| 2020 | On Sampling Top-K Recommendation Evaluation. | Dong Li, Ruoming Jin, Jing Gao, Zhi Liu |
| 2020 | Faster Secure Data Mining via Distributed Homomorphic Encryption. | Junyi Li, Heng Huang |
| 2020 | Explaining Potentially Unfair Clauses to the Consumer with the CLAUDETTE tool. | Ruta Liepina, Federico Ruggeri, Francesca Lagioia, Marco Lippi, Kasper Drazewski, Paolo Torroni |
| 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 | Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. | Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang |
| 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 | Geography-Aware Sequential Location Recommendation. | Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen |
| 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 | Adversarial Infidelity Learning for Model Interpretation. | Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang |
| 2020 | GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction. | Thai Le, Suhang Wang, Dongwon Lee |
| 2020 | Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvrinen |
| 2020 | Multi-objective Optimization for Guaranteed Delivery in Video Service Platform. | Hang Lei, Yin Zhao, Longjun Cai |
| 2020 | Interactive Path Reasoning on Graph for Conversational Recommendation. | Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua |
| 2020 | Reconstruction and Decomposition of High-Dimensional Landscapes via Unsupervised Learning. | Jing Lei, Nasrin Akhter, Wanli Qiao, Amarda Shehu |
| 2020 | Multi-Class Data Description for Out-of-distribution Detection. | Dongha Lee, Sehun Yu, Hwanjo Yu |
| 2020 | Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals. | Zed Lee, Tony Lindgren, Panagiotis Papapetrou |
| 2020 | SSumM: Sparse Summarization of Massive Graphs. | Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin |
| 2020 | Explainable Classification of Brain Networks via Contrast Subgraphs. | Tommaso Lanciano, Francesco Bonchi, Aristides Gionis |
| 2020 | The Gap between Deep Learning and Law: Predicting Employment Notice. | Jason T. Lam, David Liang, Samuel Dahan, Farhana H. Zulkernine |
| 2020 | Policy-GNN: Aggregation Optimization for Graph Neural Networks. | Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu |
| 2020 | Towards a What-If System for Point-Of-Interest Categorisation. | Nikolaos Lagos, Jos Miguel Prez-lvarez, Michel Langlais, Adrian Mos |
| 2020 | No Computation without Representation: Avoiding Data and Algorithm Biases through Diversity. | Caitlin Kuhlman, Latifa Jackson, Rumi Chunara |
| 2020 | Attention Realignment and Pseudo-Labelling for Interpretable Cross-Lingual Classification of Crisis Tweets. | Jitin Krishnan, Hemant Purohit, Huzefa Rangwala |
| 2020 | On Sampled Metrics for Item Recommendation. | Walid Krichene, Steffen Rendle |
| 2020 | Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs. | Weize Kong, Michael Bendersky, Marc Najork, Brandon Vargo, Mike Colagrosso |