output
19992026
most citedDeep Learning in Neural Networks: An Overview

18.2k citations

Showing 2017Show all

6 papers · 1 filter

stat.ME2017★ 6 cited

Profile extrema for visualizing and quantifying uncertainties on excursion regions. Application to coastal flooding

Dario Azzimonti, David Ginsbourger, Jérémy Rohmer +1

We consider the problem of describing excursion sets of a real-valued function , i.e. the set of inputs where is above a fixed threshold. Such regions are hard to visualize…

cs.RO2017★ 96 cited

Learning Ground Traversability from Simulations

R. Omar Chavez-Garcia, Jerome Guzzi, Luca M. Gambardella +1

Mobile ground robots operating on unstructured terrain must predict which areas of the environment they are able to pass in order to plan feasible paths. We address traversability…

stat.ML2017★ 23 cited

Hierarchical Multinomial-Dirichlet model for the estimation of conditional probability tables

L. Azzimonti, G. Corani, M. Zaffalon

We present a novel approach for estimating conditional probability tables, based on a joint, rather than independent, estimate of the conditional distributions belonging to the sam…

cs.CV2017

Improving Speaker-Independent Lipreading with Domain-Adversarial Training

Michael Wand, Juergen Schmidhuber

We present a Lipreading system, i.e. a speech recognition system using only visual features, which uses domain-adversarial training for speaker independence. Domain-adversarial tra…

math.NA2017★ 9 cited

A constructive approach to Schaeffer's conjecture

Oleg Szehr, Rachid Zarouf

J.J. Schaeffer proved that for induced matrix norm and invertible the inequality \[\left|\det T\right|\left\Vert T^{-1}\right\Vert \leq\mathcal{S}\left\Vert T\…

cs.NE2017★ 1.6k cited

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Antti Tarvainen, Harri Valpola

The recently proposed Temporal Ensembling has achieved state-of-the-art results in several semi-supervised learning benchmarks. It maintains an exponential moving average of label…