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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		1
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		4
Mar 8		4
Mar 8		4
Mar 13		5
Mar 13		5
Mar 13		5
Mar 15		6
Mar 15		6
Mar 15		6
Mar 20		7
Mar 20		7
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
Mar 22		8
Mar 22		8
Mar 27		9
Mar 27		9
Mar 27		9
Mar 29	Alex Pon	28	Wasserstein GAN
Mar 29	Sean Walsh	29	Improved Training of Wasserstein GANs
Mar 29	Jason Ku	30	MarrNet: 3D Shape Reconstruction via 2.5D Sketches
Apr 3		11
Apr 3		11
Apr 3		11