Related publications (11)

Semantic Attribute Matching Networks

Seungryong Kim

We present semantic attribute matching networks (SAM-Net) for jointly establishing correspondences and transferring attributes across semantically similar images, which intelligently weaves the advantages of the two tasks while overcoming their limitations ...
IEEE2019

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Edo Collins

With ever greater computational resources and more accessible software, deep neural networks have become ubiquitous across industry and academia. Their remarkable ability to generalize to new samples defies the conventional view, which holds that complex, ...
EPFL2019

Character-level Chinese-English Translation through ASCII Encoding

Mi Xue Tan

Character-level Neural Machine Translation(NMT) models have recently achieved impressive results on many language pairs. They mainly do well for Indo-European language pairs, where the languages share the same writing system. However, for translating betwe ...
Association for Computational Linguistics2018

Word Embeddings for Natural Language Processing

Rémi Philippe Lebret

Word embedding is a feature learning technique which aims at mapping words from a vocabulary into vectors of real numbers in a low-dimensional space. By leveraging large corpora of unlabeled text, such continuous space representations can be computed for c ...
EPFL2016

Building Word Embeddings for Solving Natural Language Processing

Rémi Philippe Lebret

Word embedding is a feature learning technique which aims at mapping words from a vocabulary into vectors of real numbers in a low-dimensional space. By leveraging large corpora of unlabeled text, such continuous space representations can be computed for c ...
École Polytechnique Fédérale de Lausanne2016

A Survey of Semantic Based Peer-to-Peer Systems

This paper makes a step in identifying the state of the art in semantic P2P systems. On one hand, lot of research in the P2P systems community has focused on fault-tolerance and scalability, resulting in numberous algorithms, systems such as Chord, Pastry ...
2007

Start making sense: The Chatty Web approach for global semantic agreements

Karl Aberer, Manfred Hauswirth, Philippe Cudré-Mauroux

This paper describes a novel approach for obtaining semantic interoperability among data sources in a bottom-up, semi-automatic manner without relying on pre-existing, global semantic models. We assume that large amounts of data exist that have been organi ...
2003

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