Transfer Learning Materials

Keep Updating…. Thesis: Deep Learning Models for Unsupervised and Transfer Learning PhD Thesis, University of Toronto, May 2017 Transfer Learning Techniques for Deep Neural Nets , Steven Michael Gutstein, 2010 Feature-based Transfer Learning and Real-world applications, Sinno Jialin Pan Survey: http://www.jmlr.org/papers/volume10/taylor09a/taylor09a.pdf (with Reinforcement Learning 2009) https://www.cse.ust.hk/~qyang/Docs/2009/tkde_transfer_learning.pdf (2009) ijcai13.org/files/tutorial_slides/td2.pdf (applications) https://arxiv.org/pdf/1705.04396.pdf (2017) https://arxiv.org/pdf/1707.08114.pdf (2017) (Multi-task Learning)…Read more »

What’s next: seq2seq models

The short blog contains my notes from Seq2seq Tutorial. Please leave comments if you are interested in this topic. Seq2seq model is a typical model which takes sequences as inputs and another sequence as the outputs. What are sequences? Think about an article as a sequence of words or a video file as a sequence…Read more »