Papers
Zero-Shot Semantic Segmentation
Maxime Bucher, Tuan-Hung VU, Matthieu Cord et al.
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
Xiangyi Chen, Sijia Liu, Kaidi Xu et al.
$\ell_1$-regression with Heavy-tailed Distributions
Lijun Zhang, Zhi-Hua Zhou
3D-Aware Scene Manipulation via Inverse Graphics
Shunyu Yao, Tzu Ming Hsu, Jun-Yan Zhu et al.
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler, Mario Geiger, Max Welling et al.
A^2-Nets: Double Attention Networks
Yunpeng Chen, Yannis Kalantidis, Jianshu Li et al.
A Bandit Approach to Sequential Experimental Design with False Discovery Control
Kevin G. Jamieson, Lalit Jain
A Bayesian Approach to Generative Adversarial Imitation Learning
Wonseok Jeon, Seokin Seo, Kee-Eung Kim
A Bayesian Nonparametric View on Count-Min Sketch
Diana Cai, Michael Mitzenmacher, Ryan P. Adams
A Bayes-Sard Cubature Method
Toni Karvonen, Chris J Oates, Simo Sarkka
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
Tengyang Xie, Bo Liu, Yangyang Xu et al.
A Bridging Framework for Model Optimization and Deep Propagation
Risheng Liu, Shichao Cheng, xiaokun liu et al.
Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
Robert Gower, Filip Hanzely, Peter Richtarik et al.
Acceleration through Optimistic No-Regret Dynamics
Jun-Kun Wang, Jacob D. Abernethy
A Convex Duality Framework for GANs
Farzan Farnia, David Tse
A convex program for bilinear inversion of sparse vectors
Alireza Aghasi, Ali Ahmed, Paul Hand et al.
Active Learning for Non-Parametric Regression Using Purely Random Trees
Jack Goetz, Ambuj Tewari, Paul Zimmerman
Active Matting
Xin Yang, Ke Xu, Shaozhe Chen et al.
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
Sriram Srinivasan, Marc Lanctot, Vinicius Zambaldi et al.
Adaptation to Easy Data in Prediction with Limited Advice
Tobias Sommer Thune, Yevgeny Seldin
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning
Tyler Scott, Karl Ridgeway, Michael Mozer
Adaptive Learning with Unknown Information Flows
Yonatan Gur, Ahmadreza Momeni
Adaptive Methods for Nonconvex Optimization
Manzil Zaheer, Sashank Reddi, Devendra Sachan et al.
Adaptive Negative Curvature Descent with Applications in Non-convex Optimization
Mingrui Liu, Zhe Li, Xiaoyu Wang et al.
Adaptive Online Learning in Dynamic Environments
Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou