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Neural Information Processing

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Cover of 'Neural Information Processing'

Table of Contents

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    Book Overview
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    Chapter 1 PBTR: Pre-training and Bidirectional Semantic Enhanced Trajectory Recovery
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    Chapter 2 Event-Aware Document-Level Event Extraction via Multi-granularity Event Encoder
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    Chapter 3 Curve Enhancement: A No-Reference Method for Low-Light Image Enhancement
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    Chapter 4 A Deep Joint Model of Multi-scale Intent-Slots Interaction with Second-Order Gate for SLU
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    Chapter 5 Instance-Aware and Semantic-Guided Prompt for Few-Shot Learning in Large Language Models
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    Chapter 6 Graph Attention Network Knowledge Graph Completion Model Based on Relational Aggregation
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    Chapter 7 SODet: A LiDAR-Based Object Detector in Bird’s-Eye View
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    Chapter 8 Landmark-Assisted Facial Action Unit Detection with Optimal Attention and Contrastive Learning
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    Chapter 9 Multi-scale Local Region-Based Facial Action Unit Detection with Graph Convolutional Network
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    Chapter 10 CRE: An Efficient Ciphertext Retrieval Scheme Based on Encoder
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    Chapter 11 Sentiment Analysis Based on Pretrained Language Models: Recent Progress
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    Chapter 12 Improving Out-of-Distribution Detection with Margin-Based Prototype Learning
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    Chapter 13 Text-to-Image Synthesis with Threshold-Equipped Matching-Aware GAN
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    Chapter 14 Joint Regularization Knowledge Distillation
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    Chapter 15 Dual-Branch Contrastive Learning for Network Representation Learning
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    Chapter 16 Multi-granularity Contrastive Siamese Networks for Abstractive Text Summarization
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    Chapter 17 Joint Entity and Relation Extraction for Legal Documents Based on Table Filling
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    Chapter 18 Dy-KD: Dynamic Knowledge Distillation for Reduced Easy Examples
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    Chapter 19 Fooling Downstream Classifiers via Attacking Contrastive Learning Pre-trained Models
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    Chapter 20 Feature Reconstruction Distillation with Self-attention
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    Chapter 21 DAGAN:Generative Adversarial Network with Dual Attention-Enhanced GRU for Multivariate Time Series Imputation
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    Chapter 22 Knowledge-Distillation-Warm-Start Training Strategy for Lightweight Super-Resolution Networks
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    Chapter 23 SDBC: A Novel and Effective Self-Distillation Backdoor Cleansing Approach
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    Chapter 24 An Alignment and Matching Network with Hierarchical Visual Features for Multimodal Named Entity and Relation Extraction
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    Chapter 25 Multi-view Consistency View Synthesis
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    Chapter 26 A Reinforcement Learning-Based Controller Designed for Intersection Signal Suffering from Information Attack
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    Chapter 27 Dual-Enhancement Model of Entity Pronouns and Evidence Sentence for Document-Level Relation Extraction
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    Chapter 28 Nearest Memory Augmented Feature Reconstruction for Unified Anomaly Detection
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    Chapter 29 Deep Learning Based Personalized Stock Recommender System
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    Chapter 30 Feature-Fusion-Based Haze Recognition in Endoscopic Images
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    Chapter 31 Retinex Meets Transformer: Bridging Illumination and Reflectance Maps for Low-Light Image Enhancement
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    Chapter 32 Make Spoken Document Readable: Leveraging Graph Attention Networks for Chinese Document-Level Spoken-to-Written Simplification
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    Chapter 33 MemFlowNet: A Network for Detecting Subtle Surface Anomalies with Memory Bank and Normalizing Flow
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    Chapter 34 LUT-LIC: Look-Up Table-Assisted Learned Image Compression
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    Chapter 35 Oil and Gas Automatic Infrastructure Mapping: Leveraging High-Resolution Satellite Imagery Through Fine-Tuning of Object Detection Models
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    Chapter 36 AttnOD: An Attention-Based OD Prediction Model with Adaptive Graph Convolution
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    Chapter 37 CMMix: Cross-Modal Mix Augmentation Between Images and Texts for Visual Grounding
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    Chapter 38 A Relation-Oriented Approach for Complex Entity Relation Extraction
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    Chapter 39 A Revamped Sparse Index Tracker Leveraging K –Sparsity and Reduced Portfolio Reshuffling
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    Chapter 40 Anomaly Detection of Fixed-Wing Unmanned Aerial Vehicle (UAV) Based on Cross-Feature-Attention LSTM Network
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    Chapter 41 Spatial and Frequency Domains Inconsistency Learning for Face Forgery Detection
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    Chapter 42 Enhancing Camera Position Estimation by Multi-view Pure Rotation Recognition and Automated Annotation Learning
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    Chapter 43 Detecting Adversarial Examples via Classification Difference of a Robust Surrogate Model
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    Chapter 44 Minimizing Distortion in Steganography via Adaptive Language Model Tuning
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    Chapter 45 Efficient Chinese Relation Extraction with Multi-entity Dependency Tree Pruning and Path-Fusion
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    Chapter 46 A Lightweight Text Classification Model Based on Label Embedding Attentive Mechanism
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Title
Neural Information Processing
Published by
Springer Nature Singapore, December 2023
DOI 10.1007/978-981-99-8148-9
ISBNs
978-9-81-998147-2, 978-9-81-998148-9
Editors

Luo, Biao, Cheng, Long, Wu, Zheng-Guang, Li, Hongyi, Li, Chaojie

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