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ORCIDIJCNN 2021: Shenzhen, China
- International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021. IEEE 2021, ISBN 978-1-6654-3900-8
- Mingchao Li, Haozhuang Liu, Yang Wang, Hai-Tao Zheng:
Bilingual Self-Attention Network: Generating Headlines for Online Linguistic Questions. 1-8 - Iana Sereda, Grigory V. Osipov:
How saccadic vision might help with the interpretability of deep networks. 1-7 - Shanding Ye, Han Yao, Wenfu Wang, Yongjian Fu, Zhijie Pan:
SDAPNet: End-to-End Multi-task Simultaneous Detection and Prediction Network. 1-8 - Lei Zhong, Changmin Bai, Jianfeng Li
:
Generating full-view face images from a single-view image. 1-6 - Rachit S. Munjal, Manoj Goyal, Rutika Moharir, Sukumar Moharana:
TeLCoS: OnDevice Text Localization with Clustering of Script. 1-8 - Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification. 1-8 - Yalan Guo, Yulei Wu, Yanchao Zhu, Bingqiang Yang, Chunjing Han:
Anomaly Detection using Distributed Log Data: A Lightweight Federated Learning Approach. 1-8 - Victor Villena-Martinez, Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló, Robert B. Fisher:
Local-Global based Deep Registration Neural Network for Rigid Alignment. 1-8 - Yao Xiao, Jingbo Peng, Luoyi Fu, Haisong Zhang:
Bag of Tricks for Chinese Named Entity Recognition. 1-8 - Yue Liu, Kai Zhu, Zitu Liu:
SSRNAS: Search Space Reduced One-shot NAS by a Recursive Attention-based Predictor with Cell Tensor-flow Diagram. 1-8 - Junrui Zhang, Yun Mo, Changzhi Chen, Xiaofeng He:
GKT-CD: Make Cognitive Diagnosis Model Enhanced by Graph-based Knowledge Tracing. 1-8 - Chandranath Adak, Xian Tao:
BigyaPAn: Deep Analysis of Old Paper Advertisement. 1-9 - Xurui Ma, Zhigang Luo, Xiang Zhang, Qing Liao, Xingyu Shen, Mengzhu Wang:
Spatio-Temporal Action Detector with Self-Attention. 1-8 - Zixuan Zhao, Zihao Zhao, Song Wang, Paul Watta, Yi Lu Murphey:
Pedestrian Re-identification using a Surround-view Fisheye Camera System. 1-8 - Marco Klaiber, Daniel Sauter, Hermann Baumgartl, Ricardo Buettner:
A Systematic Literature Review on Transfer Learning for 3D-CNNs. 1-10 - Toshi Sinha, Brijesh K. Verma:
Auto-Associative Features with Non-Iterative Learning Based Technique for Image Classification. 1-6 - Xiaolu Wang, Wenyong Zhang, Xin Shen, Huikang Liu:
Joint Distribution Adaptation via Wasserstein Adversarial Training. 1-8 - Xue Jiang, Jianhui Zhao, Bo Du, Zhiyong Yuan:
Self-supervised Contrastive Learning for EEG-based Sleep Staging. 1-8 - Simon Arvidsson, Patrick Gabrielsson, Ulf Johansson:
Texture Mapping of Flags onto Polandball Characters using Convolutional Neural Nets. 1-7 - Yuliya Tsybina, Susanna Yu Gordleeva, Mikhail Krivonosov, Innokentiy Kastalskiy, Alexey Zaikin, Alexander N. Gorban:
Modelling working memory in neuron-astrocyte network. 1-6 - Danilo Coura Moreira, Eanes Torres Pereira, Marco Álvarez:
Improving Real Age Estimation from Apparent Age Data. 1-7 - Haoming Guo, Wei Xu, Song Qiu:
Unsupervised low-light Image Enhancement with Quality-Task-Perception Loss. 1-8 - Ke-Ming Ding, Tsukasa Kimura, Ken-ichi Fukui, Masayuki Numao:
EEG emotion Enhancement using Task-specific Domain Adversarial Neural Network. 1-8 - Scott V. Notley, Yunhui Chen, Peter D. Lee, George Panoutsos:
Variance Stabilised Optimisation of Neural Networks: A Case Study in Additive Manufacturing. 1-7 - Mauajama Firdaus, Arunav Pratap Shandilya, Sthita Pragyan Pujari, Asif Ekbal:
Attribute Centered Multimodal Response Generation in a Dialogue System. 1-8 - Julio Cezar Soares Silva, David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Adiel Teixeira de Almeida Filho:
Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders. 1-7 - Shuang Yun, Bo Du, Yuren Mao:
Robust Deep Multi-task Learning Framework for Cancer Survival Analysis. 1-8 - Gianlucca L. Zuin, Felipe Marcelino, Lucas Borges, João Couto, Victor Jorge, Mychell Laurindo, Glaucio Barcelos, Márcio Cunha, Valdeci Alvarenga, Henrique Rodrigues, Paulo Balsamo, Adriano Veloso:
Predicting Heating Sliver in Duplex Stainless Steels Manufacturing through Rashomon Sets. 1-8 - Cameron Diao, Denis Kleyko, Jan M. Rabaey, Bruno A. Olshausen:
Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing. 1-9 - Konrad Czechowski, Piotr Januszewski, Piotr Kozakowski, Lukasz Kucinski, Piotr Milos:
Structure and Randomness in Planning and Reinforcement Learning. 1-8 - Yunong Zhang, Zhenyu Li, Min Yang, Peng Yu, Ning Tan:
Gradient-Zhang Neural Dynamics Models Computing Pseudoinverses of Time-Varying Matrices via ZeaD and Extrapolation Formulas. 1-9 - Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman:
Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network. 1-8 - Glenn Dawson, Robi Polikar:
OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking. 1-8 - Masanari Kimura, Ryohei Izawa:
Density-Fixing: Simple yet Effective Regularization Method based on the Class Priors. 1-8 - Mingu Kang, Trung Quang Tran, Seung Ju Cho, Daeyoung Kim:
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification. 1-8 - Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach. 1-9 - Shijie Fang, Tong Lin:
Intra-Model Collaborative Learning of Neural Networks. 1-7 - Wenkang Li, Ke Qi, Wenbin Chen, Yicong Zhou:
Unified Batch All Triplet Loss for Visible-Infrared Person Re-identification. 1-8 - Jinjin Guo, Binbin Qiu, Min Yang, Yunong Zhang:
Zhang Neural Network Model for Solving LQ Decomposition Problem of Dynamic Matrix With Application to Mobile Object Localization. 1-6 - Alessandro Salatiello, Martin A. Giese:
Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses. 1-8 - Fan Yu, Jiawei Guo, Wei Xi, Zhao Yang, Rui Jiang, Chao Zhang:
Audio DistilBERT: A Distilled Audio BERT for Speech Representation Learning. 1-8 - Nannan Tian, Yong Liu, Weiping Wang, Dan Meng:
Automatic CNN Compression Based on Hyper-parameter Learning. 1-8 - Sebastian Cygert, Bartlomiej Wróblewski, Karol Wozniak, Radoslaw Slowinski, Andrzej Czyzewski:
Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift. 1-8 - Elaine Cecília Gatto, Mauri Ferrandin, Ricardo Cerri:
Exploring Label Correlations for Partitioning the Label Space in Multi-label Classification. 1-8 - Yuzhuo Liu, Hangting Chen, Yun Wang, Pengyuan Zhang:
Power Pooling: An Adaptive Pooling Function for Weakly Labelled Sound Event Detection. 1-7 - Kyrill Schmid, Robert Müller, Lenz Belzner, Johannes Tochtermann, Claudia Linnhoff-Popien:
Distributed Emergent Agreements with Deep Reinforcement Learning. 1-8 - Yoshihiro Okawa, Kenichi Kobayashi:
Concept Drift Detection via Boundary Shrinking. 1-8 - Liu He, Qing'an Li, Libing Wu, Min Wang, Jianxin Li, Dan Wu:
A Spatial-Temporal Graph Attention Network for Multi-intersection Traffic Light Control. 1-8 - Pengxiang Shi, Wenhui Yu, Yang Liu, Zheng Qin:
Dual Convolutional Neural Network for Lung Nodule Classification. 1-7 - Xuli Sun, Shiliang Sun:
Multi-view Defense with Adversarial Autoencoders. 1-7 - Yong Yang, Xiangkai Kong, Shuying Huang, Weiguo Wan, Jiaxiang Liu, Wang Zhang:
Infrared and Visible Image Fusion Based on Multiscale Network with Dual-channel Information Cross Fusion Block. 1-7 - Zekun Li, Yufan Liu, Bing Li, Weiming Hu, Xue Zhou:
Adaptive Coarse-to-Fine Interactor for Multi-Scale Object Detection. 1-8 - Jiarui Xie, Thierry Chateau, Violaine Antoine:
A subjective-logic-based model uncertainty estimation mechanism for out-of-domain detection. 1-6 - Pengju Shuai, Zixi Wei, Sishun Liu, Xiaofei Xu, Li Li:
Topic Enhanced Multi-head Co-Attention: Generating Distractors for Reading Comprehension. 1-8 - Heidi Komkov, Liam Pocher, Alessandro Restelli, Brian Hunt, Daniel P. Lathrop:
RF Signal Classification using Boolean Reservoir Computing on an FPGA. 1-9 - Wenfeng Yin, Gang Dong, Yaqian Zhao, Rengang Li:
Coresets Application in Channel Pruning for Fast Neural Network Slimming. 1-8 - Li Tian, Liyan Ma, Zhijie Wen, Shaorong Xie, Yupeng Xu:
Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading. 1-8 - Haojie Huang, Raymond K. Wong:
BiLSTM Embedding Pretraining for Relation Extraction. 1-8 - Chunwei Wu, Guitao Cao, Wenming Cao, Hong Wang, He Ren:
Debiased Prototype Network for Adversarial Domain Adaptation. 1-8 - Zhaoxin Luo, Michael Zhu:
Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing. 1-8 - Ying Tian, Zerui Li, Min Liu, Kazushige Ouchi, Long Yan, Dan Zhao:
End-to-end speech recognition with Alignment RNN-Transducer. 1-5 - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou:
Importance Reweighting for Biquality Learning. 1-8 - Bohao Zhang, Changbo Wang, Chenhui Li:
NVNet: An Enhanced Attention Network for Segmenting Neck Vascular from Ultrasound Images. 1-8 - Gusztáv Bártfai:
An Adaptive Resonance Theory-based Neural Network for Autonomous Learning via Iterative Knowledge Redescription. 1-8 - Yan Zhao, Jihong Zhu, Haoyu Liang, Lyujie Chen:
3D Object Detection on large-scale dataset. 1-7 - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou:
From Weakly Supervised Learning to Biquality Learning: an Introduction. 1-10 - Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu:
UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. 1-8 - Mingrong Xiang, Jingyu Hou, Wei Luo, Wenjing Tao, Deshou Wang:
Impute Gene Expression Missing Values via Biological Networks: Optimal Fusion of Data and Knowledge. 1-8 - Shizhen Fan, Jianbo Li, Zhiqiang Lv, Aite Zhao:
Multimodal Traffic Travel Time Prediction. 1-9 - Cristiano Cervellera, Danilo Macciò, Francesco Rebora:
Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation. 1-8 - Mirko Polato:
Federated Variational Autoencoder for Collaborative Filtering. 1-8 - Patrick Sharma, Adarsh Karan Sharma, Dinesh Kumar, Anuraganand Sharma:
A Strategic Weight Refinement Maneuver for Convolutional Neural Networks. 1-7 - Luís Gonçalves, Renato Vimieiro:
Approaching authorship attribution as a multi-view supervised learning task. 1-8 - Youliang Yuan, Jiaxin Pan, Xu Jia, Luchen Liu, Min Peng:
DCEN: A Decoupled Context Enhanced Network For Few-shot Slot Tagging. 1-7 - Saurabh Kumar, Siddharth Dangwal, Soumik Adhikary, Debanjan Bhowmik:
A Quantum Activation Function for Neural Networks: Proposal and Implementation. 1-8 - Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Dual Head Adversarial Training. 1-8 - Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. 1-8 - Victor Henrique Alves Ribeiro, Paulo R. Cavalin, Edmilson da Silva Morais:
A Dynamic Multi-criteria Multi-engine Approach for Text Simplification. 1-8 - Kart-Leong Lim:
Deep Clustering using Dirichlet Process Gaussian Mixture. 1-7 - Supriyo Mandal, Abyayananda Maiti:
Graph Neural Networks for Heterogeneous Trust based Social Recommendation. 1-8 - Wael Alzhrani, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov:
Emotion Recognition and Understanding Using EEG Data in A Brain-Inspired Spiking Neural Network Architecture. 1-9 - Hangyu Deng, Jia Luo, Jinglu Hu:
Attentive Relation Network for Object based Video Games. 1-6 - Weidong Liu, Haochen Zhang, Xu Guo, Yong Han:
Graph Convolutional Network Based Patent Issue Discovery Model. 1-8 - Nishchal Prasad, Sriparna Saha, Pushpak Bhattacharyya:
A Multimodal Classification of Noisy Hate Speech using Character Level Embedding and Attention. 1-8 - Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings. 1-8 - Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski:
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition. 1-8 - Eduardo Rivas-Posada, Mario I. Chacon Murguia:
General meta-learning paradigm based on prior-models, meta-model, meta-algorithm, and few-shot-base-model. 1-8 - Lucca Portes Cavalheiro, Marco Antonio Zanata Alves, Jean Paul Barddal:
Towards the Overcome of Performance Pitfalls in Data Stream Mining Tools. 1-6 - Sabrina S. Panceri, Filipe Wall Mutz, Vinicius B. Cardoso, Raphael V. Carneiro, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza:
Detecting Cancerous Tissue in Mammograms Using Deep Neural Networks. 1-8 - Qingyun Deng, Yinyan Zhang:
Distributed Near-Optimal Consensus of Double-Integrator Multi-Agent Systems With Input Constraints. 1-6 - Julia Gastinger, Sébastien Nicolas, Dusica Stepic, Mischa Schmidt, Anett Schülke:
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning. 1-8 - Bartosz Krawczyk, Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz:
Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification. 1-7 - Ruoran Huang, Chuanqi Han, Li Cui:
Tag-aware Attentional Graph Neural Networks for Personalized Tag Recommendation. 1-8 - Xiwei Liu, Yuntao Wei:
Finite-Time Synchronization Under Aperiodically Intermittent Control and its Application on Spatially Coupled Reaction-Diffusion Neural Networks. 1-7 - Jiongmin Zhang, Xing Yang, Ying Qian:
Drug-drug Interaction Prediction with Common Structural Patterns. 1-7 - Xiang Lan, Dianwen Ng, Yi Liu, Jiongzhou Liu, Fan Xu, Cheng He, Mengling Feng:
Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction. 1-8 - Zheping Liu, Nasser R. Sabar, Andy Song:
Partial Transfer Learning for Fast Evolutionary Generative Adversarial Networks. 1-7 - Wancheng Mo, Jianming Lv:
Cascaded Hierarchical Context-Aware Vehicle Re-Identification. 1-8 - Xiaoliu Luo, Taiping Zhang, Zhao Duan, Jin Tan:
Target-aware for Few-shot Segmentation. 1-8 - Zhiyi Zhang, Xianzhong Long, Yun Li:
Scene Image Classification Based on Improved VLAD Reprensentation. 1-8 - Wolfgang Bottcher, Pedro Machado, Nikesh Lama, T. M. McGinnity:
Object recognition for robotics from tactile time series data utilising different neural network architectures. 1-8 - Kriti Kumar, Saurabh Sahu, Angshul Majumdar, M. Girish Chandra:
AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. 1-7 - Matthias Möller, Johannes Twiefel, Cornelius Weber, Stefan Wermter:
Controlling the Noise Robustness of End-to-End Automatic Speech Recognition Systems. 1-8 - Shanshan Zhang, Tiancheng Huang, Donglin Wang:
Sequence Contained Heterogeneous Graph Neural Network. 1-8 - Nikolaos Tziortziotis, Yang Qiu, Martial Hue, Michalis Vazirgiannis:
Audience expansion based on user browsing history. 1-8 - Yuzhong Jiao, Sha Li, Xiao Huo, Yiu Kei Li:
Synchronous Weight Quantization-Compression for Low-Bit Quantized Neural Network. 1-8 - Paolo Arena, Pierfrancesco Sueri, Salvatore Taffara, Luca Patanè:
MPC-based control strategy of a neuro-inspired quadruped robot. 1-8 - Tao Li, Qinglai Wei, Hongyang Li, Ruizhuo Song:
Policy Iteration Algorithm for Constrained Cost Optimal Control of Discrete-Time Nonlinear System. 1-6 - Xihong Ye, Lu Lu:
CcGL-GAN: Criss-Cross Attention and Global-Local Discriminator Generative Adversarial Networks for text-to-image synthesis. 1-8 - Zhongtian Xu, Jingwei Sun, Yunjie Liu, Guangzhong Sun:
An Efficient Channel-level Pruning for CNNs without Fine-tuning. 1-8 - Tianbao Liang, Jianming Lv, Hualiang Li, Yuzhong Liu:
NPLP: A Noisy Pseudo-Label Processing Approach for Unsupervised Domain-Adaptive Person Re-ID. 1-8 - Feng Luo, Xiu Li, Bin-Bin Gao, Jiangpeng Yan:
A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation. 1-8 - Muhammad Umer, Robi Polikar:
Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models. 1-8 - Takato Okudo, Seiji Yamada:
Reward Shaping with Dynamic Trajectory Aggregation. 1-9 - Liting Liu, Wenzheng Zhang, Jie Liu, Wenxuan Shi, Yalou Huang:
Learning Multi-Graph Neural Network for Data-Driven Job Skill Prediction. 1-8 - Daniel K. Park, Carsten Blank, Francesco Petruccione:
Robust quantum classifier with minimal overhead. 1-7