278 citations · 1.5k across the 50 of their papers we have counts for
6 papers · 1 filter
Learning Dynamic Author Representations with Temporal Language Models
Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer
Language models are at the heart of numerous works, notably in the text mining and information retrieval communities. These statistical models aim at extracting word distributions,…
Large Memory Layers with Product Keys
Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato +2
This paper introduces a structured memory which can be easily integrated into a neural network. The memory is very large by design and significantly increases the capacity of the a…
Unsupervised Question Answering by Cloze Translation
Patrick Lewis, Ludovic Denoyer, Sebastian Riedel
Obtaining training data for Question Answering (QA) is time-consuming and resource-intensive, and existing QA datasets are only available for limited domains and languages. In this…
Binary Stochastic Representations for Large Multi-class Classification
Thomas Gerald, Aurélia Léon, Nicolas Baskiotis +1
Classification with a large number of classes is a key problem in machine learning and corresponds to many real-world applications like tagging of images or textual documents in so…
Unsupervised Object Segmentation by Redrawing
Mickaël Chen, Thierry Artières, Ludovic Denoyer
Object segmentation is a crucial problem that is usually solved by using supervised learning approaches over very large datasets composed of both images and corresponding object ma…
EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction
Diane Bouchacourt, Ludovic Denoyer
Providing explanations along with predictions is crucial in some text processing tasks. Therefore, we propose a new self-interpretable model that performs output prediction and sim…