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 Coding Can 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.