# f17Stat946PaperSignUp

From statwiki

# List of Papers

# Record your contributions here:

Use the following notations:

P: You have written a summary/critique on the paper.

T: You had a technical contribution on a paper (excluding the paper that you present).

E: You had an editorial contribution on a paper (excluding the paper that you present).

Your feedback on presentations

# Paper presentation

Date | Name | Paper number | Title | Link to the paper | Link to the summary |

Oct 12 (example) | Ri Wang | Sequence to sequence learning with neural networks. | Paper | Summary | |

Oct 24 | Sakif Khan | 1 | Improved Variational Inference with Inverse Autoregressive Flow | [1] | [2] |

Oct 24 | 2 | ||||

Oct 24 | 3 | ||||

Oct 26 | 4 | ||||

Oct 26 | 5 | ||||

Oct 26 | 6 | ||||

Oct 31 | |||||

Oct 31 | |||||

Oct 31 | |||||

Nov 2 | |||||

Nov 2 | |||||

Nov 2 | |||||

Nov 7 | |||||

Nov 7 | |||||

Nov 7 | |||||

Nov 9 | ShuoShuo Liu | Learning the Number of Neurons in Deep Networks | |||

Nov 9 | |||||

Nov 9 | Varshanth R Rao | Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study | Paper | ||

Nov 14 | Avinash prasad | coupled gan | |||

Nov 14 | Nafseer Kadiyaravida | Dialog-based Language Learning | Paper | ||

Nov 14 | |||||

Nov 16 | |||||

Nov 16 | Sachin vernekar | Natural-Parameter Networks: A Class of Probabilistic Neural Networks | https://papers.nips.cc/paper/6279-natural-parameter-networks-a-class-of-probabilistic-neural-networks | ||

Nov 16 | Yunqing HE | LightRNN: Memory and Computation-Efficient Recurrent Neural Networks | https://papers.nips.cc/paper/6512-lightrnn-memory-and-computation-efficient-recurrent-neural-networks | ||

Nov 21 | Aman Jhunjhunwala | Curiosity-driven Exploration by Self-supervised Prediction | Paper | Summary | |

Nov 21 | |||||

Nov 21 | Ashish Gaurav | Deep Exploration via Bootstrapped DQN | Paper | ||

Nov 23 | |||||

Nov 23 | Hamidreza Shahidi | ||||

Nov 23 | |||||

Nov 28 | |||||

Nov 28 | |||||

Nov 28 | |||||

Nov 30 | |||||

Nov 30 | |||||

Nov 30 |