24.4k citations
- Courant Institute of Mathematical SciencesUS7 papers
- Microsoft (United States)US7 papers
- New York UniversityUS7 papers
- Columbia UniversityUS5 papers
- Stanford UniversityUS5 papers
- University of California, BerkeleyUS5 papers
- University of WashingtonUS5 papers
- Carnegie Mellon UniversityUS4 papers
- Cornell UniversityUS4 papers
- Massachusetts Institute of TechnologyUS4 papers
- University of Illinois Urbana-ChampaignUS4 papers
- University of OxfordGB4 papers
25 papers · 1 filter
Massively Parallel Methods for Deep Reinforcement Learning
Arun Nair, Praveen Srinivasan, Sam Blackwell +11
We present the first massively distributed architecture for deep reinforcement learning. This architecture uses four main components: parallel actors that generate new behaviour; p…
DeepFont: Identify Your Font from An Image
Zhangyang Wang, Jianchao Yang, Hailin Jin +4
As font is one of the core design concepts, automatic font identification and similar font suggestion from an image or photo has been on the wish list of many designers. We study t…
Randomized Revenue Monotone Mechanisms for Online Advertising
Gagan Goel, MohammadTaghi Hajiaghayi, Mohammad Reza Khani
Online advertising is the main source of revenue for many Internet firms. A central component of online advertising is the underlying mechanism that selects and prices the winning…
Core-competitive Auctions
Gagan Goel, Mohammad Reza Khani, Renato Paes Leme
One of the major drawbacks of the celebrated VCG auction is its low (or zero) revenue even when the agents have high value for the goods and a {\em competitive} outcome could have…
On the Effect of Human-Computer Interfaces on Language Expression
Dan Pelleg, Elad Yom-Tov, Evgeniy Gabrilovich
Language expression is known to be dependent on attributes intrinsic to the author. To date, however, little attention has been devoted to the effect of interfaces used to articula…
Beyond Short Snippets: Deep Networks for Video Classification
Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan +3
Convolutional neural networks (CNNs) have been extensively applied for image recognition problems giving state-of-the-art results on recognition, detection, segmentation and retrie…