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How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
Residual networks (ResNet) and weight normalization play an important ro...
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On the Resilience of Deep Learning for Reduced-voltage FPGAs
Deep Neural Networks (DNNs) are inherently computation-intensive and als...
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Importance Weighted Evolution Strategies
Evolution Strategies (ES) emerged as a scalable alternative to popular R...
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RVOS: End-to-End Recurrent Network for Video Object Segmentation
Multiple object video object segmentation is a challenging task, special...
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MetH: A family of high-resolution and variable-shape image challenges
High-resolution and variable-shape images have not yet been properly add...
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Full-Network Embedding in a Multimodal Embedding Pipeline
The current state-of-the-art for image annotation and image retrieval ta...
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On the Behavior of Convolutional Nets for Feature Extraction
Deep neural networks are representation learning techniques. During trai...
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Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Recurrent Neural Networks (RNNs) continue to show outstanding performanc...
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More cat than cute? Interpretable Prediction of Adjective-Noun Pairs
The increasing availability of affect-rich multimedia resources has bols...
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Disentangling Motion, Foreground and Background Features in Videos
This paper introduces an unsupervised framework to extract semantically ...
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A Visual Embedding for the Unsupervised Extraction of Abstract Semantics
Vector-space word representations obtained from neural network models ha...
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Limitations and Alternatives for the Evaluation of Large-scale Link Prediction
Link prediction, the problem of identifying missing links among a set of...
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Hierarchical Object Detection with Deep Reinforcement Learning
We present a method for performing hierarchical object detection in imag...
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From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction
Visual multimedia have become an inseparable part of our digital social ...
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A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices
We present the submatrix method, a highly parallelizable method for the ...
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Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory
The emergence of Next Generation Sequencing (NGS) platforms has increase...
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Weighted Contrastive Divergence
Learning algorithms for energy based Boltzmann architectures that rely o...
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Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
Adaptive Computation Time for Recurrent Neural Networks (ACT) is one of ...
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A Visual Distance for WordNet
Measuring the distance between concepts is an important field of study o...
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Performance Evaluation of an Algorithm-based Asynchronous Checkpoint-Restart Fault Tolerant Application Using Mixed MPI/GPI-2
One of the hardest challenges of the current Big Data landscape is the l...
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PETGEM: A parallel code for 3D CSEM forward modeling using edge finite elements
We present the capabilities and results of the Parallel Edge-based Tool ...
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AutoParallel: A Python module for automatic parallelization and distributed execution of affine loop nests
The last improvements in programming languages, programming models, and ...
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Integrating Blocking and Non-Blocking MPI Primitives with Task-Based Programming Models
In this paper we present the Task-Aware MPI library (TAMPI) that integra...
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BVS Corpus: A Multilingual Parallel Corpus of Biomedical Scientific Texts
The BVS database (Health Virtual Library) is a centralized source of bio...
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Resource-aware Elastic Swap Random Forest for Evolving Data Streams
Continual learning based on data stream mining deals with ubiquitous sou...
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Exploiting nested task-parallelism in the ℋ-LU factorization
We address the parallelization of the LU factorization of hierarchical m...
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Application-Level Differential Checkpointing for HPC Applications with Dynamic Datasets
High-performance computing (HPC) requires resilience techniques such as ...
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Feature discriminativity estimation in CNNs for transfer learning
The purpose of feature extraction on convolutional neural networks is to...
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Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning
We present a classical control mechanism for Quantum devices using Reinf...
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Random Forest as a Tumour Genetic Marker Extractor
Finding tumour genetic markers is essential to biomedicine due to their ...
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HDOT – an Approach Towards Productive Programming of Hybrid Applications
MPI applications matter. However, with the advent of many-core processor...
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Holistic Slowdown Driven Scheduling and Resource Management for Malleable Jobs
In job scheduling, the concept of malleability has been explored since m...
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Toward An Interdisciplinary Methodology to Solve New (Old) Transportation Problems
The rising availability of digital traces provides a fertile ground for ...
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Measuring Spatial Subdivisions in Urban Mobility with Mobile Phone Data
Urban population grows constantly. By 2050 two thirds of the world popul...
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Reducing Data Motion to Accelerate the Training of Deep Neural Networks
This paper reduces the cost of DNNs training by decreasing the amount of...
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A Linux Kernel Scheduler Extension for Multi-core Systems
The Linux kernel is mostly designed for multi-programed environments, bu...
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Covid-19 and contact tracing apps: A review under the European legal framework
In this article, we would like to review the main technologies that have...
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DMR API: Improving cluster productivity by turning applications into malleable
Adaptive workloads can change on–the–fly the configuration of their jobs...
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MPI+OpenMP Tasking Scalability for Multi-Morphology Simulations of the Human Brain
The simulation of the behavior of the human brain is one of the most amb...
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Every Colour You Are: Stance Prediction and Turnaround in Controversial Issues
Web platforms have allowed political manifestation and debate for decade...
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HPC compact quasi-Newton algorithm for interface problems
In this work we present a robust interface coupling algorithm called Com...
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The Impact of COVID-19 on Flight Networks
As COVID-19 transmissions spread worldwide, governments have announced a...
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Workflow environments for advanced cyberinfrastructure platforms
Progress in science is deeply bound to the effective use of high-perform...
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Multi-tenant Pub/Sub Processing for Real-time Data Streams
Devices and sensors generate streams of data across a diversity of locat...
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Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU
In this paper, we analyze the performance and energy consumption of an A...
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A Closer Look at Art Mediums: The MAMe Image Classification Dataset
Art is an expression of human creativity, skill and technology. An excep...
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Heterogeneous CPU/GPU co-execution of CFD simulations on the POWER9 architecture: Application to airplane aerodynamics
High fidelity Computational Fluid Dynamics simulations are generally ass...
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Asynchronous Runtime with Distributed Manager for Task-based Programming Models
Parallel task-based programming models, like OpenMP, allow application d...
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On the Applicability of PEBS based Online Memory Access Tracking for Heterogeneous Memory Management at Scale
Operating systems have historically had to manage only a single type of ...
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Resource Analysis of Ethereum 2.0 Clients
Scalability is a common issue among the most used permissionless blockch...
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