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|Nov 16 || || || || || | |Nov 16 || || || || || | ||
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|Nov 16 || Sachin vernekar || || || || | |Nov 16 || Sachin vernekar || Natural-Parameter Networks: A Class of Probabilistic Neural Networks || || || | ||
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|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 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 |
Revision as of 13:04, 2 October 2017
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 | Improving Variational Inference with Inverse Autoregressive Flow | [1] | [2] |
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Oct 26 | 4 | ||||
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Nov 9 | ShuoShuo Liu | Learning the Number of Neurons in Deep Networks | |||
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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 Learnin | [Paper] | ||
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Nov 16 | Sachin vernekar | 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 | |
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Nov 21 | Ashish Gaurav | Deep Exploration via Bootstrapped DQN | Paper | ||
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