KDD - RankMe – RankMe

422 papers

Year	Title / Authors
2020	A Block Decomposition Algorithm for Sparse Optimization. Ganzhao Yuan, Li Shen, Wei-Shi Zheng
2020	A Causal Look at Statistical Definitions of Discrimination. Elias Chaibub Neto
2020	A Data-Driven Graph Generative Model for Temporal Interaction Networks. Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He
2020	A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen
2020	A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
2020	A Geometric Approach to Predicting Bounds of Downstream Model Performance. Brian J. Goode, Debanjan Datta
2020	A Non-Iterative Quantile Change Detection Method in Mixture Model with Heavy-Tailed Components. Yuantong Li, Qi Ma, Sujit K. Ghosh
2020	A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network. Tianyu Kang, Ping Chen, John Quackenbush, Wei Ding
2020	A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation. Hong Zhang, Lan Zhang, Lan Xu, Xiaoyang Ma, Zhengtao Wu, Cong Tang, Wei Xu, Yiguo Yang
2020	A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario. Monidipa Das, Mahardhika Pratama, Tegoeh Tjahjowidodo
2020	A Sleeping, Recovering Bandit Algorithm for Optimizing Recurring Notifications. Kevin P. Yancey, Burr Settles
2020	AI for Intelligent Financial Services: Examples and Discussion. Manuela Veloso
2020	ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization. Gordon Euhyun Moon, J. Austin Ellis, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan
2020	AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei
2020	ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee
2020	Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS. Bartley Richardson, Bradley Rees, Tom Drabas, Even Oldridge, David A. Bader, Rachel Allen
2020	Accessible Online Meetings and Presentations. Brianna Blaser
2020	Acoustic Measures for Real-Time Voice Coaching. Ying Li, Abraham Miller, Arthur Liu, Kyle Coburn, Luis J. Salazar
2020	Adaptive Graph Encoder for Attributed Graph Embedding. Ganqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu
2020	Ads Allocation in Feed via Constrained Optimization. Jinyun Yan, Zhiyuan Xu, Birjodh Singh Tiwana, Shaunak Chatterjee
2020	AdvMind: Inferring Adversary Intent of Black-Box Attacks. Ren Pang, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang
2020	Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon
2020	Adversarial Attacks and Defenses: Frontiers, Advances and Practice. Han Xu, Yaxin Li, Wei Jin, Jiliang Tang
2020	Adversarial Infidelity Learning for Model Interpretation. Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang
2020	Algorithmic Aspects of Temporal Betweenness. Sebastian Buß, Hendrik Molter, Rolf Niedermeier, Maciej Rymar
2020	Algorithmic Decision Making with Conditional Fairness. Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
2020	Aligning Superhuman AI with Human Behavior: Chess as a Model System. Reid McIlroy-Young, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson
2020	An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images. Zekun Li, Yao-Yi Chiang, Sasan Tavakkol, Basel Shbita, Johannes H. Uhl, Stefan Leyk, Craig A. Knoblock
2020	An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola
2020	An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2020	An Empirical Analysis of Backward Compatibility in Machine Learning Systems. Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
2020	Artificial Intelligence for Healthcare. Dorin Comaniciu
2020	Attackability Characterization of Adversarial Evasion Attack on Discrete Data. Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang
2020	Attention and Memory-Augmented Networks for Dual-View Sequential Learning. Yong He, Cheng Wang, Nan Li, Zhenyu Zeng
2020	Attention based Multi-Modal New Product Sales Time-series Forecasting. Vijay Ekambaram, Kushagra Manglik, Sumanta Mukherjee, Surya Shravan Kumar Sajja, Satyam Dwivedi, Vikas Raykar
2020	Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data. Fengli Xu, Yong Li, Shusheng Xu
2020	Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies. Zhen Qin, Suming J. Chen, Donald Metzler, Yongwoo Noh, Jingzheng Qin, Xuanhui Wang
2020	AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2020	AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. Wei Wen, Feng Yan, Yiran Chen, Hai Li
2020	AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han
2020	AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space. Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell
2020	AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction. Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng
2020	AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
2020	Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data. Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao
2020	Average Sensitivity of Spectral Clustering. Pan Peng, Yuichi Yoshida
2020	BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
2020	BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision. Chen Liang, Yue Yu, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao, Chao Zhang
2020	Balanced Order Batching with Task-Oriented Graph Clustering. Lu Duan, Haoyuan Hu, Zili Wu, Guozheng Li, Xinhang Zhang, Yu Gong, Yinghui Xu
2020	Bandit based Optimization of Multiple Objectives on a Music Streaming Platform. Rishabh Mehrotra, Niannan Xue, Mounia Lalmas
2020	Block Model Guided Unsupervised Feature Selection. Zilong Bai, Hoa Nguyen, Ian Davidson
2020	Bootstrapping Complete The Look at Pinterest. Eileen Li, Eric Kim, Andrew Zhai, Josh Beal, Kunlong Gu
2020	Bringing Inclusive Diversity to Data Science: Opportunities and Challenges. Heriberto Acosta Maestre
2020	Broadening Participation in Technology Policy. Brianna B. Posadas
2020	Build the State-of-the-Art Machine Learning Technology for the Crypto Economy. Michael Li, Catalin Tiseanu, Burkay Gur
2020	Building Continuous Integration Services for Machine Learning. Bojan Karlas, Matteo Interlandi, Cédric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer
2020	Building Forecasting Solutions Using Open-Source and Azure Machine Learning. Chenhui Hu, Vanja Paunic
2020	Building Recommender Systems with PyTorch. Dheevatsa Mudigere, Maxim Naumov, Joe Spisak, Geeta Chauhan, Narine Kokhlikyan, Amanpreet Singh, Vedanuj Goswami
2020	BusTr: Predicting Bus Travel Times from Real-Time Traffic. Richard Barnes, Senaka Buthpitiya, James Cook, Alex Fabrikant, Andrew Tomkins, Fangzhou Xu
2020	CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
2020	CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams. Tomas Martin, Guy Francoeur, Petko Valtchev
2020	CLARA: Confidence of Labels and Raters. Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Udi Weinsberg, Henry C. Lin, Steve Metz, Neil Chandra, Jane Jing, Dimitris Kalimeris
2020	COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
2020	Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors. Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
2020	Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades. Francesco Ducci, Mathias Kraus, Stefan Feuerriegel
2020	Catalysis Clustering with GAN by Incorporating Domain Knowledge. Olga Andreeva, Wei Li, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen
2020	Category-Specific CNN for Visual-aware CTR Prediction at JD.com. Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan
2020	Causal Inference Meets Machine Learning. Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao
2020	Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments. Zenan Wang, Xuan Yin, Tianbo Li, Liangjie Hong
2020	Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks. Xin Zhang, Xiujun Shu, Bingwen Zhang, Jie Ren, Lizhou Zhou, Xin Chen
2020	Certifiable Robustness of Graph Convolutional Networks under Structure Perturbations. Daniel Zügner, Stephan Günnemann
2020	Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services. Shuai Zhao, Wen-Ling Hsu, George Ma, Tan Xu, Guy Jacobson, Raif M. Rustamov
2020	City Metro Network Expansion with Reinforcement Learning. Yu Wei, Minjia Mao, Xi Zhao, Jianhua Zou, Ping An
2020	Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion. Yumin Liu, Auroop R. Ganguly, Jennifer G. Dy
2020	CoRE Lab - An Effort to Engage College Hispanic Students in STEM. Wilson E. Lozano-Rolon
2020	CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han
2020	Combinatorial Black-Box Optimization with Expert Advice. Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel C. Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan
2020	Combo-Attention Network for Baidu Video Advertising. Tan Yu, Yi Yang, Yi Li, Xiaodong Chen, Mingming Sun, Ping Li
2020	CompactETA: A Fast Inference System for Travel Time Prediction. Kun Fu, Fanlin Meng, Jieping Ye, Zheng Wang
2020	Competitive Analysis for Points of Interest. Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu, Hui Xiong
2020	Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems. Hao-Jun Michael Shi, Dheevatsa Mudigere, Maxim Naumov, Jiyan Yang
2020	Comprehensive Information Integration Modeling Framework for Video Titling. Shengyu Zhang, Ziqi Tan, Zhou Zhao, Jin Yu, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu
2020	Computer Vision: Deep Dive into Object Segmentation Approaches. Yuanbo Wang, Osama Sakhi, Ala Eddine Ayadi, Matthew S. Hagen, Estelle Afshar
2020	ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps. Xiaomin Fang, Jizhou Huang, Fan Wang, Lingke Zeng, Haijin Liang, Haifeng Wang
2020	Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang
2020	Contagious Chain Risk Rating for Networked-guarantee Loans. Dawei Cheng, Zhibin Niu, Yiyi Zhang
2020	Context-Aware Attentive Knowledge Tracing. Aritra Ghosh, Neil T. Heffernan, Andrew S. Lan
2020	Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems. Zhenxin Fu, Shaobo Cui, Mingyue Shang, Feng Ji, Dongyan Zhao, Haiqing Chen, Rui Yan
2020	Controllable Multi-Interest Framework for Recommendation. Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang
2020	Correlation Networks for Extreme Multi-label Text Classification. Guangxu Xun, Kishlay Jha, Jianhui Sun, Aidong Zhang
2020	Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette
2020	Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts. Hongwei Li, Qingping Yang, Yixuan Cao, Jiaquan Yao, Ping Luo
2020	Cracking the Black Box: Distilling Deep Sports Analytics. Xiangyu Sun, Jack Davis, Oliver Schulte, Guiliang Liu
2020	CrowdQuake: A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning. Xin Huang, Jangsoo Lee, Young-Woo Kwon, Chul-Ho Lee
2020	Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2020	CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis. Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju
2020	DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection. Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha
2020	DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation. Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee
2020	Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning. Claudia Plant, Sonja Biedermann, Christian Böhm
2020	Data Paucity and Low Resource Scenarios: Challenges and Opportunities. Mona T. Diab
2020	Data Pricing - From Economics to Data Science. Jian Pei
2020	Data Science for the Real Estate Industry. Ron Bekkerman, Vanja Josifovski, Foster J. Provost
2020	Data Sketching for Real Time Analytics: Theory and Practice. Daniel Ting, Jonathan Malkin, Lee Rhodes
2020	Data-Driven Never-Ending Learning Question Answering Systems. Estevam R. Hruschka Jr.
2020	Data-driven Simulation and Optimization for Covid-19 Exit Strategies. Salah Ghamizi, Renaud Rwemalika, Maxime Cordy, Lisa Veiber, Tegawendé F. Bissyandé, Mike Papadakis, Jacques Klein, Yves Le Traon
2020	Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial. Pedro Saleiro, Kit T. Rodolfa, Rayid Ghani
2020	Debiasing Grid-based Product Search in E-commerce. Ruocheng Guo, Xiaoting Zhao, Adam Henderson, Liangjie Hong, Huan Liu
2020	Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction. Subhabrata Dutta, Sarah Masud, Soumen Chakrabarti, Tanmoy Chakraborty
2020	Deep Graph Learning: Foundations, Advances and Applications. Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma
2020	Deep Learning for Anomaly Detection. Ruoying Wang, Kexin Nie, Yen-Jung Chang, Xinwei Gong, Tie Wang, Yang Yang, Bo Long
2020	Deep Learning for Industrial AI: Challenges, New Methods and Best Practices. Chetan Gupta, Ahmed K. Farahat
2020	Deep Learning for Search and Recommender Systems in Practice. Zhoutong Fu, Huiji Gao, Weiwei Guo, Sandeep Kumar Jha, Jun Jia, Xiaowei Liu, Bo Long, Jun Shi, Sida Wang, Mingzhou Zhou
2020	Deep Learning of High-Order Interactions for Protein Interface Prediction. Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji
2020	Deep State-Space Generative Model For Correlated Time-to-Event Predictions. Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui
2020	DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach
2020	DeepSinger: Singing Voice Synthesis with Data Mined From the Web. Yi Ren, Xu Tan, Tao Qin, Jian Luan, Zhou Zhao, Tie-Yan Liu
2020	DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters. Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase, Yuxiong He
2020	DeepTriage: Automated Transfer Assistance for Incidents in Cloud Services. Phuong Pham, Vivek Jain, Lukas Dauterman, Justin Ormont, Navendu Jain
2020	Delivery Scope: A New Way of Restaurant Retrieval for On-demand Food Delivery Service. Xuetao Ding, Runfeng Zhang, Zhen Mao, Ke Xing, Fangxiao Du, Xingyu Liu, Guoxing Wei, Feifan Yin, Renqing He, Zhizhao Sun
2020	Directional Multivariate Ranking. Nan Wang, Hongning Wang
2020	Discovering Approximate Functional Dependencies using Smoothed Mutual Information. Frédéric Pennerath, Panagiotis Mandros, Jilles Vreeken
2020	Discovering Functional Dependencies from Mixed-Type Data. Panagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken
2020	Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity. Jonas Fischer, Jilles Vreeken
2020	Disentangled Self-Supervision in Sequential Recommenders. Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu
2020	Diverse Rule Sets. Guangyi Zhang, Aristides Gionis
2020	Diversity and Inclusion, a Perspective from a Four Years MSI Faculty Member. Eliana Valenzuela Andrade
2020	Doing in One Go: Delivery Time Inference Based on Couriers' Trajectories. Sijie Ruan, Zi Xiong, Cheng Long, Yiheng Chen, Jie Bao, Tianfu He, Ruiyuan Li, Shengnan Wu, Zhongyuan Jiang, Yu Zheng
2020	Domain Specific Knowledge Graphs as a Service to the Public: Powering Social-Impact Funding in the US. Ying Li, Vitalii Zakhozhyi, Daniel Zhu, Luis J. Salazar
2020	Dual Channel Hypergraph Collaborative Filtering. Shuyi Ji, Yifan Feng, Rongrong Ji, Xibin Zhao, Wanwan Tang, Yue Gao
2020	Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction. Wenjuan Luo, Han Zhang, Xiaodi Yang, Lin Bo, Xiaoqing Yang, Zang Li, Xiaohu Qie, Jieping Ye
2020	Dynamic Knowledge Graph based Multi-Event Forecasting. Songgaojun Deng, Huzefa Rangwala, Yue Ning
2020	Easy Perturbation EEG Algorithm for Spectral Importance (easyPEASI): A Simple Method to Identify Important Spectral Features of EEG in Deep Learning Models. David O. Nahmias, Kimberly L. Kontson
2020	Edge AI: Systems Design and ML for IoT Data Analytics. Radu Marculescu, Diana Marculescu, Ümit Y. Ogras
2020	Edge-consensus Learning: Deep Learning on P2P Networks with Nonhomogeneous Data. Kenta Niwa, Noboru Harada, Guoqiang Zhang, W. Bastiaan Kleijn
2020	Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs. Clara H. McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain
2020	Efficient Algorithm for the b-Matching Graph. Yasuhiro Fujiwara, Atsutoshi Kumagai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda
2020	Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach. Lu Duan, Yang Zhan, Haoyuan Hu, Yu Gong, Jiangwen Wei, Xiaodong Zhang, Yinghui Xu
2020	Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis. Yu Meng, Jiaxin Huang, Jiawei Han
2020	Embedding-based Retrieval in Facebook Search. Jui-Ting Huang, Ashish Sharma, Shuying Sun, Li Xia, David Zhang, Philip Pronin, Janani Padmanabhan, Giuseppe Ottaviano, Linjun Yang
2020	Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network. Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong
2020	Estimating Properties of Social Networks via Random Walk considering Private Nodes. Kazuki Nakajima, Kazuyuki Shudo
2020	Estimating the Percolation Centrality of Large Networks through Pseudo-dimension Theory. Alane M. de Lima, Murilo V. G. da Silva, André Luís Vignatti
2020	Evaluating Conversational Recommender Systems via User Simulation. Shuo Zhang, Krisztian Balog
2020	Evaluating Fairness Using Permutation Tests. Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal
2020	Explainable Classification of Brain Networks via Contrast Subgraphs. Tommaso Lanciano, Francesco Bonchi, Aristides Gionis
2020	Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
2020	Fairness in Machine Learning for Healthcare. Muhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert, Vikas Kumar, Ankur Teredesai
2020	Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns. Qingsong Wen, Zhe Zhang, Yan Li, Liang Sun
2020	Faster Secure Data Mining via Distributed Homomorphic Encryption. Junyi Li, Heng Huang
2020	Faster, Simpler, More Accurate: Practical Automated Machine Learning with Tabular, Text, and Image Data. Jonas Mueller, Xingjian Shi, Alexander J. Smola
2020	Feature-Induced Manifold Disambiguation for Multi-View Partial Multi-label Learning. Jing-Han Wu, Xuan Wu, Qing-Guo Chen, Yao Hu, Min-Ling Zhang
2020	FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems. Khalil Muhammad, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Neil Hurley, James Geraci, Aonghus Lawlor
2020	Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang
2020	Fighting a Pandemic: Convergence of Expertise, Data Science and Policy. Tina Eliassi-Rad, Nitesh V. Chawla, Vittoria Colizza, Lauren Gardner, Marcel Salathé, Samuel V. Scarpino, Joseph T. Wu
2020	Finding Effective Geo-social Group for Impromptu Activities with Diverse Demands. Lu Chen, Chengfei Liu, Rui Zhou, Jiajie Xu, Jeffrey Xu Yu, Jianxin Li
2020	Fitbit for Chickens?: Time Series Data Mining Can Increase the Productivity of Poultry Farms. Alireza Abdoli, Sara Alaee, Shima Imani, Amy C. Murillo, Alec C. Gerry, Leslie Hickle, Eamonn J. Keogh
2020	Forecasting the Evolution of Hydropower Generation. Fan Zhou, Liang Li, Kunpeng Zhang, Goce Trajcevski, Fuming Yao, Ying Huang, Ting Zhong, Jiahao Wang, Qiao Liu
2020	Fraud Transactions Detection via Behavior Tree with Local Intention Calibration. Can Liu, Qiwei Zhong, Xiang Ao, Li Sun, Wangli Lin, Jinghua Feng, Qing He, Jiayu Tang
2020	FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents. Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata
2020	From Online to Non-i.i.d. Batch Learning. Yufei Tao, Shangqi Lu
2020	From Zero to AI Hero with Automated Machine Learning. Aniththa Umamahesan, Deepak Mukunthu Iyappan Babu
2020	GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang
2020	GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases. Zongyue Qin, Yunsheng Bai, Yizhou Sun
2020	GPT-GNN: Generative Pre-Training of Graph Neural Networks. Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun
2020	GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction. Thai Le, Suhang Wang, Dongwon Lee
2020	Game Action Modeling for Fine Grained Analyses of Player Behavior in Multi-player Card Games (Rummy as Case Study). Sharanya Eswaran, Mridul Sachdeva, Vikram Vimal, Deepanshi Seth, Suhaas Kalpam, Sanjay Agarwal, Tridib Mukherjee, Samrat Dattagupta
2020	Gemini: A Novel and Universal Heterogeneous Graph Information Fusing Framework for Online Recommendations. Jixing Xu, Zhenlong Zhu, Jianxin Zhao, Xuanye Liu, Minghui Shan, Jiecheng Guo
2020	General-Purpose User Embeddings based on Mobile App Usage. Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang
2020	Generic Outlier Detection in Multi-Armed Bandit. Yikun Ban, Jingrui He
2020	Geodemographic Influence Maximization. Kaichen Zhang, Jingbo Zhou, Donglai Tao, Panagiotis Karras, Qing Li, Hui Xiong
2020	Geodesic Forests. Meghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe
2020	Geography-Aware Sequential Location Recommendation. Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen
2020	Grale: Designing Networks for Graph Learning. Jonathan Halcrow, Alexandru Mosoi, Sam Ruth, Bryan Perozzi
2020	Grammatically Recognizing Images with Tree Convolution. Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin
2020	Graph Attention Networks over Edge Content-Based Channels. Lu Lin, Hongning Wang
2020	Graph Structural-topic Neural Network. Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin
2020	Graph Structure Learning for Robust Graph Neural Networks. Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
2020	GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce. Sean Bell, Yiqun Liu, Sami Alsheikh, Yina Tang, Edward Pizzi, M. Henning, Karun Singh, Omkar Parkhi, Fedor Borisyuk
2020	Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang
2020	HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification. Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jingping Bi
2020	HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness. Jiayi Chen, Aidong Zhang
2020	HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
2020	HOPS: Probabilistic Subtree Mining for Small and Large Graphs. Pascal Welke, Florian Seiffarth, Michael Kamp, Stefan Wrobel
2020	Handling Information Loss of Graph Neural Networks for Session-based Recommendation. Tianwen Chen, Raymond Chi-Wing Wong
2020	Heidegger: Interpretable Temporal Causal Discovery. Mehrdad Mansouri, Ali Arab, Zahra Zohrevand, Martin Ester
2020	HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival. Huiting Hong, Yucheng Lin, Xiaoqing Yang, Zang Li, Kun Fu, Zheng Wang, Xiaohu Qie, Jieping Ye
2020	Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea. Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee
2020	HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma
2020	Hierarchical Attention Propagation for Healthcare Representation Learning. Muhan Zhang, Christopher Ryan King, Michael Avidan, Yixin Chen
2020	Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
2020	High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder. Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna R. Nemani, Eleanor Gilbert Rieffel
2020	Higher-order Clustering in Complex Heterogeneous Networks. Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh
2020	How AI Can Help Build Resiliency for Small Businesses in a Global Economic Crisis. Nhung Ho
2020	How Can Computer Science Education Address Inequities. Manuel A. Pérez-Quiñones
2020	How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model. Natalia Culakova, Dan Murphy, Joao Gante, Carlos Ledezma, Vahan Hovhannisyan, Alan Mosca
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2020	Hubble: An Industrial System for Audience Expansion in Mobile Marketing. Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi
2020	Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data. Rui Dai, Shenkun Xu, Qian Gu, Chenguang Ji, Kaikui Liu
2020	Hyperbolic Distance Matrices. Puoya Tabaghi, Ivan Dokmanic
2020	Hypergraph Clustering Based on PageRank. Yuuki Takai, Atsushi Miyauchi, Masahiro Ikeda, Yuichi Yoshida
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2020	Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers. Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, Amulya Yadav
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2020	Keynote Speaker: Alessandro Vespignani. Alessandro Vespignani
2020	Keynote Speaker: Emery N. Brown. Emery N. Brown
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2020	Local Motif Clustering on Time-Evolving Graphs. Dongqi Fu, Dawei Zhou, Jingrui He
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2020	Minimizing Localized Ratio Cut Objectives in Hypergraphs. Nate Veldt, Austin R. Benson, Jon M. Kleinberg
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2020	Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data. Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
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2020	No Computation without Representation: Avoiding Data and Algorithm Biases through Diversity. Caitlin Kuhlman, Latifa Jackson, Rumi Chunara
2020	NodeAug: Semi-Supervised Node Classification with Data Augmentation. Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi
2020	Non-Linear Mining of Social Activities in Tensor Streams. Koki Kawabata, Yasuko Matsubara, Takato Honda, Yasushi Sakurai
2020	Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han
2020	Off-policy Bandits with Deficient Support. Noveen Sachdeva, Yi Su, Thorsten Joachims
2020	On Sampled Metrics for Item Recommendation. Walid Krichene, Steffen Rendle
2020	On Sampling Top-K Recommendation Evaluation. Dong Li, Ruoming Jin, Jing Gao, Zhi Liu
2020	OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena. Linxia Gong, Xiaochuan Feng, Dezhi Ye, Hao Li, Runze Wu, Jianrong Tao, Changjie Fan, Peng Cui
2020	Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery. Lin Zhu, Wei Yu, Kairong Zhou, Xing Wang, Wenxing Feng, Pengyu Wang, Ning Chen, Pei Lee
2020	Overview and Importance of Data Quality for Machine Learning Tasks. Abhinav Jain, Hima Patel, Lokesh Nagalapatti, Nitin Gupta, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala
2020	Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System. Yipeng Zhang, Bo Du, Lefei Zhang, Jia Wu
2020	Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs. Nate Veldt, Anthony Wirth, David F. Gleich
2020	Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism. Gengyu Lyu, Songhe Feng, Yidong Li
2020	Personalized Image Retrieval with Sparse Graph Representation Learning. Xiaowei Jia, Handong Zhao, Zhe Lin, Ajinkya Kale, Vipin Kumar
2020	Personalized PageRank to a Target Node, Revisited. Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang
2020	Personalized Prefix Embedding for POI Auto-Completion in the Search Engine of Baidu Maps. Jizhou Huang, Haifeng Wang, Miao Fan, An Zhuo, Ying Li
2020	Perspectives on Broadening Participation in STEM Careers across Academia, Government, and Industry. Hasan Jackson
2020	Pest Management In Cotton Farms: An AI-System Case Study from the Global South. Aman Dalmia, Jerome White, Ankit Chaurasia, Vishal Agarwal, Rajesh Jain, Dhruvin Vora, Balasaheb Dhame, Raghu Dharmaraju, Rahul Panicker
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2020	Prediction and Profiling of Audience Competition for Online Television Series. Peng Zhang, Chuanren Liu, Kefeng Ning, Wenxiang Zhu, Yu Zhang
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2020	Prioritized Restreaming Algorithms for Balanced Graph Partitioning. Amel Awadelkarim, Johan Ugander
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2020	Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
2020	Put Deep Learning to Work: Accelerate Deep Learning through Amazon SageMaker and ML Services. Wenming Ye, Rachel Hu, Miro Enev
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2020	RECIPTOR: An Effective Pretrained Model for Recipe Representation Learning. Diya Li, Mohammed J. Zaki
2020	RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift. Lan-Zhe Guo, Zhi Zhou, Yufeng Li
2020	RayS: A Ray Searching Method for Hard-label Adversarial Attack. Jinghui Chen, Quanquan Gu
2020	Re-identification Attack to Privacy-Preserving Data Analysis with Noisy Sample-Mean. Du Su, Hieu Tri Huynh, Ziao Chen, Yi Lu, Wenmiao Lu
2020	Recent Advances in Multimodal Educational Data Mining in K-12 Education. Zitao Liu, Songfan Yang, Jiliang Tang, Neil T. Heffernan, Rose Luckin
2020	Recent Advances on Graph Analytics and Its Applications in Healthcare. Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang
2020	Reconstruction and Decomposition of High-Dimensional Landscapes via Unsupervised Learning. Jing Lei, Nasrin Akhter, Wanli Qiao, Amarda Shehu
2020	Recurrent Halting Chain for Early Multi-label Classification. Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
2020	Recurrent Networks for Guided Multi-Attention Classification. Xin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu, Constance M. Moore
2020	Redundancy-Free Computation for Graph Neural Networks. Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken
2020	Representing Temporal Attributes for Schema Matching. Yinan Mei, Shaoxu Song, Yunsu Lee, Jungho Park, Soo-Hyung Kim, Sungmin Yi
2020	Residual Correlation in Graph Neural Network Regression. Junteng Jia, Austin R. Benson
2020	Rethinking Pruning for Accelerating Deep Inference At the Edge. Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Ke Xu, Lothar Thiele
2020	Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian
2020	Rich Information is Affordable: A Systematic Performance Analysis of Second-order Optimization Using K-FAC. Yuichiro Ueno, Kazuki Osawa, Yohei Tsuji, Akira Naruse, Rio Yokota
2020	Robust Deep Learning Methods for Anomaly Detection. Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla
2020	Robust Spammer Detection by Nash Reinforcement Learning. Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
2020	SCE: Scalable Network Embedding from Sparsest Cut. Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou
2020	SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks. Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu
2020	SSumM: Sparse Summarization of Massive Graphs. Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin
2020	ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo
2020	STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang
2020	Salience and Market-aware Skill Extraction for Job Targeting. Baoxu Shi, Jaewon Yang, Feng Guo, Qi He
2020	Scalable Graph Neural Networks with Deep Graph Library. Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis
2020	Scaling Choice Models of Relational Social Data. Jan Overgoor, George Pakapol Supaniratisai, Johan Ugander
2020	Scaling Graph Neural Networks with Approximate PageRank. Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann
2020	Scientific Text Mining and Knowledge Graphs. Meng Jiang, Jingbo Shang
2020	Semantic Search in Millions of Equations. Lukas Pfahler, Katharina Morik
2020	Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model. Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu
2020	Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation. Wenhui Yu, Xiao Lin, Junfeng Ge, Wenwu Ou, Zheng Qin
2020	Shop The Look: Building a Large Scale Visual Shopping System at Pinterest. Raymond Shiau, Hao-Yu Wu, Eric Kim, Yue Li Du, Anqi Guo, Zhiyuan Zhang, Eileen Li, Kunlong Gu, Charles Rosenberg, Andrew Zhai
2020	SimClusters: Community-Based Representations for Heterogeneous Recommendations at Twitter. Venu Satuluri, Yao Wu, Xun Zheng, Yilei Qian, Brian Wichers, Qieyun Dai, Gui Ming Tang, Jerry Jiang, Jimmy Lin
2020	Simulating the Impact of Hospital Capacity and Social Isolation to Minimize the Propagation of Infectious Diseases. Shaon Bhatta Shuvo, Bonaventure C. Molokwu, Ziad Kobti
2020	Sliding Sketches: A Framework using Time Zones for Data Stream Processing in Sliding Windows. Xiangyang Gou, Long He, Yinda Zhang, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui
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2020	Straddling the Boundary between Contribution and Solution Driven Science. Daniel Marcu
2020	Structural Patterns and Generative Models of Real-world Hypergraphs. Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin
2020	Sub-Matrix Factorization for Real-Time Vote Prediction. Alexander Immer, Victor Kristof, Matthias Grossglauser, Patrick Thiran
2020	Support for Diverse Students. Daniel A. Jiménez
2020	TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning. Qiuling Suo, Jingyuan Chou, Weida Zhong, Aidong Zhang
2020	TIES: Temporal Interaction Embeddings for Enhancing Social Media Integrity at Facebook. Nima Noorshams, Saurabh Verma, Aude Hofleitner
2020	TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun
2020	TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations. Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang
2020	Taming Pretrained Transformers for Extreme Multi-label Text Classification. Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
2020	Targeted Data-driven Regularization for Out-of-Distribution Generalization. Mohammad Mahdi Kamani, Sadegh Farhang, Mehrdad Mahdavi, James Z. Wang
2020	Temporal-Contextual Recommendation in Real-Time. Yifei Ma, Balakrishnan (Murali) Narayanaswamy, Haibin Lin, Hao Ding
2020	The Dark Side of Machine Learning Algorithms: How and Why They Can Leverage Bias, and What Can Be Done to Pursue Algorithmic Fairness. Mariya I. Vasileva
2020	The Data Science Mentoring Fire Next Time: Innovative Strategies for Mentoring in Data Science. Latifa Jackson, Heriberto Acosta Maestre
2020	The Illusion of Inclusion: Large Scale Genomic Data Sovereignty and Indigenous Populations. Keolu Fox
2020	The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual Solver. Anton Zhernov, Krishnamurthy (Dj) Dvijotham, Ivan Lobov, Dan A. Calian, Michelle X. Gong, Natarajan Chandrashekar, Timothy A. Mann
2020	The Spectral Zoo of Networks: Embedding and Visualizing Networks with Spectral Moments. Shengmin Jin, Reza Zafarani
2020	Tight Sensitivity Bounds For Smaller Coresets. Alaa Maalouf, Adiel Statman, Dan Feldman
2020	Time-Aware User Embeddings as a Service. Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic, Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic
2020	TinyGNN: Learning Efficient Graph Neural Networks. Bencheng Yan, Chaokun Wang, Gaoyang Guo, Yunkai Lou
2020	To Tune or Not to Tune?: In Search of Optimal Configurations for Data Analytics. Ayat Fekry, Lucian Carata, Thomas F. J.-M. Pasquier, Andrew Rice, Andy Hopper
2020	Toward Responsible AI by Planning to Fail. Saleema Amershi
2020	Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction. Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu
2020	Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time. Che Liu, Junfeng Jiang, Chao Xiong, Yi Yang, Jieping Ye
2020	Towards Deeper Graph Neural Networks. Meng Liu, Hongyang Gao, Shuiwang Ji
2020	Towards Fair Truth Discovery from Biased Crowdsourced Answers. Yanying Li, Haipei Sun, Wendy Hui Wang
2020	Towards Physics-informed Deep Learning for Turbulent Flow Prediction. Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu
2020	TranSlider: Transfer Ensemble Learning from Exploitation to Exploration. Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai, Junzhou Huang
2020	Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes. Soorajnath Boominathan, Michael Oberst, Helen Zhou, Sanjat Kanjilal, David A. Sontag
2020	Truth Discovery against Strategic Sybil Attack in Crowdsourcing. Yue Wang, Ke Wang, Chunyan Miao
2020	Tutorial on Human-Centered Explainability for Healthcare. Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel M. Gruen, Kenney Ng, Daby Sow, Kush R. Varshney
2020	Tutorial on Online User Engagement: Metrics and Optimization. Liangjie Hong, Mounia Lalmas
2020	Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang
2020	USAD: UnSupervised Anomaly Detection on Multivariate Time Series. Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga
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2020	Unsupervised Paraphrasing via Deep Reinforcement Learning. A. B. Siddique, Samet Oymak, Vagelis Hristidis
2020	Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities. Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri
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2020	What is that Building?: An End-to-end System for Building Recognition from Streetside Images. Chiqun Zhang, Dragomir Yankov, Chun-Ting Wu, Simon Shapiro, Jason Hong, Wei Wu
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