Papers
Attention-based Deep Multiple Instance Learning
Maximilian Ilse, Jakub Tomczak, Max Welling
A Two-Step Computation of the Exact GAN Wasserstein Distance
Huidong Liu, Xianfeng GU, Dimitris Samaras
Augment and Reduce: Stochastic Inference for Large Categorical Distributions
Francisco Ruiz, Michalis Titsias, Adji Bousso Dieng et al.
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Amjad Almahairi, Sai Rajeshwar, Alessandro Sordoni et al.
A Unified Framework for Structured Low-rank Matrix Learning
Pratik Jawanpuria, Bamdev Mishra
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa, David Held, Xinyang Geng et al.
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
Mikolaj Binkowski, Gautier Marti, Philippe Donnat
Autoregressive Quantile Networks for Generative Modeling
Georg Ostrovski, Will Dabney, Remi Munos
Bandits with Delayed, Aggregated Anonymous Feedback
Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvari et al.
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design
Wenlong Lyu, Fan Yang, Changhao Yan et al.
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
Trevor Campbell, Tamara Broderick
Bayesian Model Selection for Change Point Detection and Clustering
Othmane Mazhar, Cristian Rojas, Carlo Fischione et al.
Bayesian Optimization of Combinatorial Structures
Ricardo Baptista, Matthias Poloczek
Bayesian Quadrature for Multiple Related Integrals
Xiaoyue Xi, Francois-Xavier Briol, Mark Girolami
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
Mattias Teye, Hossein Azizpour, Kevin Smith
Been There, Done That: Meta-Learning with Episodic Recall
Samuel Ritter, Jane Wang, Zeb Kurth-Nelson et al.
Best Arm Identification in Linear Bandits with Linear Dimension Dependency
Chao Tao, Saúl Blanco, Yuan Zhou
Beyond 1/2-Approximation for Submodular Maximization on Massive Data Streams
Ashkan Norouzi-Fard, Jakub Tarnawski, Slobodan Mitrovic et al.
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
Yiping Lu, Aoxiao Zhong, Quanzheng Li et al.
Beyond the One-Step Greedy Approach in Reinforcement Learning
Yonathan Efroni, Gal Dalal, Bruno Scherrer et al.
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi, Paolo Frasconi, Saverio Salzo et al.
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics
Bowei Yan, Sanmi Koyejo, Kai Zhong et al.
Binary Partitions with Approximate Minimum Impurity
Eduardo Laber, Marco Molinaro, Felipe Mello Pereira
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas, Logan Engstrom, Anish Athalye et al.