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ORCID30th ICANN 2021: Bratislava, Slovakia - Part V
- 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 V. Lecture Notes in Computer Science 12895, Springer 2021, ISBN 978-3-030-86382-1
Representation Learning
- Jiaming Wu, Meng Liu, Jiangting Fan, Yong Liu, Meng Han:
SageDy: A Novel Sampling and Aggregating Based Representation Learning Approach for Dynamic Networks. 3-15 - Maitrey Gramopadhye, Shreyansh Singh, Kushagra Agarwal, Nitish Srivasatava, Alok Singh, Siddhartha Asthana, Ankur Arora:
CuRL: Coupled Representation Learning of Cards and Merchants to Detect Transaction Frauds. 16-29 - Dustin Aganian, Markus Eisenbach, Joachim Wagner, Daniel Seichter, Horst-Michael Gross:
Revisiting Loss Functions for Person Re-identification. 30-42 - Daeyoung Choi, Kyungeun Lee, Duhun Hwang, Wonjong Rhee:
Statistical Characteristics of Deep Representations: An Empirical Investigation. 43-55
Reservoir Computing
- Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz:
Unsupervised Pretraining of Echo State Networks for Onset Detection. 59-70 - Nathan Trouvain, Xavier Hinaut:
Canary Song Decoder: Transduction and Implicit Segmentation with ESNs and LTSMs. 71-82 - Xavier Hinaut, Nathan Trouvain:
Which Hype for My New Task? Hints and Random Search for Echo State Networks Hyperparameters. 83-97
Semi- and Unsupervised Learning
- Gaël Beck, Mustapha Lebbah, Hanene Azzag, Tarn Duong:
A New Nearest Neighbor Median Shift Clustering for Binary Data. 101-112 - Tiyu Fang, Zhen Liang, Xiuli Shao, Zihao Dong, Jinping Li:
Self-supervised Multi-view Clustering for Unsupervised Image Segmentation. 113-125 - Dino Ienco, Davi Pereira dos Santos, André C. P. L. F. de Carvalho:
Evaluate Pseudo Labeling and CNN for Multi-variate Time Series Classification in Low-Data Regimes. 126-137 - Vojtech Vancura, Pavel Kordík:
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP). 138-149 - Kai Zhang, Zheng Lian, Jiangmeng Li, Haichang Li, Xiaohui Hu:
Short Text Clustering with a Deep Multi-embedded Self-supervised Model. 150-161 - Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study. 162-173
Spiking Neural Networks
- Shigeo Sato, Satoshi Moriya, Yuka Kanke, Hideaki Yamamoto, Yoshihiko Horio, Yasushi Yuminaka, Jordi Madrenas:
A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model. 177-181 - Yihao Luo, Min Xu, Caihong Yuan, Xiang Cao, Liangqi Zhang, Yan Xu, Tianjiang Wang, Qi Feng:
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking. 182-194 - Oleg Nikitin, Olga Lukyanova, Alex Kunin:
The Principle of Weight Divergence Facilitation for Unsupervised Pattern Recognition in Spiking Neural Networks. 195-206 - Jayesh Choudhary, Vivek Saraswat, Udayan Ganguly:
Algorithm for 3D-Chemotaxis Using Spiking Neural Network. 207-219 - Melvin Ciurletti, Manuel Traub, Matthias Karlbauer, Martin V. Butz, Sebastian Otte:
Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning. 220-232 - Manuel Traub, Martin V. Butz, Robert Legenstein, Sebastian Otte:
Dynamic Action Inference with Recurrent Spiking Neural Networks. 233-244 - Daniel Auge, Julian Hille, Felix Kreutz, Etienne Mueller, Alois C. Knoll:
End-to-End Spiking Neural Network for Speech Recognition Using Resonating Input Neurons. 245-256
Text Understanding I
- Weidong Tian, Yuzheng Zhang, Bin He, Junjun Zhu, Zhongqiu Zhao:
Visual-Textual Semantic Alignment Network for Visual Question Answering. 259-270 - Youhui Guo, Yu Zhou, Xugong Qin, Weiping Wang:
Which and Where to Focus: A Simple yet Accurate Framework for Arbitrary-Shaped Nearby Text Detection in Scene Images. 271-283 - Meiling Li, Xiumei Li, Junmei Sun, Xinrui He:
STCP: An Efficient Model Combining Subject Triples and Constituency Parsing for Recognizing Textual Entailment. 284-296 - Kun Zhao, Hongwei Ding, Kai Ye, Xiaohui Cui, Zhongwang Fu:
A Latent Variable Model with Hierarchical Structure and GPT-2 for Long Text Generation. 297-308 - Yue Yu, Mutong Wu, Weifeng Su, Yiu-ming Cheung:
A Scoring Model Assisted by Frequency for Multi-Document Summarization. 309-320 - Yatu Ji, Lei Shi, Yi La Su, Qing-dao-er-ji Ren, Nier Wu, Hongbin Wang:
A Strategy for Referential Problem in Low-Resource Neural Machine Translation. 321-332 - Wuhang Lin, Jianling Li, Zibo Yi, Bin Ji, Shasha Li, Jie Yu, Jun Ma:
A Unified Summarization Model with Semantic Guide and Keyword Coverage Mechanism. 333-344 - Jiahao Hu, Yuanxin Ouyang, Chen Li, Chuanrui Wang, Wenge Rong, Zhang Xiong:
Hierarchical Lexicon Embedding Architecture for Chinese Named Entity Recognition. 345-356 - Dan Luo, Peng Zhang, Lu Ma, Xi Zhu, Meilin Zhou, Qi Liang, Bin Wang, Lihong Wang:
Evidence Augment for Multiple-Choice Machine Reading Comprehension by Weak Supervision. 357-368 - Tracy Goodluck Constance, Nikesh Bajaj, Marvin Rajwadi, Harry Maltby, Julie A. Wall, Mansour Moniri, Chris Woodruff, Thea Laird, James Laird, Cornelius Glackin, Nigel Cannings:
Resolving Ambiguity in Hedge Detection by Automatic Generation of Linguistic Rules. 369-380
Text Understanding II
- Zahra Rajabi, Özlem Uzuner, Amarda Shehu:
Detecting Scarce Emotions Using BERT and Hyperparameter Optimization. 383-395 - Marc-André Kaufhold, Markus Bayer, Daniel Hartung, Christian Reuter:
Design and Evaluation of Deep Learning Models for Real-Time Credibility Assessment in Twitter. 396-408 - Yue Shang, Meiling Liu, Tiejun Zhao, Jiyun Zhou:
T-Bert: A Spam Review Detection Model Combining Group Intelligence and Personalized Sentiment Information. 409-421 - Kai Ye, Yangheran Piao, Kun Zhao, Xiaohui Cui:
Graph Enhanced BERT for Stance-Aware Rumor Verification on Social Media. 422-435 - Ayaan Haque, Viraaj Reddi, Tyler Giallanza:
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction. 436-447 - Yuxin Liang, Rui Cao, Jie Zheng, Jie Ren, Ling Gao:
Learning to Remove: Towards Isotropic Pre-trained BERT Embedding. 448-459 - Amit Gajbhiye, Noura Al Moubayed, Steven Bradley:
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference. 460-472 - Yue Gao, Xiangling Fu, Xien Liu, Ji Wu:
Multi-features-Based Automatic Clinical Coding for Chinese ICD-9-CM-3. 473-486 - Somayeh Jafaritazehjani, Gwénolé Lecorvé, Damien Lolive, John D. Kelleher:
Style as Sentiment Versus Style as Formality: The Same or Different? 487-499
Transfer and Meta Learning
- Nier Wu, Hongxu Hou, Ziyue Guo, Wei Zheng:
Low-Resource Neural Machine Translation Using XLNet Pre-training Model. 503-514 - Aleksandra Malkova, Loïc Pauletto, Christophe Villien, Benoît Denis, Massih-Reza Amini:
Self-learning for Received Signal Strength Map Reconstruction with Neural Architecture Search. 515-526 - Haodong Chang, Yabo Chu:
Propagation-Aware Social Recommendation by Transfer Learning. 527-539 - Christoph Balada, Markus Eisenbach, Horst-Michael Gross:
Evaluation of Transfer Learning for Visual Road Condition Assessment. 540-551 - Vasco Lopes, Saeid Alirezazadeh, Luís A. Alexandre:
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search. 552-563 - Cheng Qi, Zhiyong Feng, Meng Xing, Yong Su:
DVAMN: Dual Visual Attention Matching Network for Zero-Shot Action Recognition. 564-575 - Ziyue Song, Zhiyuan Ma, Kaiyue Qi, Gongshen Liu:
Dynamic Tuning and Weighting of Meta-learning for NMT Domain Adaptation. 576-587 - Gil Rocha, Henrique Lopes Cardoso:
Improving Transfer Learning in Unsupervised Language Adaptation. 588-599 - Patrick Kinyua, Nicolas Jouandeau:
Sample-Label View Transfer Active Learning for Time Series Classification. 600-611
Video Processing
- Jiayuan Chen, Shuo Zhang, Xiaofei Chen, Qiao Jiang, Hejiao Huang, Chonglin Gu:
Learning Traffic as Videos: A Spatio-Temporal VAE Approach for Traffic Data Imputation. 615-627 - Viktor Kocur, Milan Ftácnik:
Traffic Camera Calibration via Vehicle Vanishing Point Detection. 628-639 - Changyu Li, Dongyang Zhang, Ning Xie, Jie Shao:
Efficient Spatio-Temporal Network with Gated Fusion for Video Super-Resolution. 640-651 - Hongtao Yu, Pengfei Zhu:
Adaptive Correlation Filters Feature Fusion Learning for Visual Tracking. 652-664 - Xuan Dang, Guolong Wang, Kun Xiong, Zheng Qin:
Dense Video Captioning for Incomplete Videos. 665-676 - Zhixin Sun, Xian Zhong, Shuqin Chen, Wenxuan Liu, Duxiu Feng, Lin Li:
Modeling Context-Guided Visual and Linguistic Semantic Feature for Video Captioning. 677-689
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