Neural Information Processing

Table of Contents

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   Book Overview
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   Chapter 1 Solving Partial Differential Equations Using Point-Based Neural Networks
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   Chapter 2 Patch Mix Augmentation with Dual Encoders for Meta-Learning
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   Chapter 3 Tacit Commitments Emergence in Multi-agent Reinforcement Learning
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   Chapter 4 Saccade Direction Information Channel
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   Chapter 5 Shared-Attribute Multi-Graph Clustering with Global Self-Attention
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   Chapter 6 Mutual Diverse-Label Adversarial Training
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   Chapter 7 Multi-Agent Hyper-Attention Policy Optimization
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   Chapter 8 Filter Pruning via Similarity Clustering for Deep Convolutional Neural Networks
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    Chapter 9 FPD: Feature Pyramid Knowledge Distillation
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    Chapter 10 An Effective Ensemble Model Related to Incremental Learning in Neural Machine Translation
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    Chapter 11 Local-Global Semantic Fusion Single-shot Classification Method
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    Chapter 12 Self-Reinforcing Feedback Domain Adaptation Channel
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    Chapter 13 General Algorithm for Learning from Grouped Uncoupled Data and Pairwise Comparison Data
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    Chapter 14 Additional Learning for Joint Probability Distribution Matching in BiGAN
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    Chapter 15 Multi-view Self-attention for Regression Domain Adaptation with Feature Selection
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    Chapter 16 EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance Fields
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    Chapter 17 Partial Label Learning with Gradually Induced Error-Correction Output Codes
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    Chapter 18 HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer
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    Chapter 19 Heterogeneous Graph Representation for Knowledge Tracing
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    Chapter 20 Intuitionistic Fuzzy Universum Support Vector Machine
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    Chapter 21 Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem
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    Chapter 22 Selectively Increasing the Diversity of GAN-Generated Samples
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    Chapter 23 Cooperation and Competition: Flocking with Evolutionary Multi-Agent Reinforcement Learning
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    Chapter 24 Differentiable Causal Discovery Under Heteroscedastic Noise
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    Chapter 25 IDPL: Intra-subdomain Adaptation Adversarial Learning Segmentation Method Based on Dynamic Pseudo Labels
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    Chapter 26 Adaptive Scaling for U-Net in Time Series Classification
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    Chapter 27 Permutation Elementary Cellular Automata: Analysis and Application of Simple Examples
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    Chapter 28 SSPR: A Skyline-Based Semantic Place Retrieval Method
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    Chapter 29 Double Regularization-Based RVFL and edRVFL Networks for Sparse-Dataset Classification
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    Chapter 30 Adaptive Tabu Dropout for Regularization of Deep Neural Networks
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    Chapter 31 Class-Incremental Learning with Multiscale Distillation for Weakly Supervised Temporal Action Localization
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    Chapter 32 Nearest Neighbor Classifier with Margin Penalty for Active Learning
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    Chapter 33 Factual Error Correction in Summarization with Retriever-Reader Pipeline
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    Chapter 34 Context-Adapted Multi-policy Ensemble Method for Generalization in Reinforcement Learning
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    Chapter 35 Self-attention Based Multi-scale Graph Convolutional Networks
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    Chapter 36 Synesthesia Transformer with Contrastive Multimodal Learning
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    Chapter 37 Context-Based Point Generation Network for Point Cloud Completion
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    Chapter 38 Temporal Neighborhood Change Centrality for Important Node Identification in Temporal Networks
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    Chapter 39 DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-Aware Heterogeneous Graph Transformer
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    Chapter 40 Sparse Linear Capsules for Matrix Factorization-Based Collaborative Filtering
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    Chapter 41 PromptFusion: A Low-Cost Prompt-Based Task Composition for Multi-task Learning
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    Chapter 42 A Fast and Efficient Algorithm for Filtering the Training Dataset
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    Chapter 43 Entropy-minimization Mean Teacher for Source-Free Domain Adaptive Object Detection
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    Chapter 44 IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem
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    Chapter 45 Boosting Graph Convolutional Networks with Semi-supervised Training
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    Chapter 46 Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available Inputs
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    Chapter 47 VAAC: V-value Attention Actor-Critic for Cooperative Multi-agent Reinforcement Learning
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    Chapter 48 An Analytical Estimation of Spiking Neural Networks Energy Efficiency
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    Chapter 49 Correlation Based Semantic Transfer with Application to Domain Adaptation
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    Chapter 50 Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Functional Link Network
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    Chapter 51 Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction