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ArXiv Papers Related to Computer Science, AI, Deep Learning, Computer Vision, NLP, etc

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๐Ÿ—’ Learning Instance Segmentation by Interaction
๐Ÿ‘ฅ Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik
๐Ÿ“— PDF


๐Ÿ—’ Interpretable Discovery in Large Image Data Sets
๐Ÿ‘ฅ Kiri L. Wagstaff, Jake Lee
๐Ÿ“— PDF


๐Ÿ—’ Log Skeletons: A Classification Approach to Process Discovery
๐Ÿ‘ฅ H. M. W. Verbeek, R. Medeiros de Carvalho
๐Ÿ“— PDF


๐Ÿ—’ Metadata Enrichment of Multi-Disciplinary Digital Library: A Semantic-based Approach
๐Ÿ‘ฅ Hussein T. Al-Natsheh, Lucie Martinet, Fabrice Muhlenbach, Fabien Rico, Djamel A. Zighed
๐Ÿ“— PDF


๐Ÿ—’ Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances
๐Ÿ‘ฅ Jose M. Peรฑa
๐Ÿ“— PDF


๐Ÿ—’ A New Approach for Resource Scheduling with Deep Reinforcement Learning
๐Ÿ‘ฅ Yufei Ye, Xiaoqin Ren, Jin Wang, Lingxiao Xu, Wenxia Guo, Wenqiang Huang, Wenhong Tian
๐Ÿ“— PDF


๐Ÿ—’ Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
๐Ÿ‘ฅ Martin Biehl, Christian Guckelsberger, Christoph Salge, Simรณn C. Smith, Daniel Polani
๐Ÿ“— PDF


๐Ÿ—’ Learning Cognitive Models using Neural Networks
๐Ÿ‘ฅ Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth Koedinger
๐Ÿ“— PDF


๐Ÿ—’ Towards a Grounded Dialog Model for Explainable Artificial Intelligence
๐Ÿ‘ฅ Prashan Madumal, Tim Miller, Frank Vetere, Liz Sonenberg
๐Ÿ“— PDF


๐Ÿ—’ Flexible Neural Representation for Physics Prediction
๐Ÿ‘ฅ Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Joshua B. Tenenbaum, Daniel L. K. Yamins
๐Ÿ“— PDF


๐Ÿ—’ A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning
๐Ÿ‘ฅ Amy Zhang, Nicolas Ballas, Joelle Pineau
๐Ÿ“— PDF


๐Ÿ—’ RUDDER: Return Decomposition for Delayed Rewards
๐Ÿ‘ฅ Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter
๐Ÿ“— PDF


๐Ÿ—’ Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
๐Ÿ‘ฅ Jan Matas, Stephen James, Andrew J. Davison
๐Ÿ“— PDF


๐Ÿ—’ Combining Support Vector Machine and Elephant Herding Optimization for Cardiac Arrhythmias
๐Ÿ‘ฅ Aboul Ella Hassanien, Moataz Kilany, Essam H. Houssein
๐Ÿ“— PDF


๐Ÿ—’ Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy
๐Ÿ‘ฅ En Li, Zhi Zhou, Xu Chen
๐Ÿ“— PDF


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