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== [[F18-STAT946-Proposal| Project Proposal ]] == | |||
=Paper presentation= | =Paper presentation= | ||
{| class="wikitable" | {| class="wikitable" |
Revision as of 12:05, 4 October 2018
Project Proposal
Paper presentation
Date | Name | Paper number | Title | Link to the paper | Link to the summary |
Feb 15 (example) | Ri Wang | Sequence to sequence learning with neural networks. | Paper | Summary | |
Oct 25 | 1 | ||||
Oct 25 | 2 | ||||
Oct 25 | 3 | ||||
Oct 30 | Manpreet Singh Minhas | 1 | |||
Oct 30 | Marvin Pafla | 2 | |||
Nov 1 | Sriram Ganapathi Subramanian | 1 | Mean Field Multi-Agent Reinforcement Learning | Paper | |
Nov 1 | Hadi Nekoei | 1 | |||
Nov 1 | Henry Chen | 1 | DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks | Paper | |
Nov 6 | Nargess Heydari | 2 | |||
Nov 6 | Aravind Ravi | 3 | |||
Nov 8 | Neel Bhatt | 1 | [TBD] | ||
Nov 8 | Jacob Manuel | 2 | |||
Nov 8 | Charupriya Sharma | 2 | |||
NOv 13 | Sagar Rajendran | 1 | Zero-Shot Visual Imitation | Paper | |
Nov 13 | Jiazhen Chen | 2 | |||
Nov 13 | Neil Budnarain | 2 | |||
NOv 15 | Zheng Ma | 3 | Reinforcement Learning of Theorem Proving | Paper | |
Nov 15 | Abdul Khader Naik | 4 | |||
Nov 15 | Johra Muhammad Moosa | 2 | |||
NOv 20 | Zahra Rezapour Siahgourabi | 19 | |||
Nov 20 | Shubham Koundinya | 6 | |||
Nov 20 | Salman Khan | Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples | paper | ||
NOv 22 | Soroush Ameli | 22 | |||
Nov 22 | Ivan Li | 23 | Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate | Paper | |
Nov 22 | Sigeng Chen | 2 | |||
Nov 27 | Aileen Li | 8 | Spatially Transformed Adversarial Examples | Paper | |
NOv 27 | Xudong Peng | 9 | |||
Nov 27 | Xinyue Zhang | 10 | An Inference-Based Policy Gradient Method for Learning Options | Paper | |
NOv 29 | Junyi Zhang | 11 | |||
Nov 29 | Travis Bender | 12 | Automatic Goal Generation for Reinforcement Learning Agents | Paper |