AI Agent - arXivDaily 专题

2002.04911 2020-02-13 cs.LG cs.RO stat.ML 57%

Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data

Johannes A. Stork, Todor Stoyanov

专题命中工作流自动化：planning(abstract)；分类 cs.LG

2002.03485 2020-02-11 cs.LG stat.ML 57%

Evaluating Sequence-to-Sequence Learning Models for If-Then Program Synthesis

Dhairya Dalal, Byron V. Galbraith

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments AAAI IPA workshop submission

2002.02992 2020-02-11 cs.AI cs.NE 57%

Mario Level Generation From Mechanics Using Scene Stitching

Michael Cerny Green, Luvneesh Mugrai, Ahmed Khalifa, Julian Togelius

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments 10 pages, 7 figures, submitted to Foundations of Digital Games Conference

2002.01965 2020-02-07 cs.RO cs.LG 57%

Learning Probabilistic Intersection Traffic Models for Trajectory Prediction

Andrew Patterson, Aditya Gahlawat, Naira Hovakimyan

专题命中工作流自动化：autonomous agent(abstract)；分类 cs.LG

2001.10893 2020-01-30 cs.CR cs.LG stat.ML 57%

Privacy-Preserving Gaussian Process Regression -- A Modular Approach to the Application of Homomorphic Encryption

Peter Fenner, Edward O. Pyzer-Knapp

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

2001.08817 2020-01-27 cs.LG cs.CV eess.IV stat.ML 57%

Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning

Evan Schwab, André Gooßen, Hrishikesh Deshpande, Axel Saalbach

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments Accepted to International Symposium of Biomedical Imaging (ISBI) 2020

2001.08382 2020-01-24 cs.CV cs.LG eess.IV 57%

A Hypersensitive Breast Cancer Detector

Stefano Pedemonte, Brent Mombourquette, Alexis Goh, Trevor Tsue, Aaron Long, Sadanand Singh, Thomas Paul Matthews, Meet Shah, Jason Su

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments SPIE Medical Imaging 2020

1912.00167 2020-01-24 cs.LG stat.ML 57%

IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks

Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica

专题命中工作流自动化：agent(abstract)；分类 cs.LG

Comments ICLR 2020 Publication; 14 pages, 10 figures

1904.07594 2020-01-24 stat.ML cs.LG 57%

Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses

Fabien Lauer

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Journal ref 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), 2020, Palermo, Italy

2001.07869 2020-01-23 cs.SE 57%

CDST: A Toolkit for Testing Cockpit Display Systems of Avionics

Hassan Sartaj, Muhammad Zohaib Iqbal, Muhammad Uzair Khan

专题命中工作流自动化：workflow(abstract)；分类 cs.SE

2001.06846 2020-01-22 cs.DB cs.LG 57%

SQLFlow: A Bridge between SQL and Machine Learning

Yi Wang, Yang Yang, Weiguo Zhu, Yi Wu, Xu Yan, Yongfeng Liu, Yu Wang, Liang Xie, Ziyao Gao, Wenjing Zhu, Xiang Chen, Wei Yan, Mingjie Tang, Yuan Tang

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

1912.06723 2020-01-20 cs.LG cs.HC stat.ML 57%

AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates

Daniel Karl I. Weidele, Justin D. Weisz, Eno Oduor, Michael Muller, Josh Andres, Alexander Gray, Dakuo Wang

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments 5 pages, 1 figure, IUI2020

2001.05862 2020-01-17 cs.CV cs.LG stat.ML 57%

An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process

Siming Bayer, Ute Spiske, Jie Luo, Tobias Geimer, William M. Wells, Martin Ostermeier, Rebecca Fahrig, Arya Nabavi, Christoph Bert, Ilker Eyupoglo, Andreas Maier

专题命中工作流自动化：planning(abstract)；分类 cs.LG

2001.04418 2020-01-14 cs.AI 57%

Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning

Michiel van der Meer, Matteo Pirotta, Elia Bruni

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments 10 pages, 5 figures

2001.03877 2020-01-14 cs.LG stat.ML 57%

Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback

Binyamin Manela

专题命中工作流自动化：agent(abstract)；分类 cs.LG

Comments A thesis submitted in fulfillment of the requirements for the degree of Master of Science in the department of Industrial Engineering and Management at Ben-Gurion University of the Negev

1911.03655 2020-01-13 cs.LG 57%

DataSist: A Python-based library for easy data analysis, visualization and modeling

Rising Odegua, Festus Ikpotokin

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments 16 pages, 16 figures

2001.01577 2020-01-07 cs.AI 57%

Learning Reusable Options for Multi-Task Reinforcement Learning

Francisco M. Garcia, Chris Nota, Philip S. Thomas

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments 15 pages, 7 figures, pre-print

1810.02320 2020-01-01 cs.CV cs.AI 57%

Computer vision-based framework for extracting geological lineaments from optical remote sensing data

Ehsan Farahbakhsh, Rohitash Chandra, Hugo K. H. Olierook, Richard Scalzo, Chris Clark, Steven M. Reddy, R. Dietmar Muller

专题命中工作流自动化：workflow(abstract)；分类 cs.AI

Comments 17 pages, 10 figures, 2 tables

1912.12016 2019-12-30 cs.LG cs.SI stat.ML 57%

Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach

Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao

专题命中工作流自动化：agent(abstract)；分类 cs.LG

1912.10503 2019-12-24 eess.IV cs.LG stat.ML 57%

Rapid Whole-Heart CMR with Single Volume Super-resolution

Jennifer A. Steeden, Michael Quail, Alexander Gotschy, Andreas Hauptmann, Simon Arridge, Rodney Jones, Vivek Muthurangu

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

1907.04967 2019-12-24 cs.CV cs.LG cs.RO 57%

Diverse Trajectory Forecasting with Determinantal Point Processes

Ye Yuan, Kris Kitani

专题命中工作流自动化：agent(abstract)；分类 cs.LG

Comments ICLR 2020

1912.09944 2019-12-23 physics.geo-ph cs.LG eess.SP 57%

Progressive transfer learning for low frequency data prediction in full waveform inversion

Wenyi Hu, Yuchen Jin, Xuqing Wu, Jiefu Chen

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments 50 pages, 21 figures, to be published in Geophysics

1908.02335 2019-12-20 cs.DC cs.CE cs.SE 57%

Semantic interoperability and characterization of data provenance in computational molecular engineering

M. T. Horsch, C. Niethammer, G. Boccardo, P. Carbone, S. Chiacchiera, M. Chiricotto, J. D. Elliott, V. Lobaskin, P. Neumann, P. Schiffels, M. A. Seaton, I. T. Todorov, J. Vrabec, W. L. Cavalcanti

专题命中工作流自动化：workflow(abstract)；分类 cs.SE

1811.03496 2019-12-20 cs.AI 57%

Multi-Cycle Assignment Problems with Rotational Diversity

Helge Spieker, Arnaud Gotlieb, Morten Mossige

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments Extended journal version

1912.08679 2019-12-19 eess.IV cs.CV cs.LG q-bio.QM 57%

Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline

Ilaria Bonavita, Xavier Rafael-Palou, Mario Ceresa, Gemma Piella, Vicent Ribas, Miguel A. González Ballester

专题命中工作流自动化：planning(abstract)；分类 cs.LG

Comments 26 pages, 5 figures

Journal ref Computer Methods and Programs in Biomedicine, volume=185,number=105172, pages=1-9, year=2019, publisher=Elsevier

1907.04373 2019-12-17 q-fin.CP cs.LG 57%

Capturing Financial markets to apply Deep Reinforcement Learning

Souradeep Chakraborty

专题命中工作流自动化：agent(abstract)；分类 cs.LG

Comments 17 pages, 3 figures, 3 tables, accepted to be presented at the India Finance Conference, IIM Ahmedabad, December 2019

1912.03587 2019-12-10 cs.LG cs.CV eess.IV 57%

Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations

Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments Accepted as a research poster at the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC19)

1911.09489 2019-11-22 cs.SE 57%

Systematic literature review protocol. Learning-outcomes and teaching-learning process: a Bloom's taxonomy perspective

Samuel Sepúlveda, Mauricio Diéguez, Gonzalo Farías, Cristina Cachero

专题命中工作流自动化：planning(abstract)；分类 cs.SE

Comments 15 pages, 1 figure, 7 tables

1911.08747 2019-11-21 cs.LG cs.SD eess.AS stat.ML 57%

CAT: CRF-based ASR Toolkit

Keyu An, Hongyu Xiang, Zhijian Ou

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments Code released at: https://github.com/thu-spmi/cat

1909.02790 2019-11-21 cs.AI cs.MA 57%

From Few to More: Large-scale Dynamic Multiagent Curriculum Learning

Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments Accepted by AAAI2020

1. 工作流自动化 10535 篇

Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data

Evaluating Sequence-to-Sequence Learning Models for If-Then Program Synthesis

Mario Level Generation From Mechanics Using Scene Stitching

Learning Probabilistic Intersection Traffic Models for Trajectory Prediction

Privacy-Preserving Gaussian Process Regression -- A Modular Approach to the Application of Homomorphic Encryption

Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning

A Hypersensitive Breast Cancer Detector

IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks

Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses

CDST: A Toolkit for Testing Cockpit Display Systems of Avionics

SQLFlow: A Bridge between SQL and Machine Learning

AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates

An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process

Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning

Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback

DataSist: A Python-based library for easy data analysis, visualization and modeling

Learning Reusable Options for Multi-Task Reinforcement Learning

Computer vision-based framework for extracting geological lineaments from optical remote sensing data

Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach

Rapid Whole-Heart CMR with Single Volume Super-resolution

Diverse Trajectory Forecasting with Determinantal Point Processes

Progressive transfer learning for low frequency data prediction in full waveform inversion

Semantic interoperability and characterization of data provenance in computational molecular engineering

Multi-Cycle Assignment Problems with Rotational Diversity

Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline

Capturing Financial markets to apply Deep Reinforcement Learning

Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations

Systematic literature review protocol. Learning-outcomes and teaching-learning process: a Bloom's taxonomy perspective

CAT: CRF-based ASR Toolkit

From Few to More: Large-scale Dynamic Multiagent Curriculum Learning