f17Stat946PaperSignUp: Difference between revisions

From statwiki
Jump to navigation Jump to search
No edit summary
Line 55: Line 55:
|Nov 7 ||  || || ||  ||
|Nov 7 ||  || || ||  ||
|-
|-
|Nov 7 ||  || || ||  ||
|Nov 7 ||  Rahul Iyer|| || ||  ||
|-
|-
|Nov 9 || ShuoShuo Liu || ||Learning the Number of Neurons in Deep Networks|| [http://papers.nips.cc/paper/6372-learning-the-number-of-neurons-in-deep-networks.pdf Paper] ||
|Nov 9 || ShuoShuo Liu || ||Learning the Number of Neurons in Deep Networks|| [http://papers.nips.cc/paper/6372-learning-the-number-of-neurons-in-deep-networks.pdf Paper] ||
Line 67: Line 67:
|Nov 14 || Nafseer Kadiyaravida || || Dialog-based Language Learning || [https://papers.nips.cc/paper/6264-dialog-based-language-learning.pdf Paper] || [[Dialog-based Language Learning | Summary]]
|Nov 14 || Nafseer Kadiyaravida || || Dialog-based Language Learning || [https://papers.nips.cc/paper/6264-dialog-based-language-learning.pdf Paper] || [[Dialog-based Language Learning | Summary]]
|-
|-
|Nov 14 || Rahul Iyer|| || ||  ||
|Nov 14 || || || ||  ||
|-
|-
|Nov 16 || Hamidreza Shahidi || ||  Teaching Machines to Describe Images via Natural Language Feedback ||  ||
|Nov 16 || Hamidreza Shahidi || ||  Teaching Machines to Describe Images via Natural Language Feedback ||  ||

Revision as of 15:26, 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 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 Dishant Mittal meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting Paper
Nov 7
Nov 7 Rahul Iyer
Nov 9 ShuoShuo Liu Learning the Number of Neurons in Deep Networks Paper
Nov 9 Aravind Balakrishnan FeUdal Networks for Hierarchical Reinforcement Learning [3]
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 [4]
Nov 21 Aman Jhunjhunwala Curiosity-driven Exploration by Self-supervised Prediction Paper Summary
Nov 21 Peiying Li Deep Learning without Poor Local Minima [5] Summary
Nov 21 Ashish Gaurav Deep Exploration via Bootstrapped DQN Paper Summary
Nov 23 Venkateshwaran Balasubramanian
Nov 23 Ershad Banijamali Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Paper
Nov 23 Dylan Spicker Unsupervised Domain Adaptation with Residual Transfer Networks Paper
Nov 28 Mike Rudd 1 Deep Transfer Learning with Joint Adaptation Networks Paper
Nov 28
Nov 28
Nov 30
Nov 30
Nov 30