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12/09/2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Machine learning models have been found to learn shortcuts – unintended ...
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03/31/2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models
Our work focuses on addressing sample deficiency from low-density region...
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05/24/2021
Large-Scale Attribute-Object Compositions
We study the problem of learning how to predict attribute-object composi...
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04/06/2021
Towards measuring fairness in AI: the Casual Conversations dataset
This paper introduces a novel dataset to help researchers evaluate their...
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07/15/2020
Attention-Based Query Expansion Learning
Query expansion is a technique widely used in image search consisting in...
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02/19/2020
Using Hindsight to Anchor Past Knowledge in Continual Learning
In continual learning, the learner faces a stream of data whose distribu...
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10/21/2019
Decoupling Representation and Classifier for Long-Tailed Recognition
The long-tail distribution of the visual world poses great challenges fo...
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10/11/2019
Rosetta: Large scale system for text detection and recognition in images
In this paper we present a deployed, scalable optical character recognit...
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01/26/2018
Transparent Model Distillation
Model distillation was originally designed to distill knowledge from a l...
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10/25/2016
End-to-end Learning of Deep Visual Representations for Image Retrieval
While deep learning has become a key ingredient in the top performing me...
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04/05/2016
Deep Image Retrieval: Learning global representations for image search
We propose a novel approach for instance-level image retrieval. It produ...
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03/03/2016
What is the right way to represent document images?
In this article we study the problem of document image representation ba...
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07/23/2015
Deep Fishing: Gradient Features from Deep Nets
Convolutional Networks (ConvNets) have recently improved image recogniti...
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10/20/2014