Artificial Neural Networks and Machine Learning – ICANN 2024 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part I /
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17–20, 2024. The 294 full papers and 16 short papers included in these proceedin...
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| Diğer Yazarlar: | , , , |
| Materyal Türü: | Elektronik Ekitap |
| Dil: | İngilizce |
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Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edisyon: | 1st ed. 2024. |
| Seri Bilgileri: | Lecture Notes in Computer Science,
15016 |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/978-3-031-72332-2 |
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İçindekiler:
- -- Theory of Neural Networks and Machine Learning.
- Multi-label Robust Feature Selection via Subspace-Sparsity Learning.
- Nullspace-based metric for classification of dynamical systems and sensors.
- On the Bayesian Interpretation of Robust Regression Neural Networks.
- Probability-Generating Function Kernels for Spherical Data.
- Tailored Finite Point Operator Networks for Interface problems.
- Novel Methods in Machine Learning.
- A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class.
- Adaptive Compression of the Latent Space in Variational Autoencoders.
- Asymmetric Isomap for Dimensionality Reduction and Data Visualization.
- CALICO: Confident Active Learning with Integrated Calibration.
- Improved Multi-hop Reasoning through Sampling and Aggregating.
- Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks.
- Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations.
- Safe Data Resampling Method based on Counterfactuals Analysis.
- Test-Time Augmentation for Traveling Salesperson Problem.
- Novel Neural Architectures.
- Resonator-Gated RNNs.
- Towards a model of associative memory with learned distributed representations.
- Neural Architecture Search.
- Accelerated NAS via pretrained ensembles and multi-fidelity Bayesian Optimization.
- Feature Activation-Driven Zero-Shot NAS: A Contrastive Learning Framework.
- NAS-Bench-Compre: A Comprehensive Neural Architecture Search Benchmark with Customizable Components.
- NAVIGATOR-D3: Neural Architecture search using VarIational Graph Auto-encoder Toward Optimal aRchitecture Design for Diverse Datasets.
- ResBuilder: Automated Learning of Depth with Residual Structures
- Self-Organization.
- A Neuron Coverage-based Self-Organizing Approach for RBFNNs in Multi-Class Classification Tasks.
- Self-Organising Neural Discrete Representation Learning à la Kohonen.
- Neural Processes.
- Combined Global and Local Information Diffusion of Neural Processes.
- Topology of Neural Processes.
- Novel Architectures for Computer Vision.
- DEEPAM: Toward Deeper Attention Module in Residual Convolutional Neural Networks.
- Differentiable Largest Connected Component Layer for Image Mattin.
- Enhancing Generalization in Convolutional Neural Networks through Regularization with Edge and Line Features.
- Transformer Tracker based on Multi-level Residual Perception Structure. .-Multimodal Architectures.
- CAW: Confidence-based Adaptive Weighted Model for Multi-modal Entity Linking.
- Exploring Interpretable Semantic Alignment for Multimodal Machine Translation.
- Fairness in Machine Learning.
- CFP: A Reinforcement Learning Framework for Comprehensive Fairness-Performance Trade-off in Machine Learning.