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12/28/2022
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings
In this work, we introduce a hypergraph representation learning framewor...
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09/15/2021
Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel
Neural network applications have become popular in both enterprise and p...
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07/17/2021
STRODE: Stochastic Boundary Ordinary Differential Equation
Perception of time from sequentially acquired sensory inputs is rooted i...
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05/20/2021
DeepCAD: A Deep Generative Network for Computer-Aided Design Models
Deep generative models of 3D shapes have received a great deal of resear...
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06/22/2020
RP2K: A Large-Scale Retail Product Dataset forFine-Grained Image Classification
We introduce RP2K, a new large-scale retail product dataset for fine-gra...
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06/22/2020
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification
We introduce RP2K, a new large-scale retail product dataset for fine-gra...
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11/25/2019
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples
Modern image classification systems are often built on deep neural netwo...
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05/25/2019
Resisting Adversarial Attacks by k-Winners-Take-All
We propose a simple change to the current neural network structure for d...
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04/25/2019
Mechanics-Aware Modeling of Cloth Appearance
Micro-appearance models have brought unprecedented fidelity and details ...
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02/13/2019
Rethinking Generative Coverage: A Pointwise Guaranteed Approach
All generative models have to combat missing modes. The conventional wis...
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02/13/2019
Rethinking Generative Coverage: A Pointwise Guaranteed Approac
All generative models have to combat missing modes. The conventional wis...
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05/19/2018
BourGAN: Generative Networks with Metric Embeddings
This paper addresses the mode collapse for generative adversarial networ...
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07/28/2017