Table of Contents

• Blending Pruning Criteria for Convolutional Neural NetworksWei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang. 3-15 [doi]
• BFRIFP: Brain Functional Reorganization Inspired Filter PruningShoumeng Qiu, Yuzhang Gu, Xiaolin Zhang. 16-28 [doi]
• CupNet - Pruning a Network for Geometric DataRaoul Heese, Lukas Morand, Dirk Helm, Michael Bortz. 29-33 [doi]
• Pruned-YOLO: Learning Efficient Object Detector Using Model PruningJiacheng Zhang, Pingyu Wang, Zhicheng Zhao, Fei Su. 34-45 [doi]
• Gator: Customizable Channel Pruning of Neural Networks with GatingEli Passov, Eli O. David, Nathan S. Netanyahu. 46-58 [doi]
• MMF: Multi-task Multi-structure Fusion for Hierarchical Image ClassificationXiaoni Li, Yucan Zhou, Yu Zhou 0015, Weiping Wang 0005. 61-73 [doi]
• GLUNet: Global-Local Fusion U-Net for 2D Medical Image SegmentationNing Wang, Hongyan Quan. 74-85 [doi]
• Textbook Question Answering with Multi-type Question Learning and Contextualized Diagram RepresentationJianwei He, Xianghua Fu, Zi Long, Shuxin Wang, Chaojie Liang, Hongbin Lin. 86-98 [doi]
• A Multi-Task MRC Framework for Chinese Emotion Cause and Experiencer ExtractionHaoda Qian, Qiudan Li, Zaichuan Tang. 99-110 [doi]
• Fairer Machine Learning Through Multi-objective Evolutionary LearningQingquan Zhang, Jialin Liu 0001, Zeqi Zhang, Junyi Wen, Bifei Mao, Xin Yao 0001. 111-123 [doi]
• Single Neurons with Delay-Based Learning Can Generalise Between Time-Warped PatternsJoshua Arnold, Peter Stratton, Janet Wiles. 127-138 [doi]
• Estimating Expected Calibration ErrorsNicolas Posocco, Antoine Bonnefoy. 139-150 [doi]
• LipBaB: Computing Exact Lipschitz Constant of ReLU NetworksAritra Bhowmick, Meenakshi D'Souza, G. Srinivasa Raghavan. 151-162 [doi]
• Nonlinear Lagrangean Neural NetworksRoseli S. Wedemann, Angel Ricardo Plastino. 163-173 [doi]
• Energy Conservation in Infinitely Wide Neural-NetworksShu Eguchi, Takafumi Amaba. 177-189 [doi]
• Class-Similarity Based Label Smoothing for Confidence CalibrationChihuang Liu, Joseph F. JáJá. 190-201 [doi]
• Jacobian Regularization for Mitigating Universal Adversarial PerturbationsKenneth T. Co, David Martínez-Rego, Emil C. Lupu. 202-213 [doi]
• Layer-Wise Activation Cluster Analysis of CNNs to Detect Out-of-Distribution SamplesDaniel Lehmann, Marc Ebner. 214-226 [doi]
• Weight and Gradient Centralization in Deep Neural NetworksWolfgang Fuhl, Enkelejda Kasneci. 227-239 [doi]
• LocalNorm: Robust Image Classification Through Dynamically Regularized NormalizationBojian Yin, H. Steven Scholte, Sander M. Bohté. 240-252 [doi]
• Channel Capacity of Neural NetworksGen Ye, Tong Lin. 253-265 [doi]
• RIAP: A Method for Effective Receptive Field RectificationZhenzhen Li, Kin-Wang Poon, Xuan Yang. 266-278 [doi]
• Curriculum Learning Revisited: Incremental Batch Learning with Instance Typicality RankingIzabela Krysinska, Mikolaj Morzy, Tomasz Kajdanowicz. 279-291 [doi]
• Interesting Receptive Region and Feature Excitation for Partial Person Re-identificationQiwei Meng, Te Li, Shanshan Ji, Shiqiang Zhu, Jianjun Gu 0004. 295-307 [doi]
• Improved Occluded Person Re-Identification with Multi-feature FusionJing Yang, Canlong Zhang, Zhixin Li, Yanping Tang. 308-319 [doi]
• Joint Weights-Averaged and Feature-Separated Learning for Person Re-identificationDi Su, Cheng Zhang, Shaobo Wang. 320-332 [doi]
• Semi-Hard Margin Support Vector Machines for Personal Authentication with an Aerial Signature MotionTakeshi Yoshida, Takuya Kitamura. 333-344 [doi]
• Dynamic Identification of Stop Locations from GPS Trajectories Based on Their Temporal and Spatial CharacteristicsFlora Ferreira, Weronika Wojtak, Carlos Fernandes, Pedro Guimarães, Sérgio Monteiro, Estela Bicho, Wolfram Erlhagen. 347-359 [doi]
• Separation of Memory and Processing in Dual Recurrent Neural NetworksChristian Oliva, Luis Fernando Lago-Fernández. 360-371 [doi]
• Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis DataSandeep Kumar 0002, Koushik Biswas, Ashish Kumar Pandey. 372-383 [doi]
• Latent State Inference in a Spatiotemporal Generative ModelMatthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz. 384-395 [doi]
• Deep Learning Models and Interpretations for Multivariate Discrete-Valued Event Sequence PredictionGábor Korösi, Richárd Farkas. 396-406 [doi]
• End-to-End On-Line Multi-object Tracking on Sparse Point Clouds Using Recurrent Convolutional NetworksDominic Spata, Arne Grumpe, Anton Kummert. 407-419 [doi]
• M-ary Hopfield Neural Network Based Associative Memory Formulation: Limit-Cycle Based Sequence Storage and RetrievalVandana M. Ladwani, V. Ramasubramanian 0001. 420-432 [doi]
• Training Many-to-Many Recurrent Neural Networks with Target PropagationPeilun Dai, Sang Chin. 433-443 [doi]
• Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive ClassificationJana Lang, Martin A. Giese, Matthis Synofzik, Winfried Ilg, Sebastian Otte. 444-456 [doi]
• Precise Temporal P300 Detection in Brain Computer Interface EEG Signals Using a Long-Short Term MemoryChristian Oliva, Vinicio Changoluisa, Francisco de Borja Rodríguez, Luis Fernando Lago-Fernández. 457-468 [doi]
• Noise Quality and Super-Turing Computation in Recurrent Neural NetworksEmmett Redd, Tayo Obafemi-Ajayi. 469-478 [doi]
• Learning to Plan via a Multi-step Policy Regression MethodStefan Wagner 0020, Michael Janschek, Tobias Uelwer, Stefan Harmeling. 481-492 [doi]
• Behaviour-Conditioned Policies for Cooperative Reinforcement Learning TasksAntti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin. 493-504 [doi]
• Integrated Actor-Critic for Deep Reinforcement LearningJiaohao Zheng, Mehmet Necip Kurt, Xiaodong Wang. 505-518 [doi]
• Learning to Assist Agents by Observing ThemAntti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin. 519-530 [doi]
• Reinforcement Syntactic Dependency Tree Reasoning for Target-Oriented Opinion Word ExtractionYaqing Dai, Pengfei Wang, Lei Zhang. 531-543 [doi]
• Learning Distinct Strategies for Heterogeneous Cooperative Multi-agent Reinforcement LearningKejia Wan, Xinhai Xu, Yuan Li. 544-555 [doi]
• MAT-DQN: Toward Interpretable Multi-agent Deep Reinforcement Learning for Coordinated ActivitiesYoshinari Motokawa, Toshiharu Sugawara. 556-567 [doi]
• Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search AlgorithmsAlexandre Chenu, Nicolas Perrin 0001, Stéphane Doncieux, Olivier Sigaud. 568-579 [doi]
• A Hand Gesture Recognition System Using EMG and Reinforcement Learning: A Q-Learning ApproachJuan Pablo Vasconez, Lorena Isabel Barona López, Ángel Leonardo Valdivieso Caraguay, Patricio J. Cruz Davalos, Robin Álvarez, Marco E. Benalcázar. 580-591 [doi]
• Reinforcement Learning for the Privacy Preservation and Manipulation of Eye Tracking DataWolfgang Fuhl, Efe Bozkir, Enkelejda Kasneci. 595-607 [doi]
• Reinforcement Symbolic LearningChloé Mercier, Frédéric Alexandre, Thierry Viéville. 608-612 [doi]
• Deep Reinforcement Learning for Job Scheduling on ClusterZhenjie Yao, Lan Chen, He Zhang. 613-624 [doi]
• Independent Deep Deterministic Policy Gradient Reinforcement Learning in Cooperative Multiagent Pursuit GamesShiyang Zhou, Weiya Ren, Xiaoguang Ren, Yanzhen Wang, Xiaodong Yi 0002. 625-637 [doi]
• Avoid Overfitting in Deep Reinforcement Learning: Increasing Robustness Through Decentralized ControlMalte Schilling. 638-649 [doi]
• Advances in Adaptive Skill AcquisitionJuraj Holas, Igor Farkas. 650-661 [doi]
• Aspect-Based Sentiment Classification with Reinforcement Learning and Local UnderstandingMing-Fan Li, Kaijie Zhou, Hongze Wang, Long Ma, Xuan Li. 662-674 [doi]
• Latent Dynamics for Artefact-Free Character Animation via Data-Driven Reinforcement LearningVihanga Gamage, Cathy Ennis, Robert J. Ross. 675-687 [doi]
• Intrinsic Motivation Model Based on Reward GatingMatej Pechác, Igor Farkas. 688-699 [doi]