Artificial Neural Networks and Machine Learning ¿ ICANN 2023
32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26¿29, 2023, Proceedings, Part V Herausgegeben:Iliadis, Lazaros; Papaleonidas, Antonios; Angelov, Plamen; Jayne, Chrisina
Artificial Neural Networks and Machine Learning ¿ ICANN 2023
32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26¿29, 2023, Proceedings, Part V Herausgegeben:Iliadis, Lazaros; Papaleonidas, Antonios; Angelov, Plamen; Jayne, Chrisina
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023. The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023.
The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
Die Herstellerinformationen sind derzeit nicht verfügbar.
Inhaltsangabe
A Multi-Task Instruction with Chain of Thought Prompting Generative Framework for Few-Shot Named Entity Recognition.- ANODE-GAN: Incomplete Time Series Imputation by Augmented Neural ODE-based Generative Adversarial Networks.- Boosting Adversarial Transferability through Intermediate Feature.- DaCon: Multi-Domain Text Classification Using Domain Adversarial Contrastive Learning.- Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks.- GC-GAN: Photo Cartoonization using Guided Cartoon Generative Adversarial Network.- Generating Distinctive Facial Images from Natural Language Descriptions via Spatial Map Fusion.- Generative Event Extraction via Internal Knowledge-enhanced Prompt Learning.- Improved attention mechanism and adversarial training for respiratory infectious disease text named entity recognition.- Low-frequency Features Optimization for Transferability Enhancement in Radar Target Adversarial Attack.- Multi-Convolution and Adaptive-stride Based Transferable Adversarial Attacks.- Multi-Source Open-Set Image Classification based on Deep Adversarial Domain Adaptation.- SAL: Salient Adversarial Attack with LRP Refinement.- Towards background and foreground color robustness with adversarial right for the right reasons.- Towards Robustness of Large Language Models on Text-to-SQL Task: An Adversarial and Cross-Domain Investigation.- TransNoise: Transferable Universal Adversarial Noise for Adversarial Attack.- A spatial interpolation method based on meta-learning with spatial weighted neural networks.- Adapted Methods for GAN Vocoders via Skip-Connections ISTFT and Cooperative Structure.- An Efficient Approximation Method Based on Enhanced Physics-informed Neural Networks for Solving Localized Wave Solutions of PDEs.- Causal Interpretability and Uncertainty Estimation in Mixture Density Networks.- Connectionist Temporal Sequence Decoding: M-ary Hopfield Neural-network with Multi-limit cycle Formulation.- Explaining, Evaluating and Enhancing Neural Networks' Learned Representations.- Gated Variable Selection Neural Network for Multimodal Sleep Quality Assessment.- Generalized Thermostatistics and the Nonequilibrium Landscape Description of Neural Network Dynamics.- Guiding the Comparison of Neural Network Local Robustness: An Empirical Study.- Information-Theoretically Secure Neural Network Training with Flexible Deployment.- LRP-GUS: A visual based data reduction algorithm for Neural Networks.- Mining and Injecting Legal Prior Knowledge to Improve the Generalization Ability of Neural Networks in Chinese Judgments.- Mixed-mode response of Nigral Dopaminergic neurons: an in silico study on SpiNNaker.- Pan-Sharpening with Global Multi-Scale Context Network.- Population Coding Can Greatly Improve Performance of Neural Networks: A Comparison.- Population CodingCan Greatly Improve Performance of Neural Networks: A Comparison.- QuasiNet: a neural network with trainable product layers.- Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings.- Real-time Adaptive Physical Sensor Processing with SNN Hardware.- Regularization for Hybrid N-Bit Weight Quantization of Neural Networks on Ultra-Low Power Microcontrollers.- SGNN: A new method for learning representations on signed networks.- SkaNet: Split Kernel Attention Network.- Syntax-Aware Complex-Valued Neural Machine Translation.- Traffic Flow Prediction Based on Multi-Type Characteristic Hybrid Graph Neural Network.- Whisker Analysis Framework for Unrestricted Mice with Neural Networks.- Adaptive Segmentation Network for Scene Text Detection.- How to Extract and Interact? Nested Siamese Text Matching with Interaction and Extraction.- Label-guided Graphormer for Hierarchy Text Classification.- Text Semantic Matching Research Based on Parallel Dropout.- Towards Better Core Elements Extraction for Customer Service Dialogue Text.- UIT: Unifying Pre-Training Objectives for Image-Text Understanding.
A Multi-Task Instruction with Chain of Thought Prompting Generative Framework for Few-Shot Named Entity Recognition.- ANODE-GAN: Incomplete Time Series Imputation by Augmented Neural ODE-based Generative Adversarial Networks.- Boosting Adversarial Transferability through Intermediate Feature.- DaCon: Multi-Domain Text Classification Using Domain Adversarial Contrastive Learning.- Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks.- GC-GAN: Photo Cartoonization using Guided Cartoon Generative Adversarial Network.- Generating Distinctive Facial Images from Natural Language Descriptions via Spatial Map Fusion.- Generative Event Extraction via Internal Knowledge-enhanced Prompt Learning.- Improved attention mechanism and adversarial training for respiratory infectious disease text named entity recognition.- Low-frequency Features Optimization for Transferability Enhancement in Radar Target Adversarial Attack.- Multi-Convolution and Adaptive-stride Based Transferable Adversarial Attacks.- Multi-Source Open-Set Image Classification based on Deep Adversarial Domain Adaptation.- SAL: Salient Adversarial Attack with LRP Refinement.- Towards background and foreground color robustness with adversarial right for the right reasons.- Towards Robustness of Large Language Models on Text-to-SQL Task: An Adversarial and Cross-Domain Investigation.- TransNoise: Transferable Universal Adversarial Noise for Adversarial Attack.- A spatial interpolation method based on meta-learning with spatial weighted neural networks.- Adapted Methods for GAN Vocoders via Skip-Connections ISTFT and Cooperative Structure.- An Efficient Approximation Method Based on Enhanced Physics-informed Neural Networks for Solving Localized Wave Solutions of PDEs.- Causal Interpretability and Uncertainty Estimation in Mixture Density Networks.- Connectionist Temporal Sequence Decoding: M-ary Hopfield Neural-network with Multi-limit cycle Formulation.- Explaining, Evaluating and Enhancing Neural Networks' Learned Representations.- Gated Variable Selection Neural Network for Multimodal Sleep Quality Assessment.- Generalized Thermostatistics and the Nonequilibrium Landscape Description of Neural Network Dynamics.- Guiding the Comparison of Neural Network Local Robustness: An Empirical Study.- Information-Theoretically Secure Neural Network Training with Flexible Deployment.- LRP-GUS: A visual based data reduction algorithm for Neural Networks.- Mining and Injecting Legal Prior Knowledge to Improve the Generalization Ability of Neural Networks in Chinese Judgments.- Mixed-mode response of Nigral Dopaminergic neurons: an in silico study on SpiNNaker.- Pan-Sharpening with Global Multi-Scale Context Network.- Population Coding Can Greatly Improve Performance of Neural Networks: A Comparison.- Population CodingCan Greatly Improve Performance of Neural Networks: A Comparison.- QuasiNet: a neural network with trainable product layers.- Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings.- Real-time Adaptive Physical Sensor Processing with SNN Hardware.- Regularization for Hybrid N-Bit Weight Quantization of Neural Networks on Ultra-Low Power Microcontrollers.- SGNN: A new method for learning representations on signed networks.- SkaNet: Split Kernel Attention Network.- Syntax-Aware Complex-Valued Neural Machine Translation.- Traffic Flow Prediction Based on Multi-Type Characteristic Hybrid Graph Neural Network.- Whisker Analysis Framework for Unrestricted Mice with Neural Networks.- Adaptive Segmentation Network for Scene Text Detection.- How to Extract and Interact? Nested Siamese Text Matching with Interaction and Extraction.- Label-guided Graphormer for Hierarchy Text Classification.- Text Semantic Matching Research Based on Parallel Dropout.- Towards Better Core Elements Extraction for Customer Service Dialogue Text.- UIT: Unifying Pre-Training Objectives for Image-Text Understanding.
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826
