261 citations
- ETH ZurichCH12 papers
- Walt Disney (United States)US5 papers
- Adobe Systems (United States)US2 papers
- Beihang UniversityCN2 papers
- University of Southern CaliforniaUS2 papers
- University of WaterlooCA2 papers
- University of Wisconsin–MadisonUS2 papers
- Aristotle University of ThessalonikiGR1 paper
- Coventry UniversityGB1 paper
- École de Technologie SupérieureCA1 paper
- Fraunhofer Institute for Computer Graphics ResearchDE1 paper
- German Research Centre for Artificial IntelligenceDE1 paper
Showing 2017Show all
2 papers · 1 filter
stat.ML2017★ 7 cited
Preserving Differential Privacy Between Features in Distributed Estimation
Christina Heinze-Deml, Brian McWilliams, Nicolai Meinshausen
Privacy is crucial in many applications of machine learning. Legal, ethical and societal issues restrict the sharing of sensitive data making it difficult to learn from datasets th…
cs.NE2017★ 96 cited
The Shattered Gradients Problem: If resnets are the answer, then what is the question?
David Balduzzi, Marcus Frean, Lennox Leary +3
A long-standing obstacle to progress in deep learning is the problem of vanishing and exploding gradients. Although, the problem has largely been overcome via carefully constructed…