Papers
Universal Growth in Production Economies
Simina Branzei, Ruta Mehta, Noam Nisan
RenderNet: A deep convolutional network for differentiable rendering from 3D shapes
Thu H Nguyen-Phuoc, Chuan Li, Stephen Balaban et al.
Algorithmic Linearly Constrained Gaussian Processes
Markus Lange-Hegermann
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks
Jacob Harer, Onur Ozdemir, Tomo Lazovich et al.
Learning to Solve SMT Formulas
Mislav Balunovic, Pavol Bielik, Martin Vechev
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Ye Jia, Yu Zhang, Ron Weiss et al.
Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms
Ganesh Sundaramoorthi, Anthony Yezzi
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity
Pan Zhou, Xiaotong Yuan, Jiashi Feng
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
Sainandan Ramakrishnan, Aishwarya Agrawal, Stefan Lee
Neural Guided Constraint Logic Programming for Program Synthesis
Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya et al.
Learning to Infer Graphics Programs from Hand-Drawn Images
Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama et al.
A Bayes-Sard Cubature Method
Toni Karvonen, Chris J Oates, Simo Sarkka
TADAM: Task dependent adaptive metric for improved few-shot learning
Boris Oreshkin, Pau Rodríguez López, Alexandre Lacoste
How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective
Lei Wu, Chao Ma, Weinan E
Representation Learning of Compositional Data
Marta Avalos, Richard Nock, Cheng Soon Ong et al.
Visual Memory for Robust Path Following
Ashish Kumar, Saurabh Gupta, David Fouhey et al.
Balanced Policy Evaluation and Learning
Nathan Kallus
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks
Agastya Kalra, Abdullah Rashwan, Wei-Shou Hsu et al.
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs
Yanlin Han, Piotr Gmytrasiewicz
Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization
Xiaoxuan Zhang, Mingrui Liu, Xun Zhou et al.
Learning Loop Invariants for Program Verification
Xujie Si, Hanjun Dai, Mukund Raghothaman et al.
Improving Explorability in Variational Inference with Annealed Variational Objectives
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste et al.
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
Matthew O'Kelly, Aman Sinha, Hongseok Namkoong et al.
Active Matting
Xin Yang, Ke Xu, Shaozhe Chen et al.
Complex Gated Recurrent Neural Networks
Moritz Wolter, Angela Yao