ScAI Machine Learning Seminar (2017-2018, Archive)

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Archive of ScAI machine learning seminar in 2017-18 academic year.

[Current Seminar]

Spring 2018

  • Topics: Autoencoders, Advanced Graph Convolutional Networks, GAN for Natural Language Processing, Unsupervised Rare Pattern Mining, Influence Maximization on Social Graphs
  • Schdule
Date Title Speaker Video Paper
4.13 Unsupervised Learning: Autoencoders Yunsheng Bai Video 1 Video 2 N/A
4.27 Progress of Graph Convolutional Networks Cheng Zheng N/A ICLR’18 AAAI’18
5.4 GAN for Natural Language Processing Ruirui Li Video AAAI’17
5.11 Unsupervised Rare Pattern Mining Jiaqi Zhu Video TKDE’16 TKDD’16 SIGKDD’17
5.25 Influence Maximization on Social Graphs Yuting Wen Video WSDM’17 CIKM’16

Winter 2018

  • Topics: Fairness in Machine Learning, Matrix Completion with Graph Neural Networks, Theory and Applications of Wasserstein Distance, Deep Reinforcement Learning, Capsule Networks.
  • Schedule
Date Title Speaker Paper
2.2 Fairness in Machine Learning Jieyu Zhao NIPS’16/NIPS’17
PDF1 PDF2 PDF3
2.23 Matrix Completion with Graph Neural Networks Qin Zhang NIPS’16/STAT’17
PDF1 PDF2
3.2 Theory and Applications of Wasserstein Distance Yunsheng Bai CVPR’04 ICML’15
PDF1 PDF2 PDF3
3.9 Deep Reinforcement Learning Changjun Fan Nature’16 NIPS’17
PDF1 PDF2
3.16 Capsule Networks Zeyu Li NIPS’17 PDF

Fall 2017

  • Topics: Network Embedding, Graph Convolutional Networks (GCN), Multi-task Machine Learning, Generative Adversarial Networks (GAN), etc.
  • Schedule
Date Title Speaker Paper
10.13 Network Embedding: Overview of Popular Methods Cheng Zheng See Slides
10.20 Graph Convolutional Networks (GCN) Yunsheng Bai ICLR’17 PDF
11.3 Multimodel: Multi-task Machine Learning Across Domains Wasi Ahmad PDF
11.17 Generative Adversarial Networks (GAN) Junheng Hao See Slides
12.1 Cross-Domain Data Fusion Guangyu Zhou IEEE’15 PDF
12.8 Empirical Study and Evaluation Measures of GAN Yichao(Joey) Zhou PDF