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ORCID30th ICANN 2021: Bratislava, Slovakia - Part I
- Igor Farkas
, Paolo Masulli, Sebastian Otte, Stefan Wermter:
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12891, Springer 2021, ISBN 978-3-030-86361-6
Adversarial Machine Learning
- Eliska Kloberdanz, Jin Tian, Wei Le:
An Improved (Adversarial) Reprogramming Technique for Neural Networks. 3-15 - Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons. 16-28 - Niklas Risse, Christina Göpfert, Jan Philip Göpfert:
How to Compare Adversarial Robustness of Classifiers from a Global Perspective. 29-41 - Patrick P. K. Chan, Yaxuan Wang, Natasha Kees, Daniel S. Yeung:
Multiple-Model Based Defense for Deep Reinforcement Learning Against Adversarial Attack. 42-53 - Lin Qiao, Yida Li, ChenLi Zhong:
Neural Paraphrase Generation with Multi-domain Corpus. 54-66 - Kai Dang, Jiaying Xie, Jie Liu:
Leveraging Adversarial Training to Facilitate Grammatical Error Correction. 67-78 - Chengqiang Huang, Hu Zheng, Xiaowei Huang, Ke Pei:
Statistical Certification of Acceptable Robustness for Neural Networks. 79-90 - Tommy Li, Cory E. Merkel:
Model Extraction and Adversarial Attacks on Neural Networks Using Switching Power Information. 91-101
Anomaly Detection
- Weiqin Lin, Xianyu Bao, Mark Junjie Li:
CmaGraph: A TriBlocks Anomaly Detection Method in Dynamic Graph Using Evolutionary Community Representation Learning. 105-116 - Peng Xu, Claudia Eckert, Apostolis Zarras:
Falcon: Malware Detection and Categorization with Network Traffic Images. 117-128 - Sanket Mishra, Varad Kshirsagar, Rohit Dwivedula, Chittaranjan Hota:
Attention-Based Bi-LSTM for Anomaly Detection on Time-Series Data. 129-140 - Zhicheng Lun, Xiaoyan Gu, Haihui Fan, Bo Li, Weiping Wang:
Semi-supervised Graph Edge Convolutional Network for Anomaly Detection. 141-152 - Zander Blasingame, Chen Liu, Xin Yao:
Feature Creation Towards the Detection of Non-control-Flow Hijacking Attacks. 153-164
Attention and Transformers I
- Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars:
An Attention Module for Convolutional Neural Networks. 167-178 - Naresh S. Iyer, Sathyanarayanan Raghavan, Yiming Zhang, Yang Jiao, Dean Robinson:
Attention-Based 3D Neural Architectures for Predicting Cracks in Designs. 179-190 - Xinyi Bai, Nan Yin, Xiang Zhang, Xin Wang, Zhigang Luo:
Entity-Aware Biaffine Attention for Constituent Parsing. 191-203 - Feifei Dai, Xiaoyan Gu, Zhuo Wang, Bo Li, Mingda Qian, Weiping Wang:
Attention-Based Multi-view Feature Fusion for Cross-Domain Recommendation. 204-216 - Xiaoyi Wang, Jun Huang:
Say in Human-Like Way: Hierarchical Cross-modal Information Abstraction and Summarization for Controllable Captioning. 217-228 - Simon Tihon, Muhammad Usama Javaid, Damien Fourure, Nicolas Posocco, Thomas Peel:
DAEMA: Denoising Autoencoder with Mask Attention. 229-240 - Yongchao Ye, Shiyao Zhang, James J. Q. Yu:
Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network. 241-252 - Ziming Wang, Jun Chen, Haopeng Chen:
EGAT: Edge-Featured Graph Attention Network. 253-264
Attention and Transformers II
- Chaojie Liang, Jingying Yang, Xianghua Fu:
Knowledge Graph Enhanced Transformer for Generative Question Answering Tasks. 267-280 - Rufin VanRullen, Andrea Alamia:
GAttANet: Global Attention Agreement for Convolutional Neural Networks. 281-293 - Stephanie Ger, Diego Klabjan, Jean Utke:
Classification Models for Partially Ordered Sequences. 294-305 - Xiaozhuang Song, Yongchao Ye, James J. Q. Yu:
TINet: Multi-dimensional Traffic Data Imputation via Transformer Network. 306-317 - Xuelong Zhang, Juntao Zhang, Nanzhou Lin, Xiandi Yang:
Sequential Self-Attentive Model for Knowledge Tracing. 318-330 - Ran Tian, Xiang Zhang, Donghang Chen, Yujie Hu:
Multi-object Tracking Based on Nearest Optimal Template Library. 331-342 - Xiaozhuang Song, Ying Wu, Chenhan Zhang:
TSTNet: A Sequence to Sequence Transformer Network for Spatial-Temporal Traffic Prediction. 343-354
Audio and Multimodal Applications
- Ying Li, Jie Shen, Xin Xiong, Wei He, Peng Li, Wenjie Yan:
A Multimode Two-Stream Network for Egocentric Action Recognition. 357-368 - Anwesh Mohanty, Adrian Frischknecht, Christoph Gerum, Oliver Bringmann:
Behavior of Keyword Spotting Networks Under Noisy Conditions. 369-378 - Yapeng Gao, Jonas Tebbe, Andreas Zell:
Robust Stroke Recognition via Vision and IMU in Robotic Table Tennis. 379-390 - Wen Youpeng, Hongxiang Lin, Guo Yiju, Zhao Liang:
AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation. 391-402 - Keyu Wen, Linyang Li, Xiaodong Gu:
Enhancing Separate Encoding with Multi-layer Feature Alignment for Image-Text Matching. 403-414 - Roman Shrestha, Cornelius Glackin, Julie A. Wall, Nigel Cannings:
Bird Audio Diarization with Faster R-CNN. 415-426 - Jiaan Wang, Zhixu Li, Binbin Gu, Tingyi Zhang, Qingsheng Liu, Zhigang Chen:
Multi-modal Chorus Recognition for Improving Song Search. 427-438 - Hugo C. C. Carneiro, Cornelius Weber, Stefan Wermter:
FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection. 439-450
Bioinformatics and Biosignal Analysis
- Jing Peng, Chengchuang Lin, Gansen Zhao, Aihua Yin, Hanbiao Chen, Li Guo, Shuangyin Li:
Identification of Incorrect Karyotypes Using Deep Learning. 453-464 - Peng Ke, Yuqi Wen, Zhongnan Zhang, Song He, Xiaochen Bo:
A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network. 465-476 - Juncheng Ding, Wei Jin:
Evaluating Multiple-Concept Biomedical Hypotheses Based on Deep Sets. 477-490 - Han Zhang, Chengbin Hou, David W. McDonald, Shan He:
A Network Embedding Based Approach to Drug-Target Interaction Prediction Using Additional Implicit Networks. 491-503
Capsule Networks
- Yinchu Wang, Haijiang Zhu, Mengze Liu:
CNNapsule: A Lightweight Network with Fusion Features for Monocular Depth Estimation. 507-518 - Ming-fei Hu, Jian-wei Liu, Weimin Li:
Learning Optimal Primary Capsules by Information Bottleneck. 519-528 - Riccardo Renzulli, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto:
Capsule Networks with Routing Annealing. 529-540 - Josef Gugglberger, David Peer, Antonio Jose Rodríguez-Sánchez:
Training Deep Capsule Networks with Residual Connections. 541-552
Cognitive Models
- Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi:
Interpretable Visual Understanding with Cognitive Attention Network. 555-568 - Jessica Lopez-Hazas, Francisco B. Rodríguez:
A Bio-Inspired Mechanism Based on Neural Threshold Regulation to Compensate Variability in Network Connectivity. 569-580 - Louis Annabi, Alexandre Pitti, Mathias Quoy:
A Predictive Coding Account for Chaotic Itinerancy. 581-592 - Norman Seeliger, Jochen Triesch:
A Computational Model of the Effect of Short-Term Monocular Deprivation on Binocular Rivalry in the Context of Amblyopia. 593-603 - Tomoki Kurikawa:
Transitions Among Metastable States Underlie Context-Dependent Working Memories in a Multiple Timescale Network. 604-613
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