Papers
Unbiased Objective Estimation in Predictive Optimization
Shinji Ito, Akihiro Yabe, Ryohei Fujimaki
Understanding and Simplifying One-Shot Architecture Search
Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph et al.
Understanding Generalization and Optimization Performance of Deep CNNs
Pan Zhou, Jiashi Feng
Understanding the Loss Surface of Neural Networks for Binary Classification
SHIYU LIANG, Ruoyu Sun, Yixuan Li et al.
Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control
Aravind Srinivas, Allan Jabri, Pieter Abbeel et al.
Using Inherent Structures to design Lean 2-layer RBMs
Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya
Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning
Rodrigo Toro Icarte, Toryn Klassen, Richard Valenzano et al.
Variational Bayesian dropout: pitfalls and fixes
Jiri Hron, Alex Matthews, Zoubin Ghahramani
Variational Inference and Model Selection with Generalized Evidence Bounds
Liqun Chen, Chenyang Tao, Ruiyi Zhang et al.
Variational Network Inference: Strong and Stable with Concrete Support
Amir Dezfouli, Edwin Bonilla, Richard Nock
Video Prediction with Appearance and Motion Conditions
Yunseok Jang, Gunhee Kim, Yale Song
Visualizing and Understanding Atari Agents
Samuel Greydanus, Anurag Koul, Jonathan Dodge et al.
Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy?
Lin Chen, Moran Feldman, Amin Karbasi
Weightless: Lossy weight encoding for deep neural network compression
Brandon Reagan, Udit Gupta, Bob Adolf et al.
Which Training Methods for GANs do actually Converge?
Lars Mescheder, Andreas Geiger, Sebastian Nowozin
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models
Marine Le Morvan, Jean-Philippe Vert
WSNet: Compact and Efficient Networks Through Weight Sampling
Xiaojie Jin, Yingzhen Yang, Ning Xu et al.
Yes, but Did It Work?: Evaluating Variational Inference
Yuling Yao, Aki Vehtari, Daniel Simpson et al.
A Birth-Death Process for Feature Allocation
Konstantina Palla, David Knowles, Zoubin Ghahramani
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann et al.
A Closer Look at Memorization in Deep Networks
Devansh Arpit, Stanisław Jastrzębski, Nicolas Ballas et al.
Active Heteroscedastic Regression
Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan