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projects [2018/01/19 17:26] hjprojects [2019/08/22 21:24] (current) hj
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-    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..
  
  
-  - **Anni Siren**: //Evaluating defect prediction using Deep Learning// +  - **Yuchen Kang**: //Evaluating Defect Prediction Using Deep Learning// 
 +  - **Wenxiao Fu**: // Destination Prediction with A Bayesian Learning Method Using 
 +Gaussian Kernel// 
 +  - **Farzaneh Heidari**: //Dynamic Network Representation Learning// 
 +  - **Zana Rashidi**:  //Curiosity-driven Exploration by Self-supervised Prediction// 
 +  - **Abbas Masoumzadeh**: //Automated Particle Picking for Single Particle Cryo-EM// 
 +  - **Amin Omidvar**: //Automatic machine learning method for identifying clickbaits in online news media// 
 +  - **Joseph  Sanu**: //Unsupervised Learning from Videos with Siamese-triplet Networks// 
 +  - **Zihuan Zhang**:  //Bi-Directional Attention Flow (BIDAF) network for machine comprehension// 
 +  - **Yuping Lin**: //Unsupervised Feature Learning from Video Using Auto-Encoder//
  
            
projects.1516382808.txt.gz · Last modified: 2018/01/19 17:26 by hj

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