| 2023 | Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency. | Yunpeng Yao, Man Wu, Zheng Chen, Renyuan Zhang |
| 2023 | Long-Range Graph U-Nets: Node and Edge Clustering Pooling Model For Stroke Classification in Online Handwritten Documents. | Muwu Yao, Shuang She, Jinrong Li, Jianmin Lin, Ming Yang, Hongxing Peng |
| 2023 | GWQ: Group-Wise Quantization Framework for Neural Networks. | Jiaming Yang, Chenwei Tang, Caiyang Yu, Jiancheng Lv |
| 2023 | Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples. | Shin'ya Yamaguchi |
| 2023 | Preface. | |
| 2023 | Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning? | Guoqiang Wu, Jun Zhu |
| 2023 | A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis. | Dongming Wu, Lulu Wen, Chao Chen, Zhaoshu Shi |
| 2023 | Estimation of Counterfactual Interventions under Uncertainties. | Juliane Weilbach, Sebastian Gerwinn, Melih Kandemir, Martin Frnzle |
| 2023 | A Simple and General Binarization Method for Image Restoration Neural Networks. | Mengxue Wang, Yue Zhang, Xiaodong Zhang, Run Min |
| 2023 | Robust Blind Watermarking Framework for Hybrid Networks Combining CNN and Transformer. | Baowei Wang, Ziwei Song, Yufeng Wu |
| 2023 | A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification. | Qingya Wang, Feng Liu, Bin Luo |
| 2023 | Graph Structure Learning via Lottery Hypothesis at Scale. | Yuxin Wang, Xiannian Hu, Jiaqing Xie, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu, Xuanjing Huang |
| 2023 | Towards Better Explanations for Object Detection. | Van Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Khanh Nguyen, Quoc Hung Cao |
| 2023 | Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection. | Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu |
| 2023 | Single Image Super-resolution Based On Non-subsampled Shearlet Transform. | Ming Tan, Liang Chen, Xuan Wu, Yi Wu |
| 2023 | Intractability of Learning the Discrete Logarithm with Gradient-Based Methods. | Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov |
| 2023 | Hybrid Convolution Method for Graph Classification Using Hierarchical Topology Feature. | Jiangfeng Sun, Xinyue Lin, Fangyu Hao, Meina Song |
| 2023 | Meta-forests: Domain generalization on random forests with meta-learning. | Yuyang Sun, Panagiotis Kosmas |
| 2023 | Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer. | P. Aditya Sreekar, Sahil Verma, Varun Madhavan, Abhishek Persad |
| 2023 | Advancing Deep Metric Learning With Adversarial Robustness. | Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki |
| 2023 | A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. | Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao |
| 2023 | Edit-A-Video: Single Video Editing with Object-Aware Consistency. | Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon |
| 2023 | Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings. | Gregory Scafarto, Madalina Ciortan, Simon Tihon, Quentin Ferre |
| 2023 | Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits. | Hassan Saber, Fabien Pesquerel, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi |
| 2023 | Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks. | Andreas Roth, Thomas Liebig |