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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 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 Michael Broughton 11 Convergence of Adam and beyond Paper Summary
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 Summary
Mar 13 Saifuddin Hitawala 14 Robust Imitation of Diverse Behaviors Paper Summary
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 Wasserstein Auto-Encoders Paper Summary
Mar 15 Changjian Li 18 Label-Free Supervision of Neural Networks with Physics and Domain Knowledge Paper Summary
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 Summary
Mar 22 Yao Li 23 Improving GANs Using Optimal Transport Paper Summary
Mar 22 Sahil Pereira 24 End-to-End Differentiable Adversarial Imitation Learning Paper Summary
Mar 27 Jaspreet Singh Sambee 25 Do Deep Neural Networks Suffer from Crowding? Paper Summary
Mar 27 Braden Hurl 26 Spherical CNNs Paper Summary
Mar 27 Marko Ilievski 27 Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders Paper Summary
Mar 29 Alex Pon 28 PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space Paper Summary
Mar 29 Sean Walsh 29 Multi-scale Dense Networks for Resource Efficient Image Classification Paper Summary
Mar 29 Jason Ku 30 MarrNet: 3D Shape Reconstruction via 2.5D Sketches Paper Summary
Apr 3 Tong Yang 31 Dynamic Routing Between Capsules. Paper Summary
Apr 3 Benjamin Skikos 32 Training and Inference with Integers in Deep Neural Networks Paper Summary
Apr 3 Weishi Chen 33 Tensorized LSTMs for Sequence Learning Paper Summary