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T: You had a technical 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		1
Feb 27		2
Feb 27		3
Mar 1	Peter Forsyth	4	Unsupervised Machine Translation Using Monolingual Corpora Only	Paper	[Summary]
Mar 1	wenqing liu	5	Spectral Normalization for Generative Adversarial Networks	Paper	Summary
Mar 1	Ilia Sucholutsky	6	One-Shot Imitation Learning	Paper	Summary
Mar 6	George (Shiyang) Wen	7	AmbientGAN: Generative models from lossy measurements	Paper	Summary
Mar 6	Raphael Tang	8	Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers	Paper	Summary
Mar 6	Fan Xia	9	Word translation without parallel data	Paper	Summary
Mar 8	Alex (Xian) Wang	10	Self-Normalizing Neural Networks	Paper	Summary
Mar 8	Guillaume Verdon	11
Mar 8	Wei Tao Chen	12	Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data	Paper	Summary
Mar 13	Chunshang Li	13	UNDERSTANDING IMAGE MOTION WITH GROUP REPRESENTATIONS	Paper	[2]
Mar 13	Saifuddin Hitawala	14	Thinking Fast and Slow with Deep Learning and Tree Search	Paper
Mar 13	Taylor Denouden	15	A neural representation of sketch drawings	Paper	[Summary]
Mar 15	Zehao Xu	16	Synthetic and natural noise both break neural machine translation	Paper	Summary
Mar 15	Prarthana Bhattacharyya	17	Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks	[3]	[Summary]
Mar 15	Changjian Li	18	Imagination-Augmented Agents for Deep Reinforcement Learning	Paper
Mar 20	Travis Dunn	19	Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments	Paper	[Summary]
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	22	Implicit Causal Models for Genome-wide Association Studies	Paper
Mar 22	Yao Li	23	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	Marko Ilievski	27	Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders	Paper
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	Benjamin Skikos	32	Training and Inference with Integers in Deep Neural Networks	Paper
Apr 3	Weishi Chen	33	Tensorized LSTMs for sequence learning	Paper