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

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🗒 Learning Instance Segmentation by Interaction
👥 Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik
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🗒 Interpretable Discovery in Large Image Data Sets
👥 Kiri L. Wagstaff, Jake Lee
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🗒 Log Skeletons: A Classification Approach to Process Discovery
👥 H. M. W. Verbeek, R. Medeiros de Carvalho
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🗒 Metadata Enrichment of Multi-Disciplinary Digital Library: A Semantic-based Approach
👥 Hussein T. Al-Natsheh, Lucie Martinet, Fabrice Muhlenbach, Fabien Rico, Djamel A. Zighed
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🗒 Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances
👥 Jose M. Peña
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🗒 A New Approach for Resource Scheduling with Deep Reinforcement Learning
👥 Yufei Ye, Xiaoqin Ren, Jin Wang, Lingxiao Xu, Wenxia Guo, Wenqiang Huang, Wenhong Tian
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🗒 Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
👥 Martin Biehl, Christian Guckelsberger, Christoph Salge, Simón C. Smith, Daniel Polani
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🗒 Learning Cognitive Models using Neural Networks
👥 Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth Koedinger
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🗒 Towards a Grounded Dialog Model for Explainable Artificial Intelligence
👥 Prashan Madumal, Tim Miller, Frank Vetere, Liz Sonenberg
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🗒 Flexible Neural Representation for Physics Prediction
👥 Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Joshua B. Tenenbaum, Daniel L. K. Yamins
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🗒 A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning
👥 Amy Zhang, Nicolas Ballas, Joelle Pineau
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🗒 RUDDER: Return Decomposition for Delayed Rewards
👥 Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter
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🗒 Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
👥 Jan Matas, Stephen James, Andrew J. Davison
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🗒 Combining Support Vector Machine and Elephant Herding Optimization for Cardiac Arrhythmias
👥 Aboul Ella Hassanien, Moataz Kilany, Essam H. Houssein
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🗒 Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy
👥 En Li, Zhi Zhou, Xu Chen
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