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List of Papers

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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
Mar 6 Raphael Tang 8 Snapshot Ensembles: Train 1, Get M for Free Paper
Mar 6 Fan Xia 9 Breaking the Softmax Bottleneck: Word translation without parallel data Paper Summary
Mar 8 Alex (Xian) Wang 10 Self-Normalizing Neural Networks Paper
Mar 8 Guillaume Verdon 11
Mar 8 Wei Tao Chen 12 Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data [2]
Mar 13 Chunshang Li 13 UNDERSTANDING IMAGE MOTION WITH GROUP REPRESENTATIONS Paper
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
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 Don't Decay the Learning Rate, Increase the Batch Size 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