Charles Ollion | DeepAI

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∙ 09/20/2021

Learning Natural Language Generation from Scratch

This paper introduces TRUncated ReinForcement Learning for Language (Tru...

6 Alice Martin Donati, et al. ∙

∙ 03/17/2021

Invertible Flow Non Equilibrium sampling

Simultaneously sampling from a complex distribution with intractable nor...

0 Achille Thin, et al. ∙

∙ 02/16/2021

Joint self-supervised blind denoising and noise estimation

We propose a novel self-supervised image blind denoising approach in whi...

0 Jean Ollion, et al. ∙

∙ 10/06/2020

CORE: Color Regression for Multiple Colors Fashion Garments

Among all fashion attributes, color is challenging to detect due to its ...

0 Alexandre Ramé, et al. ∙

∙ 07/15/2020

The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction

This paper introduces the Sequential Monte Carlo Transformer, an origina...

65 Alice Martin, et al. ∙

∙ 06/24/2020

Insights from the Future for Continual Learning

Continual learning aims to learn tasks sequentially, with (often severe)...

0 Arthur Douillard, et al. ∙

∙ 04/28/2020

Small-Task Incremental Learning

Lifelong learning has attracted much attention, but existing works still...

6 Arthur Douillard, et al. ∙

∙ 03/17/2020

DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine

The mother machine is a popular microfluidic device that allows long-ter...

15 Jean Ollion, et al. ∙

∙ 12/06/2018

OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation

Object detectors tend to perform poorly in new or open domains, and requ...

32 Alexandre Ramé, et al. ∙

∙ 09/27/2017

Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction

In this paper, we present a method to learn a visual representation adap...

0 Charles Corbière, et al. ∙

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