Halvorsen Lei Jiao Kristian Muri Knausgård Angela Helen Martin Marta Moyano Rebekah A. Oomen Jeppe Have Rasmussen Tonje Knutsen Sørdalen Susanna Huneide Thorbjørnsen
+	Expert Q-learning: Deep Q-learning With State Values From Expert Examples	2021	Meng Li Anis Yazidi Morten Goodwin Paal Engelstad
+ PDF Chat	On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators	2021	Xuan Zhang Lei Jiao Ole‐Christoffer Granmo Morten Goodwin
+	Distributed Word Representation in Tsetlin Machine.	2021	Rohan Kumar Yadav Lei Jiao Ole‐Christoffer Granmo Morten Goodwin
+ PDF Chat	Improving Prostate Whole Gland Segmentation In T2-Weighted MRI With Synthetically Generated Data	2021	Álvaro Fernández-Quilez Steinar Valle Larsen Morten Goodwin Thor Ole Gulsrud Svein Reidar Kjosavik Ketil Oppedal
+ PDF Chat	Temperate fish detection and classification: a deep learning based approach	2021	Kristian Muri Knausgård Arne Wiklund Tonje Knutsen Sørdalen Kim Tallaksen Halvorsen Alf Ring Kleiven Lei Jiao Morten Goodwin
+ PDF Chat	Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability	2021	K. Darshana Abeyrathna Ole‐Christoffer Granmo Morten Goodwin
+ PDF Chat	Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders	2021	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+	Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI	2021	Álvaro Fernández-Quilez Trygve Eftestøl Morten Goodwin Svein Reidar Kjosavik Ketil Oppedal
+	Enhancing Interpretable Clauses Semantically using Pretrained Word Representation	2021	Rohan Kumar Yadav Lei Jiao Ole‐Christoffer Granmo Morten Goodwin
+	Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook	2021	Morten Goodwin Kim Tallaksen Halvorsen Lei Jiao Kristian Muri Knausgård Angela Helen Martin Marta Moyano Rebekah A. Oomen Jeppe Have Rasmussen Tonje Knutsen Sørdalen Susanna Huneide Thorbjørnsen
+	Enhancing Interpretable Clauses Semantically using Pretrained Word Representation	2021	Rohan Kumar Yadav Lei Jiao Ole‐Christoffer Granmo Morten Goodwin
+	A Relational Tsetlin Machine with Applications to Natural Language Understanding	2021	Rupsa Saha Ole‐Christoffer Granmo Vladimir Zadorozhny Morten Goodwin
+ PDF Chat	Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network	2020	Jivitesh Sharma Ole‐Christoffer Granmo Morten Goodwin
+	A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning	2020	K. Darshana Abeyrathna Ole‐Christoffer Granmo Rishad Shafik Alex Yakovlev Adrian Wheeldon Jie Lei Morten Goodwin
+	Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability	2020	K. Darshana Abeyrathna Ole‐Christoffer Granmo Morten Goodwin
+	Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing	2020	Saeed Rahimi Gorji Ole‐Christoffer Granmo Sondre Glimsdal Jonathan Edwards Morten Goodwin
+ PDF Chat	Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment	2020	Jivitesh Sharma Per‐Arne Andersen Ole‐Christoffer Granmo Morten Goodwin
+	A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation	2020	K. Darshana Abeyrathna Ole‐Christoffer Granmo Morten Goodwin
+	Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling	2020	K. Darshana Abeyrathna Bimal Bhattarai Morten Goodwin Saeed Rahimi Gorji Ole‐Christoffer Granmo Lei Jiao Rupsa Saha Rohan Kumar Yadav
+ PDF Chat	Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing	2020	Saeed Rahimi Gorji Ole‐Christoffer Granmo Sondre Glimsdal Jonathan Edwards Morten Goodwin
+ PDF Chat	CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning	2020	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+ PDF Chat	A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning	2020	K. Darshana Abeyrathna Ole‐Christoffer Granmo Rishad Shafik Alex Yakovlev Adrian Wheeldon Jie Lei Morten Goodwin
+	Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing	2020	Rahimi Gorji Saeed Granmo Ole-Christoffer Sondre Glimsdal Edwards Jonathan Morten Goodwin
+	A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning	2020	K. Darshana Abeyrathna Ole‐Christoffer Granmo Rishad Shafik Alex Yakovlev Adrian Wheeldon Jie Lei Morten Goodwin
+	Temperate Fish Detection and Classification: a Deep Learning based Approach	2020	Kristian Muri Knausgård Arne Wiklund Tonje Knutsen Sørdalen Kim Tallaksen Halvorsen Alf Ring Kleiven Lei Jiao Morten Goodwin
+	Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability	2020	K. Darshana Abeyrathna Ole‐Christoffer Granmo Morten Goodwin
+	A Tsetlin Machine with Multigranular Clauses	2019	Saeed Rahimi Gorji Ole‐Christoffer Granmo Adrian Phoulady Morten Goodwin
+	Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks	2019	Jivitesh Sharma Ole‐Christoffer Granmo Morten Goodwin
+	Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network	2019	Jivitesh Sharma Ole‐Christoffer Granmo Morten Goodwin
+	Towards Model-based Reinforcement Learning for Industry-near Environments	2019	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+	Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment	2019	Jivitesh Sharma Per‐Arne Andersen Ole-Chrisoffer Granmo Morten Goodwin
+	A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks	2019	K. Darshana Abeyrathna Ole‐Christoffer Granmo Xuan Zhang Morten Goodwin
+	The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems	2019	K. Darshana Abeyrathna Ole‐Christoffer Granmo Lei Jiao Morten Goodwin
+	Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation	2019	Erlend Olsvik Christian M. D. Trinh Kristian Muri Knausgård Arne Wiklund Tonje Knutsen Sørdalen Alf Ring Kleiven Lei Jiao Morten Goodwin
+ PDF Chat	Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation	2019	Erlend Olsvik Christian M. D. Trinh Kristian Muri Knausgård Arne Wiklund Tonje Knutsen Sørdalen Alf Ring Kleiven Lei Jiao Morten Goodwin
+	The Convolutional Tsetlin Machine	2019	Ole‐Christoffer Granmo Sondre Glimsdal Lei Jiao Morten Goodwin Christian W. Omlin Geir Thore Berge
+ PDF Chat	A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks	2019	K. Darshana Abeyrathna Ole‐Christoffer Granmo Xuan Zhang Morten Goodwin
+	A Neural Turing~Machine for Conditional Transition Graph Modeling	2019	Mehdi Ben Lazreg Morten Goodwin Ole‐Christoffer Granmo
+ PDF Chat	Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications	2019	Geir Thore Berge Ole‐Christoffer Granmo Tor Oddbjørn Tveit Morten Goodwin Lei Jiao Bernt Viggo Matheussen
+ PDF Chat	The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems	2019	K. Darshana Abeyrathna Ole‐Christoffer Granmo Lei Jiao Morten Goodwin
+ PDF Chat	A Tsetlin Machine with Multigranular Clauses	2019	Saeed Rahimi Gorji Ole‐Christoffer Granmo Adrian Phoulady Morten Goodwin
+ PDF Chat	Towards Model-Based Reinforcement Learning for Industry-Near Environments	2019	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+	Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment	2019	Jivitesh Sharma Per‐Arne Andersen Ole-Chrisoffer Granmo Morten Goodwin
+	The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems	2019	K. Darshana Abeyrathna Ole‐Christoffer Granmo Lei Jiao Morten Goodwin
+	Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation	2019	Erlend Olsvik Christian M. D. Trinh Kristian Muri Knausgård Arne Wiklund Tonje Knutsen Sørdalen Alf Ring Kleiven Lei Jiao Morten Goodwin
+	Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network	2019	Jivitesh Sharma Ole‐Christoffer Granmo Morten Goodwin
+	Towards Model-based Reinforcement Learning for Industry-near Environments	2019	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+	A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks	2019	K. Darshana Abeyrathna Ole‐Christoffer Granmo Xuan Zhang Morten Goodwin
+	A Tsetlin Machine with Multigranular Clauses	2019	Saeed Rahimi Gorji Ole‐Christoffer Granmo Adrian Phoulady Morten Goodwin
+	The Dreaming Variational Autoencoder for Reinforcement Learning Environments	2018	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+	Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications	2018	Geir Thore Berge Ole‐Christoffer Granmo Tor Oddbjørn Tveit Morten Goodwin Lei Jiao Bernt Viggo Matheussen
+	Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games	2018	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+	Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks	2018	K. Darshana Abeyrathna Ole‐Christoffer Granmo Morten Goodwin
+ PDF Chat	Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games	2018	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+	Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String Similarities.	2018	Mehdi Ben Lazreg Morten Goodwin
+	FlashRL: A Reinforcement Learning Platform for Flash Games	2018	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+ PDF Chat	The Dreaming Variational Autoencoder for Reinforcement Learning Environments	2018	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+	The Dreaming Variational Autoencoder for Reinforcement Learning Environments	2018	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+	Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications	2018	Geir Thore Berge Ole‐Christoffer Granmo Tor Oddbjørn Tveit Morten Goodwin Lei Jiao Bernt Viggo Matheussen
+	Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games	2018	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+	Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String Similarities	2018	Mehdi Ben Lazreg Morten Goodwin
+ PDF Chat	Towards a Deep Reinforcement Learning Approach for Tower Line Wars	2017	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+ PDF Chat	Towards a Deep Reinforcement Learning Approach for Tower Line Wars	2017	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+	FlashRL: A Reinforcement Learning Platform for Flash Games	2017	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo
+	Adaptive Task Assignment in Online Learning Environments	2016	Per‐Arne Andersen Christian Kråkevik Morten Goodwin Anis Yazidi
+ PDF Chat	Adaptive Task Assignment in Online Learning Environments	2016	Per‐Arne Andersen Christian Kråkevik Morten Goodwin Anis Yazidi
+	Adaptive Task Assignment in Online Learning Environments	2016	Per‐Arne Andersen Christian Kråkevik Morten Goodwin Anis Yazidi

Common Coauthors

Coauthor	Papers Together
Ole‐Christoffer Granmo	54
Per‐Arne Andersen	26
K. Darshana Abeyrathna	15
Lei Jiao	14
Kristian Muri Knausgård	11
Anis Yazidi	11
Tonje Knutsen Sørdalen	10
Jivitesh Sharma	9
Paal Engelstad	9
Kim Tallaksen Halvorsen	7
Saeed Rahimi Gorji	6
Lei Jiao	6
Arne Wiklund	5
Alf Ring Kleiven	5
Li Meng	4
Rohan Kumar Yadav	4
Sondre Glimsdal	4
Geir Thore Berge	4
Alex Yakovlev	3
Rishad Shafik	3
Adrian Wheeldon	3
Marta Moyano	3
Christian M. D. Trinh	3
Jie Lei	3
Christian Kråkevik	3
Tor Oddbjørn Tveit	3
Bernt Viggo Matheussen	3
Rebekah A. Oomen	3
Jeppe Have Rasmussen	3
Erlend Olsvik	3
Susanna Huneide Thorbjørnsen	3
Mehdi Ben Lazreg	3
Angela Helen Martin	3
Adrian Phoulady	3
Meng Li	2
Svein Reidar Kjosavik	2
Xuan Zhang	2
Li Meng	2
Karl Audun Kagnes Borgersen	2
Christian Webersik	2
Jonathan Edwards	2
Ketil Malde	2
Rupsa Saha	2
Ahmed Abouzeid	2
Ketil Oppedal	2
Álvaro Fernández-Quilez	2
Sander Riisøen Jyhne	2
Ole-Chrisoffer Granmo	2
Daniel Biermann	1
Sander Jyhne	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic	2018	Ole‐Christoffer Granmo	16
+ PDF Chat	Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications	2019	Geir Thore Berge Ole‐Christoffer Granmo Tor Oddbjørn Tveit Morten Goodwin Lei Jiao Bernt Viggo Matheussen	13
+ PDF Chat	A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks	2019	K. Darshana Abeyrathna Ole‐Christoffer Granmo Xuan Zhang Morten Goodwin	10
+	The Convolutional Tsetlin Machine	2019	Ole‐Christoffer Granmo Sondre Glimsdal Lei Jiao Morten Goodwin Christian W. Omlin Geir Thore Berge	9
+ PDF Chat	The Arcade Learning Environment: An Evaluation Platform for General Agents	2013	Marc G. Bellemare Yavar Naddaf Joel Veness Michael Bowling	6
+ PDF Chat	A Tsetlin Machine with Multigranular Clauses	2019	Saeed Rahimi Gorji Ole‐Christoffer Granmo Adrian Phoulady Morten Goodwin	6
+ PDF Chat	Deep Reinforcement Learning with Double Q-Learning	2016	Hado van Hasselt Arthur Guez David Silver	5
+	Dueling Network Architectures for Deep Reinforcement Learning	2015	Ziyu Wang Tom Schaul Matteo Hessel Hado van Hasselt Marc Lanctot Nando de Freitas	5
+	A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments	2008	B. John Oommen Sang‐Woon Kim Mathew Samuel Ole‐Christoffer Granmo	5
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	5
+ PDF Chat	Deep learning in neural networks: An overview	2014	Jürgen Schmidhuber	5
+ PDF Chat	The Dreaming Variational Autoencoder for Reinforcement Learning Environments	2018	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo	4
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	4
+	Playing Atari with Deep Reinforcement Learning	2013	Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller	4
+	InterpretML: A Unified Framework for Machine Learning Interpretability	2019	Harsha Nori Samuel Jenkins Paul Koch Rich Caruana	4
+ PDF Chat	Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games	2018	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo	4
+ PDF Chat	Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability	2021	K. Darshana Abeyrathna Ole‐Christoffer Granmo Morten Goodwin	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	3
+	StarCraft II: A New Challenge for Reinforcement Learning	2017	Oriol Vinyals Timo Ewalds Sergey Bartunov Petko Georgiev Alexander Sasha Vezhnevets Michelle Yeo Alireza Makhzani Heinrich Küttler John Agapiou Julian Schrittwieser	3
+ PDF Chat	Squeeze-and-Excitation Networks	2018	Jie Hu Li Shen Gang Sun	3
+	Recurrent World Models Facilitate Policy Evolution	2018	David Ha Jürgen Schmidhuber	3
+	Some aspects of the sequential design of experiments	1952	Herbert Robbins	3
+ PDF Chat	Temperate fish detection and classification: a deep learning based approach	2021	Kristian Muri Knausgård Arne Wiklund Tonje Knutsen Sørdalen Kim Tallaksen Halvorsen Alf Ring Kleiven Lei Jiao Morten Goodwin	3
+	Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier	2021	Bimal Bhattarai Ole‐Christoffer Granmo Lei Jiao	3
+ PDF Chat	Past, present and future approaches using computer vision for animal re‐identification from camera trap data	2018	Stefan Schneider Graham W. Taylor Stefan Linquist Stefan C. Kremer	3
+	Forecasting dengue incidence in Dhaka, Bangladesh: A time series analysis	2008	Malay Choudhury Shahera Banu Md. Amirul Islam	3
+ PDF Chat	Deep Reinforcement Learning: An Overview	2017	Seyed Sajad Mousavi Michael Schukat Enda Howley	3
+ PDF Chat	Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing	2020	Saeed Rahimi Gorji Ole‐Christoffer Granmo Sondre Glimsdal Jonathan Edwards Morten Goodwin	3
+	How transferable are features in deep neural networks	2014	Jason Yosinski Jeff Clune Yoshua Bengio Hod Lipson	3
+	A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks	2019	K. Darshana Abeyrathna Ole‐Christoffer Granmo Xuan Zhang Morten Goodwin	3
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	3
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	3
+ PDF Chat	Towards a Deep Reinforcement Learning Approach for Tower Line Wars	2017	Per‐Arne Andersen Morten Goodwin Ole‐Christoffer Granmo	3
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	3
+	Hybrid reward architecture for reinforcement learning	2017	Harm van Seijen Mehdi Fatemi Joshua Romoff Romain Laroche Tavian Barnes Jeffrey Tsang	3
+	Generative Adversarial Imitation Learning	2016	Jonathan Ho Stefano Ermon	3
+	YOLOv4: Optimal Speed and Accuracy of Object Detection	2020	Alexey Bochkovskiy Chien-Yao Wang Hong-Yuan Mark Liao	3
+	The Asymptotic Convergence-Rate of Q-learning	1997	Csaba Szepesvári	2
+	Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews	2014	Grégoire Mesnil Tomáš Mikolov Marc’Aurelio Ranzato Yoshua Bengio	2
+	Trust Region Policy Optimization	2015	John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel	2
+	Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales	2005	Bo Pang Lillian Lee	2
+ PDF Chat	Learning Logistic Circuits	2019	Yitao Liang Guy Van den Broeck	2
+	Billion-scale semi-supervised learning for image classification	2019	İsmet Zeki Yalnız Hervé Jeǵou Kan Chen Manohar Paluri Dhruv Mahajan	2
+	Target Transfer Q-Learning and Its Convergence Analysis	2018	Yue Wang Qi Meng Wei Cheng Yuting Liug Zhi-Ming Ma Tie‐Yan Liu	2
+	Recurrent World Models Facilitate Policy Evolution	2018	David Ha Jürgen Schmidhuber	2
+	Unity: A General Platform for Intelligent Agents	2018	Arthur Juliani Vincent-Pierre Berges Esh Vckay Yuan Gao Hunter Henry Marwan Mattar Danny B. Lange	2
+	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning	2016	Hoo-Chang Shin Holger R. Roth Mingchen Gao Le Lü Ziyue Xu Isabella Nogues Jianhua Yao Daniel J. Mollura Ronald M. Summers	2
+ PDF Chat	Beyond Sparsity: Tree Regularization of Deep Models for Interpretability	2018	Mike Wu Michael Hughes Sonali Parbhoo Maurizio Zazzi Volker Röth Finale Doshi‐Velez	2
+	Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews	2015	Bofang Li Tao Liu Xiaoyong Du Deyuan Zhang Zhe Zhao	2