activity
20102022
most citedNeural Machine Translation by Jointly Learning to Align and Translate

14.5k citations · 90.1k across the 347 of their papers we have counts for

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Showing 2019Show all

63 papers · 1 filter

cs.CY2019★ 4 cited

Learning from Learning Machines: Optimisation, Rules, and Social Norms

Travis LaCroix, Yoshua Bengio

There is an analogy between machine learning systems and economic entities in that they are both adaptive, and their behaviour is specified in a more-or-less explicit way. It appea…

cs.CY2019★ 5 cited

On the Morality of Artificial Intelligence

Alexandra Luccioni, Yoshua Bengio

Much of the existing research on the social and ethical impact of Artificial Intelligence has been focused on defining ethical principles and guidelines surrounding Machine Learnin…

math.OC2019★ 1 cited

A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs

Yoshua Bengio, Emma Frejinger, Andrea Lodi +2

We propose a novel approach using supervised learning to obtain near-optimal primal solutions for two-stage stochastic integer programming (2SIP) problems with constraints in the f…

cs.LG2019★ 13 cited

The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis

Jessica A. F. Thompson, Yoshua Bengio, Marc Schoenwiesner

Centered Kernel Alignment (CKA) was recently proposed as a similarity metric for comparing activation patterns in deep networks. Here we experiment with the modified RV-coefficient…

eess.IV2019★ 2 cited

Applying Knowledge Transfer for Water Body Segmentation in Peru

Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran +2

In this work, we present the application of convolutional neural networks for segmenting water bodies in satellite images. We first use a variant of the U-Net model to segment rive…

cs.CV2019★ 3 cited

Joint Learning of Generative Translator and Classifier for Visually Similar Classes

ByungIn Yoo, Tristan Sylvain, Yoshua Bengio +1

In this paper, we propose a Generative Translation Classification Network (GTCN) for improving visual classification accuracy in settings where classes are visually similar and dat…