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Publication search results
found 51 matches
- 2022
- Manish Bhanu, Rahul Kumar, Saswata Roy, João Mendes-Moreira, Joydeep Chandra:
Graph Multi-Head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction. PAKDD (1) 2022: 459-471 - Yiwen Cao, Kui Yu, Xiaoling Huang, Yujie Wang:
A New Skeleton-Neural DAG Learning Approach. PAKDD (1) 2022: 626-638 - Yang Chen, Miao Xie, Jiamou Liu, Kaiqi Zhao:
Interconnected Neural Linear Contextual Bandits with UCB Exploration. PAKDD (1) 2022: 169-181 - Fengli Cui, Yinghao Chen, Yuntao Du, Yikang Cao, Chongjun Wang:
Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation. PAKDD (1) 2022: 432-446 - Lu Dai, Bang Wang, Wei Xiang, Minghua Xu, Han Xu:
A Hybrid Semantic-Topic Co-encoding Network for Social Emotion Classification. PAKDD (1) 2022: 587-598 - Ashkan Farhangi, Ning Sui, Nan Hua, Haiyan Bai, Arthur Huang, Zhishan Guo:
Protoformer: Embedding Prototypes for Transformers. PAKDD (1) 2022: 447-458 - Preeti Gopal, Sunil Gupta, Santu Rana, Vuong Le, Trong Nguyen, Svetha Venkatesh:
Real-Time Skill Discovery in Intelligent Virtual Assistants. PAKDD (1) 2022: 315-327 - Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani:
Memory-Efficient Minimax Distance Measures. PAKDD (1) 2022: 419-431 - Masooma Iftikhar, Qing Wang, Yang Li:
dK-Personalization: Publishing Network Statistics with Personalized Differential Privacy. PAKDD (1) 2022: 194-207 - Yingchun Jian, Jinfeng Yi, Lijun Zhang:
Adaptive Feature Generation for Online Continual Learning from Imbalanced Data. PAKDD (1) 2022: 276-289 - Siyang Jiang, Wei Ding, Hsi-Wen Chen, Ming-Syan Chen:
PGADA: Perturbation-Guided Adversarial Alignment for Few-Shot Learning Under the Support-Query Shift. PAKDD (1) 2022: 3-15 - Shinhwan Kang, Kyuhan Lee, Kijung Shin:
Are Edge Weights in Summary Graphs Useful? - A Comparative Study. PAKDD (1) 2022: 54-67 - Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. PAKDD (1) 2022: 367-379 - Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram:
Multi-task Knowledge Graph Representations via Residual Functions. PAKDD (1) 2022: 262-275 - Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet:
Evolution-Based Online Automated Machine Learning. PAKDD (1) 2022: 472-484 - Jie Li, Jun-Qi Guo, Wei Gao:
Data Removal from an AUC Optimization Model. PAKDD (1) 2022: 221-235 - Ting Lin, Aixin Sun, Yequan Wang:
Aspect-Based Sentiment Analysis Through EDU-Level Attentions. PAKDD (1) 2022: 156-168 - Ngo Van Linh, Nam Le Hai, Hoang Pham, Khoat Than:
Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning. PAKDD (1) 2022: 16-28 - Shunjian Liu, Xinxin Feng, Haifeng Zheng:
Overcoming Forgetting in Local Adaptation of Federated Learning Model. PAKDD (1) 2022: 613-625 - Lin Liu, Wei Zhou, Junhao Wen, Yihao Zhang, Yu Wang, Hanwen Zhang:
LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation. PAKDD (1) 2022: 81-92 - Lu Ma, Peng Zhang, Xi Zhu, Dan Luo, Bin Wang:
Structure-Aware Reasoning for Knowledge Base Question Answering. PAKDD (1) 2022: 562-573 - Haodong Meng, Changzhi Chen, Hongyu Yi, Xiaofeng He:
Dual-State Knowledge Tracing Model with Mutual Information Maximization. PAKDD (1) 2022: 380-392 - Xiaoyun Mo, Mingqian Li, Mo Li:
Predicting Abnormal Events in Urban Rail Transit Systems with Multivariate Point Process. PAKDD (1) 2022: 41-53 - Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu:
Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. PAKDD (1) 2022: 68-80 - Ying Pang, Haibo Zhang, Jeremiah D. Deng, Lizhi Peng, Fei Teng:
Rule-Based Collaborative Learning with Heterogeneous Local Learning Models. PAKDD (1) 2022: 639-651 - Chung Park, Junui Hong, Cheonbok Park, Taesan Kim, Minsung Choi, Jaegul Choo:
PASTA: PArallel Spatio-Temporal Attention with Spatial Auto-Correlation Gating for Fine-Grained Crowd Flow Prediction. PAKDD (1) 2022: 354-366 - Hsien-Yung Peng, Ho-Lam Chung, Ying-Hong Chan, Yao-Chung Fan:
Misleading Inference Generation via Proximal Policy Optimization. PAKDD (1) 2022: 497-509 - Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, Khoat Than:
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation. PAKDD (1) 2022: 106-117 - Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier:
Smooth Perturbations for Time Series Adversarial Attacks. PAKDD (1) 2022: 485-496 - Yankun Ren, Longfei Li, Xinxing Yang, Jun Zhou:
AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification. PAKDD (1) 2022: 143-155
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