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03/04/2021
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
Despite the success of convolutional neural networks (CNNs) in many comp...
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12/16/2020
Latent Space Conditioning on Generative Adversarial Networks
Generative adversarial networks are the state of the art approach toward...
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07/06/2020
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
In this work, we evaluate two different image clustering objectives, k-m...
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02/07/2020
Local Facial Attribute Transfer through Inpainting
The term attribute transfer refers to the tasks of altering images in su...
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01/16/2020
Scalable Hyperparameter Optimization with Lazy Gaussian Processes
Most machine learning methods require careful selection of hyper-paramet...
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11/02/2019
Unmasking DeepFakes with simple Features
Deep generative models have recently achieved impressive results for man...
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10/08/2019
Semi Few-Shot Attribute Translation
Recent studies have shown remarkable success in image-to-image translati...
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09/26/2019
GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks
Current training methods for deep neural networks boil down to very high...
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09/23/2019
Object Segmentation using Pixel-wise Adversarial Loss
Recent deep learning based approaches have shown remarkable success on o...
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05/29/2019
Stabilizing GANs with Octave Convolutions
In this preliminary report, we present a simple but very effective techn...
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08/27/2018
Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant
Deep learning is finding its way into the embedded world with applicatio...
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10/13/2017
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization
Recent research implies that training and inference of deep neural netwo...
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09/22/2016
