Papers
A Unified Multiplicative Framework for Attribute Learning
Kongming Liang, Hong Chang, Shiguang Shan et al.
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data
Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low
A Universal Catalyst for First-Order Optimization
Hongzhou Lin, Julien Mairal, Zaid Harchaoui
A Universal Primal-Dual Convex Optimization Framework
Alp Yurtsever, Quoc Tran Dinh, Volkan Cevher
Autoencoder Trees
Ozan İrsoy, Ethem Alpaydin
Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face
Jungseock Joo, Francis F. Steen, Song-Chun Zhu
Automatically Discovering Local Visual Material Attributes
Gabriel Schwartz, Ko Nishino
Automatic Concept Discovery From Parallel Text and Visual Corpora
Chen Sun, Chuang Gan, Ram Nevatia
Automatic Construction Of Robust Spherical Harmonic Subspaces
Patrick Snape, Yannis Panagakis, Stefanos Zafeiriou
Automatic Thumbnail Generation Based on Visual Representativeness and Foreground Recognizability
Jingwei Huang, Huarong Chen, Bin Wang et al.
Automatic Variational Inference in Stan
Alp Kucukelbir, Rajesh Ranganath, Andrew Gelman et al.
Autonomy Infused Teleoperation with Application to BCI Manipulation
Katharina Mulling, Arun Venkatraman, Jean-Sebastien Valois et al.
Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions
Alexandre Defossez, Francis Bach
A Versatile Learning-Based 3D Temporal Tracker: Scalable, Robust, Online
David Joseph Tan, Federico Tombari, Slobodan Ilic et al.
A Versatile Scene Model With Differentiable Visibility Applied to Generative Pose Estimation
Helge Rhodin, Nadia Robertini, Christian Richardt et al.
A View of Margin Losses as Regularizers of Probability Estimates
Hamed Masnadi-Shirazi, Nuno Vasconcelos
A Wavefront Marching Method for Solving the Eikonal Equation on Cartesian Grids
Brais Cancela, Marcos Ortega, Manuel G. Penedo
A Weighted Sparse Coding Framework for Saliency Detection
Nianyi Li, Bilin Sun, Jingyi Yu
Background Subtraction via Generalized Fused Lasso Foreground Modeling
Bo Xin, Yuan Tian, Yizhou Wang et al.
Backpropagation for Energy-Efficient Neuromorphic Computing
Steve K Esser, Rathinakumar Appuswamy, Paul Merolla et al.
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
Dominik Rothenhäusler, Christina Heinze, Jonas Peters et al.
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
Mehrdad Farajtabar, Manuel Gomez Rodriguez, Mohammad Zamani et al.
Bad Universal Priors and Notions of Optimality
Jan Leike, Marcus Hutter
Bandit Convex Optimization: \sqrtT Regret in One Dimension
Sébastien Bubeck, Ofer Dekel, Tomer Koren et al.
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff
Ofer Dekel, Ronen Eldan, Tomer Koren