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KDD 2020: all accepted papers

420 papers · page 4 of 5 · the most cited first · ← KDD 2020

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  1. A Block Decomposition Algorithm for Sparse Optimization ↗Ganzhao Yuan, Li Shen, Wei‐Shi Zheng10 citations
  2. Catalysis Clustering with GAN by Incorporating Domain Knowledge ↗Olga A. Andreeva, Wei Li, Wei Ding et al.10 citations
  3. Combinatorial Black-Box Optimization with Expert Advice ↗Hamid Dadkhahi, Karthikeyan Shanmugam, Jesús Ríos et al.10 citations
  4. Discovering Functional Dependencies from Mixed-Type Data ↗Panagiotis Mandros, David Kaltenpoth, Mario Boley et al.10 citations
  5. Estimating the Percolation Centrality of Large Networks through Pseudo-dimension Theory ↗Alane M. de Lima, Murilo V. G. da Silva, André Luís Vignatti10 citations
  6. Matrix Profile XXI: A Geometric Approach to Time Series Chains Improves Robustness ↗Makoto Imamura, Takaaki Nakamura, Eamonn Keogh10 citations
  7. Price Investment using Prescriptive Analytics and Optimization in Retail ↗Prakhar Mehrotra, Linsey Xiaolin Pang, Karthick Gopalswamy et al.10 citations
  8. Targeted Data-driven Regularization for Out-of-Distribution Generalization ↗Mohammad Mahdi Kamani, Sadegh Farhang, Mehrdad Mahdavi et al.10 citations
  9. From Zero to AI Hero with Automated Machine Learning ↗Umamahesan Aniththa, Deepak Mukunthu Iyappan Babu9 citations
  10. Lessons from Archives ↗Timnit Gebru9 citations
  11. List-wise Fairness Criterion for Point Processes ↗Jin Shang, Mingxuan Sun, Nina Lam9 citations
  12. Mining Implicit Relevance Feedback from User Behavior for Web Question Answering ↗Linjun Shou, Shining Bo, Feixiang Cheng et al.9 citations
  13. SCE: Scalable Network Embedding from Sparsest Cut ↗Shengzhong Zhang, Zengfeng Huang, Haicang Zhou et al.9 citations
  14. In Search for a Cure ↗Iris Z. Shen, Le Zhang, Jianxun Lian et al.8 citations
  15. Learning Stable Graphs from Multiple Environments with Selection Bias ↗Yue Hui He, Peng Cui, Jianxin Ma et al.8 citations
  16. Learning with Small Data ↗Huaxiu Yao, Xiaowei Jia, Vipin Kumar et al.8 citations
  17. MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining ↗Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin et al.8 citations
  18. 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
  19. Non-Linear Mining of Social Activities in Tensor Streams ↗Koki Kawabata, Yasuko Matsubara, Takato Honda et al.8 citations
  20. Spectrum-Guided Adversarial Disparity Learning ↗Zhe Liu, Lina Yao, Lei Bai et al.8 citations
  21. Meta-Learning for Query Conceptualization at Web Scale ↗Fred X. Han, Di Niu, Haolan Chen et al.7 citations
  22. Physics Inspired Models in Artificial Intelligence ↗Muhammad Aurangzeb Ahmad, Şener Özönder7 citations
  23. Prediction of Hourly Earnings and Completion Time on a Crowdsourcing Platform ↗Anna Lioznova, Alexey Valerievich Drutsa, Vladimir Kukushkin et al.7 citations
  24. Scalable Graph Neural Networks with Deep Graph Library ↗Da Zheng, Minjie Wang, Quan Gan et al.7 citations
  25. Scientific Text Mining and Knowledge Graphs ↗Meng Jiang, Jingbo Shang7 citations
  26. Statistically Significant Pattern Mining with Ordinal Utility ↗Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto et al.7 citations
  27. Building Recommender Systems with PyTorch ↗Dheevatsa Mudigere, Maxim Naumov, Joe Spisak et al.6 citations
  28. Recent Advances in Multimodal Educational Data Mining in K-12 Education ↗Zitao Liu, Songfan Yang, Jiliang Tang et al.6 citations
  29. Sub-Matrix Factorization for Real-Time Vote Prediction ↗Alexander Immer, Victor Kristof, Matthias Grossglauser et al.6 citations
  30. Tutorial on Human-Centered Explainability for Healthcare ↗Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey et al.6 citations
  31. What is that Building? ↗Chiqun Zhang, Dragomir Yankov, Chun-Ting Wu et al.6 citations
  32. Efficient Algorithm for the b-Matching Graph ↗Yasuhiro Fujiwara, Atsutoshi Kumagai, Sekitoshi Kanai et al.5 citations
  33. Learning from All Types of Experiences ↗Zhiting Hu, Eric P. Xing5 citations
  34. Multi-modal Network Representation Learning ↗Chuxu Zhang, Meng Jiang, Xiangliang Zhang et al.5 citations
  35. Recurrent Networks for Guided Multi-Attention Classification ↗Xin Dai, Xiangnan Kong, Tian Guo et al.5 citations
  36. Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes ↗Soorajnath Boominathan, Michael Oberst, Helen H. Zhou et al.5 citations
  37. Unsupervised Translation via Hierarchical Anchoring ↗Takahiro Yabe, Kota Tsubouchi, Toru Shimizu et al.5 citations
  38. Geodesic Forests ↗Meghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley et al.4 citations
  39. HOPS: Probabilistic Subtree Mining for Small and Large Graphs ↗Pascal Welke, Florian Seiffarth, Michael Kamp et al.4 citations
  40. Kernel Assisted Learning for Personalized Dose Finding ↗Liangyu Zhu, Wenbin Lu, Michael R. Kosorok et al.4 citations
  41. Learning Based Distributed Tracking ↗Hao Wu, Junhao Gan, Rui Zhang4 citations
  42. Neural Structured Learning ↗Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes et al.4 citations
  43. Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks ↗Surgan Jandial, Ayush Chopra, Mausoom Sarkar et al.4 citations
  44. The Data Science Mentoring Fire Next Time ↗Latifa Jackson, Heriberto Acosta Maestre4 citations
  45. Tutorial on Online User Engagement ↗Liangjie Hong, Mounia Lalmas4 citations
  46. Block Model Guided Unsupervised Feature Selection ↗Zilong Bai, Hoa Nguyen, Ian Davidson3 citations
  47. Computer Vision ↗Yuanbo Wang, Osama Sakhi, Ala-Eddine Ayadi et al.3 citations
  48. Heidegger: Interpretable Temporal Causal Discovery ↗Mehrdad Mansouri, Ali Arab, Zahra Zohrevand et al.3 citations
  49. The Illusion of Inclusion ↗Keolu Fox3 citations
  50. The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual Solver ↗Anton Zhernov, Krishnamurthy Dvijotham, Ivan Lobov et al.3 citations
  51. Build the State-of-the-Art Machine Learning Technology for the Crypto Economy ↗Michael M. Li, Cătălin Tiseanu, Burkay Gur2 citations
  52. Data Science for the Real Estate Industry ↗Ron Bekkerman, Vanja Josifovski, Foster John Provost2 citations
  53. From Online to Non-i.i.d. Batch Learning ↗Yufei Tao, Shangqi Lu2 citations
  54. How to Calibrate your Neural Network Classifier ↗Natalia Culakova, Dan Murphy, João Gante et al.2 citations
  55. Learning by Exploration ↗Qingyun Wu, Huazheng Wang, Hongning Wang2 citations
  56. Put Deep Learning to Work ↗Wenming Ye, Ruiguo Hu, Miro Enev2 citations
  57. Representing Temporal Attributes for Schema Matching ↗Yinan Mei, Shaoxu Song, Yunsu Lee et al.2 citations
  58. Acoustic Measures for Real-Time Voice Coaching ↗Ying Li, Abraham Miller, Arthur J. Liu et al.1 citation
  59. Balanced Order Batching with Task-Oriented Graph Clustering ↗Lu Duan, Haoyuan Hu, Zili Wu et al.1 citation
  60. Causal Meta-Mediation Analysis ↗Zenan Wang, Xuan Yin, Tianbo Li et al.1 citation
  61. Directional Multivariate Ranking ↗Nan Wang, Hongning Wang1 citation
  62. Fighting a Pandemic ↗Tina Eliassi‐Rad, Nitesh V. Chawla, Vittoria Colizza A et al.1 citation
  63. Keynote Speaker ↗Yolanda Gil1 citation

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