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https://www.di.ens.fr/willow/pdfscurrent/oquab14cvpr.pdf
Convolutional neural networks (CNN) have recently shown outstanding image classification performance in the largescale visual recognition ch…
leo-p updated
7 years ago
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Dear authors:
Thank you for opensourcing your great work RCG.
However, I have noticed that:
1. A closely related technique called self-conditioning (NO clustering is performed, in contrast to 3, 34,…
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# Open and Shared Representations for Neuroscience
***By Paola Di Maio, Center for AI Learning/Neuroscience***
- Theme: Open Workflows
- Format: Keynote
## Abstract
Recent advances in neuroscience u…
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https://arxiv.org/pdf/1505.07818.pdf
We introduce a new representation learning approach for domain adaptation, in which data at training and test time come from similar but different distributions…
leo-p updated
7 years ago
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### Description
Data representation as a density matrix of some quantum state is widely used in Quantum Machine Learning models. In many cases, the main task is to extract the eigenvalues and eigen…
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# 🌟 New SSL approach addition
## Approach description
> Recent self-supervised methods for image representation learning are based on
> maximizing the agreement between embedding vectors from d…
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https://openreview.net/forum?id=Bks8cPcxe
Abstract: In recent years, Deep Learning (DL) has found great success in domains such as multimedia understanding. However, the complex nature of multimedi…
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https://doi.org/10.1101/262501
> Recent advances have enabled gene expression profiling of single cells at lower cost. As more data is produced there is an increasing need to integrate diverse data…
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Post your question here about the orienting readings: “[Preface: How to Think with Deep Learning](https://docs.google.com/document/d/1_IiBXAPDNmGHXk2ETmr85eKT9BgjOFqB72D0nRsqnEY/edit?usp=sharing)”, “[…
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Has anyone got the classification accuracy and F1 on the Weibo and Twitter datasets reported in this paper?
Using the provided codes and parameter settings stated in the paper, we could not reproduce…