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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).

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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]
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Oct 26 4
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Oct 31
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Oct 31
Nov 2
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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 Summary
Nov 14
Nov 16 Hamidreza Shahidi Teaching Machines to Describe Images via Natural Language Feedback
Nov 16 Sachin vernekar Natural-Parameter Networks: A Class of Probabilistic Neural Networks Paper Summary
Nov 16 Yunqing HE LightRNN: Memory and Computation-Efficient Recurrent Neural Networks [3]
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 Summary
Nov 23
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Nov 28
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