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π Learning Instance Segmentation by Interaction
π₯ Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik
π PDF
π Interpretable Discovery in Large Image Data Sets
π₯ Kiri L. Wagstaff, Jake Lee
π PDF
π Log Skeletons: A Classification Approach to Process Discovery
π₯ H. M. W. Verbeek, R. Medeiros de Carvalho
π PDF
π Metadata Enrichment of Multi-Disciplinary Digital Library: A Semantic-based Approach
π₯ Hussein T. Al-Natsheh, Lucie Martinet, Fabrice Muhlenbach, Fabien Rico, Djamel A. Zighed
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π Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances
π₯ Jose M. PeΓ±a
π PDF
π A New Approach for Resource Scheduling with Deep Reinforcement Learning
π₯ Yufei Ye, Xiaoqin Ren, Jin Wang, Lingxiao Xu, Wenxia Guo, Wenqiang Huang, Wenhong Tian
π PDF
π Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
π₯ Martin Biehl, Christian Guckelsberger, Christoph Salge, SimΓ³n C. Smith, Daniel Polani
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π Learning Cognitive Models using Neural Networks
π₯ Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth Koedinger
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π Towards a Grounded Dialog Model for Explainable Artificial Intelligence
π₯ Prashan Madumal, Tim Miller, Frank Vetere, Liz Sonenberg
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π Flexible Neural Representation for Physics Prediction
π₯ Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Joshua B. Tenenbaum, Daniel L. K. Yamins
π PDF
π A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning
π₯ Amy Zhang, Nicolas Ballas, Joelle Pineau
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π RUDDER: Return Decomposition for Delayed Rewards
π₯ Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter
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π Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
π₯ Jan Matas, Stephen James, Andrew J. Davison
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π Combining Support Vector Machine and Elephant Herding Optimization for Cardiac Arrhythmias
π₯ Aboul Ella Hassanien, Moataz Kilany, Essam H. Houssein
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π Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy
π₯ En Li, Zhi Zhou, Xu Chen
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Artificial Intelligence
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π Learning Instance Segmentation by Interaction
π₯ Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik
π PDF
π Interpretable Discovery in Large Image Data Sets
π₯ Kiri L. Wagstaff, Jake Lee
π PDF
π Log Skeletons: A Classification Approach to Process Discovery
π₯ H. M. W. Verbeek, R. Medeiros de Carvalho
π PDF
π Metadata Enrichment of Multi-Disciplinary Digital Library: A Semantic-based Approach
π₯ Hussein T. Al-Natsheh, Lucie Martinet, Fabrice Muhlenbach, Fabien Rico, Djamel A. Zighed
π PDF
π Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances
π₯ Jose M. PeΓ±a
π PDF
π A New Approach for Resource Scheduling with Deep Reinforcement Learning
π₯ Yufei Ye, Xiaoqin Ren, Jin Wang, Lingxiao Xu, Wenxia Guo, Wenqiang Huang, Wenhong Tian
π PDF
π Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
π₯ Martin Biehl, Christian Guckelsberger, Christoph Salge, SimΓ³n C. Smith, Daniel Polani
π PDF
π Learning Cognitive Models using Neural Networks
π₯ Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth Koedinger
π PDF
π Towards a Grounded Dialog Model for Explainable Artificial Intelligence
π₯ Prashan Madumal, Tim Miller, Frank Vetere, Liz Sonenberg
π PDF
π Flexible Neural Representation for Physics Prediction
π₯ Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Joshua B. Tenenbaum, Daniel L. K. Yamins
π PDF
π A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning
π₯ Amy Zhang, Nicolas Ballas, Joelle Pineau
π PDF
π RUDDER: Return Decomposition for Delayed Rewards
π₯ Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter
π PDF
π Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
π₯ Jan Matas, Stephen James, Andrew J. Davison
π PDF
π Combining Support Vector Machine and Elephant Herding Optimization for Cardiac Arrhythmias
π₯ Aboul Ella Hassanien, Moataz Kilany, Essam H. Houssein
π PDF
π Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy
π₯ En Li, Zhi Zhou, Xu Chen
π PDF
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π The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games
π₯ Zhengxing Chen, Truong-Huy D Nguyen, Yuyu Xu, Chris Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
π PDF
π Learning Social Conventions in Markov Games
π₯ Adam Lerer, Alexander Peysakhovich
π PDF
π Adversarial Exploration Strategy for Self-Supervised Imitation Learning
π₯ Zhang-Wei Hong, Tsu-Jui Fu, Tzu-Yun Shann, Yi-Hsiang Chang, Chun-Yi Lee
π PDF
π Complexity Results for Preference Aggregation over (m)CP-nets: Pareto and Majority Voting
π₯ Thomas Lukasiewicz, Enrico Malizia
π PDF
π Independence of Sources in Social Networks
π₯ Manel Chehibi, Mouna Chebbah, Arnaud Martin
π PDF
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π The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games
π₯ Zhengxing Chen, Truong-Huy D Nguyen, Yuyu Xu, Chris Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
π PDF
π Learning Social Conventions in Markov Games
π₯ Adam Lerer, Alexander Peysakhovich
π PDF
π Adversarial Exploration Strategy for Self-Supervised Imitation Learning
π₯ Zhang-Wei Hong, Tsu-Jui Fu, Tzu-Yun Shann, Yi-Hsiang Chang, Chun-Yi Lee
π PDF
π Complexity Results for Preference Aggregation over (m)CP-nets: Pareto and Majority Voting
π₯ Thomas Lukasiewicz, Enrico Malizia
π PDF
π Independence of Sources in Social Networks
π₯ Manel Chehibi, Mouna Chebbah, Arnaud Martin
π PDF
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π Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
π₯ Dan Hendrycks, Thomas G. Dietterich
π PDF
π Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
π₯ Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
π PDF
π Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization
π₯ Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S. Dahl, Amine Kerkeni, Karim Beguir
π PDF
π Encoding Spatial Relations from Natural Language
π₯ Tiago Ramalho, TomΓ‘Ε‘ KociskΓ½, Frederic Besse, S. M. Ali Eslami, GΓ‘bor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
π PDF
π MIXGAN: Learning Concepts from Different Domains for Mixture Generation
π₯ Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
π PDF
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π Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
π₯ Dan Hendrycks, Thomas G. Dietterich
π PDF
π Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
π₯ Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
π PDF
π Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization
π₯ Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S. Dahl, Amine Kerkeni, Karim Beguir
π PDF
π Encoding Spatial Relations from Natural Language
π₯ Tiago Ramalho, TomΓ‘Ε‘ KociskΓ½, Frederic Besse, S. M. Ali Eslami, GΓ‘bor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
π PDF
π MIXGAN: Learning Concepts from Different Domains for Mixture Generation
π₯ Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
π PDF
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π Kernel-Based Learning for Smart Inverter Control
π₯ Aditie Garg, Mana Jalali, Vassilis Kekatos, Nikolaos Gatsis
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π Is Q-learning Provably Efficient?
π₯ Chi Jin, Zeyuan Allen-Zhu, Sebastien Bubeck, Michael I. Jordan
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π SimArch: A Multi-agent System For Human Path Simulation In Architecture Design
π₯ Yen-Chia Hsu
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π Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
π₯ Timothy Wong, Zhiyuan Luo
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π Handling Incomplete Heterogeneous Data using VAEs
π₯ Alfredo Nazabal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera
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π Kernel-Based Learning for Smart Inverter Control
π₯ Aditie Garg, Mana Jalali, Vassilis Kekatos, Nikolaos Gatsis
π PDF
π Is Q-learning Provably Efficient?
π₯ Chi Jin, Zeyuan Allen-Zhu, Sebastien Bubeck, Michael I. Jordan
π PDF
π SimArch: A Multi-agent System For Human Path Simulation In Architecture Design
π₯ Yen-Chia Hsu
π PDF
π Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
π₯ Timothy Wong, Zhiyuan Luo
π PDF
π Handling Incomplete Heterogeneous Data using VAEs
π₯ Alfredo Nazabal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera
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π Scalable Tensor Completion with Nonconvex Regularization
π₯ Quanming Yao
π PDF
π NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference
π₯ Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram
π PDF
π Data Science with Vadalog: Bridging Machine Learning and Reasoning
π₯ Luigi Bellomarini, Ruslan R. Fayzrakhmanov, Georg Gottlob, Andrey Kravchenko, Eleonora Laurenza, Yavor Nenov, Stephane Reissfelder, Emanuel Sallinger, Evgeny Sherkhonov, Lianlong Wu
π PDF
π The Vadalog System: Datalog-based Reasoning for Knowledge Graphs
π₯ Luigi Bellomarini, Georg Gottlob, Emanuel Sallinger
π PDF
π Multi-View Fuzzy Logic System with the Cooperation between Visible and Hidden Views
π₯ Te Zhang, Zhaohong Deng, Dongrui Wu, Shitong Wang
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π Scalable Tensor Completion with Nonconvex Regularization
π₯ Quanming Yao
π PDF
π NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference
π₯ Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram
π PDF
π Data Science with Vadalog: Bridging Machine Learning and Reasoning
π₯ Luigi Bellomarini, Ruslan R. Fayzrakhmanov, Georg Gottlob, Andrey Kravchenko, Eleonora Laurenza, Yavor Nenov, Stephane Reissfelder, Emanuel Sallinger, Evgeny Sherkhonov, Lianlong Wu
π PDF
π The Vadalog System: Datalog-based Reasoning for Knowledge Graphs
π₯ Luigi Bellomarini, Georg Gottlob, Emanuel Sallinger
π PDF
π Multi-View Fuzzy Logic System with the Cooperation between Visible and Hidden Views
π₯ Te Zhang, Zhaohong Deng, Dongrui Wu, Shitong Wang
π PDF
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π Minimizing Close-k Aggregate Loss Improves Classification
π₯ Bryan He, James Zou
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π Learning Beam Search Policies via Imitation Learning
π₯ Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon
π PDF
π Modeling Attention Flow on Graphs
π₯ Xiaoran Xu, Songpeng Zu, Chengliang Gao, Yuan Zhang, Wei Feng
π PDF
π Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices
π₯ Xiaofan Xu, Mi Sun Park, Cormac Brick
π PDF
π Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
π₯ Di Chen, Carla P. Gomes
π PDF
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π Minimizing Close-k Aggregate Loss Improves Classification
π₯ Bryan He, James Zou
π PDF
π Learning Beam Search Policies via Imitation Learning
π₯ Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon
π PDF
π Modeling Attention Flow on Graphs
π₯ Xiaoran Xu, Songpeng Zu, Chengliang Gao, Yuan Zhang, Wei Feng
π PDF
π Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices
π₯ Xiaofan Xu, Mi Sun Park, Cormac Brick
π PDF
π Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
π₯ Di Chen, Carla P. Gomes
π PDF
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