Issue #134
July 4, 2021
- 1. How to Train your Decision-Making AIs [thegradient.pub]
- 2. What Does It Mean for AI to Understand? [quantamagazine.org]
- 3. To Understand Language is to Understand Generalization [evjang.com]
- 4. A Beginner’s Guide to End to End Machine Learning [towardsdatascience.com]
- 5. Learning Rates for Deep Learning Models [towardsdatascience.com]
- 6. Two Sigma: Deep Learning for Sequences in Quant Finance [medium.com/@tzjy]
- 7. OpenAI Glow and the Art of Learning from Small Datasets [pub.towardsai.net]
- • Emergence of urban growth patterns from human mobility behavior (F. Xu, Y. Li, D. Jin, J. Lu, C. Song)
- • Preventing extreme polarization of political attitudes (R. Axelrod, J. J. Daymude, S. Forrest)
- • The Many Faces of Information Geometry (F. Nielsen)
- • GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training (C. Zhu, R. Ni, Z. Xu, K. Kong, W. R. Huang, T. Goldstein)
- • Organizing Visions in the Digital World: The Case of the Blockchain Discourse on Twitter (M. Amadoru, E. Fielt, M. Kowalkiewicz)
- • Some recent advances in urban system science: models and data (E. Arcaute, J. J. Ramasco)
- • Herd Immunity and Epidemic Size in Networks with Vaccination Homophily (T. Hiraoka, A. K. Rizi, M. Kivelä, J. Saramäki)
- • Learning Graph Search Heuristics (M. Pándy, R. Ying, G. Corso, P. Velickovi, J. Leskovec, P. Liò)
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