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Concept

National Science Foundation Network

Publications associées (5)

Reinforced Attention for Few-Shot Learning and Beyond

Tong Zhang

Few-shot learning aims to correctly recognize query samples from unseen classes given a limited number of support samples, often by relying on global embeddings of images. In this paper, we propose to equip the backbone network with an attention agent, whi ...

IEEE COMPUTER SOC2021

Irreducible network backbones: unbiased graph filtering via maximum entropy

Alessio Vincenzo Cardillo

Networks provide an informative, yet non-redundant description of complex systems only if links represent truly dyadic relationships that cannot be directly traced back to node-specific properties such as size, importance, or coordinates in some embedding ...

2017

In-Network Packet Scheduling and Rate Allocation: A Content Delivery Perspective

We investigate two important problems in media delivery via active network agents. First, we consider streaming multiple video assets over a shared backbone network through an intermediate proxy-server to a set of receiving clients. The proxy is located at ...

2011

Robustness to failures in two-layer communication networks

Maciej Kurant

A close look at many existing systems reveals their two- or multi-layer nature, where a number of coexisting networks interact and depend on each other. For instance, in the Internet, any application-level graph (such as a peer-to-peer network) is mapped o ...

EPFL2009

A Reconfigurable Network-on-Chip Architecture for Optimal Multi-Processor SoC Communication

Giovanni De Micheli, David Atienza Alonso

Network-on-Chip (NoC) has emerged as a very promising paradigm for designing scalable communication architecture for Systems on Chips (SoCs). However, NoCs designed to fulfill the bandwidth requirements between the cores of an SoC for a certain set of runn ...

2010