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29th ICANN 2020: Bratislava, Slovakia - Part II
- Igor Farkas
, Paolo Masulli
Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12397, Springer 2020, ISBN 978-3-030-61615-1
Model Compression I
- Siang Chen, Kai Huang, Dongliang Xiong, Bowen Li, Luc Claesen:
Fine-Grained Channel Pruning for Deep Residual Neural Networks. 3-14 - Yajie Li
A Lightweight Fully Convolutional Neural Network of High Accuracy Surface Defect Detection. 15-26 - Tomoyuki Myojin
Detecting Uncertain BNN Outputs on FPGA Using Monte Carlo Dropout Sampling. 27-38 - Moritz Wolter, Shaohui Lin, Angela Yao:
Neural Network Compression via Learnable Wavelet Transforms. 39-51 - Jia Wen
Fast and Robust Compression of Deep Convolutional Neural Networks. 52-63
Model Compression II
- Enzo Tartaglione
Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima. 67-78 - Philipp Grüning
Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks. 79-91 - Riccardo Perego
Tuning Deep Neural Network's Hyperparameters Constrained to Deployability on Tiny Systems. 92-103 - Will Burstein, John Wilmes:
Obstacles to Depth Compression of Neural Networks. 104-115
Multi-task and Multi-label Learning
- Jiayu Zheng, Wencheng Zhu, Pengfei Zhu:
Multi-label Quadruplet Dictionary Learning. 119-131 - Salvatore Danilo Riccio, Deyan Dyankov, Giorgio Jansen, Giuseppe Di Fatta, Giuseppe Nicosia:
Pareto Multi-task Deep Learning. 132-141 - Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro:
Convex Graph Laplacian Multi-Task Learning SVM. 142-154
Neural Network Theory and Information Theoretic Learning
- Junyu Liu
Prediction Stability as a Criterion in Active Learning. 157-167 - Dmitry Kopitkov
Neural Spectrum Alignment: Empirical Study. 168-179 - Roseli Suzi Wedemann
Nonlinear, Nonequilibrium Landscape Approach to Neural Network Dynamics. 180-191 - Christian Bauckhage
Hopfield Networks for Vector Quantization. 192-203 - Christian Limberg
Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. 204-213
Normalization and Regularization Methods
- Matthias Kissel, Martin Gottwald, Klaus Diepold:
Neural Network Training with Safe Regularization in the Null Space of Batch Activations. 217-228 - Shiro Takagi, Yuki Yoshida, Masato Okada:
The Effect of Batch Normalization in the Symmetric Phase. 229-240 - Takato Otsuzuki, Hideaki Hayashi
Regularized Pooling. 241-254
Reinforcement Learning I
- Lei Zhang, Shuai Han, Zhiruo Zhang
Deep Recurrent Deterministic Policy Gradient for Physical Control. 257-268 - Nicolas Bougie, Ryutaro Ichise:
Exploration via Progress-Driven Intrinsic Rewards. 269-281 - Jia Li, Zhaolin Yuan
An Improved Reinforcement Learning Based Heuristic Dynamic Programming Algorithm for Model-Free Optimal Control. 282-294 - Guillaume Matheron
PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning. 295-307 - Guillaume Matheron
Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse Rewards. 308-320
Reinforcement Learning II
- Song Chen, Junpeng Jiang, Xiaofang Zhang, Jin-Jin Wu, Gongzheng Lu:
GAN-Based Planning Model in Deep Reinforcement Learning. 323-334 - Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage:
Guided Reinforcement Learning via Sequence Learning. 335-345 - Ziyue Guo, Hongxu Hou, Nier Wu, Shuo Sun:
Neural Machine Translation Based on Improved Actor-Critic Method. 346-357 - Shuo Sun, Hongxu Hou, Nier Wu, Ziyue Guo:
Neural Machine Translation Based on Prioritized Experience Replay. 358-368 - Xiaoxu Han, Hongyao Tang, Yuan Li, Guang Kou, Leilei Liu:
Improving Multi-agent Reinforcement Learning with Imperfect Human Knowledge. 369-380
Reinforcement Learning III
- Juraj Holas, Igor Farkas:
Adaptive Skill Acquisition in Hierarchical Reinforcement Learning. 383-394 - Tessa van der Heiden, Florian Mirus, Herke van Hoof:
Social Navigation with Human Empowerment Driven Deep Reinforcement Learning. 395-407 - Frank Röder
Curious Hierarchical Actor-Critic Reinforcement Learning. 408-419 - Andreas Sedlmeier, Robert Müller, Steffen Illium, Claudia Linnhoff-Popien:
Policy Entropy for Out-of-Distribution Classification. 420-431
Reservoir Computing
- Yuta Okumura, Naoki Wakamiya
Analysis of Reservoir Structure Contributing to Robustness Against Structural Failure of Liquid State Machine. 435-446 - Thomas Lymburn
Quantifying Robustness and Capacity of Reservoir Computers with Consistency Profiles. 447-458 - Hiroto Tamura, Gouhei Tanaka:
Two-Step FORCE Learning Algorithm for Fast Convergence in Reservoir Computing. 459-469 - Akane Musha
Morphological Computation of Skin Focusing on Fingerprint Structure. 470-481 - Miguel A. Atencia Ruiz
Time Series Clustering with Deep Reservoir Computing. 482-493 - Nathan Trouvain
ReservoirPy: An Efficient and User-Friendly Library to Design Echo State Networks. 494-505
Robotics and Neural Models of Perception and Action
- Lea Steffen, Artur Liebert, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann:
Adaptive, Neural Robot Control - Path Planning on 3D Spiking Neural Networks. 509-520 - Tangwen Qian, Fei Wang, Yongjun Xu
CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies. 521-532 - Matthias Kerzel, Josua Spisak, Erik Strahl, Stefan Wermter
Neuro-Genetic Visuomotor Architecture for Robotic Grasping. 533-545 - Martin Meier, Robert Haschke
From Geometries to Contact Graphs. 546-555
Sentiment Classification
- Pu Song, Wei Jiang, Fuqing Zhu, Yan Zhou, Jizhong Han, Songlin Hu:
Structural Position Network for Aspect-Based Sentiment Classification. 559-570 - Kwun Ping Lai, Jackie Chun-Sing Ho
Cross-Domain Sentiment Classification Using Topic Attention and Dual-Task Adversarial Training. 571-583 - Michal Jungiewicz
Data Augmentation for Sentiment Analysis in English - The Online Approach. 584-595
Spiking Neural Networks I
- Alexander Vandesompele, Francis Wyffels, Joni Dambre
Dendritic Computation in a Point Neuron Model. 599-609 - Christoph Ostrau
Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware. 610-621 - Thomas Barbier
Unsupervised Learning of Spatio-Temporal Receptive Fields from an Event-Based Vision Sensor. 622-633 - Xianghong Lin, Pangao Du:
Spike-Train Level Unsupervised Learning Algorithm for Deep Spiking Belief Networks. 634-645
Spiking Neural Networks II
- Mireille Conrad
Modelling Neuromodulated Information Flow and Energetic Consumption at Thalamic Relay Synapses. 649-658 - Manuel Traub
Learning Precise Spike Timings with Eligibility Traces. 659-669 - Matús Tomko
Meta-STDP Rule Stabilizes Synaptic Weights Under in Vivo-like Ongoing Spontaneous Activity in a Computational Model of CA1 Pyramidal Cell. 670-680 - Shashwat Shukla, Rohan Pathak, Vivek Saraswat
Adaptive Chemotaxis for Improved Contour Tracking Using Spiking Neural Networks. 681-692
Text Understanding I
- Jian Wang, Ruifang He, Fengyu Guo, Yugui Han:
Mental Imagery-Driven Neural Network to Enhance Representation for Implicit Discourse Relation Recognition. 695-707 - Cheng Wang, Xiaoyan Fan:
Adaptive Convolution Kernel for Text Classification via Multi-channel Representations. 708-720 - Ting Hu, Christoph Meinel:
Text Generation in Discrete Space. 721-732 - Zhengping Ding, Chen Yan, Chunli Liu, Jianrui Ji, Yezheng Liu:
Short Text Processing for Analyzing User Portraits: A Dynamic Combination. 733-745 - Yinglong Ma
A Hierarchical Fine-Tuning Approach Based on Joint Embedding of Words and Parent Categories for Hierarchical Multi-label Text Classification. 746-757
Text Understanding II
- Konstantinos Skianis, Fragkiskos D. Malliaros, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Boosting Tricks for Word Mover's Distance. 761-772 - Haohao Song
Embedding Compression with Right Triangle Similarity Transformations. 773-785 - Mengdi Li
Neural Networks for Detecting Irrelevant Questions During Visual Question Answering. 786-797 - Anh-Duong Trinh, Robert J. Ross
F-Measure Optimisation and Label Regularisation for Energy-Based Neural Dialogue State Tracking Models. 798-810
Unsupervised Learning
- Guillaume Dupont, Ekaterina Kalinicheva
Unsupervised Change Detection Using Joint Autoencoders for Age-Related Macular Degeneration Progression. 813-824 - Yann Bernard, Nicolas Hueber, Bernard Girau:
A Fast Algorithm to Find Best Matching Units in Self-Organizing Maps. 825-837 - Cristian Axenie
Tumor Characterization Using Unsupervised Learning of Mathematical Relations Within Breast Cancer Data. 838-849 - Valerie Vaquet
Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data. 850-862 - Alexander Gepperth, Benedikt Pfülb:
A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models. 863-872 - Fatima Ezzahraa Ben Bouazza, Younès Bennani
Collaborative Clustering Through Optimal Transport. 873-885
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