How To Read Research Papers

Algorithms for Optimizing Fleet Scheduling of Air Ambulances. (arXiv:2002.11710v1 [cs.AI])
Proper scheduling of air assets can be the difference between life and death for a patient. While poor scheduling can...

FedCoin: A Peer-to-Peer Payment System for Federated Learning. (arXiv:2002.11711v1 [cs.CR])
Federated learning (FL) is an emerging collaborative machine learning method to train models on distributed datasets with privacy concerns. To...

Trapping problem on star-type graphs with applications. (arXiv:2002.11713v1 [cs.DM])
The trapping problem on graph (or network) as a typical focus of great interest has attracted more attention from various...

Type-2 Fuzzy Set based Hesitant Fuzzy Linguistic Term Sets for Linguistic Decision Making. (arXiv:2002.11714v1 [cs.AI])
Approaches based on computing with words find good applicability in decision making systems. Predominantly finding their basis in type-1 fuzzy...

Modelisation de l'incertitude et de l'imprecision de donnees de crowdsourcing : MONITOR. (arXiv:2002.11717v1 [cs.AI])
Crowdsourcing is defined as the outsourcing of tasks to a crowd of contributors. The crowd is very diverse on these...

Structure-preserving Reduced Order Modeling of non-traditional Shallow Water Equation. (arXiv:2002.11719v1 [math.NA])
An energy preserving reduced order model is developed for the nontraditional shallow water equation (NTSWE) with full Coriolis force. The...

Conditional Sampling from Invertible Generative Models with Applications to Inverse Problems. (arXiv:2002.11743v1 [stat.ML])
We consider uncertainty aware compressive sensing when the prior distribution is defined by an invertible generative model. In this problem,...

Bulk-surface virtual element method for systems of coupled bulk-surface PDEs in two-space dimensions. (arXiv:2002.11748v1 [math.NA])
In this manuscript we present a novel bulk-surface virtual element method (BSVEM) for the numerical approximation of coupled systems of...

On Certifying Robustness against Backdoor Attacks via Randomized Smoothing. (arXiv:2002.11750v1 [cs.CR])
Backdoor attack is a severe security threat to deep neural networks (DNNs). We envision that, like adversarial examples, there will...

MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware. (arXiv:2002.11754v1 [cs.HC])
Neurophysiological studies are typically conducted in laboratories with limited ecological validity, scalability, and generalizability of findings. This is a significant...

DeC and ADER: Similarities, Differences and an Unified Framework. (arXiv:2002.11764v1 [math.NA])
In this paper, we demonstrate that the ADER approach as it is used inter alia in [1] can be seen...

Unifying susceptible-infected-recovered processes on networks. (arXiv:2002.11765v1 [physics.soc-ph])
Waiting times between two consecutive infection and recovery events in spreading processes are often assumed to be exponentially distributed, which...

Attacking Neural Text Detectors. (arXiv:2002.11768v1 [cs.CR])
Machine learning based language models have recently made significant progress, which introduces a danger to spread misinformation. To combat this...

Rethinking the Hyperparameters for Fine-tuning. (arXiv:2002.11770v1 [cs.CV])
Fine-tuning from pre-trained ImageNet models has become the de-facto standard for various computer vision tasks. Current practices for fine-tuning typically...

Distributed Cross-Blockchain Transactions. (arXiv:2002.11771v1 [cs.DB])
The interoperability across multiple or many blockchains would play a critical role in the forthcoming blockchain-based data management paradigm. In...

SACBP: Belief Space Planning for Continuous-Time Dynamical Systems via Stochastic Sequential Action Control. (arXiv:2002.11775v1 [math.OC])
We propose a novel belief space planning technique for continuous dynamics by viewing the belief system as a hybrid dynamical...

Knowledge Cores in Large Formal Contexts. (arXiv:2002.11776v1 [cs.AI])
Knowledge computation tasks are often infeasible for large data sets. This is in particular true when deriving knowledge bases in...

Black or White? How to Develop an AutoTuner for Memory-based Analytics [Extended Version]. (arXiv:2002.11780v1 [cs.DC])
There is a lot of interest today in building autonomous (or, self-driving) data processing systems. An emerging school of thought...

Towards Zero-shot Learning for Automatic Phonemic Transcription. (arXiv:2002.11781v1 [cs.CL])
Automatic phonemic transcription tools are useful for low-resource language documentation. However, due to the lack of training sets, only a...

3D Phase Retrieval at Nano-Scale via Accelerated Wirtinger Flow. (arXiv:2002.11785v1 [eess.IV])
Imaging 3D nano-structures at very high resolution is crucial in a variety of scientific fields. However, due to fundamental limitations...


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