About

I am a graduate student at Montreal Institute for Learning Algorithms (MILA), under the supervision of Aaron Courville, and co-supervised by Laurent Charlin. My research is mostly about Deep Latent Variable models and efficient approximate inference. I am also working on meta learning and a bit of natural language processing.

Here’s my one-page CV and google scholar page.

Contact Me

Publications

Conferences

• Neural Language Modeling by Jointly Learning Syntax and Lexicon [arXiv] [openreview] [bib]
  • Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron Courville
  • to be presented at ICLR 2018

Pre-prints

• Generating Contradictory, Neutral, and Entailing Sentences [arXiv]
  • Yikang Shen, Shawn Tan, Chin-Wei Huang, Aaron Courville

• Bayesian Hypernetworks [arXiv] [openreview] [DLRL video] [bib]
  • David Krueger*, Chin-Wei Huang*, Riashat Islam, Ryan Turner, Alexandre Lacoste, Aaron Courville
  • presented in the Deep Learning and Reinforcement Learning Summer School (17′)
  • presented in the Montreal AI Symposium (17′)
  • presented in the NIPS (’17) workshop on Bayesian Deep Learning (BDL)

Workshops

• Facilitating Multimodality in Normalizing Flows [BDL]
  • Chin-Wei Huang*, David Krueger*, Aaron Courville
  • presented in the NIPS (’17) workshop on Bayesian Deep Learning (BDL)
• Sequentialized Sampling Importance Resampling and Scalable IWAE [BDL] [bib]
  • Chin-Wei Huang, Aaron Courville
  • presented in the NIPS (’17) workshop on Bayesian Deep Learning (BDL)
• Learnable Explicit Density for Continuous Latent Space and Variational Inference [arXiv] [padl] [poster] [bib]
  • Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron Courville
  • presented in the ICML (’17)  workshop on Principle Approaches to Deep Learning (padl)

Symposiums

• Deconstructive Defense Against Adversarial Attacks [poster]
  • Chin-Wei Huang*, Nan Rosemary Ke*, Chris Pal
  • presented in the Montreal AI Symposium (17′)
• Data Imputation with Latent Variable Models
  • Michal Drozdzal, Mohammad Havaei, Chin-Wei Huang, Laurent Charlin, Nicolas Chapados, Aaron Courville
  • presented in the Montreal AI Symposium (17′)

Technical reports

• Multilabel Topic Model and User-Item Representation for Personalized Display of Review [report]
  • Chin-Wei Huang, Pierre-André Brousseau
  • A final project report for IFT6266 (Probabilistic Graphical Models, 2016A)