Neural Information Processing 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part IV
The four-volume set CCIS 1791, 1792, 1793 and 1794 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 213 papers presented in the proceedings set were carefully reviewed and selec...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2023, 2023
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| Edition: | 1st ed. 2023 |
| Series: | Communications in Computer and Information Science
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Efficient Uncertainty Quantification for Under-constraint Prediction following Learning using MCMC
- SMART: A Robustness Evaluation Framework for Neural Networks
- Time-aware Quaternion Convolutional Network for Temporal Knowledge Graph Reasoning
- SumBART - An improved BART model for abstractive text summarization
- Saliency-Guided Learned Image Compression for Object Detection
- Multi-Label Learning with Data Self-Augmentation
- MnRec: A News Recommendation Fusion Model Combining Multi-granularity Information
- Infinite Label Selection Method for Mutil-label Classification
- Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning
- Searching for Textual Adversarial Examples with Learned Strategy
- Multivariate Time Series Retrieval with Binary Coding from Transformer. -Learning TSP Combinatorial Search and Optimization with Heuristic Search
- A Joint Learning Model for Open Set Recognition with Post-processing
- Classification by Components Including Chow's Reject Option. -Community discovery algorithm based on improved deep sparse autoencoder
- Fairly Constricted Multi-Objective Particle Swarm Optimization
- Argument Classification with BERT plus Contextual, Structural andSyntactic Features as Text
- Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient
- Optimizing Knowledge Distillation Via Shallow Texture Knowledge Transfer
- Unsupervised Domain Adaptation Supplemented with Generated Images
- MAR2MIX: A Novel Model for Dynamic Problem in Multi-Agent Reinforcement Learning
- Adversarial Training with Knowledge Distillation Considering Intermediate Representations in CNNs
- Deep Contrastive Multi-view Subspace Clustering
- Cross-Layer Fusion for Feature Distillation
- MCHPT: A Weakly Supervise Based Merchant Pre-trained Model
- Progressive Latent Replay for efficient Generative Rehearsal
- Generalization Bounds for Set-to-Set Matching with Negative Sampling
- ADA: An Attention-Based Data Augmentation Approach to Handle Imbalanced Textual Datasets
- Countering the Anti-detection Adversarial Attacks
- Evolving Temporal Knowledge Graphs by Iterative Spatio-Temporal Walks
- Improving Knowledge Graph Embedding Using Dynamic Aggregation of Neighbor Information
- Generative Generalized Zero-Shot Learning based on Auxiliary-Features
- Learning Stable Representations with Progressive Autoencoder (PAE)
- Effect of Image Down-sampling on Detection of Adversarial Examples
- Boosting the Robustness of Neural Networks with M-PGD
- StatMix: Data augmentation method that relies on image statistics in federated learning
- O3GPT: A Guidance-Oriented Periodic Testing Framework with Online Learning, Online Testing,and Online Feedback
- AFFSRN: Attention-Based Feature Fusion Super-Resolution Network
- Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks
- Graph Attention Transformer Network for Robust Visual Tracking
- GCL-KGE:Graph Contrastive Learning for Knowledge Graph Embedding
- Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments
- Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA model
- A High-Speed SSVEP-Based Speller Using Continuous Spelling Method
- AAT: Non-Local Networks for Sim-to-Real Adversarial Augmentation Transfer
- Aggregating Intra-class and Inter-class information for Multi-label Text Classification
- Fast estimation of multidimensional regression functions by the Parzen kernel-based method
- ReGAE: Graph autoencoder based on recursive neural networks
- Theory and Algorithms
- Knowledge Transfer from Situation Evaluation to Multi-agent Reinforcement Learning
- Sequential three-way rules class-overlap under-sampling based on fuzzy hierarchical subspace for imbalanced data
- Two-stage Multilayer Perceptron Hawkes Process
- The Context Hierarchical Contrastive Learning for Time Series in Frequency Domain
- Hawkes Process via Graph Contrastive Discriminant representation Learning and Transformer capturing long-term dependencies
- A Temporal Consistency Enhancement Algorithm Based On Pixel Flicker Correction
- Data representation and clustering with double low-rank constraints
- RoMA: a Method for Neural Network Robustness Measurement and Assessment
- Independent Relationship Detection for Real-Time Scene Graph Generation
- A multi-label feature selection method based on feature graph with ridge regression and eigenvector centrality