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projects
  • Project one
  • Project Two: Your project 2 report will be submitted as a CS conference paper. You may use any latex temple from CVPR, ACL, ICML, etc. It is expected to be 6-8 pages (double-columned). I will mark your report as a conference reviewer based on format, writing style, work quality, extra additions to the existing methods, etc..
  1. Yuchen Kang: Evaluating Defect Prediction Using Deep Learning
  2. Wenxiao Fu: Destination Prediction with A Bayesian Learning Method Using Gaussian Kernel
  3. Farzaneh Heidari: Dynamic Network Representation Learning
  4. Zana Rashidi: Curiosity-driven Exploration by Self-supervised Prediction
  5. Abbas Masoumzadeh: Automated Particle Picking for Single Particle Cryo-EM
  6. Amin Omidvar: Automatic machine learning method for identifying clickbaits in online news media
  7. Joseph Sanu: Unsupervised Learning from Videos with Siamese-triplet Networks
  8. Zihuan Zhang: Bi-Directional Attention Flow (BIDAF) network for machine comprehension
  9. Yuping Lin: Unsupervised Feature Learning from Video Using Auto-Encoder
projects.txt · Last modified: 2019/08/22 21:24 by hj