Artificial Neural Networks and Machine Learning – ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II

Front Matter ....Pages i-xxvii
Front Matter ....Pages 1-1
 Fine-Grained Channel Pruning for Deep Residual Neural Networks  (Siang Chen, Kai Huang, Dongliang Xiong, Bowen Li, Luc Claesen)....Pages 3-14
 A Lightweight Fully Convolutional Neural Network of High Accuracy Surface Defect Detection  (Yajie Li, Yiqiang Chen, Yang Gu, Jianquan Ouyang, Jiwei Wang, Ni Zeng)....Pages 15-26
 Detecting Uncertain BNN Outputs on FPGA Using Monte Carlo Dropout Sampling  (Tomoyuki Myojin, Shintaro Hashimoto, Naoki Ishihama)....Pages 27-38
 Neural Network Compression via Learnable Wavelet Transforms  (Moritz Wolter, Shaohui Lin, Angela Yao)....Pages 39-51
 Fast and Robust Compression of Deep Convolutional Neural Networks  (Jia Wen, Liu Yang, Chenyang Shen)....Pages 52-63
Front Matter ....Pages 65-65
 Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima  (Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto)....Pages 67-78
 Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks  (Philipp Grüning, Thomas Martinetz, Erhardt Barth)....Pages 79-91
 Tuning Deep Neural Network’s Hyperparameters Constrained to Deployability on Tiny Systems  (Riccardo Perego, Antonio Candelieri, Francesco Archetti, Danilo Pau)....Pages 92-103
 Obstacles to Depth Compression of Neural Networks  (Will Burstein, John Wilmes)....Pages 104-115
Front Matter ....Pages 117-117
 Multi-label Quadruplet Dictionary Learning  (Jiayu Zheng, Wencheng Zhu, Pengfei Zhu)....Pages 119-131
 Pareto Multi-task Deep Learning  (Salvatore D. Riccio, Deyan Dyankov, Giorgio Jansen, Giuseppe Di Fatta, Giuseppe Nicosia)....Pages 132-141
 Convex Graph Laplacian Multi-Task Learning SVM  (Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro)....Pages 142-154
Front Matter ....Pages 155-155
 Prediction Stability as a Criterion in Active Learning  (Junyu Liu, Xiang Li, Jiqiang Zhou, Jianxiong Shen)....Pages 157-167
 Neural Spectrum Alignment: Empirical Study  (Dmitry Kopitkov, Vadim Indelman)....Pages 168-179
 Nonlinear, Nonequilibrium Landscape Approach to Neural Network Dynamics  (Roseli S. Wedemann, Angel R. Plastino)....Pages 180-191
 Hopfield Networks for Vector Quantization  (C. Bauckhage, R. Ramamurthy, R. Sifa)....Pages 192-203
 Prototype-Based Online Learning on Homogeneously Labeled Streaming Data  (Christian Limberg, Jan Philip Göpfert, Heiko Wersing, Helge Ritter)....Pages 204-213
Front Matter ....Pages 215-215
 Neural Network Training with Safe Regularization in the Null Space of Batch Activations  (Matthias Kissel, Martin Gottwald, Klaus Diepold)....Pages 217-228
 The Effect of Batch Normalization in the Symmetric Phase  (Shiro Takagi, Yuki Yoshida, Masato Okada)....Pages 229-240
 Regularized Pooling  (Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida)....Pages 241-254
Front Matter ....Pages 255-255
 Deep Recurrent Deterministic Policy Gradient for Physical Control  (Lei Zhang, Shuai Han, Zhiruo Zhang, Lefan Li, Shuai Lü)....Pages 257-268
 Exploration via Progress-Driven Intrinsic Rewards  (Nicolas Bougie, Ryutaro Ichise)....Pages 269-281
 An Improved Reinforcement Learning Based Heuristic Dynamic Programming Algorithm for Model-Free Optimal Control  (Jia Li, Zhaolin Yuan, Xiaojuan Ban)....Pages 282-294
 PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning  (Guillaume Matheron, Nicolas Perrin, Olivier Sigaud)....Pages 295-307
 Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse Rewards  (Guillaume Matheron, Nicolas Perrin, Olivier Sigaud)....Pages 308-320
Front Matter ....Pages 321-321
 GAN-Based Planning Model in Deep Reinforcement Learning  (Song Chen, Junpeng Jiang, Xiaofang Zhang, Jinjin Wu, Gongzheng Lu)....Pages 323-334
 Guided Reinforcement Learning via Sequence Learning  (Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage)....Pages 335-345
 Neural Machine Translation Based on Improved Actor-Critic Method  (Ziyue Guo, Hongxu Hou, Nier Wu, Shuo Sun)....Pages 346-357
 Neural Machine Translation Based on Prioritized Experience Replay  (Shuo Sun, Hongxu Hou, Nier Wu, Ziyue Guo)....Pages 358-368
 Improving Multi-agent Reinforcement Learning with Imperfect Human Knowledge  (Xiaoxu Han, Hongyao Tang, Yuan Li, Guang Kou, Leilei Liu)....Pages 369-380
Front Matter ....Pages 381-381
 Adaptive Skill Acquisition in Hierarchical Reinforcement Learning  (Juraj Holas, Igor Farkaš)....Pages 383-394
 Social Navigation with Human Empowerment Driven Deep Reinforcement Learning  (Tessa van der Heiden, Florian Mirus, Herke van Hoof)....Pages 395-407
 Curious Hierarchical Actor-Critic Reinforcement Learning  (Frank Röder, Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter)....Pages 408-419
 Policy Entropy for Out-of-Distribution Classification  (Andreas Sedlmeier, Robert Müller, Steffen Illium, Claudia Linnhoff-Popien)....Pages 420-431
Front Matter ....Pages 433-433
 Analysis of Reservoir Structure Contributing to Robustness Against Structural Failure of Liquid State Machine  (Yuta Okumura, Naoki Wakamiya)....Pages 435-446
 Quantifying Robustness and Capacity of Reservoir Computers with Consistency Profiles  (Thomas Lymburn, Thomas Jüngling, Michael Small)....Pages 447-458
 Two-Step FORCE Learning Algorithm for Fast Convergence in Reservoir Computing  (Hiroto Tamura, Gouhei Tanaka)....Pages 459-469
 Morphological Computation of Skin Focusing on Fingerprint Structure  (Akane Musha, Manabu Daihara, Hiroki Shigemune, Hideyuki Sawada)....Pages 470-481
 Time Series Clustering with Deep Reservoir Computing  (Miguel Atencia, Claudio Gallicchio, Gonzalo Joya, Alessio Micheli)....Pages 482-493
 ReservoirPy: An Efficient and User-Friendly Library to Design Echo State Networks  (Nathan Trouvain, Luca Pedrelli, Thanh Trung Dinh, Xavier Hinaut)....Pages 494-505
Front Matter ....Pages 507-507
 Adaptive, Neural Robot Control – Path Planning on 3D Spiking Neural Networks  (Lea Steffen, Artur Liebert, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmannn)....Pages 509-520
 CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies  (Tangwen Qian, Fei Wang, Yongjun Xu, Yu Jiang, Tao Sun, Yong Yu)....Pages 521-532
 Neuro-Genetic Visuomotor Architecture for Robotic Grasping  (Matthias Kerzel, Josua Spisak, Erik Strahl, Stefan Wermter)....Pages 533-545
 From Geometries to Contact Graphs  (Martin Meier, Robert Haschke, Helge J. Ritter)....Pages 546-555
Front Matter ....Pages 557-557
 Structural Position Network for Aspect-Based Sentiment Classification  (Pu Song, Wei Jiang, Fuqing Zhu, Yan Zhou, Jizhong Han, Songlin Hu)....Pages 559-570
 Cross-Domain Sentiment Classification Using Topic Attention and Dual-Task Adversarial Training  (Kwun-Ping Lai, Jackie Chun-Sing Ho, Wai Lam)....Pages 571-583
 Data Augmentation for Sentiment Analysis in English – The Online Approach  (Michał Jungiewicz, Aleksander Smywiński-Pohl)....Pages 584-595
Front Matter ....Pages 597-597
 Dendritic Computation in a Point Neuron Model  (Alexander Vandesompele, Francis Wyffels, Joni Dambre)....Pages 599-609
 Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware  (Christoph Ostrau, Jonas Homburg, Christian Klarhorst, Michael Thies, Ulrich Rückert)....Pages 610-621
 Unsupervised Learning of Spatio-Temporal Receptive Fields from an Event-Based Vision Sensor  (Thomas Barbier, Céline Teulière, Jochen Triesch)....Pages 622-633
 Spike-Train Level Unsupervised Learning Algorithm for Deep Spiking Belief Networks  (Xianghong Lin, Pangao Du)....Pages 634-645
Front Matter ....Pages 647-647
 Modelling Neuromodulated Information Flow and Energetic Consumption at Thalamic Relay Synapses  (Mireille Conrad, Renaud B. Jolivet)....Pages 649-658
 Learning Precise Spike Timings with Eligibility Traces  (Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte)....Pages 659-669
 Meta-STDP Rule Stabilizes Synaptic Weights Under in Vivo-like Ongoing Spontaneous Activity in a Computational Model of CA1 Pyramidal Cell  (Matúš Tomko, Peter Jedlička, L’ubica Beňušková)....Pages 670-680
 Adaptive Chemotaxis for Improved Contour Tracking Using Spiking Neural Networks  (Shashwat Shukla, Rohan Pathak, Vivek Saraswat, Udayan Ganguly)....Pages 681-692
Front Matter ....Pages 693-693
 Mental Imagery-Driven Neural Network to Enhance Representation for Implicit Discourse Relation Recognition  (Jian Wang, Ruifang He, Fengyu Guo, Yugui Han)....Pages 695-707
 Adaptive Convolution Kernel for Text Classification via Multi-channel Representations  (Cheng Wang, Xiaoyan Fan)....Pages 708-720
 Text Generation in Discrete Space  (Ting Hu, Christoph Meinel)....Pages 721-732
 Short Text Processing for Analyzing User Portraits: A Dynamic Combination  (Zhengping Ding, Chen Yan, Chunli Liu, Jianrui Ji, Yezheng Liu)....Pages 733-745
 A Hierarchical Fine-Tuning Approach Based on Joint Embedding of Words and Parent Categories for Hierarchical Multi-label Text Classification  (Yinglong Ma, Jingpeng Zhao, Beihong Jin)....Pages 746-757
Front Matter ....Pages 759-759
 Boosting Tricks for Word Mover’s Distance  (Konstantinos Skianis, Fragkiskos D. Malliaros, Nikolaos Tziortziotis, Michalis Vazirgiannis)....Pages 761-772
 Embedding Compression with Right Triangle Similarity Transformations  (Haohao Song, Dongsheng Zou, Lei Hu, Jieying Yuan)....Pages 773-785
 Neural Networks for Detecting Irrelevant Questions During Visual Question Answering  (Mengdi Li, Cornelius Weber, Stefan Wermter)....Pages 786-797
 F-Measure Optimisation and Label Regularisation for Energy-Based Neural Dialogue State Tracking Models  (Anh Duong Trinh, Robert J. Ross, John D. Kelleher)....Pages 798-810
Front Matter ....Pages 811-811
 Unsupervised Change Detection Using Joint Autoencoders for Age-Related Macular Degeneration Progression  (Guillaume Dupont, Ekaterina Kalinicheva, Jérémie Sublime, Florence Rossant, Michel Pâques)....Pages 813-824
 A Fast Algorithm to Find Best Matching Units in Self-Organizing Maps  (Yann Bernard, Nicolas Hueber, Bernard Girau)....Pages 825-837
 Tumor Characterization Using Unsupervised Learning of Mathematical Relations Within Breast Cancer Data  (Cristian Axenie, Daria Kurz)....Pages 838-849
 Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data  (Valerie Vaquet, Barbara Hammer)....Pages 850-862
 A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models  (Alexander Gepperth, Benedikt Pfülb)....Pages 863-872
 Collaborative Clustering Through Optimal Transport  (Fatima Ezzahraa Ben Bouazza, Younès Bennani, Guénaël Cabanes, Abdelfettah Touzani)....Pages 873-885
Back Matter ....Pages 887-891