Qingxia Liu, Yue Chen, Gong Cheng and

Evgeny Kharlamov, Junyou Li, Yuzhong Qu

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Qian Huang, Horace He, Abhay Singh and

Yan Zhang, Ser Nam Lim, Austin Benson

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Luyang Huang, Lingfei Wu, Lu Wang

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Knowledge Summarization, abstractive summarization, semantic interpretation, generation summaries

Runzhe Wan, Lin Ge, Rui Song

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meta learning, bandits, transfer learning

Wanqian Yang, Lars Lorch, Moritz Graule and

Himabindu Lakkaraju, Finale Doshi-Velez

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Jan Overgoor, George Pakapol Supaniratisai, Johan Ugander

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network formation, choice models, social networks

Xiaomei Zhang, Yingying Chen, Bingke Zhu and

Jinqiao Wang, Ming Tang

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human parsing, segmentation, part-aware context network, part class module, relational aggregation module, relational dispersion module

Chao Huang

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Knowledge representation and reasoning, General

Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji

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Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy and

Navonil Majumder, Rada Mihalcea, Soujanya Poria

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Sentiment Analysis, Cross-domain analysis, KinGDOM, Knowledge-Guided Adaptation

Xiaoqiang Wang, Yali Du, Shengyu Zhu and

Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang

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Machine Learning Applications, Applications of Reinforcement Learning, Bayesian Networks

Haiyang Yu, Ningyu Zhang, Shumin Deng and

Hongbin Ye, Wei Zhang, Huajun Chen

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Jiajun Chen, Huarui He, Feng Wu, Jie Wang

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Hai Lan, Zhifeng Bao, Yuwei Peng

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database configuration, database system, index recommendation, deep reinforcement learning

Qingbao Huang, Linzhang Mo, Pijian Li and

Yi Cai, Qingguang Liu, Jielong Wei, Qing Li, Ho-fung Leung

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Adit Krishnan, Mahashweta Das, Mangesh Bendre and

Hao Yang, Hari Sundaram

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data sparsity, transfer learning, cross-domain recommendation, contextual invariants, neural layer adaptation

Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber

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information retrieval, ranking and preference learning, learning to rank, e-commerce search, implicit feedback, counterfactual risk minimization, dataset, mining data logs

Xiaoting Shao, Arseny Skryagin, Wolfgang Stammer and

Patrick Schramowski, Kristian Kersting

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Branislav Kveton, Mikhail Konobeev, Manzil Zaheer and

Chih-wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvari

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Reinforcement Learning and Planning, Bandits

Hang Yu, Lester Litchfield

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query classification, multi-objective optimization, e-com search

Yukuo Cen, Jianwei Zhang, Xu Zou and

Chang Zhou, Hongxia Yang, Jie Tang

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recommender system, multi-interest framework, sequential recommendation

Yang Zhang, Dong Wang, Qiang Li and

Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu, Derek F. Wong

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Machine Learning, Deep Learning, Applications of Supervised Learning, Recommender Systems

Yan Zhang, Zhao Zhang, Yang Wang and

Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang

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Roee Shraga, Haggai Roitman, Guy Feigenblat, Mustafa Cannim

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experimentation, multimodal deep-learning, table retrieval

Rachel Behar, Sara Cohen

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hierarchical data, end-biased, histograms

Dinghuai Zhang, Kartik Ahuja, Yilun Xu and

Yisen Wang, Aaron Courville

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Deep Learning, Algorithms, Theory; Theory, Regularization

Antoine Bosselut, Ronan Le Bras, Yejin Choi

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Liqiang Song, Ye Bi, Mengqiu Yao and

Zhenyu Wu, Jianming Wang, Jing Xiao

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session-based social recommendation, virtual friends, temporal information encoding

Jiani Huang, Calvin Smith, Osbert Bastani and

Rishabh Singh, Aws Albarghouthi, Mayur Naik

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Deep Learning - Algorithms

Feng Yu, Yanqiao Zhu, Qiang Liu and

Shu Wu, Liang Wang, Tieniu Tan

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session-based recommendation, target attention, graph neural networks

Qi Cai, Yu Wang, Yingwei Pan and

Ting Yao, Tao Mei

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Yuxuan Han, Jiaolong Yang, Ying Fu

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Computer Vision, 2D and 3D Computer Vision, Explainable/Interpretable Machine Learning

Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith and

Lawrence Carin, Piyush Rai

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generative model, representation learning, continual learning

Kento Nozawa, Issei Sato

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machine learning, representation learning

Lijun Wang, Jianming Zhang, Oliver Wang and

Zhe Lin, Huchuan Lu

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monocular depth estimation, per-segment prediction, depth aggregation, semantic devide-and-conquer

Lifu Tu, Tianyu Liu, Kevin Gimpel

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natural processing, sequence labeling, semantic labeling, parsing

Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jingping Bi

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heterogeneous information network, heterogeneous graph convolutional network, collective classification, relational learning

Ali Montazeralghaem, Hamed Zamani, James Allan

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reinforcement learning, query language model, relevance feedback model, neural network

Gilad Fuchs, Yoni Acriche, Idan Hasson, Pavel Petrov

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machine learning, e-commerce, sentence similarity

Kai Wang, Weizhou Shen, Yunyi Yang and

Xiaojun Quan, Rui Wang

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Aspect-based Analysis, encoding information, sentiment prediction, Relational Network