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ORCID32nd ICANN 2023: Heraklion, Crete - Part V
- Lazaros Iliadis
, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne:
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. Lecture Notes in Computer Science 14258, Springer 2023, ISBN 978-3-031-44191-2 - Wenjie Xu, Jianquan Ouyang:
A Multi-Task Instruction with Chain of Thought Prompting Generative Framework for Few-Shot Named Entity Recognition. 1-15 - Zhuoqing Chang, Shubo Liu, Zhaohui Cai, Guoqing Tu:
ANODE-GAN: Incomplete Time Series Imputation by Augmented Neural ODE-Based Generative Adversarial Networks. 16-27 - Chenghai He, Xiaoqian Li, Xiaohang Zhang, Kai Zhang, Hailing Li, Gang Xiong, Xuan Li:
Boosting Adversarial Transferability Through Intermediate Feature. 28-39 - Yingjun Dai, Ahmed El-Roby:
DaCon: Multi-Domain Text Classification Using Domain Adversarial Contrastive Learning. 40-52 - Barbara Toniella Corradini, Paolo Andreini, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks. 53-64 - Jiachen Zhang, Huantong Hou, Jingjing Chen, Donglong Chen:
GC-GAN: Photo Cartoonization Using Guided Cartoon Generative Adversarial Network. 65-77 - Qi Guo, Xiaodong Gu:
Generating Distinctive Facial Images from Natural Language Descriptions via Spatial Map Fusion. 78-89 - Hetian Song, Qingmeng Zhu, Zhipeng Yu, Jian Liang, Hao He:
Generative Event Extraction via Internal Knowledge-Enhanced Prompt Learning. 90-102 - Junhong Liu, Wenxue Wei, Yukun Zhang, Lei Liang:
Improved Attention Mechanism and Adversarial Training for Respiratory Infectious Disease Text Named Entity Recognition. 103-114 - Bo Peng, Bowen Peng, Jie Zhou, Xichen Huang, Lingxin Meng, Xunzhang Gao:
Low-Frequency Features Optimization for Transferability Enhancement in Radar Target Adversarial Attack. 115-129 - Shuo Wang, Qingfu Huang, Zhichao Lian:
Multi-convolution and Adaptive-Stride Based Transferable Adversarial Attacks. 130-142 - Haitao Zhang, Xinran Liu, Qilong Han, Dan Lu:
Multi-source Open-Set Image Classification Based on Deep Adversarial Domain Adaptation. 143-156 - Xinlei Gao, Jing Liu:
SAL: Salient Adversarial Attack with LRP Refinement. 157-168 - Flávio Arthur O. Santos, Maynara Donato de Souza, Cleber Zanchettin:
Towards Background and Foreground Color Robustness with Adversarial Right for the Right Reasons. 169-180 - Weixu Zhang, Yu Wang, Ming Fan:
Towards Robustness of Large Language Models on Text-to-SQL Task: An Adversarial and Cross-Domain Investigation. 181-192 - Yier Wei, Haichang Gao, Yufei Wang, Huan Liu, Yipeng Gao, Sainan Luo, Qianwen Guo:
TransNoise: Transferable Universal Adversarial Noise for Adversarial Attack. 193-205 - Liang Zhu, Shijie Jiao, Xin Song, Yonggang Wei, Yu Wang:
A Spatial Interpolation Method Based on Meta-learning with Spatial Weighted Neural Networks. 206-218 - Shaoqi Xiao, Jian Yang, Zhan Wang:
Adapted Methods for GAN Vocoders via Skip-Connections ISTFT and Cooperative Structure. 219-229 - Yanan Guo, Xiaoqun Cao, Kecheng Peng, Wei Dong, Wenlong Tian, Mengge Zhou:
An Efficient Approximation Method Based on Enhanced Physics-Informed Neural Networks for Solving Localized Wave Solutions of PDEs. 230-242 - Gokul Swamy, Arunita Das, Shobhit Niranjan:
Causal Interpretability and Uncertainty Estimation in Mixture Density Networks. 243-254 - Vandana M. Ladwani, V. Ramasubramanian:
Connectionist Temporal Sequence Decoding: M-ary Hopfield Neural-Network with Multi-limit Cycle Formulation. 255-268 - Marco Bertolini, Djork-Arné Clevert, Floriane Montanari:
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations. 269-287 - Yue Chen, Takashi Morita, Tsukasa Kimura, Takafumi Kato, Masayuki Numao, Ken-ichi Fukui:
Gated Variable Selection Neural Network for Multimodal Sleep Quality Assessment. 288-299 - Roseli Suzi Wedemann, Angel Ricardo Plastino:
Generalized Thermostatistics and the Nonequilibrium Landscape Description of Neural Network Dynamics. 300-311 - Hao Bu, Meng Sun:
Guiding the Comparison of Neural Network Local Robustness: An Empirical Study. 312-323 - Hengcheng Zhou:
Information-Theoretically Secure Neural Network Training with Flexible Deployment. 324-336 - Arnaud Guibert, Christophe Hurter, Nicolas Couellan:
LRP-GUS: A Visual Based Data Reduction Algorithm for Neural Networks. 337-349 - Yaying Chen, Ji Ma, Nanfei Gu, Xintong Wang, Minghua He:
Mining and Injecting Legal Prior Knowledge to Improve the Generalization Ability of Neural Networks in Chinese Judgments. 350-362 - Pavan Kumar Enuganti, Basabdatta Sen Bhattacharya:
Mixed-Mode Response of Nigral Dopaminergic Neurons: An in Silico Study on SpiNNaker. 363-374 - Lu Lin, Chen Yin, Zhenkun Gao:
Pan-Sharpening with Global Multi-scale Context Network. 375-385 - Marius Jahrens, Hans-Oliver Hansen, Rebecca Köhler, Thomas Martinetz:
Population Coding Can Greatly Improve Performance of Neural Networks: A Comparison. 386-398 - Kristína Malinovská, Slavomír Holenda, Ludovít Malinovský:
QuasiNet: A Neural Network with Trainable Product Layers. 399-410 - Yuan Zhang, Jian Cao, Jue Chen, Wenyu Sun, Yuan Wang:
Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings. 411-422 - Jordi Madrenas, Bernardo Vallejo Mancero, Josep Angel Oltra, Mireya Zapata, Jordi Cosp-Vilella, Robert Calatayud, Satoshi Moriya, Shigeo Sato:
Real-Time Adaptive Physical Sensor Processing with SNN Hardware. 423-434 - Minh Tri Le, Etienne de Foras, Julyan Arbel:
Regularization for Hybrid N-Bit Weight Quantization of Neural Networks on Ultra-Low Power Microcontrollers. 435-446 - Ji Jin, Jialin Bi, Cunquan Qu:
SGNN: A New Method for Learning Representations on Signed Networks. 447-458 - Lipeng Chen, Daixi Jia, Hang Gao, Fengge Wu, Junsuo Zhao:
SkaNet: Split Kernel Attention Network. 459-473 - Yang Liu, Yuexian Hou:
Syntax-Aware Complex-Valued Neural Machine Translation. 474-485 - Yuhang Wang, Hui Gao:
Traffic Flow Prediction Based on Multi-type Characteristic Hybrid Graph Neural Network. 486-497 - Zhijie Tan, Shengwei Meng, Yujia Tan, Yiqun Wu, Yi Li, Tong Mo, Weiping Li:
Whisker Analysis Framework for Unrestricted Mice with Neural Networks. 498-510 - Guiqin Zhao:
Adaptive Segmentation Network for Scene Text Detection. 511-522 - Jianxiang Zang, Hui Liu:
How to Extract and Interact? Nested Siamese Text Matching with Interaction and Extraction. 523-535 - Song Li, Jingjing Huo, Wenqiang Xu, Maozong Zheng, Kezun Zhang, Hong Chen, Xuan Lin:
Label-Guided Graphormer for Hierarchy Text Classification. 536-547 - Zhuangzhuang Li, Zengzhen Shao, Jianxin Xiao, Zixiao Yu, Xu Zhang:
Text Semantic Matching Research Based on Parallel Dropout. 548-559 - Shengjie Ji, Chun Chen, Fang Kong:
Towards Better Core Elements Extraction for Customer Service Dialogue Text. 560-571 - Guoqiang Xu, Shenggang Yan:
UIT: Unifying Pre-training Objectives for Image-Text Understanding. 572-585
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