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FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

Authors:  ZhuoZheng, YanfeiZhong, AilongMa....
Published date-11/11/2020
FCN
Semantic Segmentation Models
Tasks:  HyperspectralImageClassification, ImageClassification

Abstract: Deep learning techniques have provided significant improvements in hyperspectral image (HSI) classification. The current deep learning based HSI classifiers follow a patch-based learning framework by dividing the image into overlapping …
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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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Finding Relevant Flood Images on Twitter using Content-based Filters

Authors:  BjörnBarz, KaiSchröter, Ann-ChristinKra....
Published date-11/11/2020

Abstract: The analysis of natural disasters such as floods in a timely manner often suffers from limited data due to coarsely distributed sensors or sensor failures. At the same time, a …
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Multi-Label Classification Using Link Prediction

Authors:  SeyedAminFadaee, MaryamAmirHaeri....
Published date-11/11/2020
Tasks:  LinkPrediction, Multi-LabelClassification

Abstract: Solving classification with graph methods has gained huge popularity in recent years. This is due to the fact that the data can be intuitively modeled with graphs to utilize high …
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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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Complex reaction processes in combustion unraveled by neural network-based molecular dynamics simulation

Authors:  JinzheZeng, LiqunCao, MingyuanXu....
Published date-11/11/2020

Abstract: Combustion is a complex chemical system which involves thousands of chemical reactions and generates hundreds of molecular species and radicals during the process. In this work, a neural network-based molecular …
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