| 2023 | Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition. | Patrick Eickhoff, Matthias Mller, Theresa Pekarek-Rosin, Johannes Twiefel, Stefan Wermter |
| 2023 | Cross-Camera Prototype Learning for Intra-camera Supervised Person Re-identification. | Bingyu Duan, Wanqian Zhang, Dayan Wu, Lin Wang, Bo Li, Weiping Wang |
| 2023 | CopiFilter: An Auxiliary Module Adapts Pre-trained Transformers for Medical Dialogue Summarization. | Jiaxin Duan, Junfei Liu |
| 2023 | Application of Data Encryption in Chinese Named Entity Recognition. | Jikun Dong, Kaifang Long, Hui Yu, Weizhi Xu |
| 2023 | Multi-scale Field Distillation for Multi-task Semantic Segmentation. | Aimei Dong, Sidi Liu |
| 2023 | Rethinking Feature Context in Learning Image-Guided Depth Completion. | Yikang Ding, Pengzhi Li, Dihe Huang, Zhiheng Li |
| 2023 | Selecting Distinctive-Variant Training Samples Base on Intra-class Similarity. | Hang Diao, Zhengchang Liu, Fan Zhang, Jiaqing Huang, Feiyu Zhou, Samee U. Khan |
| 2023 | Prototype Contrastive Learning for Personalized Federated Learning. | Siqi Deng, Liu Yang |
| 2023 | FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification. | Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye |
| 2023 | RRecT: Chinese Text Recognition with Radical-Enhanced Recognition Transformer. | Xinrui Deng, Zheng Huang, Kefan Ma, Kai Chen, Jie Guo, Weidong Qiu |
| 2023 | GenTC: Generative Transformer via Contrastive Learning for Receipt Information Extraction. | Xinrui Deng, Zheng Huang, Kefan Ma, Kai Chen, Jie Guo, Weidong Qiu |
| 2023 | Adaptive Reservoir Neural Gas: An Effective Clustering Algorithm for Addressing Concept Drift in Real-Time Data Streams. | Konstantinos Demertzis, Lazaros S. Iliadis, Antonios Papaleonidas |
| 2023 | Neighborhood-Oriented Decentralized Learning Communication in Multi-Agent System. | Hao Dai, Jiashu Wu, Andr Brinkmann, Yang Wang |
| 2023 | DaCon: Multi-Domain Text Classification Using Domain Adversarial Contrastive Learning. | Yingjun Dai, Ahmed El-Roby |
| 2023 | Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks. | Barbara Toniella Corradini, Paolo Andreini, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi |
| 2023 | Cross Attention with Deep Local Features for Few-Shot Image Classification. | Tengfei Chu, Hao Shen, Jing Lv, Ming Yang |
| 2023 | Imbalanced Few-Shot Learning Based on Meta-transfer Learning. | Yan Chu, Xianghui Sun, Songhao Jiang, Tianwen Xie, Zhengkui Wang, Wen Shan |
| 2023 | MAGNet: Muti-scale Attention and Evolutionary Graph Structure for Long Sequence Time-Series Forecasting. | Zonglei Chen, Fan Zhang, Tianrui Li, Chongshou Li |
| 2023 | Towards Energy-Efficient Sentiment Classification with Spiking Neural Networks. | Junhao Chen, Xiaojun Ye, Jingbo Sun, Chao Li |
| 2023 | MADNet: EEG-Based Depression Detection Using a Deep Convolution Neural Network Framework with Multi-dimensional Attention. | Shuyu Chen, Yangzuyi Yu, Jiahui Pan |
| 2023 | Visible-Infrared Person Re-identification via Modality Augmentation and Center Constraints. | Qiang Chen, Guoqiang Xiao, Jiahao Wu |
| 2023 | LSA3D: Lightweight Separate Asynchronous 3D Convolutional Neural Network for Gait Recognition. | Jianyu Chen, Zhongyuan Wang, Kangli Zeng, Jinsheng Xiao, Zhen Han |
| 2023 | Gated Variable Selection Neural Network for Multimodal Sleep Quality Assessment. | Yue Chen, Takashi Morita, Tsukasa Kimura, Takafumi Kato, Masayuki Numao, Ken-ichi Fukui |
| 2023 | Mining and Injecting Legal Prior Knowledge to Improve the Generalization Ability of Neural Networks in Chinese Judgments. | Yaying Chen, Ji Ma, Nanfei Gu, Xintong Wang, Minghua He |
| 2023 | WAG-NAT: Window Attention and Generator Based Non-Autoregressive Transformer for Time Series Forecasting. | Yibin Chen, Yawen Li, Ailan Xu, Qiang Sun, Xiaomin Chen, Chen Xu |