Papers
A Retrieve-and-Edit Framework for Predicting Structured Outputs
Tatsunori B Hashimoto, Kelvin Guu, Yonatan Oren et al.
A Simple Cache Model for Image Recognition
Emin Orhan
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee, Kibok Lee, Honglak Lee et al.
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
Sampath Kannan, Jamie H Morgenstern, Aaron Roth et al.
A Smoother Way to Train Structured Prediction Models
Venkata Krishna Pillutla, Vincent Roulet, Sham M. Kakade et al.
A Spectral View of Adversarially Robust Features
Shivam Garg, Vatsal Sharan, Brian Zhang et al.
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic et al.
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
Sergey Bartunov, Adam Santoro, Blake Richards et al.
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices
Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen et al.
A Stein variational Newton method
Gianluca Detommaso, Tiangang Cui, Youssef Marzouk et al.
A Structured Prediction Approach for Label Ranking
Anna Korba, Alexandre Garcia, Florence d'Alché-Buc
Asymptotic optimality of adaptive importance sampling
François Portier, Bernard Delyon
A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice
Hendrik Fichtenberger, Dennis Rohde
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
Cedric Josz, Yi Ouyang, Richard Zhang et al.
ATOMO: Communication-efficient Learning via Atomic Sparsification
Hongyi Wang, Scott Sievert, Shengchao Liu et al.
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples
Guanhong Tao, Shiqing Ma, Yingqi Liu et al.
Attention in Convolutional LSTM for Gesture Recognition
Liang Zhang, Guangming Zhu, Lin Mei et al.
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh et al.
A Unified Framework for Extensive-Form Game Abstraction with Bounds
Christian Kroer, Tuomas Sandholm
A Unified View of Piecewise Linear Neural Network Verification
Rudy R Bunel, Ilker Turkaslan, Philip Torr et al.
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language
Matthew D. Hoffman, Matthew J Johnson, Dustin Tran
Automatic differentiation in ML: Where we are and where we should be going
Bart van Merrienboer, Olivier Breuleux, Arnaud Bergeron et al.
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector
Amit Zohar, Lior Wolf
Automating Bayesian optimization with Bayesian optimization
Gustavo Malkomes, Roman Garnett