| 2023 | Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. | Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein |
| 2023 | Hierarchical Context Modeling Network for Landmark Recognition. | Xing Bao, Huan Zheng, Zhao Zhang, Zhengjun Zha, Meng Wang |
| 2023 | Speaker Identification based on MFSC voice feature extraction using Transformer. | Liao Bao, Yi Zuo |
| 2023 | Reinforcement Learning based Hyper-heuristics for Many-objective Pickup and Delivery Problem. | Adeem Ali Anwar, Xuyun Zhang |
| 2023 | LogGC: Novel Approach for Graph-based Log Anomaly Detection. | Stefan Andonov, Gjorgji Madjarov |
| 2023 | The Strength of Influence Ties in Stock Networks: Empirical Analysis for Portfolio Selection. | Thiago Ambiel, Douglas Castilho, Andr C. P. L. F. de Carvalho |
| 2023 | A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits. | Rda Alami, Mohammed Mahfoud, Mastane Achab |
| 2023 | Sparse Attacks for Manipulating Explanations in Deep Neural Network Models. | Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard |
| 2023 | A Deep Reinforcement Learning Approach to Configuration Sampling Problem. | Amir Abolfazli, Jakob Spiegelberg, Gregory Palmer, Avishek Anand |
| 2023 | Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro. | Rui Mao, Kelvin Du, Yu Ma, Luyao Zhu, Erik Cambria |
| 2023 | MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale. | Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin |
| 2023 | Early Spatiotemporal Event Prediction via Adaptive Controller and Spatiotemporal Embedding. | Wei Shao, Ziyan Peng, Yufan Kang, Xiao Xiao, Zhiling Jin |
| 2023 | Momentum is All You Need for Data-Driven Adaptive Optimization. | Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu |
| 2023 | Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation. | Shenghao Yang, Chenyang Wang, Yankai Liu, Kangping Xu, Weizhi Ma, Yiqun Liu, Min Zhang, Haitao Zeng, Junlan Feng, Chao Deng |
| 2023 | Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation. | Xinhua Wang, Houping Yue, Zizheng Wang, Liancheng Xu, Jinyu Zhang |
| 2023 | ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples. | Xuhong Li, Xuanyu Wu, Linghe Kong, Xiao Zhang, Siyu Huang, Dejing Dou, Haoyi Xiong |
| 2023 | Beyond Lexical Consistency: Preserving Semantic Consistency for Program Translation. | Yali Du, Yi-Fan Ma, Zheng Xie, Ming Li |
| 2023 | On Regularized Sparse Logistic Regression. | Mengyuan Zhang, Kai Liu |
| 2023 | Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection. | Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu |
| 2023 | Neural Contextual Combinatorial Bandit under Non-stationary Environment. | Jiaqi Zheng, Hedi Gao, Haipeng Dai, Zhenzhe Zheng, Fan Wu |
| 2023 | Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. | Yanzhao Wu, Ka-Ho Chow, Wenqi Wei, Ling Liu |
| 2023 | On Computing Paradigms - Where Will Large Language Models Be Going. | Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang |
| 2022 | Programming Knowledge Tracing: A Comprehensive Dataset and A New Model. | Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou |
| 2022 | Message from the ICDM 2022 Program Committee Chairs. | Xingquan Zhu, Sanjay Ranka |
| 2022 | A Knowledge-Enhanced Framework for Imitative Transportation Trajectory Generation. | Qingyan Zhu, Yize Chen, Hao Wang, Zhenyu Zeng, Hao Liu |