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11/18/2019
Learning Permutation Invariant Representations using Memory Networks
Many real world tasks such as 3D object detection and high-resolution im...
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04/03/2018
Convolutional Neural Networks Regularized by Correlated Noise
Neurons in the visual cortex are correlated in their variability. The pr...
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03/02/2018
Quantitatively Evaluating GANs With Divergences Proposed for Training
Generative adversarial networks (GANs) have been extremely effective in ...
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09/30/2016
Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have gained significant traction in...
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02/24/2016
Automatic Moth Detection from Trap Images for Pest Management
Monitoring the number of insect pests is a crucial component in pheromon...
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11/20/2015
Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning
We propose a method for hand pose estimation based on a deep regressor t...
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11/12/2015
Learning Human Identity from Motion Patterns
We present a large-scale study exploring the capability of temporal deep...
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06/01/2015
Learning with hidden variables
Learning and inferring features that generate sensory input is a task co...
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12/22/2014