Papers
Critical Percolation as a Framework to Analyze the Training of Deep Networks
Zohar Ringel, Rodrigo Andrade de Bem
Active Neural Localization
Devendra Singh Chaplot, Emilio Parisotto, Ruslan Salakhutdinov
Semantic Interpolation in Implicit Models
Yannic Kilcher, Aurelien Lucchi, Thomas Hofmann
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus, Caiming Xiong, Richard Socher
Active Learning for Convolutional Neural Networks: A Core-Set Approach
Ozan Sener, Silvio Savarese
Boundary Seeking GANs
R Devon Hjelm, Athul Paul Jacob, Adam Trischler et al.
MaskGAN: Better Text Generation via Filling in the _______
William Fedus, Ian Goodfellow, Andrew M. Dai
Hierarchical Density Order Embeddings
Ben Athiwaratkun, Andrew Gordon Wilson
Semi-parametric topological memory for navigation
Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun
A Simple Neural Attentive Meta-Learner
Nikhil Mishra, Mostafa Rohaninejad, Xi Chen et al.
The High-Dimensional Geometry of Binary Neural Networks
Alexander G. Anderson, Cory P. Berg
Memory Augmented Control Networks
Arbaaz Khan, Clark Zhang, Nikolay Atanasov et al.
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Xingjun Ma, Bo Li, Yisen Wang et al.
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
Christopher J. Cueva, Xue-Xin Wei
Emergent Translation in Multi-Agent Communication
Jason Lee, Kyunghyun Cho, Jason Weston et al.
Imitation Learning from Visual Data with Multiple Intentions
Aviv Tamar, Khashayar Rohanimanesh, Yinlam Chow et al.
Measuring the Intrinsic Dimension of Objective Landscapes
Chunyuan Li, Heerad Farkhoor, Rosanne Liu et al.
Depthwise Separable Convolutions for Neural Machine Translation
Lukasz Kaiser, Aidan N. Gomez, Francois Chollet
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
Alon Brutzkus, Amir Globerson, Eran Malach et al.
SpectralNet: Spectral Clustering using Deep Neural Networks
Uri Shaham, Kelly Stanton, Henry Li et al.
Generative networks as inverse problems with Scattering transforms
Tomás Angles, Stéphane Mallat
Non-Autoregressive Neural Machine Translation
Jiatao Gu, James Bradbury, Caiming Xiong et al.
Emergent Complexity via Multi-Agent Competition
Trapit Bansal, Jakub Pachocki, Szymon Sidor et al.
Scalable Private Learning with PATE
Nicolas Papernot, Shuang Song, Ilya Mironov et al.
Can Neural Networks Understand Logical Entailment?
Richard Evans, David Saxton, David Amos et al.