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Vision Transformer Adapters for Generalizable Multitask Learning

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Evaluating Attention Networks for Anaphora Resolution

Andrei Popescu-Belis, Nikolaos Pappas, Lesly Sadiht Miculicich Werlen

In this paper, we evaluate the results of using inter and intra attention mechanisms from two architectures, a Deep Attention Long Short-Term Memory-Network (LSTM-N) (Cheng et al., 2016) and a Decomposable Attention model (Parikh et al., 2016), for anaphor ...

Idiap2017

There is a trend towards increased specialization of data management software for performance reasons. The improved performance not only leads to a more efficient usage of the underlying hardware and cuts the operation costs of the system, but also is a ga ...

EPFL2017

We present an attention-based model that reasons on human body shape and motion dynamics to identify individuals in the absence of RGB information, hence in the dark. Our approach leverages unique 4D spatio-temporal signatures to address the identification ...

IEEE2016

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As data analytics is used by an increasing number of applications, data analytics engines are required to execute workloads with increased concurrency, i.e., an increasing number of clients submitting queries. Data management systems designed for data anal ...

2013

Sharing Data and Work Across Concurrent Analytical Queries

Anastasia Ailamaki, Manoussos Gavriil Athanassoulis, Iraklis Psaroudakis

Today's data deluge enables organizations to collect massive data, and analyze it with an ever-increasing number of concurrent queries. Traditional data warehouses (DW) face a challenging problem in executing this task, due to their query-centric model: ea ...

2013

The Transaction abstraction is arguably one of the most appealing middleware paradigms. It lies typically between the programmer of a concurrent or distributed application on the one hand, and the operating system with the underlying network on the other h ...

Springer-Verlag Berlin2011

Transactional memory (TM) has shown potential to simplify the task of writing concurrent programs. TM shifts the burden of managing concurrency from the programmer to the TM algorithm. The correctness of TM algorithms is generally proved manually. The goal ...

EPFL2010

Improving OLTP Concurrency through Early Lock Release

Anastasia Ailamaki, Frederick Ryan Johnson, Manoussos Gavriil Athanassoulis, Radu Ioan Stoica

Since the beginning of the multi-core era, database systems research has restarted focusing on increasing concurrency. Even though database systems have been able to accommodate concurrent requests, the exploding number of available cores per chip has surf ...

2009

Concurrency and dynamic protocol update for group communication middleware

Olivier Rütti

The last three decades have seen computers invading our society: computers are now present at work to improve productivity and at home to enlarge the scope of our hobbies and to communicate. Furthermore, computers have been involved in many critical system ...

EPFL2009

On the Correctness of Transactional Memory

Rachid Guerraoui, Michal Kapalka

Transactional memory (TM) is perceived as an appealing alternative to critical sections for general purpose concurrent programming. Despite the large amount of recent work on TM implementations, however, very little effort has been devoted to precisely def ...

2008