research
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03/27/2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection
Despite their appealing flexibility, deep neural networks (DNNs) are vul...
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03/02/2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Learning continuous representations of nodes is attracting growing inter...
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06/02/2018
Fast Locality Sensitive Hashing for Beam Search on GPU
We present a GPU-based Locality Sensitive Hashing (LSH) algorithm to spe...
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12/11/2017
Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks
Recent deep learning (DL) models have moved beyond static network archit...
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11/02/2017
Structured Generative Adversarial Networks
We study the problem of conditional generative modeling based on designa...
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06/11/2017
