Yanlin Feng, Xinyue Chen, Bill Yuchen Lin and

Peifeng Wang, Jun Yan, Xiang Ren

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multi-hop reasoning, question models, knowledge-aware approach, multi-hop module

Sriram Vasudevan, Krishnaram Kenthapadi

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scalable framework, distributed computation, fairness-aware machine learning, linkedin fairness toolkit

Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jingping Bi

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

Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju and

Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe

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Arnu Pretorius, Scott Cameron, Elan van Biljon and

Thomas Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan Shock, Alex Laterre, Karim Beguir

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Vijaikumar M, Shirish Shevade, Narasimha Murty

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cross-domain collaborative filtering, deep learning, neural networks, wide and deep framework, recommendation system

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

Kristen M. Altenburger, Johan Ugander

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Web and Social Media

Elliot Creager, David Madras, Toniann Pitassi, Richard Zemel

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Fairness, Equity, Justice, and Safety

Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl and

Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson

Keywords Abstract Paper

Meta-Learning, Bayesian Reinforcement Learning, BAMDPs, Deep Reinforcement Learning

Johannes Huegle

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Machine Learning, Learning Graphical Models, Probabilistic Machine Learning, Statistical Methods and Machine Learning, Action, Change and Causality

Bo Li, Wei Ye, Canming Huang, Shikun Zhang

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Saurabh Srivastava, Mayur Patidar, Sudip Chowdhury and

Puneet Agarwal, Indrajit Bhattacharya, Gautam Shroff

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Kimberley R. Allison, Kay Bussey

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communities, connections, echo chambers, engagement, feedback, networks, shared

Ze Wang, Guangyan Lin, Huobin Tan and

Qinghong Chen, Xiyang Liu

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knowledge-aware attention mechanism, recommender systems, heterogeneous propagation, knowledge graph

Hao Tang, Dan Xu, Yan Yan and

Philip H.S. Torr, Nicu Sebe

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generative adversarial networks, local, global, semantic guided, scene generation, semantic image synthesis, cross-view image generation, class-specific feature representation, attention fusion

Junzhi Gong, Yuliang Li, Bilal Anwer and

Aman Shaikh, Minlan Yu

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NFV, diagnosis, performance

Antoine Bosselut, Ronan Le Bras, Yejin Choi

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Jens Emil Grønbæk, Mille Knudsen, Kenton O'Hara and

Peter Krogh, Jo Vermeulen, Marianne Graves Petersen

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interaction proxemics, ad hoc collaboration, sensing systems, proximity sensing, cross-device interaction

Yiding Liu, Yulong Gu, Zhuoye Ding and

Junchao Gao, Ziyi Guo, Yongjun Bao, Weipeng Yan

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recommender systems, graph convolution network

Jianhong Wang, Wangkun Xu, Yunjie Gu and

Wenbin Song, Tim C Green

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reinforcement learning and planning, graph learning

Wanqi Xue, Youzhi Zhang, Shuxin Li and

Xinrun Wang, Bo An, Chai Kiat Yeo

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Multidisciplinary Topics and Applications, Security and Privacy, Computational Sustainability

Chao Huang

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Knowledge representation and reasoning, General

Qingxia Liu, Yue Chen, Gong Cheng and

Evgeny Kharlamov, Junyou Li, Yuzhong Qu

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Haozhe Ji, Pei Ke, Shaohan Huang and

Furu Wei, Minlie Huang

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Cenk Gündoğan, Christian Amsüss, Thomas C. Schmidt, Matthias Wählisch

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OSCORE, ICN, Internet of Things, CoAP Proxy, content object security, protocol evaluation

Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel

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Erman Acar, Rafael Peñaloza

Keywords Abstract Paper

Description logics-General, Knowledge representation languages-General, Uncertainty, vagueness, many-valued and fuzzy logics-General

Muktadir Chowdhury, Junaid Ahmed Khan, Lan Wang

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forwarding, Named Data Networking, routing, MANET

Lei Zhong, Juan Cao, Qiang Sheng and

Junbo Guo, Ziang Wang

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Controversy Detection, Identifying posts, mining sentiment, assessing events

Lianghao Xia, Chao Huang, Yong Xu and

Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo

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Carolina Nobre, Dylan Wootton, Lane Harrison, Alexander Lex

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multivariate networks visualization, crowdsourced evaluation

Cesar Ojeda, Kostadin Cvejoski, Bodgan Georgiev and

Christian Bauckhage, Jannis Schuecker, Ramses J. Sanchez

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Eli Sherman, David Arbour, Ilya Shpitser

Keywords Abstract Paper

Sitraka Oliva Raharivelo, Jean-Pierre Müller

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Agent-based and Multi-agent Systems, Normative systems, Coordination and Cooperation, Description Logics and Ontologies, Agent Societies

lucadiliello Di Liello, Pierfrancesco Ardino, Jacopo Gobbi and

Paolo Morettin, Stefano Teso, Andrea Passerini

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, Probabilistic Methods -> Causal Inference

Calvin Murdock, Simon Lucey

Keywords Abstract Paper

deep learning, sparse approximation theory, deep network architectures, model selection, sparsity, mutual coherence

Shang Gao, Jingya Wang, Huchuan Lu, Zimo Liu

Keywords Abstract Paper

occluded person reid, pose estimation, self-supervised learning, graph matching

Anirudh Goyal ALIAS PARTH GOYAL, Aniket Didolkar, Nan Rosemary Ke and

Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio

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deep learning, graph learning

Shuangli Li, Jingbo Zhou, Tong Xu and

Hao Liu, Xinjiang Lu, Hui Xiong

Keywords Abstract Paper

graph neural networks, heterogeneous information network, competitive analysis, point of interest