Papers
Content preserving text generation with attribute controls
Lajanugen Logeswaran, Honglak Lee, Samy Bengio
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling
Emilie Kaufmann, Wouter M. Koolen, Aurélien Garivier
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
Marco Ciccone, Marco Gallieri, Jonathan Masci et al.
Densely Connected Attention Propagation for Reading Comprehension
Yi Tay, Anh Tuan Luu, Siu Cheung Hui et al.
Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors
Fei Jiang, Guosheng Yin, Francesca Dominici
Faster Neural Networks Straight from JPEG
Lionel Gueguen, Alex Sergeev, Ben Kadlec et al.
Streaming Kernel PCA with Õ(√n) Random Features
Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov et al.
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer et al.
PCA of high dimensional random walks with comparison to neural network training
Joseph Antognini, Jascha Sohl-Dickstein
Iterative Value-Aware Model Learning
Amir-massoud Farahmand
Natasha 2: Faster Non-Convex Optimization Than SGD
Zeyuan Allen-Zhu
Distributionally Robust Graphical Models
Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri et al.
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation
Chaitanya Ryali, Gautam Reddy, Angela J. Yu
Evolved Policy Gradients
Rein Houthooft, Yuhua Chen, Phillip Isola et al.
Learning and Testing Causal Models with Interventions
Jayadev Acharya, Arnab Bhattacharyya, Constantinos Daskalakis et al.
Revisiting (ε, γ, τ)-similarity learning for domain adaptation
Sofiane Dhouib, Ievgen Redko
The Limits of Post-Selection Generalization
Jonathan Ullman, Adam Smith, Kobbi Nissim et al.
Discretely Relaxing Continuous Variables for tractable Variational Inference
Trefor Evans, Prasanth Nair
Improving Neural Program Synthesis with Inferred Execution Traces
Eui Chul Shin, Illia Polosukhin, Dawn Song
Automatic differentiation in ML: Where we are and where we should be going
Bart van Merrienboer, Olivier Breuleux, Arnaud Bergeron et al.
Simple random search of static linear policies is competitive for reinforcement learning
Horia Mania, Aurelia Guy, Benjamin Recht
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
Shuyang Sun, Jiangmiao Pang, Jianping Shi et al.
Maximizing Induced Cardinality Under a Determinantal Point Process
Jennifer A Gillenwater, Alex Kulesza, Sergei Vassilvitskii et al.
GILBO: One Metric to Measure Them All
Alexander A Alemi, Ian Fischer