| 2021 | Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation. | Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Miao Xu, Xue Li |
| 2021 | Machamp: A Generalized Entity Matching Benchmark. | Jin Wang, Yuliang Li, Wataru Hirota |
| 2021 | SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion. | Muntasir Wahed, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad DeLuca, Steve Welch, Ismini Lourentzou |
| 2021 | Powering COVID-19 Community Q&A with Curated Side Information. | Manisha Verma, Kapil Thadani, Shaunak Mishra |
| 2021 | Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. | Ali Vardasbi, Maarten de Rijke, Ilya Markov |
| 2021 | Human-Centric Analytics and Systems Impacting Quality of Life: ECG Analytics and Beyond. | Arijit Ukil, Leandro Marn, Antonio J. Jara, John R. Farserotu |
| 2021 | L1 and L2 Regularized Deep Residual Network Model for Automated Detection of Myocardial Infarction (Heart Attack) Using Electrocardiogram Signals. | Arijit Ukil, Leandro Marn, Antonio J. Jara |
| 2021 | Attention Based Dynamic Graph Learning Framework for Asset Pricing. | Ajim Uddin, Xinyuan Tao, Dantong Yu |
| 2021 | Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. | Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu |
| 2021 | Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus. | Yun-Da Tsai, Cheng-Kuan Chen, Shou-De Lin |
| 2021 | WikiCheck: An End-to-end Open Source Automatic Fact-Checking API based on Wikipedia. | Mykola Trokhymovych, Diego Sez-Trumper |
| 2021 | Question Rewriting for Open-Domain Conversational QA: Best Practices and Limitations. | Marco Del Tredici, Gianni Barlacchi, Xiaoyu Shen, Weiwei Cheng, Adri de Gispert |
| 2021 | ULTRA: An Unbiased Learning To Rank Algorithm Toolbox. | Anh Tran, Tao Yang, Qingyao Ai |
| 2021 | AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening. | Ermal Toto, M. L. Tlachac, Elke A. Rundensteiner |
| 2021 | Query Embedding Pruning for Dense Retrieval. | Nicola Tonellotto, Craig Macdonald |
| 2021 | Recipe Representation Learning with Networks. | Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla |
| 2021 | Self-supervised Representation Learning on Dynamic Graphs. | Sheng Tian, Ruofan Wu, Leilei Shi, Liang Zhu, Tao Xiong |
| 2021 | On Influencing the Influential: Disparity Seeding. | Ya-Wen Teng, Hsi-Wen Chen, De-Nian Yang, Yvonne-Anne Pignolet, Ting-Wei Li, Lydia Yiyu Chen |
| 2021 | GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale. | Nicolas Tempelmeier, Simon Gottschalk, Elena Demidova |
| 2021 | Minimising Quantifier Variance under Prior Probability Shift. | Dirk Tasche |
| 2021 | Single Node Injection Attack against Graph Neural Networks. | Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng |
| 2021 | Counterfactual Explainable Recommendation. | Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang |
| 2021 | Talking Face Generation Based on Information Bottleneck and Complementary Representations. | Jie Tang, Yiling Wu, Minglei Li, Zhu Wang |
| 2021 | Domain-Specific Modeling of User Knowledge in Informational Search Sessions. | Rui Tang, Ran Yu, Markus Rokicki, Ralph Ewerth, Stefan Dietze |
| 2021 | On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis. | Catherine Taelman, Saloua Chlaily, Eduard Khachatrian, Fons van der Sommen, Andrea Marinoni |