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You are here: EECS 6327 Probabilistic Models & Machine Learning (Winter 2018) » projects
Trace: • Advanced Topics for self-study and Presentation
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projects [2018/04/09 15:32] – hjprojects [2019/08/22 21:24] (current) – hj
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-   *  [[http://www.cse.yorku.ca/course/6327/project.htm|Project one]]   +   *  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..    *   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..
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   - **Joseph  Sanu**: //Unsupervised Learning from Videos with Siamese-triplet Networks//   - **Joseph  Sanu**: //Unsupervised Learning from Videos with Siamese-triplet Networks//
   - **Zihuan Zhang**:  //Bi-Directional Attention Flow (BIDAF) network for machine comprehension//   - **Zihuan Zhang**:  //Bi-Directional Attention Flow (BIDAF) network for machine comprehension//
 +  - **Yuping Lin**: //Unsupervised Feature Learning from Video Using Auto-Encoder//
  
            
projects.1523287971.txt.gz · Last modified: by hj