stat946w18

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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
Feb 15 (example)	Ri Wang		Sequence to sequence learning with neural networks.	Paper	Summary
Feb 27	Peter Forsyth	1	Unsupervised Machine Translation Using Monolingual Corpora Only	Paper
Feb 27		2
Feb 27		3
Mar 1		4
Mar 1		5
Mar 1		6
Mar 6		3
Mar 6		3
Mar 6		3
Mar 8	Alex (Xian) Wang	4	Self-Normalizing Neural Networks	Paper
Mar 8		4
Mar 8		4
Mar 13	Chunshang Li	5	UNDERSTANDING IMAGE MOTION WITH GROUP REPRESENTATIONS
Mar 13		5
Mar 13		5
Mar 15		6
Mar 15		6
Mar 15		6
Mar 20		7
Mar 20	Sushrut Bhalla	20	MaskRNN: Instance Level Video Object Segmentation	Paper	[Summary]
Mar 20	Hamid Tahir	21	Wavelet Pooling for Convolution Neural Networks	Paper	Summary
Mar 22	Dongyang Yang	8	DON’T DECAY THE LEARNING RATE, INCREASE THE BATCH SIZE	Paper
Mar 22	Yao Li	8	Toward Multimodal Image-to-Image Translation	Paper
Mar 22	Sahil Pereira	24	End-to-End Differentiable Adversarial Imitation Learning	Paper	Summary
Mar 27	Jaspreet Singh Sambee	25	Gated Recurrent Convolution Neural Network for OCR	Paper
Mar 27	Braden Hurl	26	Spherical CNNs	Paper
Mar 27		9
Mar 29	Alex Pon	28	Wasserstein GAN	Paper
Mar 29	Sean Walsh	29	Improved Training of Wasserstein GANs	Paper
Mar 29	Jason Ku	30	MarrNet: 3D Shape Reconstruction via 2.5D Sketches	Paper
Apr 3	Tong Yang	31	Dynamic Routing Between Capsules.	Paper
Apr 3		11
Apr 3		11