stat946F18

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	Dhruv Kumar	2	TBD
Oct 25	Shala Chen	3
Oct 25	Juan Carrillo	4
Oct 30	Manpreet Singh Minhas	1
Oct 30	Marvin Pafla	2
Oct 30	Glen Chalatov	3	TBD
Nov 1	Sriram Ganapathi Subramanian	1	Differentiable plasticity: training plastic neural networks with backpropagation	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 6	Ronald Feng
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	PixelNN: Example-Based Image Synthesis	Paper
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
Nov 29	Patrick Li	12	Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices	Paper
Nov 29	Ahmed Afify	1	Don't Decay the Learning Rate, Increase the Batch Size	Paper