Issue #93
March 7, 2021
- 1. SEER: The start of a more powerful, flexible, and accessible era for computer vision [ai.facebook.com]
- 2. Synthetic Data: Generating realistic user timestamps in SQL [narrator.ai]
- 3. Graph-Based Data Science [derwen.ai]
- 4. Can Auditing Eliminate Bias fromAlgorithms? [themarkup.org]
- 5. The Illustrated Transformer [jalammar.github.io]
- 6. Understanding Convolutional Neural Networks for NLP [wildml.com]
- 7. An overview of gradient descent optimization algorithms [ruder.io]
- 8. Understand Logistic Regression [towardsdatascience.com]
- • Understanding Deep Learning (Still) Requires Rethinking Generalization (C. Zhang, S. Bengio, M. Hardt, B. Recht, O. Vinyals)
- • Understanding vehicular routing behavior with location-based service data (Y. Xu, R. Di Clemente, M. C. González)
- • Link prediction in multiplex networks using a novel multiple-attribute decision-making approach (H. Luo, L. Li, Y. Zhang, S. Fang, X. Chen)
- • Estimating the spreading and dominance of SARS-CoV-2 VOC 202012/01 (lineage B.1.1.7) across Europe (N. Gozzi, M. Chinazzi, J. T. Davis, K. Mu, A. Pastore y Piontti, M. Ajelli, N. Perra, A. Vespignani)
- • On the Instability of Bitcoin Without the Block Reward (M. Carlsten, H. Kalodner, S. M. Weinberg, A. Narayanan)
- • Coupled Contagion: A Two-Fears Epidemic Model (J. M. Epstein, E. Hatna, J. Crodelle)
- • Dynamic Social Media Monitoring for Fast-Evolving Online Discussions (M. Srikanth, A. Liu, N. Adams-Cohen, J. Cao, R. M. Alvarez, A. Anandkumar)
Theoretical Foundations of Graph Neural Networks
All our videos are also available in our YouTube playlist.
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