世界模型 - arXivDaily 专题

2106.09424 2021-06-18 cs.LG cs.AI 50%

Interpretable Machine Learning Classifiers for Brain Tumour Survival Prediction

Colleen E. Charlton, Michael Tin Chung Poon, Paul M. Brennan, Jacques D. Fleuriot

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2106.08492 2021-06-17 cs.LG cs.AI 50%

Developing a Fidelity Evaluation Approach for Interpretable Machine Learning

Mythreyi Velmurugan, Chun Ouyang, Catarina Moreira, Renuka Sindhgatta

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2105.14815 2021-06-01 cs.CL cs.AI cs.HC cs.LG 50%

Supporting Cognitive and Emotional Empathic Writing of Students

Thiemo Wambsganss, Christina Niklaus, Matthias Söllner, Siegfried Handschuh, Jan Marco Leimeister

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments to be published in The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)

2007.05443 2021-04-13 cs.CY cs.AI cs.LG 50%

Algorithmic Fairness in Education

René F. Kizilcec, Hansol Lee

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments Forthcoming in W. Holmes & K. Porayska-Pomsta (Eds.), Ethics in Artificial Intelligence in Education, Taylor & Francis

2102.02502 2021-04-06 cs.CV 50%

3D Surface Reconstruction From Multi-Date Satellite Images

Sebastian Bullinger, Christoph Bodensteiner, Michael Arens

专题命中通用世界模型：environment model(abstract)；分类 cs.CV

Comments Accepted at ISPRS Congress 2021

2012.09078 2021-03-24 astro-ph.SR physics.space-ph 50%

Energetic Proton Propagation and Acceleration Simulated for the Bastille Day Event of July 14, 2000

Matthew A. Young, Nathan A. Schwadron, Matthew Gorby, Jon Linker, Ronald M. Caplan, Cooper Downs, Tibor Török, Pete Riley, Roberto Lionello, Viacheslav Titov, Richard A. Mewaldt, Christina M. S. Cohen

专题命中通用世界模型：environment model(abstract)；simulation model(abstract)

Comments 18 pages; 9 figures

2012.10923 2021-03-04 cs.LG cs.AI stat.ML 50%

Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration

Christian Tomani, Florian Buettner

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments In Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-2021). Code available at https://github.com/tochris/falcon

2012.10787 2021-02-15 eess.IV cs.CV cs.LG 50%

Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays

Rishab Khincha, Soundarya Krishnan, Tirtharaj Dash, Lovekesh Vig, Ashwin Srinivasan

专题命中通用世界模型：分类 cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

2005.02231 2021-02-11 cs.CV cs.LG 50%

Self-Training with Improved Regularization for Sample-Efficient Chest X-Ray Classification

Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap

专题命中通用世界模型：分类 cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

2101.12476 2021-02-01 cs.LG cs.AI cs.CY 50%

Beyond traditional assumptions in fair machine learning

Niki Kilbertus

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments PhD Thesis submitted at the University of Cambridge, October 2020. The thesis is based on a number of previous works also available on arxiv (see Chapter 1)

2101.11702 2021-01-29 cs.LG cs.AI cs.CR 50%

Better sampling in explanation methods can prevent dieselgate-like deception

Domen Vreš, Marko Robnik Šikonja

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2008.03696 2021-01-12 cs.CV 50%

Radar-based Dynamic Occupancy Grid Mapping and Object Detection

Christopher Diehl, Eduard Feicho, Alexander Schwambach, Thomas Dammeier, Eric Mares, Torsten Bertram

专题命中通用世界模型：environment model(abstract)；分类 cs.CV

Comments Accepted to be published as part of the 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, September 20-23, 2020

2007.12780 2021-01-07 cs.LG cs.AI cs.CY 50%

A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records

Parthasarathy Suryanarayanan, Bhavani Iyer, Prithwish Chakraborty, Bibo Hao, Italo Buleje, Piyush Madan, James Codella, Antonio Foncubierta, Divya Pathak, Sarah Miller, Amol Rajmane, Shannon Harrer, Gigi Yuan-Reed, Daby Sow

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments Presented at DSHealth 2020 KDD Workshop on Applied Data Science for Healthcare

2012.14106 2020-12-29 eess.IV cs.CV cs.LG 50%

Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications

Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder C. R. Oliveira, Svetlana Yanushkevich, Konstantinos N. Plataniotis

专题命中通用世界模型：分类 cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

2012.10020 2020-12-21 cs.LG cs.AI 50%

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders

Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Jimeng Sun

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2012.08196 2020-12-16 cs.LG cs.AI stat.ML 50%

Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions

Yifeng Guo, Yu Su, Zebin Yang, Aijun Zhang

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2012.04218 2020-12-09 cs.AI cs.LG 50%

Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach

Mythreyi Velmurugan, Chun Ouyang, Catarina Moreira, Renuka Sindhgatta

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2012.02811 2020-12-08 cs.GT cs.AI cs.MA 50%

Modeling Voters in Multi-Winner Approval Voting

Jaelle Scheuerman, Jason Harman, Nicholas Mattei, K. Brent Venable

专题命中通用世界模型：分类 cs.AI、cs.MA；predictive model(abstract)；predictive models(abstract)

Comments 9 pages, 4 figures. To be published in the Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021

2011.14370 2020-12-01 cs.LG cs.CV cs.HC eess.IV 50%

A smartphone based multi input workflow for non-invasive estimation of haemoglobin levels using machine learning techniques

Sarah, S. Sidhartha Narayan, Irfaan Arif, Hrithwik Shalu, Juned Kadiwala

专题命中通用世界模型：分类 cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

2011.09192 2020-11-19 cs.AI cs.GT cs.MA 50%

Game Plan: What AI can do for Football, and What Football can do for AI

Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adria Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Perolat, Bart De Vylder, Ali Eslami, Mark Rowland, Andrew Jaegle, Remi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis

专题命中通用世界模型：分类 cs.AI、cs.MA；predictive model(abstract)；predictive models(abstract)

2011.05657 2020-11-12 cs.RO eess.SP 50%

LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association*

Martin Herrmann, Aldi Piroli, Jan Strohbeck, Johannes Müller, Michael Buchholz

专题命中通用世界模型：environment model(abstract)；分类 cs.RO

Journal ref 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

2011.05537 2020-11-12 cs.LG cs.AI cs.CR cs.CY 50%

Differentially Private Synthetic Data: Applied Evaluations and Enhancements

Lucas Rosenblatt, Xiaoyan Liu, Samira Pouyanfar, Eduardo de Leon, Anuj Desai, Joshua Allen

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments Under Review

2008.01635 2020-11-10 eess.IV cs.CV 50%

Land Use and Land Cover Classification using a Human Group based Particle Swarm Optimization Algorithm with a LSTM classifier on hybrid-pre-processing Remote Sensing Images

R. Ganesh Babu, K. Uma Maheswari, C. Zarro, B. D. Parameshachari, S. L. Ullo

专题命中通用世界模型：environment model(abstract)；分类 cs.CV

Comments 21 pages, 11 figures, submitted to the Special Issue Multimedia Vision and Machine Learning for Remote Sensing di MDPI Remote Sensing (in review)

2003.11696 2020-11-03 cs.LG cs.RO stat.ML 50%

CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context

Wenyu Zhang, Skyler Seto, Devesh K. Jha

专题命中通用世界模型：分类 cs.LG、cs.RO；predictive model(abstract)；predictive models(abstract)

Comments Accepted at IROS 2020

2010.15594 2020-10-30 cs.LG cs.AI eess.IV math.FA q-bio.NC 50%

Shared Space Transfer Learning for analyzing multi-site fMRI data

Muhammad Yousefnezhad, Alessandro Selvitella, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada. The Supplementary Material: NeurIPS2020_Paper4157_SuppMat.zip" target="_blank" rel="noopener">https://www.yousefnezhad.com/publications/NeurIPS2020_Paper4157_SuppMat.zip

1811.12823 2020-10-29 cs.LG cs.AI cs.DB stat.ML 50%

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

Daniil Polykovskiy, Alexander Zhebrak, Benjamin Sanchez-Lengeling, Sergey Golovanov, Oktai Tatanov, Stanislav Belyaev, Rauf Kurbanov, Aleksey Artamonov, Vladimir Aladinskiy, Mark Veselov, Artur Kadurin, Simon Johansson, Hongming Chen, Sergey Nikolenko, Alan Aspuru-Guzik, Alex Zhavoronkov

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2010.09851 2020-10-21 stat.ML cs.AI cs.LG 50%

Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference

Disi Ji, Padhraic Smyth, Mark Steyvers

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments 27 pages

2010.06866 2020-10-20 cs.LG cs.CV stat.ML 50%

Deep Ensembles for Low-Data Transfer Learning

Basil Mustafa, Carlos Riquelme, Joan Puigcerver, André Susano Pinto, Daniel Keysers, Neil Houlsby

专题命中通用世界模型：分类 cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

2010.08186 2020-10-19 cs.CV cs.AI cs.LG stat.AP 50%

How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring

Saleh Shahinfar, Paul Meek, Greg Falzon

专题命中通用世界模型：分类 cs.AI、cs.LG、cs.CV；predictive model(abstract)

Journal ref Ecological Informatics, 2020, 57:101085

2010.07359 2020-10-16 cs.LG cs.AI 50%

Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models

Nalinda Kulathunga, Nishath Rajiv Ranasinghe, Daniel Vrinceanu, Zackary Kinsman, Lei Huang, Yunjiao Wang

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments 10 pages

1. 通用世界模型 4335 篇

Interpretable Machine Learning Classifiers for Brain Tumour Survival Prediction

Developing a Fidelity Evaluation Approach for Interpretable Machine Learning

Supporting Cognitive and Emotional Empathic Writing of Students

Algorithmic Fairness in Education

3D Surface Reconstruction From Multi-Date Satellite Images

Energetic Proton Propagation and Acceleration Simulated for the Bastille Day Event of July 14, 2000

Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration

Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays

Self-Training with Improved Regularization for Sample-Efficient Chest X-Ray Classification

Beyond traditional assumptions in fair machine learning

Better sampling in explanation methods can prevent dieselgate-like deception

Radar-based Dynamic Occupancy Grid Mapping and Object Detection

A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records

Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders

Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions

Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach

Modeling Voters in Multi-Winner Approval Voting

A smartphone based multi input workflow for non-invasive estimation of haemoglobin levels using machine learning techniques

Game Plan: What AI can do for Football, and What Football can do for AI

LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association*

Differentially Private Synthetic Data: Applied Evaluations and Enhancements

Land Use and Land Cover Classification using a Human Group based Particle Swarm Optimization Algorithm with a LSTM classifier on hybrid-pre-processing Remote Sensing Images

CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context

Shared Space Transfer Learning for analyzing multi-site fMRI data

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference

Deep Ensembles for Low-Data Transfer Learning

How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring

Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models