世界模型 - arXivDaily 专题

1908.08873 2019-08-26 eess.IV cs.CV cs.LG 50%

Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images

Jaynal Abedin, Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E O'Connor, Dietrich Rebholz-Schuhmann, John Newell

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

Comments Published in Nature Scientific Reports, 2019

Journal ref Scientific reports 9, no. 1 (2019): 5761

1908.08019 2019-08-22 cs.NE cs.AI cs.LG 50%

Spiking Neural Networks and Online Learning: An Overview and Perspectives

Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola Kasabov

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

1905.09397 2019-06-21 cs.LG cs.AI stat.ML 50%

Cognitive Model Priors for Predicting Human Decisions

David D. Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell

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

Comments ICML 2019

Journal ref Proceedings of the 36th International Conference on Machine Learning, PMLR 97:5133-5141, 2019

1809.07806 2019-06-17 stat.ML cs.AI cs.LG 50%

Understanding Behavior of Clinical Models under Domain Shifts

Jayaraman J. Thiagarajan, Deepta Rajan, Prasanna Sattigeri

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

1809.06219 2019-06-06 cs.CV cs.LG stat.ML 50%

Ensemble learning with 3D convolutional neural networks for connectome-based prediction

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

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

Comments 45 pages, 9 figures, 4 supplementary figures (To appear in Neuroimage)

1811.10990 2019-05-16 cs.CL cs.AI cs.LG stat.ML 50%

Generating Responses Expressing Emotion in an Open-domain Dialogue System

Chenyang Huang, Osmar R. Zaïane

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

1905.04610 2019-05-14 cs.LG cs.AI stat.ML 50%

Explainable AI for Trees: From Local Explanations to Global Understanding

Scott M. Lundberg, Gabriel Erion, Hugh Chen, Alex DeGrave, Jordan M. Prutkin, Bala Nair, Ronit Katz, Jonathan Himmelfarb, Nisha Bansal, Su-In Lee

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

1904.11454 2019-04-26 cs.AI cs.LO math.OC 50%

Reward-Based Deception with Cognitive Bias

Bo Wu, Murat Cubuktepe, Suda Bharadwaj, Ufuk Topcu

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

Comments Submitted to CDC 2019

1903.11210 2019-03-29 cs.CV cs.LG eess.IV 50%

Colorectal cancer diagnosis from histology images: A comparative study

Junaid Malik, Serkan Kiranyaz, Suchitra Kunhoth, Turker Ince, Somaya Al-Maadeed, Ridha Hamila, Moncef Gabbouj

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

1903.06047 2019-03-15 cs.LG cs.AI cs.HC stat.ML 50%

Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration

Rohan Paleja, Matthew Gombolay

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

Comments 8 Pages, 7 figures

1805.10863 2019-01-17 cs.LG cs.CV stat.ML 50%

Distributed Weight Consolidation: A Brain Segmentation Case Study

Patrick McClure, Charles Y. Zheng, Jakub R. Kaczmarzyk, John A. Lee, Satrajit S. Ghosh, Dylan Nielson, Peter Bandettini, Francisco Pereira

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

Comments Published in NeurIPS 2018

1812.00843 2018-12-04 cs.AI cs.LG 50%

Early Prediction of Course Grades: Models and Feature Selection

Hengxuan Li, Collin F. Lynch, Tiffany Barnes

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

Journal ref The Proceedings of the 11th International Conference on Educational Data Mining (EDM 2018). 492-495

1809.05504 2018-11-22 cs.LG cs.AI stat.ML 50%

Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization

Bryan Wilder, Bistra Dilkina, Milind Tambe

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

Comments Full version of paper accepted at AAAI 2019

1809.01906 2018-11-21 cs.LG stat.ML 50%

Model-Based Regularization for Deep Reinforcement Learning with Transcoder Networks

Felix Leibfried, Peter Vrancx

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

Comments Presented at the NIPS Deep Reinforcement Learning Workshop, Montreal, Canada, 2018

1811.07155 2018-11-20 cs.AI cs.LG 50%

Monotonic classification: an overview on algorithms, performance measures and data sets

José-Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michał Woźniak, Salvador García

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

1806.01267 2018-10-16 cs.LG cs.AI cs.RO stat.ML 50%

Internal Model from Observations for Reward Shaping

Daiki Kimura, Subhajit Chaudhury, Ryuki Tachibana, Sakyasingha Dasgupta

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

Comments 7 pages, 6 figures, ICML workshop (ALA 2018)

1810.05057 2018-10-12 cs.AI cs.LG cs.RO stat.ML 50%

Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects

Nicolas Le Hir, Olivier Sigaud, Alban Laflaquière

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

Comments 24 pages, 10 figures, published in Frontiers Robotics and AI

Journal ref Front. Robot. AI, 25 June 2018

1810.03466 2018-10-10 cs.LG cs.AI q-fin.RM 50%

Wide and Deep Learning for Peer-to-Peer Lending

Kaveh Bastani, Elham Asgari, Hamed Namavari

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

1810.01871 2018-10-05 cs.LG cs.AI cs.RO stat.ML 50%

Grounding the Experience of a Visual Field through Sensorimotor Contingencies

Alban Laflaquière

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

Comments 23 pages, 7 figures, published in Neurocomputing

Journal ref Neurocomputing, Volume 268, 13 December 2017, Pages 142-152

1809.10889 2018-10-01 cs.LG cs.AI stat.ML 50%

HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting

Zheyi Pan, Yuxuan Liang, Junbo Zhang, Xiuwen Yi, Yong Yu, Yu Zheng

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

1809.08993 2018-09-28 cs.CV 50%

Improved Semantic Stixels via Multimodal Sensor Fusion

Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Marius Zöllner

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

1711.10907 2018-07-30 cs.AI cs.LG stat.ML 50%

Deep Reinforcement Learning for De-Novo Drug Design

Mariya Popova, Olexandr Isayev, Alexander Tropsha

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

Journal ref Science Advances, 2018, vol. 4, no. 7, eaap7885

1807.06228 2018-07-18 cs.LG cs.AI cs.HC stat.ML 50%

RuleMatrix: Visualizing and Understanding Classifiers with Rules

Yao Ming, Huamin Qu, Enrico Bertini

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

Comments Accepted by IEEE Conference of Visual Analytics Science and Technology 2018

1702.06253 2018-06-27 cs.SI cs.AI cs.HC cs.MA 50%

Player Skill Decomposition in Multiplayer Online Battle Arenas

Zhengxing Chen, Yizhou Sun, Magy Seif El-nasr, Truong-Huy D. Nguyen

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

Comments 2016 Meaningful Play Conference

1806.06926 2018-06-20 cs.LG cs.CV cs.NE stat.ML 50%

Understanding Patch-Based Learning by Explaining Predictions

Christopher Anders, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller

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

Comments 7 pages, 6 figures

1806.03256 2018-06-11 cs.CY cs.AI cs.LG 50%

Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction

Chun-kit Yeung, Zizheng Lin, Kai Yang, Dit-yan Yeung

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; Career prediction; Knowledge tracing; Machine learning

1806.02426 2018-06-08 cs.LG stat.ML 50%

Deep Variational Reinforcement Learning for POMDPs

Maximilian Igl, Luisa Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson

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

1805.08986 2018-05-24 cs.RO 50%

Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs

Nico Engel, Stefan Hoermann, Philipp Henzler, Klaus Dietmayer

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

1805.06879 2018-05-18 cs.CL cs.AI cs.CY cs.LG stat.ML 50%

Neural language representations predict outcomes of scientific research

James P. Bagrow, Daniel Berenberg, Joshua Bongard

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

Comments 8 pages, 3 figures, plus supporting material

1803.09984 2018-03-28 cs.LG cs.CR cs.DC cs.MA stat.ML 50%

Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries

Pierre Dellenbach, Aurélien Bellet, Jan Ramon

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

Comments 17 pages

1. 通用世界模型 4335 篇

Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images

Spiking Neural Networks and Online Learning: An Overview and Perspectives

Cognitive Model Priors for Predicting Human Decisions

Understanding Behavior of Clinical Models under Domain Shifts

Ensemble learning with 3D convolutional neural networks for connectome-based prediction

Generating Responses Expressing Emotion in an Open-domain Dialogue System

Explainable AI for Trees: From Local Explanations to Global Understanding

Reward-Based Deception with Cognitive Bias

Colorectal cancer diagnosis from histology images: A comparative study

Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration

Distributed Weight Consolidation: A Brain Segmentation Case Study

Early Prediction of Course Grades: Models and Feature Selection

Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization

Model-Based Regularization for Deep Reinforcement Learning with Transcoder Networks

Monotonic classification: an overview on algorithms, performance measures and data sets

Internal Model from Observations for Reward Shaping

Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects

Wide and Deep Learning for Peer-to-Peer Lending

Grounding the Experience of a Visual Field through Sensorimotor Contingencies

HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting

Improved Semantic Stixels via Multimodal Sensor Fusion

Deep Reinforcement Learning for De-Novo Drug Design

RuleMatrix: Visualizing and Understanding Classifiers with Rules

Player Skill Decomposition in Multiplayer Online Battle Arenas

Understanding Patch-Based Learning by Explaining Predictions

Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction

Deep Variational Reinforcement Learning for POMDPs

Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs

Neural language representations predict outcomes of scientific research

Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries