Publications associées (7)

Modeling Structured Data in Attention-based Models

Alireza Mohammadshahi

Natural language processing has experienced significant improvements with the development of Transformer-based models, which employ self-attention mechanism and pre-training strategies. However, these models still present several obstacles. A notable issue ...
EPFL2023

Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining

Yichen Xu, Qiang Liu, Feng Yu

Unsupervised graph representation learning aims to learn low-dimensional node embeddings without supervision while preserving graph topological structures and node attributive features. Previous Graph Neural Networks (GNN) require a large number of labeled ...
New York2023

Coordination of Dynamic Software Components with JavaBIP

Simon Bliudze, Anastasia Mavridou

JavaBIP allows the coordination of software components by clearly separating the functional and coordination aspects of the system behavior. JavaBIP implements the principles of the BIP component framework rooted in rigorous operational semantics. Recent w ...
Springer International Publishing2017

Macros in sbt: Problem Solved!

Eugene Burmako, Martin Nicolas Duhem

In the previous report, we described how incremental compilation was made more complicated when macro-enabled programs are involved, and we implemented the foundations of the support for metaprograms in sbt, a build tool and incremental compiler for Scala. ...
2015

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