Announcing the KDD 2020 Best Paper Awards
(Published: Mon, August 24, 2020)
The technical program committees for the Research Track and the Applied Data Science Track identified and nominated a very super-selective group of papers for the Best Paper Awards that were independently reviewed for the BP award by two separate committees led by Professor Michael Pazzani, UC San Diego (Research Track) and Professor Anima Anandkumar, California Institute of Technology (Applied Data Science Track).
Best Paper Award
On Sampled Metrics for Item Recommendation
Walid Krichene: Google; Steffen Rendle: Google
(Presentation time: Thursday August 27 1:30-3:30PM, Poster Time: Thursday August 27 6:00-7:00PM)
Best Paper Runner-up
Malicious Attacks against Deep Reinforcement Learning Interpretations
Mengdi Huai: University of Virginia; Jianhui Sun: University of Virginia; Renqin Cai: University of Virginia; Liuyi Yao: University of New York at Buffalo; Aidong Zhang: University of Virginia
(Presentation time: Tuesday August 25 4:00-6:00PM, Poster Time: Tuesday August 25 7:00-8:00PM)
Best Student Paper Award
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations
Ang Li: Duke University; Yixiao Duan: Beihang University; Huanrui Yang: Duke University; Yiran Chen: Duke University; Jianlei Yang: Beihang University
(Presentation time: Tuesday August 25 1:30-3:30PM, Poster Time: Tuesday August 25 6:00-7:00PM)
Applied Data Science Track
Best Paper Award
Temporal-Contextual Recommendation in Real-Time
Yifei Ma; Murali Balakrishnan Narayanaswamy, Haibin Lin and Hao Ding from Amazon.
(Presentation time: Tuesday August 25, 10:00am-12:00pm)
Congratulations to the authors!
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