Neural information processing : 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings. Part I

Neural information processing : Part I / 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings. Teddy Mantoro, Minho Lee, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto (eds.).

The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an onl...

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Bibliographic Details
Corporate Author: ICONIP (Conference) Online)
Other Authors: Mantoro, Teddy (Editor), Lee, Minho (Editor), Ayu, Media (Editor), Wong, Kok Wai (Editor), Hidayanto, Achmad Nizar (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, 2021.
Series:Lecture notes in computer science ; 13108.
LNCS sublibrary. Theoretical computer science and general issues.
Subjects:
Neural networks (Computer science) > Congresses.
Neural networks (Computer science)
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Theory and Algorithms
  • Metric Learning Based Vision Transformer for Product Matching
  • Stochastic Recurrent Neural Network for Multistep Time Series Forecasting
  • Speaker Verification with Disentangled Self-Attention
  • Multi Modal Normalization
  • A Focally Discriminative Loss for Unsupervised Domain Adaptation
  • Automatic Drum Transcription with Label Augmentation using Convolutional Neural Networks
  • Adaptive Curriculum Learning for Semi-Supervised Segmentation of 3D CT-Scans
  • Genetic Algorithm and Distinctiveness Pruning in the Shallow Networks for VehicleX
  • Stack Multiple Shallow Autoencoders into A Strong One: A New Reconstruction-based Method to Detect Anomaly
  • Learning Discriminative Representation with Attention and Diversity for Large-scale Face Recognition
  • Multi-task Perceptual Occlusion Face Detection with Semantic Attention Network
  • RAIDU-Net: Image Inpainting via Residual Attention Fusion and Gated Information Distillation
  • Sentence Rewriting with Few-Shot Learning for Document-Level Event Coreference Resolution
  • A Novel Metric Learning Framework for Semi-supervised Domain Adaptation
  • Generating Adversarial Examples by Distributed Upsampling
  • CPSAM: Channel and Position Squeeze Attention Module
  • A Multi-Channel Graph Attention Network for Chinese NER
  • GSNESR: A Global Social Network Embedding Approach for Social Recommendation
  • Classification Models for Medical Data with Interpretative Rules
  • Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning
  • Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing
  • MA-GAN: A Method Based on Generative Adversarial Network for Calligraphy Morphing
  • One-Stage Open Set Object Detection with Prototype Learning
  • Aesthetic-aware Recommender System for Online Fashion Products
  • DAFD: Domain Adaptation Framework for Fake News Detection
  • Document Image Classification Method based on Graph Convolutional Network
  • Continual Learning of 3D Point Cloud Generators
  • Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process
  • Generation of a Large-Scale Line Image Dataset with Ground Truth Texts from Page-Level Autograph Documents
  • DAP-BERT: Differentiable Architecture Pruning of BERT
  • Trash Detection On Water Channels
  • Tri-Transformer Hawkes Process: Three Heads are better than one
  • PhenoDeep: A deep Learning-based approach for detecting reproductive organs from digitized herbarium specimen images
  • Document-level Event Factuality Identification using Negation and Speculation Scope
  • Dynamic Network Embedding by Time-Relaxed Temporal Random Walk
  • Dual-band Maritime Ship Classification based on Multi-layer Convolutional Features and Bayesian Decision
  • Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring
  • Domain-Adaptation Person Re-Identification via Style Translation and Clustering
  • Multimodal Named Entity Recognition Via Co-attention-based Method with Dynamic Visual Concept Expansion
  • Ego Networks
  • Cross-modal based Person Re-Identification via Channel Exchange and adversarial Learning
  • SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs
  • Deep Neuroevolution: Training Neural Networks using a Matrix-free Evolution Strategy
  • Weighted P-Rank: A Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network
  • Clustering Friendly Dictionary Learning
  • Understanding Test-Time Augmentation
  • SphereCF: Sphere Embedding for Collaborative Filtering
  • Concordant Contrastive Learning for Semi-supervised Node Classification on Graph
  • Improving Shallow Neural Networks via Local and Global Normalization
  • Underwater Acoustic Target Recognition with Fusion Feature
  • Evaluating Data Characterization Measures for Clustering Problems in Meta-learning
  • ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-aware Supervision Information
  • Image Periodization for Convolutional Neural Networks
  • BCN-GCN: A Novel Brain Connectivity Network Classification Method via Graph Convolution Neural Network for Alzheimer's Disease
  • Triplet Mapping for Continuously Knowledge Distillation
  • A Prediction-Augmented AutoEncoder for Multivariate Time Series Anomaly Detection.

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