KDD 2020: all accepted papers
- The Spectral Zoo of Networks: Embedding and Visualizing Networks with Spectral Moments ↗Shengmin Jin, Reza Zafarani11 citations
- A Block Decomposition Algorithm for Sparse Optimization ↗Ganzhao Yuan, Li Shen, Wei‐Shi Zheng10 citations
- A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network ↗Tianyu Kang, Ping Chen, John Quackenbush et al.10 citations
- CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data ↗Xiang Li, Ben Kao, Caihua Shan et al.10 citations
- Catalysis Clustering with GAN by Incorporating Domain Knowledge ↗Olga A. Andreeva, Wei Li, Wei Ding et al.10 citations
- Combinatorial Black-Box Optimization with Expert Advice ↗Hamid Dadkhahi, Karthikeyan Shanmugam, Jesús Ríos et al.10 citations
- Discovering Functional Dependencies from Mixed-Type Data ↗Panagiotis Mandros, David Kaltenpoth, Mario Boley et al.10 citations
- Estimating the Percolation Centrality of Large Networks through Pseudo-dimension Theory ↗Alane M. de Lima, Murilo V. G. da Silva, André Luís Vignatti10 citations
- 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 et al.10 citations
- Matrix Profile XXI: A Geometric Approach to Time Series Chains Improves Robustness ↗Makoto Imamura, Takaaki Nakamura, Eamonn Keogh10 citations
- Price Investment using Prescriptive Analytics and Optimization in Retail ↗Prakhar Mehrotra, Linsey Xiaolin Pang, Karthick Gopalswamy et al.10 citations
- Targeted Data-driven Regularization for Out-of-Distribution Generalization ↗Mohammad Mahdi Kamani, Sadegh Farhang, Mehrdad Mahdavi et al.10 citations
- A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario ↗Monidipa Das, Mahardhika Pratama, Tegoeh Tjahjowidodo9 citations
- Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts ↗Hongwei Li, Qingping Yang, Yixuan Cao et al.9 citations
- Estimating Properties of Social Networks via Random Walk considering Private Nodes ↗Kazuki Nakajima, Kazuyuki Shudo9 citations
- From Zero to AI Hero with Automated Machine Learning ↗Umamahesan Aniththa, Deepak Mukunthu Iyappan Babu9 citations
- In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering Constraints ↗Domenico Mandaglio, Andrea Tagarelli, Francesco Gullo9 citations
- Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach ↗Di Yin, Jiwei Tan, Zhe Zhang et al.9 citations
- Lessons from Archives ↗Timnit Gebru9 citations
- List-wise Fairness Criterion for Point Processes ↗Jin Shang, Mingxuan Sun, Nina Lam9 citations
- Mining Implicit Relevance Feedback from User Behavior for Web Question Answering ↗Linjun Shou, Shining Bo, Feixiang Cheng et al.9 citations
- Rich Information is Affordable: A Systematic Performance Analysis of Second-order Optimization Using K-FAC ↗Yuichiro Ueno, Kazuki Osawa, Yohei Tsuji et al.9 citations
- SCE: Scalable Network Embedding from Sparsest Cut ↗Shengzhong Zhang, Zengfeng Huang, Haicang Zhou et al.9 citations
- In Search for a Cure ↗Iris Z. Shen, Le Zhang, Jianxun Lian et al.8 citations
- Learning Stable Graphs from Multiple Environments with Selection Bias ↗Yue Hui He, Peng Cui, Jianxin Ma et al.8 citations
- Learning with Small Data ↗Huaxiu Yao, Xiaowei Jia, Vipin Kumar et al.8 citations
- MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining ↗Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin et al.8 citations
- Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web ↗Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard et al.8 citations
- Multi-objective Optimization for Guaranteed Delivery in Video Service Platform ↗Hang Lei, Zhao Jie Yin, Longjun Cai8 citations
- Non-Linear Mining of Social Activities in Tensor Streams ↗Koki Kawabata, Yasuko Matsubara, Takato Honda et al.8 citations
- Spectrum-Guided Adversarial Disparity Learning ↗Zhe Liu, Lina Yao, Lei Bai et al.8 citations
- The Dark Side of Machine Learning Algorithms ↗Mariya I. Vasileva8 citations
- Toward Responsible AI by Planning to Fail ↗Saleema Amershi8 citations
- WeightGrad: Geo-Distributed Data Analysis Using Quantization for Faster Convergence and Better Accuracy ↗Syeda Nahida Akter, Muhammad Abdullah Adnan8 citations
- Deep State-Space Generative Model For Correlated Time-to-Event Predictions ↗Yuan Xue, Denny Zhou, Nan Du et al.7 citations
- Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning ↗Jingbo Zhou, Zhenwei Tang, Min Zhao et al.7 citations
- Meta-Learning for Query Conceptualization at Web Scale ↗Fred X. Han, Di Niu, Haolan Chen et al.7 citations
- Physics Inspired Models in Artificial Intelligence ↗Muhammad Aurangzeb Ahmad, Şener Özönder7 citations
- Prediction of Hourly Earnings and Completion Time on a Crowdsourcing Platform ↗Anna Lioznova, Alexey Valerievich Drutsa, Vladimir Kukushkin et al.7 citations
- Scalable Graph Neural Networks with Deep Graph Library ↗Da Zheng, Minjie Wang, Quan Gan et al.7 citations
- Scientific Text Mining and Knowledge Graphs ↗Meng Jiang, Jingbo Shang7 citations
- Statistically Significant Pattern Mining with Ordinal Utility ↗Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto et al.7 citations
- Building Recommender Systems with PyTorch ↗Dheevatsa Mudigere, Maxim Naumov, Joe Spisak et al.6 citations
- Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning ↗Claudia Plant, Sonja Biedermann, Christian Böhm6 citations
- Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity ↗Jonas Fischer, Jilles Vreeken6 citations
- Image and Video Understanding for Recommendation and Spam Detection Systems ↗Aman Gupta, Sirjan Kafle, Di Wen et al.6 citations
- Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps ↗Ata Akbari Asanjan, Kamalika Das, Alan Li et al.6 citations
- Mining Large Quasi-cliques with Quality Guarantees from Vertex Neighborhoods ↗Aritra Konar, Nicholas D. Sidiropoulos6 citations
- Recent Advances in Multimodal Educational Data Mining in K-12 Education ↗Zitao Liu, Songfan Yang, Jiliang Tang et al.6 citations
- Sub-Matrix Factorization for Real-Time Vote Prediction ↗Alexander Immer, Victor Kristof, Matthias Grossglauser et al.6 citations
- Tutorial on Human-Centered Explainability for Healthcare ↗Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey et al.6 citations
- What is that Building? ↗Chiqun Zhang, Dragomir Yankov, Chun-Ting Wu et al.6 citations
- A Sleeping, Recovering Bandit Algorithm for Optimizing Recurring Notifications ↗Kevin P. Yancey, Burr Settles5 citations
- Data Paucity and Low Resource Scenarios ↗Mona Diab5 citations
- Efficient Algorithm for the b-Matching Graph ↗Yasuhiro Fujiwara, Atsutoshi Kumagai, Sekitoshi Kanai et al.5 citations
- Learning from All Types of Experiences ↗Zhiting Hu, Eric P. Xing5 citations
- Multi-modal Network Representation Learning ↗Chuxu Zhang, Meng Jiang, Xiangliang Zhang et al.5 citations
- Preserving Integrity in Online Social Media ↗Alon Y. Halevy5 citations
- Recurrent Networks for Guided Multi-Attention Classification ↗Xin Dai, Xiangnan Kong, Tian Guo et al.5 citations
- Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes ↗Soorajnath Boominathan, Michael Oberst, Helen H. Zhou et al.5 citations
- Unsupervised Translation via Hierarchical Anchoring ↗Takahiro Yabe, Kota Tsubouchi, Toru Shimizu et al.5 citations
- A Causal Look at Statistical Definitions of Discrimination ↗Elias Chaibub Neto4 citations
- Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services ↗Shuai Zhao, Wen-Ling Hsu, George Ma et al.4 citations
- Geodesic Forests ↗Meghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley et al.4 citations
- HOPS: Probabilistic Subtree Mining for Small and Large Graphs ↗Pascal Welke, Florian Seiffarth, Michael Kamp et al.4 citations
- Interpreting and Explaining Deep Neural Networks ↗Jaesik Choi4 citations
- Kernel Assisted Learning for Personalized Dose Finding ↗Liangyu Zhu, Wenbin Lu, Michael R. Kosorok et al.4 citations
- Learning Based Distributed Tracking ↗Hao Wu, Junhao Gan, Rui Zhang4 citations
- Neural Structured Learning ↗Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes et al.4 citations
- Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks ↗Surgan Jandial, Ayush Chopra, Mausoom Sarkar et al.4 citations
- The Data Science Mentoring Fire Next Time ↗Latifa Jackson, Heriberto Acosta Maestre4 citations
- Tutorial on Online User Engagement ↗Liangjie Hong, Mounia Lalmas4 citations
- Voronoi Graph Traversal in High Dimensions with Applications to Topological Data Analysis and Piecewise Linear Interpolation ↗Vladislav Polianskii, Florian T. Pokorny4 citations
- Block Model Guided Unsupervised Feature Selection ↗Zilong Bai, Hoa Nguyen, Ian Davidson3 citations
- Computer Vision ↗Yuanbo Wang, Osama Sakhi, Ala-Eddine Ayadi et al.3 citations
- Heidegger: Interpretable Temporal Causal Discovery ↗Mehrdad Mansouri, Ali Arab, Zahra Zohrevand et al.3 citations
- Reconstruction and Decomposition of High-Dimensional Landscapes via Unsupervised Learning ↗Jing Lei, Nasrin Akhter, Wanli Qiao et al.3 citations
- The Illusion of Inclusion ↗Keolu Fox3 citations
- The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual Solver ↗Anton Zhernov, Krishnamurthy Dvijotham, Ivan Lobov et al.3 citations
- Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS ↗Bartley Richardson, Bradley Rees, Tom Drabas et al.2 citations
- Build the State-of-the-Art Machine Learning Technology for the Crypto Economy ↗Michael M. Li, Cătălin Tiseanu, Burkay Gur2 citations
- Building Forecasting Solutions Using Open-Source and Azure Machine Learning ↗Chenhui Hu, Vanja Paunić2 citations
- CoRE Lab - An Effort to Engage College Hispanic Students in STEM ↗Wilson E. Lozano-Rolon2 citations
- Data Science for the Real Estate Industry ↗Ron Bekkerman, Vanja Josifovski, Foster John Provost2 citations
- From Online to Non-i.i.d. Batch Learning ↗Yufei Tao, Shangqi Lu2 citations
- How to Calibrate your Neural Network Classifier ↗Natalia Culakova, Dan Murphy, João Gante et al.2 citations
- Learning by Exploration ↗Qingyun Wu, Huazheng Wang, Hongning Wang2 citations
- Models of Data Governance and Advancing Indigenous Genomic Data Sovereignty ↗Krystal S. Tsosie2 citations
- Put Deep Learning to Work ↗Wenming Ye, Ruiguo Hu, Miro Enev2 citations
- Representing Temporal Attributes for Schema Matching ↗Yinan Mei, Shaoxu Song, Yunsu Lee et al.2 citations
- AI for Intelligent Financial Services: Examples and Discussion ↗Manuela Veloso1 citation
- Acoustic Measures for Real-Time Voice Coaching ↗Ying Li, Abraham Miller, Arthur J. Liu et al.1 citation
- Balanced Order Batching with Task-Oriented Graph Clustering ↗Lu Duan, Haoyuan Hu, Zili Wu et al.1 citation
- Causal Meta-Mediation Analysis ↗Zenan Wang, Xuan Yin, Tianbo Li et al.1 citation
- Directional Multivariate Ranking ↗Nan Wang, Hongning Wang1 citation
- Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis ↗Meng Yu, Jiaxin Huang, Jiawei Han1 citation
- Fighting a Pandemic ↗Tina Eliassi‐Rad, Nitesh V. Chawla, Vittoria Colizza A et al.1 citation
- Keynote Speaker ↗Yolanda Gil1 citation
- Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization ↗Rishabh Mehrotra, Ashish Gupta1 citation
This page in Markdown → https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/papers/page/4/