Concept

Encoding (memory)

Related publications (187)

CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model

Continuous Bag of Words (CBOW) is a powerful text embedding method. Due to its strong capabilities to encode word content, CBOW embeddings perform well on a wide range of downstream tasks while being efficient to compute. However, CBOW is not capable of ca ...

Idiap2019

Design Analysis of a Shape Memory Alloy Bias-Spring Linear Actuator

Yves Perriard, Morgan Almanza, Sean Thomas

This paper aims to adapt the well established Brinson model for the thermoelastic behaviour of the Shape Memory Effect (SME) so as to compare it to a custom shape memory material modelled using an finite element modelling software. In this work, the Brinso ...

IEEE2019

Underlying mechanisms of episodic autobiographical memory and self-consciousness

Lucie Bréchet

Cognitive neuroscience has been examining consciousness associated with the subject, that is the self of the conscious experience and its related multisensory processing of bodily signals, the so-called bodily self-consciousness. Different line of research ...

EPFL2019

Context-Aware Emotion Recognition Networks

Seungryong Kim, Jiyoung Lee

Traditional techniques for emotion recognition have focused on the facial expression analysis only, thus providing limited ability to encode context that comprehensively represents the emotional responses. We present deep networks for context-aware emotion ...

IEEE2019

Long-term verbal memory deficit and associated hippocampal alterations in 22q11.2 deletion syndrome

Maude Schneider

Chromosome 22q11.2 deletion syndrome (22q11.2DS) is a genetic disease associated with an increased risk for schizophrenia and a specific cognitive profile. In this paper, we challenge the current view of spared verbal memory in 22q11.2DS by investigating v ...

2019

Extreme Scalability of DFT-Based QM/MM MD Simulations Using MiMiC

Ursula Röthlisberger, Simone Meloni, Martin Peter Bircher, Viacheslav Bolnykh, Jógvan Magnus Olsen, Paolo Carloni

We present a highly scalable DFT-based QM/MM implementation developed within MiMiC, a recently introduced multiscale modeling framework that uses a loose-coupling strategy in conjunction with a multiple-program multiple-data (MPMD) approach. The computatio ...

2019

Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments

Open-ended learning environments (OELEs) allow students to freely interact with the content and to discover important principles and concepts of the learning domain on their own. However, only some students possess the necessary skills for efficient and ef ...

International Educational Data Mining Society2019

A phase-change memory model for neuromorphic computing

Irem Boybat Kara, Evangelos Eleftheriou, Abu Sebastian

Phase-change memory (PCM) is an emerging non-volatile memory technology that is based on the reversible and rapid phase transition between the amorphous and crystalline phases of certain phase-change materials. The ability to alter the conductance levels i ...

AMER INST PHYSICS2018

Audio-visual sensory deprivation degrades visuo-tactile peri-personal space

Olaf Blanke, Hervé Lissek, Andrea Serino, Jean-Paul Noel, Hyeongdong Park, Isabella Maria Pasqualini

Self-perception is scaffolded upon the integration of multisensory cues on the body, the space surrounding the body (i.e., the peri-personal space; PPS), and from within the body. We asked whether reducing information available from external space would ch ...

2018

Mixed-precision architecture based on computational memory for training deep neural networks

Irem Boybat Kara, Evangelos Eleftheriou, Abu Sebastian

Deep neural networks (DNN) have revolutionized the field of machine learning by providing unprecedented human-like performance in solving many real-world problems such as image or speech recognition. Training of large DNNs, however, is a computationally in ...

IEEE2018

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