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10/18/2022
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation
Contrastive self-supervised learning (CSL) with a prototypical regulariz...
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09/05/2022
Design of the topology for contrastive visual-textual alignment
Pre-training weakly related image-text pairs in the contrastive style sh...
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08/18/2022
Siamese Prototypical Contrastive Learning
Contrastive Self-supervised Learning (CSL) is a practical solution that ...
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03/02/2021
On the Memory Mechanism of Tensor-Power Recurrent Models
Tensor-power (TP) recurrent model is a family of non-linear dynamical sy...
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05/14/2019
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment
We address a problem of estimating pose of a person's head from its RGB ...
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03/21/2019
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
In this paper, we study design of deep neural networks for tasks of imag...
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10/31/2018
Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling
Although the convolutional neural networks (CNNs) have become popular fo...
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11/06/2017
HyperNetworks with statistical filtering for defending adversarial examples
Deep learning algorithms have been known to be vulnerable to adversarial...
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07/25/2017
Linear Discriminant Generative Adversarial Networks
We develop a novel method for training of GANs for unsupervised and clas...
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07/25/2017
Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs
In this work, we address the problem of improvement of robustness of fea...
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06/14/2017
Information Potential Auto-Encoders
In this paper, we suggest a framework to make use of mutual information ...
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11/30/2015