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ORCIDNetAI@SIGCOMM 2020: Virtual Event, USA
- Behnaz Arzani, Xin Jin:
Proceedings of the 2020 Workshop on Network Meets AI & ML, NetAI@SIGCOMM, Virtual Event, USA, August 14, 2020. ACM 2020, ISBN 978-1-4503-8043-0 - Junjie Zhang
, Zehua Guo, Minghao Ye, H. Jonathan Chao:
SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering. 1-7 - Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin:
Is Network the Bottleneck of Distributed Training? 8-13 - Guorui Xie, Qing Li, Yong Jiang, Tao Dai, Gengbiao Shen, Rui Li, Richard O. Sinnott, Shutao Xia:
SAM: Self-Attention based Deep Learning Method for Online Traffic Classification. 14-20 - Yukhe Lavinia, Ramakrishnan Durairajan, Reza Rejaie, Walter Willinger:
Challenges in Using ML for Networking Research: How to Label If You Must. 21-27 - Shihan Xiao, Haiyan Mao, Bo Wu, Wenjie Liu, Fenglin Li:
Neural Packet Routing. 28-34 - Tal Shapira, Yuval Shavitt:
A Deep Learning Approach for IP Hijack Detection Based on ASN Embedding. 35-41 - Panchapakesan C. Sruthi, Sanjay G. Rao, Bruno Ribeiro:
Pitfalls of data-driven networking: A case study of latent causal confounders in video streaming. 42-47 - Mahmoud Bahnasy, Fenglin Li, Shihan Xiao, Xiangle Cheng:
DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis. 48-55 - Molly Zhang, Luca de Alfaro, J. J. Garcia-Luna-Aceves:
An Adaptive Tree Algorithm to Approach Collision-Free Transmission in Slotted ALOHA. 56-61
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