Publications | Research

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Artificial Intelligence and Machine Learning

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2016

Tensor Contractions with Extended BLAS Kernels on CPU and GPU

Yang Shi, U. N. Niranjan, Animashree Anandkumar, Cris Cecka

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU

Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz

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

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

Temporal Ensembling for Semi-Supervised Learning

Samuli Laine, Timo Aila

Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification

Xiaodong Yang, Pavlo Molchanov, Jan Kautz

Learning to generalize to new compositions in image understanding

Yuval Atzmon, Jonathan Berant, Vahid Kezami, Amir Globerson, Gal Chechik

Towards Selecting Robust Hand Gestures for Automotive Interfaces

Shalini Gupta, Pavlo Molchanov, Xiaodong Yang, Stephen Tyree, Jan Kautz

Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks

Yu-Hsin Chen, Joel Emer, Vivienne Sze

Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks

Pavlo Molchanov, Xiaodong Yang, Shaline Gupta, Kihwan Kim, Stephen Tyree, Jan Kautz

Parallel Spectral Graph Partitioning

Maxim Naumov, Timothy Moon

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

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

2014

cuDNN: Efficient Primitives for Deep Learning

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