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).
|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||Improving Variational Inference with Inverse Autoregressive Flow|||||
|Nov 9||ShuoShuo Liu||Learning the Number of Neurons in Deep Networks|
|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 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||Ashish Gaurav||Deep Exploration via Bootstrapped DQN||Paper|