Neural Information Processing

Table of Contents

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   Book Overview
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   Chapter 1 Metric Learning Based Vision Transformer for Product Matching
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   Chapter 2 Stochastic Recurrent Neural Network for Multistep Time Series Forecasting
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   Chapter 3 Speaker Verification with Disentangled Self-attention
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   Chapter 4 Multi Modal Normalization
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   Chapter 5 A Focally Discriminative Loss for Unsupervised Domain Adaptation
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   Chapter 6 Automatic Drum Transcription with Label Augmentation Using Convolutional Neural Networks
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   Chapter 7 Adaptive Curriculum Learning for Semi-supervised Segmentation of 3D CT-Scans
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   Chapter 8 Genetic Algorithm and Distinctiveness Pruning in the Shallow Networks for VehicleX
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    Chapter 9 Stack Multiple Shallow Autoencoders into a Strong One: A New Reconstruction-Based Method to Detect Anomaly
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    Chapter 10 Learning Discriminative Representation with Attention and Diversity for Large-Scale Face Recognition
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    Chapter 11 Multi-task Perceptual Occlusion Face Detection with Semantic Attention Network
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    Chapter 12 RAIDU-Net: Image Inpainting via Residual Attention Fusion and Gated Information Distillation
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    Chapter 13 Sentence Rewriting with Few-Shot Learning for Document-Level Event Coreference Resolution
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    Chapter 14 A Novel Metric Learning Framework for Semi-supervised Domain Adaptation
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    Chapter 15 Generating Adversarial Examples by Distributed Upsampling
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    Chapter 16 CPSAM: Channel and Position Squeeze Attention Module
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    Chapter 17 A Multi-Channel Graph Attention Network for Chinese NER
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    Chapter 18 GSNESR: A Global Social Network Embedding Approach for Social Recommendation
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    Chapter 19 Classification Models for Medical Data with Interpretative Rules
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    Chapter 20 Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning
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    Chapter 21 Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing
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    Chapter 22 MA-GAN: A Method Based on Generative Adversarial Network for Calligraphy Morphing
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    Chapter 23 One-Stage Open Set Object Detection with Prototype Learning
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    Chapter 24 Aesthetic-Aware Recommender System for Online Fashion Products
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    Chapter 25 DAFD: Domain Adaptation Framework for Fake News Detection
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    Chapter 26 Document Image Classification Method Based on Graph Convolutional Network
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    Chapter 27 Continual Learning of 3D Point Cloud Generators
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    Chapter 28 Attention-Based 3D ResNet for Detection of Alzheimer’s Disease Process
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    Chapter 29 Generation of a Large-Scale Line Image Dataset with Ground Truth Texts from Page-Level Autograph Documents
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    Chapter 30 DAP-BERT: Differentiable Architecture Pruning of BERT
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    Chapter 31 Trash Detection on Water Channels
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    Chapter 32 Tri-Transformer Hawkes Process: Three Heads are Better Than One
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    Chapter 33 PhenoDeep: A Deep Learning-Based Approach for Detecting Reproductive Organs from Digitized Herbarium Specimen Images
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    Chapter 34 Document-Level Event Factuality Identification Using Negation and Speculation Scope
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    Chapter 35 Dynamic Network Embedding by Time-Relaxed Temporal Random Walk
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    Chapter 36 Dual-Band Maritime Ship Classification Based on Multi-layer Convolutional Features and Bayesian Decision
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    Chapter 37 Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring
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    Chapter 38 Domain-Adaptation Person Re-Identification via Style Translation and Clustering
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    Chapter 39 Multimodal Named Entity Recognition via Co-attention-Based Method with Dynamic Visual Concept Expansion
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    Chapter 40 Ego Networks
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    Chapter 41 Cross-Modal Based Person Re-identification via Channel Exchange and Adversarial Learning
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    Chapter 42 SPBERT: an Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs
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    Chapter 43 Deep Neuroevolution: Training Neural Networks Using a Matrix-Free Evolution Strategy
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    Chapter 44 Weighted P-Rank: a Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network
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    Chapter 45 Clustering Friendly Dictionary Learning
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    Chapter 46 Understanding Test-Time Augmentation
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    Chapter 47 SphereCF: Sphere Embedding for Collaborative Filtering
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    Chapter 48 Concordant Contrastive Learning for Semi-supervised Node Classification on Graph
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    Chapter 49 Improving Shallow Neural Networks via Local and Global Normalization
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    Chapter 50 Underwater Acoustic Target Recognition with Fusion Feature
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    Chapter 51 Evaluating Data Characterization Measures for Clustering Problems in Meta-learning
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    Chapter 52 ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-Aware Supervision Information
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    Chapter 53 Image Periodization for Convolutional Neural Networks
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    Chapter 54 BCN-GCN: A Novel Brain Connectivity Network Classification Method via Graph Convolution Neural Network for Alzheimer’s Disease
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    Chapter 55 Triplet Mapping for Continuously Knowledge Distillation
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    Chapter 56 A Prediction-Augmented AutoEncoder for Multivariate Time Series Anomaly Detection