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).
|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|
|Mar 8||Alex (Xian) Wang||4||Self-Normalizing Neural Networks||Paper|
|Mar 13||Chunshang Li||5||UNDERSTANDING IMAGE MOTION WITH GROUP REPRESENTATIONS|
|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|
|Mar 22||Sahil Pereira||24||End-to-End Differentiable Adversarial Imitation Learning||Paper||Summary|
|Mar 27||Jaspreet Singh Sambee||9|
|Mar 27||Braden Hurl||26|
|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|