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VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions

Authors:  StefanosAntaris, DimitriosRafailidis....
Published date-11/11/2020
GCN
Graph Models
Tasks:  GraphRepresentationLearning, LinkPrediction, RepresentationLearning

Abstract: Live video streaming has become a mainstay as a standard communication solution for several enterprises worldwide. To efficiently stream high-quality live video content to a large amount of offices, companies …
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Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation

Authors:  StefanosAntaris, DimitriosRafailidis....
Published date-11/11/2020
Tasks:  GraphRepresentationLearning, LinkPrediction, RepresentationLearning

Abstract: Dynamic graph representation learning strategies are based on different neural architectures to capture the graph evolution over time. However, the underlying neural architectures require a large amount of parameters to …
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EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events

Authors:  StefanosAntaris, DimitriosRafailidis, SarunasGirdzijauskas....
Published date-11/11/2020
Tasks:  GraphRepresentationLearning, LinkPrediction, RepresentationLearning

Abstract: In this study, we present a dynamic graph representation learning model on weighted graphs to accurately predict the network capacity of connections between viewers in a live video streaming event. …
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Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions

Authors:  YanboXu, DivyatMahajan, LizManrao....
Published date-11/11/2020
Causal Inference
Optimization
Tasks:  CausalInference

Abstract: For many kinds of interventions, such as a new advertisement, marketing intervention, or feature recommendation, it is important to target a specific subset of people for maximizing its benefits at …
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FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology

Authors:  AndréPedersen, MaritValla, AnnaM.Bofin....
Published date-11/11/2020

Abstract: Deep convolutional neural networks (CNNs) are the current state-of-the-art for digital analysis of histopathological images. The large size of whole-slide microscopy images (WSIs) requires advanced memory handling to read, display …
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Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers

Authors:  AntoineProuvost, JustinDumouchelle, LaraScavuzzo....
Published date-11/11/2020
Tasks:  CombinatorialOptimization, OpenAIGym

Abstract: We present Ecole, a new library to simplify machine learning research for combinatorial optimization. Ecole exposes several key decision tasks arising in general-purpose combinatorial optimization solvers as control problems over …
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