Papers
176,624 papers found
Stochastic Three-Composite Convex Minimization
Alp Yurtsever, Bang Cong Vu, Volkan Cevher
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning
Xingguo Li, Tuo Zhao, Raman Arora et al.
Stochastic Variance Reduction for Nonconvex Optimization
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra et al.
Stochastic Variance Reduction Methods for Saddle-Point Problems
Balamurugan Palaniappan, Francis Bach
Stochastic Variational Deep Kernel Learning
Andrew G Wilson, Zhiting Hu, Ruslan Salakhutdinov et al.
Stochastic Variational Inference for the HDP-HMM
Aonan Zhang, San Gultekin, John Paisley
STON: Efficient Subtitling in Dutch Using State-of-the-Art Tools
Lyan Verwimp, Brecht Desplanques, Kris Demuynck et al.
Strategic Attentive Writer for Learning Macro-Actions
Alexander Vezhnevets, Volodymyr Mnih, Simon Osindero et al.
Stratified Sampling Meets Machine Learning
Edo Liberty, Kevin Lang, Konstantin Shmakov
Streaming Kernel Principal Component Analysis
Mina Ghashami, Daniel J. Perry, Jeff Phillips
Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja’s Algorithm
Prateek Jain, Chi Jin, Sham M. Kakade et al.
Street-View Change Detection with Deconvolutional Networks
Pablo F. Alcantarilla, Simon Stent, German Ros et al.
String and Membrane Gaussian Processes
Yves-Laurent Kom Samo, Stephen J. Roberts
Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures
Mario Lucic, Olivier Bachem, Andreas Krause
Strongly-Typed Recurrent Neural Networks
David Balduzzi, Muhammad Ghifary
StructED: Risk Minimization in Structured Prediction
Yossi Adi, Joseph Keshet
Structural Correlation Filter for Robust Visual Tracking
Si Liu, Tianzhu Zhang, Xiaochun Cao et al.
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain, Amir R. Zamir, Silvio Savarese et al.
Structure-Blind Signal Recovery
Dmitry Ostrovsky, Zaid Harchaoui, Anatoli Juditsky et al.
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors
Christos Louizos, Max Welling
Structured Aspect Extraction
Omer Gunes, Tim Furche, Giorgio Orsi
Structured Feature Learning for Pose Estimation
Xiao Chu, Wanli Ouyang, Hongsheng Li et al.
Structured Feature Similarity With Explicit Feature Map
Takumi Kobayashi
Structured Generative Models of Continuous Features for Word Sense Induction
Alexandros Komninos, Suresh Manandhar
Structure Discovery in Bayesian Networks by Sampling Partial Orders
Teppo Niinimäki, Pekka Parviainen, Mikko Koivisto