23.6k citations
- Carnegie Mellon UniversityUS49 papers
- Google (United States)US37 papers
- California Institute of TechnologyUS33 papers
- Amazon (Germany)DE32 papers
- University of Illinois Urbana-ChampaignUS22 papers
- Microsoft (United States)US20 papers
- Stanford UniversityUS20 papers
- The University of Texas at AustinUS20 papers
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- University of California, Santa BarbaraUS19 papers
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- Georgia Institute of TechnologyUS17 papers
19 papers · 1 filter
Temporal Tessellation: A Unified Approach for Video Analysis
Dotan Kaufman, Gil Levi, Tal Hassner +1
We present a general approach to video understanding, inspired by semantic transfer techniques that have been successfully used for 2D image analysis. Our method considers a video…
Compacting Neural Network Classifiers via Dropout Training
Yotaro Kubo, George Tucker, Simon Wiesler
We introduce dropout compaction, a novel method for training feed-forward neural networks which realizes the performance gains of training a large model with dropout regularization…
Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation
Yu-An Chung, Shao-Wen Yang, Hsuan-Tien Lin
While deep neural networks have succeeded in several visual applications, such as object recognition, detection, and localization, by reaching very high classification accuracies,…
Node Embedding via Word Embedding for Network Community Discovery
Weicong Ding, Christy Lin, Prakash Ishwar
Neural node embeddings have recently emerged as a powerful representation for supervised learning tasks involving graph-structured data. We leverage this recent advance to develop…
Attributing Hacks
Ziqi Liu, Alexander J. Smola, Kyle Soska +3
In this paper we describe an algorithm for estimating the provenance of hacks on websites. That is, given properties of sites and the temporal occurrence of attacks, we are able to…
Playing SNES in the Retro Learning Environment
Nadav Bhonker, Shai Rozenberg, Itay Hubara
Mastering a video game requires skill, tactics and strategy. While these attributes may be acquired naturally by human players, teaching them to a computer program is a far more ch…