Author: Pascal Zoleko Sometimes, when we (Flexudy Education) are not busy creating services to improve the quality of education and research we write blogs about ideas that cross our minds. Today we will talk about CATs. Not about the cute ones, but about Competitive Analysis Trees. To illustrate how CATs…

Authors: Zhigang Lu and Hong Shen, in arXiv:2001.01825v1, January 2020 The summary below was automatically created by Flexudy. Feel free to download the app from your Google Play Store or Apple App Store. Have fun reading Differentially private trajectory publishing concerns publishing path information that is usable to the genuine…

Author: Björn Bebensee, in arXiv:1907.11908v1, July 2019 The summary below was automatically created by Flexudy. Feel free to download the app from your Google Play Store or Apple App Store. Have fun reading Local Differential Privacy (LDP) is a state-of-the-art approach which allows statistical computations while protecting each individual user’s…

Authors: Ninghui Li, Wahbeh Qardaji, Dong Su, in arXiv:1101.2604v2, June 2011 The summary below was automatically created by Flexudy. Feel free to download the app from your Google Play Store or Apple App Store. Have fun reading The main result of the paper is that k-anonymization, when done “safely”, and…

Authors: Rajarshi Das1 RAJARSHI, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum The summary below was automatically created by Flexudy. Feel free to download the app from your play store. Have fun reading. Our non-parametric approach derives crisp logical rules for each query by finding multiple graph path patterns that…

Authors: Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, in arXiv:1810.04805v2, May 2019 The summary below was automatically created by Flexudy. Feel free to download the app from your play store. Have fun reading We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from…

Authors: Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li, arXiv:1812.01187v2, December 2018 The summary below was automatically created by Flexudy. Feel free to download the app from your play store. Have fun reading In the literature, however, most refinements are either briefly mentioned as implementation details…

Authors: Nikita Kitaev, Łukasz Kaiser, Anselm Levskaya, in arXiv2001.04451v2, February 2020 The summary below was automatically created by Flexudy. Feel free to download the app from your play store. Have fun reading The resulting model, the Reformer, performs on par with Transformer models while being much more memory-efficient and much…

Authors: Stephen Merity, in arXiv:1911.11423v2, November 2019 The summary below was automatically created by Flexudy. Feel free to download the app from your play store. Have fun reading The leading approaches in language modeling are all obsessed with TV shows of my youth — namely Transformers and Sesame Street. The…