776 citations · 2.2k across the 24 of their papers we have counts for
6 papers · 1 filter
Using Web Co-occurrence Statistics for Improving Image Categorization
Samy Bengio, Jeff Dean, Dumitru Erhan +5
Object recognition and localization are important tasks in computer vision. The focus of this work is the incorporation of contextual information in order to improve object recogni…
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Mohammad Norouzi, Tomas Mikolov, Samy Bengio +5
Several recent publications have proposed methods for mapping images into continuous semantic embedding spaces. In some cases the embedding space is trained jointly with the image…
The Maximum Entropy Relaxation Path
Moshe Dubiner, Matan Gavish, Yoram Singer
The relaxed maximum entropy problem is concerned with finding a probability distribution on a finite set that minimizes the relative entropy to a given prior distribution, while sa…
Update Rules for Parameter Estimation in Bayesian Networks
Eric Bauer, Daphne Koller, Yoram Singer
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [Ki…
Switching Portfolios
Yoram Singer
A constant rebalanced portfolio is an asset allocation algorithm which keeps the same distribution of wealth among a set of assets along a period of time. Recently, there has been…
Matrix Approximation under Local Low-Rank Assumption
Joonseok Lee, Seungyeon Kim, Guy Lebanon +1
Matrix approximation is a common tool in machine learning for building accurate prediction models for recommendation systems, text mining, and computer vision. A prevalent assumpti…