Papers
5,920 papers found
Factorial LDA: Sparse Multi-Dimensional Text Models
Michael Paul, Mark Dredze
A systematic approach to extracting semantic information from functional MRI data
Francisco Pereira, Matthew Botvinick
Unsupervised Structure Discovery for Semantic Analysis of Audio
Sourish Chaudhuri, Bhiksha Raj
Semantic Kernel Forests from Multiple Taxonomies
Sung Ju Hwang, Kristen Grauman, Fei Sha
DeViSE: A Deep Visual-Semantic Embedding Model
Andrea Frome, Greg S Corrado, Jon Shlens et al.
Context-sensitive active sensing in humans
Sheeraz Ahmad, He Huang, Angela J. Yu
Dynamic Rank Factor Model for Text Streams
Shaobo Han, Lin Du, Esther Salazar et al.
Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs
David I Inouye, Pradeep K Ravikumar, Inderjit S Dhillon
A Unified Semantic Embedding: Relating Taxonomies and Attributes
Sung Ju Hwang, Leonid Sigal
Repeated Contextual Auctions with Strategic Buyers
Kareem Amin, Afshin Rostamizadeh, Umar Syed
Metric Learning for Temporal Sequence Alignment
Damien Garreau, Rémi Lajugie, Sylvain Arlot et al.
Recursive Context Propagation Network for Semantic Scene Labeling
Abhishek Sharma, Oncel Tuzel, Ming-Yu Liu
A statistical model for tensor PCA
Emile Richard, Andrea Montanari
Texture Synthesis Using Convolutional Neural Networks
Leon Gatys, Alexander S Ecker, Matthias Bethge
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong, Hyeonwoo Noh, Bohyung Han
Sequential Neural Models with Stochastic Layers
Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet et al.
Contextual semibandits via supervised learning oracles
Akshay Krishnamurthy, Alekh Agarwal, Miro Dudik
Fairness in Learning: Classic and Contextual Bandits
Matthew Joseph, Michael Kearns, Jamie H Morgenstern et al.
Linear Contextual Bandits with Knapsacks
Shipra Agrawal, Nikhil Devanur
Semiparametric Differential Graph Models
Pan Xu, Quanquan Gu
Action Centered Contextual Bandits
Kristjan Greenewald, Ambuj Tewari, Susan Murphy et al.
Multi-Task Learning for Contextual Bandits
Aniket Anand Deshmukh, Urun Dogan, Clay Scott
Conservative Contextual Linear Bandits
Abbas Kazerouni, Mohammad Ghavamzadeh, Yasin Abbasi Yadkori et al.
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
Andrew Gibiansky, Sercan Arik, Gregory Diamos et al.
Contextual Stochastic Block Models
Yash Deshpande, Subhabrata Sen, Andrea Montanari et al.