Neural Information Processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 26, 2024, Proceedings, Part III [Pehme köide]

FreeFlow: A Unified Viewpoint on Diffusion Probabilistic Models via
Optimal Transport and Fluid Mechanics.- Optimizing CNNs with Gram Schmidt
Non-Iterative Learning for Image Recognition.- Improving Multilingual Speech
Recognition with Tucker-compressed Mixture of LoRAs.- MetaFix:
Semi-Supervised Model Agnostic Meta-Learning using Consistency
Regularization.- Towards Private and Fair Machine Learning: Group-Specific
Differentially Private Stochastic Gradient Descent with Threshold
Optimization.- LogMoE: Optimizing Mixture of Experts for Log Anomaly
Detection via Knowledge Distillation.- Cross-Domain Few-Shot Learning with
Equiangular Embedding and Dynamic Adversarial Augmentation.- -Net: An
Unsupervised Model for Online Graph Time-Series Denoising.- On Learnable
Parameters of Optimal and Suboptimal Deep Learning Models.- Aero-engine
Condition-Based Maintenance Planning Using  Reinforcement Learning.-
Multi-Timescale Processing with Heterogeneous Assembly Echo StateNetworks.-
ADERec: Adaptive Data Augmentation Sequence Recommendation Based on Dual
Network Architecture.- Pruning neural network parameters using recurrent
neural networks.- MA-Mamba: Multi-Agent Reinforcement Learning with State
Space Model.- Decentralized Extension for Centralized Multi-Agent
Reinforcement Learning via Online Distillation.- Advancing RVFL networks:
Robust classification with the HawkEye loss function.- An Enhanced MILP-based
Verifier for Adversary Robustness of Neural  Networks.- Hide-and-Seek GANs
for Generation with Limited Data.- Unsupervised Robust Hypergraph Correlation
Hashing for MultimediaRetrieval.- Emotional Atmosphere Soft Label for Emotion
Recognition in Conversations.- CCATS: Moving Forward with Class-Conditional
Time Series Generation.- M3ixTS: Mixing of Multi-patch and Multi-view For
Time Series  Forecasting.- CSTFormer: Cross Spatial-Temporal Learning
Transformer withDynamic Sign Language Recognition through an Augmented
Reality Environment.- MmFormer: A Novel Multi-Scale and Multi-Period
Transformer Model for Irregular periodic Network Traffc Prediction.- Time
Series Anomaly Detection via Temporal Dependencies and Multivariate
Correlations Integrating.- Transformer-Based Long Time Series Forecasting
with Decoupled Information Extraction and Information Complementarity.