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05/30/2023
Benign Overfitting in Deep Neural Networks under Lazy Training
This paper focuses on over-parameterized deep neural networks (DNNs) wit...
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02/17/2023
Revisiting adversarial training for the worst-performing class
Despite progress in adversarial training (AT), there is a substantial ga...
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09/16/2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
Neural tangent kernel (NTK) is a powerful tool to analyze training dynam...
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09/15/2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
We study the average robustness notion in deep neural networks in (selec...
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09/15/2022
Generalization Properties of NAS under Activation and Skip Connection Search
Neural Architecture Search (NAS) has fostered the automatic discovery of...
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09/15/2022
Sound and Complete Verification of Polynomial Networks
Polynomial Networks (PNs) have demonstrated promising performance on fac...
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06/14/2022
Adversarial Audio Synthesis with Complex-valued Polynomial Networks
Time-frequency (TF) representations in audio synthesis have been increas...
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02/10/2022
Controlling the Complexity and Lipschitz Constant improves polynomial nets
While the class of Polynomial Nets demonstrates comparable performance t...
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12/24/2021
Cluster-guided Image Synthesis with Unconditional Models
Generative Adversarial Networks (GANs) are the driving force behind the ...
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09/17/2021
Self-Supervised Neural Architecture Search for Imbalanced Datasets
Neural Architecture Search (NAS) provides state-of-the-art results when ...
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07/07/2021
Tensor Methods in Computer Vision and Deep Learning
Tensors, or multidimensional arrays, are data structures that can natura...
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04/16/2021
Polynomial Networks in Deep Classifiers
Deep neural networks have been the driving force behind the success in c...
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04/11/2021
CoPE: Conditional image generation using Polynomial Expansions
Generative modeling has evolved to a notable field of machine learning. ...
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07/17/2020
Unsupervised Controllable Generation with Self-Training
Recent generative adversarial networks (GANs) are able to generate impre...
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03/08/2020
Π-nets: Deep Polynomial Neural Networks
Deep Convolutional Neural Networks (DCNNs) is currently the method of ch...
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02/11/2020
Reconstructing the Noise Manifold for Image Denoising
Deep Convolutional Neural Networks (DCNNs) have been successfully used i...
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05/22/2018
Robust Conditional Generative Adversarial Networks
Conditional generative adversarial networks (cGAN) have led to large imp...
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03/08/2018
Motion deblurring of faces
Face analysis is a core part of computer vision, in which remarkable pro...
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01/20/2018
Visual Data Augmentation through Learning
The rapid progress in machine learning methods has been empowered by i) ...
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04/27/2017
Deep Face Deblurring
Blind deblurring consists a long studied task, however the outcomes of g...
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03/18/2016
