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Artificial Intelligence and Machine Learning

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Artificial Intelligence and Machine Learning

2016

vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design

Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Steve Keckler

2015

Learning Sparse Metrics, One Feature at a Time

Yuval Atzmon, Uri Shalit, Gal Chechik

Compressing Neural Networks with the Hashing Trick

Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen

Hand Gesture Recognition with 3D Convolutional Neural Networks

Pavlo Molchanov, Shalini Gupta, Kihwan Kim, Jan Kautz

Winner (1st place) Hand Gesture Recognition Challenge

Multi-sensor System for Driver’s Hand-Gesture Recognition

Pavlo Molchanov, Shalini Gupta, Kihwan Kim, Kari Pulli

Short-Range FMCW Monopulse Radar for Hand-Gesture Sensing

Pavlo Molchanov, Shalini Gupta, Kihwan Kim, Kari Pulli

Adaptive Segmentation based on a Learned Quality Metric

Iuri Frosio, Ed Ratner

Machine Learning for Adaptive Bilateral Filtering

Iuri Frosio, Karen Egiazarian, Kari Pulli

2014

cuDNN: Efficient Primitives for Deep Learning

Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer

MesoGAN: Generative Neural Reflectance Shells

Stavros Diolatzis, Jan Novák, Fabrice Rousselle, Jonathan Granskog, Miika Aittala, Ravi Ramamoorthi, George Drettakis

Graph Positional Encoding via Random Feature Propagation

Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron

ICML