Neural Information Processing [E-Book] : 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part I /

Neural Information Processing [E-Book] : 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part I / edited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt.

The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22-26, 2022. The 146 papers presented in the proceedings set were carefully reviewed and select...

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Agarwal, Sonali, editor
Ekbal, Asif, editor / Jatowt, Adam, editor / Ozawa, Seiichi, editor / Tanveer, Mohammad, editor
1st edition 2023.
Cham : Springer, 2023
XXXV, 627 pages 172 illustrations, 162 illustrations in color (online resource)
englisch
9783031301056
10.1007/978-3-031-30105-6
Lecture Notes in Computer Science ; 13623
Data mining.
Machine learning.
Pattern recognition systems.
Social sciences-Data processing.



  • Theory and Algorithms
  • Solving Partial Differential Equations using Point-based Neural Networks
  • Patch Mix Augmentation with Dual Encoders for Meta-Learning
  • Tacit Commitments Emergence in Multi-agent Reinforcement Learning
  • Saccade Direction Information Channel
  • Shared-Attribute Multi-Graph Clustering with Global Self-Attention
  • Mutual Diverse-Label Adversarial Training
  • Multi-Agent Hyper-Attention Policy Optimization
  • Filter Pruning via Similarity Clustering for Deep Convolutional Neural Networks
  • FPD: Feature Pyramid Knowledge Distillation
  • An effective ensemble model related to incremental learning in neural machine translation
  • Local-Global Semantic Fusion Single-shot Classification Method
  • Self-Reinforcing Feedback Domain Adaptation Channel
  • General Algorithm for Learning from Grouped Uncoupled Data and Pairwise Comparison Data
  • Additional Learning for Joint Probability Distribution Matching in BiGAN
  • Multi-View Self-Attention for Regression Domain Adaptation with Feature Selection
  • EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance Fields
  • Partial Label learning with Gradually Induced Error-Correction Output Codes
  • HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-based optimizer
  • Heterogeneous Graph Representation for Knowledge Tracing
  • Intuitionistic fuzzy universum support vector machine
  • Support vector machine based models with sparse auto-encoder based features for classification problem
  • Selectively increasing the diversity of GAN-generated samples
  • Cooperation and Competition: Flocking with Evolutionary Multi-Agent Reinforcement Learning
  • Differentiable Causal Discovery Under Heteroscedastic Noise
  • IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels
  • Adaptive Scaling for U-Net in Time Series Classification
  • Permutation Elementary Cellular Automata: Analysis and Application of Simple Examples
  • SSPR: A Skyline-Based Semantic Place Retrieval Method
  • Double Regularization-based RVFL and edRVFL Networks for Sparse-Dataset Classification
  • Adaptive Tabu Dropout for Regularization of Deep Neural Networks
  • Class-Incremental Learning with Multiscale Distillation for Weakly Supervised Temporal Action Localization
  • Nearest Neighbor Classifier with Margin Penalty for Active Learning
  • Factual Error Correction in Summarization with Retriever-Reader Pipeline
  • Context-adapted Multi-policy Ensemble Method for Generalization in Reinforcement Learning
  • Self-attention based multi-scale graph convolutional networks
  • Synesthesia Transformer with Contrastive Multimodal Learning
  • Context-based Point Generation Network for Point Cloud Completion
  • Temporal Neighborhood Change Centrality for Important Node Identification in Temporal Networks
  • DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-aware Heterogeneous Graph Transformer
  • Sparse Linear Capsules for Matrix Factorization-based Collaborative Filtering
  • PromptFusion: a Low-cost Prompt-based Task Composition for Multi-task Learning
  • A fast and efficient algorithm for filtering the training dataset
  • Entropy-minimization Mean Teacher for Source-Free Domain Adaptive Object Detection
  • IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem
  • Boosting Graph Convolutional Networks With Semi-Supervised Training
  • Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs
  • VAAC: V-value Attention Actor-Critic for Cooperative Multi-agent Reinforcement Learning
  • An Analytical Estimation of Spiking Neural Networks Energy Efficiency
  • Correlation Based Semantic Transfer with Application to Domain Adaptation
  • Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Functional Link Network
  • Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction.