From the 1 of 51 linked papers with an AI index.
2.2k citations · 7.8k across the 48 of their papers we have counts for
6 papers · 1 filter
Deep learning for class-generic object detection
Brody Huval, Adam Coates, Andrew Ng
We investigate the use of deep neural networks for the novel task of class generic object detection. We show that neural networks originally designed for image recognition can be t…
Tuned Models of Peer Assessment in MOOCs
Chris Piech, Jonathan Huang, Zhenghao Chen +3
In massive open online courses (MOOCs), peer grading serves as a critical tool for scaling the grading of complex, open-ended assignments to courses with tens or hundreds of thousa…
An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering
Michael Kearns, Yishay Mansour, Andrew Y. Ng
Assignment methods are at the heart of many algorithms for unsupervised learning and clustering - in particular, the well-known K-means and Expectation-Maximization (EM) algorithms…
PEGASUS: A Policy Search Method for Large MDPs and POMDPs
Andrew Y. Ng, Michael I. Jordan
We propose a new approach to the problem of searching a space of policies for a Markov decision process (MDP) or a partially observable Markov decision process (POMDP), given a mod…
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Hamsa Sridhar +3
This work introduces a model that can recognize objects in images even if no training data is available for the objects. The only necessary knowledge about the unseen categories co…
Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors
Danqi Chen, Richard Socher, Christopher D. Manning +1
Knowledge bases provide applications with the benefit of easily accessible, systematic relational knowledge but often suffer in practice from their incompleteness and lack of knowl…