Papers
14,212 papers found
Deep Joint Task Learning for Generic Object Extraction
Xiaolong Wang, Liliang Zhang, Liang Lin et al.
Scalable Non-linear Learning with Adaptive Polynomial Expansions
Alekh Agarwal, Alina Beygelzimer, Daniel J. Hsu et al.
Learning the Learning Rate for Prediction with Expert Advice
Wouter M. Koolen, Tim van Erven, Peter Grünwald
Parallel Direction Method of Multipliers
Huahua Wang, Arindam Banerjee, Zhi-Quan Luo
Feedback Detection for Live Predictors
Stefan Wager, Nick Chamandy, Omkar Muralidharan et al.
Multi-Resolution Cascades for Multiclass Object Detection
Mohammad Saberian, Nuno Vasconcelos
Expectation-Maximization for Learning Determinantal Point Processes
Jennifer A Gillenwater, Alex Kulesza, Emily B. Fox et al.
Sensory Integration and Density Estimation
Joseph G Makin, Philip N. Sabes
Exploiting easy data in online optimization
Amir Sani, Gergely Neu, Alessandro Lazaric
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
Fast Training of Pose Detectors in the Fourier Domain
João F. Henriques, Pedro Martins, Rui F Caseiro et al.
Streaming, Memory Limited Algorithms for Community Detection
Se-Young Yun, marc lelarge, Alexandre Proutiere
Local Decorrelation For Improved Pedestrian Detection
Woonhyun Nam, Piotr Dollar, Joon Hee Han
On the Convergence Rate of Decomposable Submodular Function Minimization
Robert Nishihara, Stefanie Jegelka, Michael I Jordan
Multi-Scale Spectral Decomposition of Massive Graphs
Si Si, Donghyuk Shin, Inderjit S Dhillon et al.
Provable Tensor Factorization with Missing Data
Prateek Jain, Sewoong Oh
Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms
Siu On Chan, Ilias Diakonikolas, Rocco A. Servedio et al.
Combinatorial Pure Exploration of Multi-Armed Bandits
Shouyuan Chen, Tian Lin, Irwin King et al.
Decomposing Parameter Estimation Problems
Khaled S Refaat, Arthur Choi, Adnan Darwiche
Efficient Minimax Signal Detection on Graphs
Jing Qian, Venkatesh Saligrama
On Integrated Clustering and Outlier Detection
Lionel Ott, Linsey Pang, Fabio T Ramos et al.
Discovering Structure in High-Dimensional Data Through Correlation Explanation
Greg Ver Steeg, Aram Galstyan
Optimal Ridge Detection using Coverage Risk
Yen-Chi Chen, Christopher R Genovese, Shirley Ho et al.
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick et al.
3D Object Proposals for Accurate Object Class Detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu et al.