| 2023 | CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection. | Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Yuxin Ge, Chongjun Wang |
| 2023 | Fisher Scoring Method for Neural Networks Optimization. | Jackson de Faria, Renato Assuno, Fabricio Murai |
| 2023 | MC-SQ: A Highly Accurate Ensemble for Multi-class Quantification. | Zahra Donyavi, Adriane Serapio, Gustavo Batista |
| 2023 | RELIANT: Fair Knowledge Distillation for Graph Neural Networks. | Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li |
| 2023 | ML4C: Seeing Causality Through Latent Vicinity. | Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang |
| 2023 | DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability. | Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Chun-cheng Jason Chen, Mehrdad Mahdavi |
| 2023 | Estimating Propensity Scores with Deep Adaptive Variable Selection. | Zhixuan Chu, Mechelle Claridy, Jos Cordero, Sheng Li, Stephen L. Rathbun |
| 2023 | Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions. | Shengyu Chen, Yiqun Xie, Xiang Li, Xu Liang, Xiaowei Jia |
| 2023 | Heavy Nodes in a Small Neighborhood: Algorithms and Applications. | Huiping Chen, Grigorios Loukides, Robert Gwadera, Solon P. Pissis |
| 2023 | StAGN: Spatial-Temporal Adaptive Graph Network via Contrastive Learning for Sleep Stage Classification. | Junyang Chen, Yidan Dai, Xianhui Chen, Yingshan Shen, Yan Luximon, Hailiang Wang, Yuxin He, Wenjun Ma, Xiaomao Fan |
| 2023 | Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. | Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang |
| 2023 | TEM: High Utility Metric Differential Privacy on Text. | Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang |
| 2023 | Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering. | Lena G. M. Bauer, Collin Leiber, Christian Bhm, Claudia Plant |
| 2023 | Sign-Regularized Multi-Task Learning. | Guangji Bai, Johnny Torres, Junxiang Wang, Liang Zhao, Cristina L. Abad, Carmen Vaca |
| 2023 | Saliency-Augmented Memory Completion for Continual Learning. | Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao |
| 2023 | Node ranking in labeled networks. | Chamalee Wickrama Arachchi, Nikolaj Tatti |
| 2023 | Attention-Based Multi-modal Missing Value Imputation for Time Series Data with High Missing Rate. | Khandakar Tanvir Ahmed, Sudipto Baul, Yanjie Fu, Wei Zhang |
| 2023 | PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. | Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin |
| 2023 | Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. | Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar |
| 2023 | Optimal Smooth Approximation for Quantile Matrix Factorization. | Peng Liu, Yi Liu, Rui Zhu, Linglong Kong, Bei Jiang, Di Niu |
| 2023 | A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning. | Zheng Chen, Lingwei Zhu, Haohui Jia, Takashi Matsubara |
| 2023 | Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations. | Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu |
| 2023 | Extrinsic-Intrinsic Representation Learning Framework for Drug Discovery. | Tian Xia, Sarp Aykent, Wei-Shinn Ku |
| 2023 | STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. | Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo |
| 2023 | Multi-Task Learning with Prior Information. | Mengyuan Zhang, Kai Liu |