Artificial Neural Networks and Machine Learning - ICANN 2023

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.