Papers
173,579 papers found
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Christopher D. Manning et al.
Σ-Optimality for Active Learning on Gaussian Random Fields
Yifei Ma, Roman Garnett, Jeff Schneider
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model
Sanja Fidler, Sven Dickinson, Raquel Urtasun
3D Social Saliency from Head-mounted Cameras
Hyun S. Park, Eakta Jain, Yaser Sheikh
A Bayesian Analysis of the Radioactive Releases of Fukushima
Ryota Tomioka, Morten Mrup
A Bayesian Approach for Policy Learning from Trajectory Preference Queries
Aaron Wilson, Alan Fern, Prasad Tadepalli
A Better Way to Pretrain Deep Boltzmann Machines
Geoffrey E. Hinton, Ruslan Salakhutdinov
A Case Study on Meta-Generalising: A Gaussian Processes Approach
Grigorios Skolidis, Guido Sanguinetti
Accelerated Training for Matrix-norm Regularization: A Boosting Approach
Xinhua Zhang, Dale Schuurmans, Yao-liang Yu
Accuracy at the Top
Stephen Boyd, Corinna Cortes, Mehryar Mohri et al.
A Characterization of Scoring Rules for Linear Properties
Jacob D. Abernethy, Rafael M. Frongillo
A Composite Likelihood View for Multi-Label Classification
Yi Zhang, Jeff Schneider
A Conditional Multinomial Mixture Model for Superset Label Learning
Liping Liu, Thomas G. Dietterich
A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems
Takafumi Kanamori, Akiko Takeda, Taiji Suzuki
A Convex-Concave Relaxation Procedure Based Subgraph Matching Algorithm
Zhi-Yong Liu, Hong Qiao
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
Aaron Defazio, Tibério S. Caetano
A Correlation Clustering Approach to Link Classification in Signed Networks
Nicoló Cesa-Bianchi, Claudio Gentile, Fabio Vitale et al.
A Coupled Indian Buffet Process Model for Collaborative Filtering
Sotirios P. Chatzis
Action-Model Based Multi-agent Plan Recognition
Hankz H. Zhuo, Qiang Yang, Subbarao Kambhampati
Active Clustering of Biological Sequences
Konstantin Voevodski, Maria-Florina Balcan, Heiko Röglin et al.
Active Comparison of Prediction Models
Christoph Sawade, Niels Landwehr, Tobias Scheffer
Active Learning from Multiple Knowledge Sources
Yan Yan, Romer Rosales, Glenn Fung et al.
Active Learning of Model Evidence Using Bayesian Quadrature
Michael Osborne, Roman Garnett, Zoubin Ghahramani et al.
Active Learning of Multi-Index Function Models
Tyagi Hemant, Volkan Cevher
Active Learning Using Smooth Relative Regret Approximations with Applications
Nir Ailon, Ron Begleiter, Esther Ezra