Browsing byAuthorFang, M

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Issue DateTitleAuthor(s)
2013-01-01Active class discovery and learning for networked dataFang, M; Yin, J; Zhu, X; Zhang, C
2013-12-11Active exploration: Simultaneous sampling and labeling for large graphsFang, M; Yin, J; Zhu, X
2012-11-07Active learning from oracle with knowledge blind spotFang, M; Zhu, X; Zhang, C
2017-11-01Active multitask learning with trace norm regularization based on excess riskFang, M; Yin, J; Hall, LO; Tao, D
2015Bandit learning for sequential decision making : a practical way to address the trade-off between exploration and exploitationFang, M
2023-01-01CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language ModelsZhao, J; Fang, M; Shi, Z; Li, Y; Chen, L; Pechenizkiy, M
2023CITB: A Benchmark for Continual Instruction TuningZhang, Z; Fang, M; Chen, L; Namazi-Rad, M-R
2020-12-12Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based GamesXu, Y; Fang, M; Chen, L; Zhou, T; Du, Y; Zhang, C
2020-08-01Deep Reinforcement Learning with Transformers for Text Adventure GamesXu, Y; Chen, L; Fang, M; Wang, Y; Zhang, C
2020-10Development and External Validation of Radiomics Approach for Nuclear Grading in Clear Cell Renal Cell Carcinoma.Zhou, H; Mao, H; Dong, D; Fang, M; Gu, D; Liu, X; Xu, M; Yang, S; Zou, J; Yin, R; Zheng, H; Tian, J; Pan, C; Fang, X
2019-03-01Enhancing the robustness of neural collaborative filtering systems under malicious attacksDu, Y; Fang, M; Yi, J; Xu, C; Cheng, J; Tao, D
2021-01-01Generalization in Text-based Games via Hierarchical Reinforcement LearningXu, Y; Fang, M; Chen, L; Du, Y; Zhang, C
2013-11-25Hierarchical sampling for multi-instance ensemble learningYuan, H; Fang, M; Zhu, X
2023-01-01How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent AdvancesZhang, Z; Fang, M; Chen, L; Namazi-Rad, MR; Wang, J
2012-12-01I don't know the label: Active learning with blind knowledgeFang, M; Zhu, X
2022-01-01Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for TopicsZhang, Z; Fang, M; Chen, L; Namazi-Rad, MR
2016-01-01Iterative views agreement: An iterative low-rank based structured optimization method to multi-view spectral clusteringWang, Y; Wenjie, Z; Wu, L; Lin, X; Fang, M; Pan, S
2013-10-31Knowledge transfer for multi-labeler active learningFang, M; Yin, J; Zhu, X
2016-01-01Linear submodular bandits with a knapsack constraintYu, B; Fang, M; Tao, D
2016-01-01Multi-label active learning based on maximum correntropy criterion: Towards robust and discriminative labelingWang, Z; Du, B; Zhang, L; Fang, M; Tao, D