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Publication search results
found 6,532 matches
- 2023
- Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang:
On Computing Paradigms - Where Will Large Language Models Be Going. ICDM 2023: 1577-1582 - Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. ICDM 2023: 648-657 - Jiaqi Zheng, Hedi Gao, Haipeng Dai, Zhenzhe Zheng, Fan Wu:
Neural Contextual Combinatorial Bandit under Non-stationary Environment. ICDM 2023: 878-887 - Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection. ICDM 2023: 688-697 - Mengyuan Zhang, Kai Liu:
On Regularized Sparse Logistic Regression. ICDM 2023: 1535-1540 - Yali Du, Yi-Fan Ma, Zheng Xie, Ming Li:
Beyond Lexical Consistency: Preserving Semantic Consistency for Program Translation. ICDM 2023: 91-100 - Xuhong Li, Xuanyu Wu, Linghe Kong, Xiao Zhang, Siyu Huang, Dejing Dou, Haoyi Xiong:
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples. ICDM 2023: 309-318 - Xinhua Wang, Houping Yue, Zizheng Wang, Liancheng Xu, Jinyu Zhang:
Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation. ICDM (Workshops) 2023: 1526-1534 - Shenghao Yang, Chenyang Wang, Yankai Liu, Kangping Xu, Weizhi Ma, Yiqun Liu, Min Zhang, Haitao Zeng, Junlan Feng, Chao Deng:
Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation. ICDM 2023: 728-737 - Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu:
Momentum is All You Need for Data-Driven Adaptive Optimization. ICDM 2023: 1385-1390 - Wei Shao, Ziyan Peng, Yufan Kang, Xiao Xiao, Zhiling Jin:
Early Spatiotemporal Event Prediction via Adaptive Controller and Spatiotemporal Embedding. ICDM 2023: 1307-1312 - Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin:
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale. ICDM 2023: 339-348 - Rui Mao, Kelvin Du, Yu Ma, Luyao Zhu, Erik Cambria:
Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro. ICDM 2023: 1211-1216 - Amir Abolfazli, Jakob Spiegelberg, Gregory Palmer, Avishek Anand:
A Deep Reinforcement Learning Approach to Configuration Sampling Problem. ICDM 2023: 1-10 - Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard:
Sparse Attacks for Manipulating Explanations in Deep Neural Network Models. ICDM 2023: 918-923 - Réda Alami, Mohammed Mahfoud, Mastane Achab:
A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits. ICDM (Workshops) 2023: 272-280 - Thiago Ambiel, Douglas Castilho, André C. P. L. F. de Carvalho:
The Strength of Influence Ties in Stock Networks: Empirical Analysis for Portfolio Selection. ICDM (Workshops) 2023: 456-464 - Stefan Andonov, Gjorgji Madjarov:
LogGC: Novel Approach for Graph-based Log Anomaly Detection. ICDM (Workshops) 2023: 1194-1202 - Adeem Ali Anwar, Xuyun Zhang:
Reinforcement Learning based Hyper-heuristics for Many-objective Pickup and Delivery Problem. ICDM 2023: 924-929 - Liao Bao, Yi Zuo:
Speaker Identification based on MFSC voice feature extraction using Transformer. ICDM (Workshops) 2023: 1-7 - Xing Bao, Huan Zheng, Zhao Zhang, Zhengjun Zha, Meng Wang:
Hierarchical Context Modeling Network for Landmark Recognition. ICDM 2023: 930-937 - Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein:
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. ICDM 2023: 944-949 - Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein:
Stochastic Integrated Explanations for Vision Models. ICDM 2023: 938-943 - Maximilian Becker, Emrah Toprak, Jürgen Beyerer:
Explainable Artificial Intelligence for Interpretable Data Minimization. ICDM (Workshops) 2023: 885-893 - Maximilian Becker, Vishwesh Vishwesh, Pascal Birnstill, Finn Schwall, Sihan Wu, Jürgen Beyerer:
RIXA - Explaining Artificial Intelligence in Natural Language. ICDM (Workshops) 2023: 875-884 - Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu:
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. ICDM 2023: 11-20 - Bhavya, Paulina Toro Isaza, Yu Deng, Michael Nidd, Amar Prakash Azad, Larisa Shwartz, ChengXiang Zhai:
Exploring Large Language Models for Low-Resource IT Information Extraction. ICDM (Workshops) 2023: 1203-1212 - Julita Bielaniewicz, Przemyslaw Kazienko:
From Generalized Laughter to Personalized Chuckles: Unleashing the Power of Data Fusion in Subjective Humor Detection. ICDM (Workshops) 2023: 716-725 - Rémi Bourgerie, Tahar Zanouda:
Fault Detection in Telecom Networks Using Bi-Level Federated Graph Neural Networks. ICDM (Workshops) 2023: 1608-1617 - Tien-Cuong Bui, Wen-Syan Li:
Toward Interpretable Graph Neural Networks via Concept Matching Model. ICDM 2023: 950-955
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