How To Read Research Papers

Exploration of Visual Features and their weighted-additive fusion for Video Captioning. (arXiv:2101.05806v1 [cs.CV])
Video captioning is a popular task that challenges models to describe events in videos using natural language. In this work,...

A Machine-Learning Method for Time-Dependent Wave Equations over Unbounded Domains. (arXiv:2101.05807v1 [math.NA])
Time-dependent wave equations represent an important class of partial differential equations (PDE) for describing wave propagation phenomena, which are often...

Materials Fingerprinting Classification. (arXiv:2101.05808v1 [cond-mat.mtrl-sci])
Significant progress in many classes of materials could be made with the availability of experimentally-derived large datasets composed of atomic...

Numerical procedure for optimal control of hybrid systems with sliding modes, Part I. (arXiv:2101.05829v1 [math.OC])
This paper concerns the numerical procedure for solving hybrid optimal control problems with sliding modes. The proposed procedure has several...

Context-Aware Image Denoising with Auto-Threshold Canny Edge Detection to Suppress Adversarial Perturbation. (arXiv:2101.05833v1 [cs.CV])
This paper presents a novel context-aware image denoising algorithm that combines an adaptive image smoothing technique and color reduction techniques...

Physics-aware, probabilistic model order reduction with guaranteed stability. (arXiv:2101.05834v1 [stat.ML])
Given (small amounts of) time-series' data from a high-dimensional, fine-grained, multiscale dynamical system, we propose a generative framework for learning...

An adaptive finite element DtN method for the elastic wave scattering problem in three dimensions. (arXiv:2101.05835v1 [math.NA])
Consider the elastic scattering of an incident wave by a rigid obstacle in three dimensions, which is formulated as an...

A Neophyte With AutoML: Evaluating the Promises of Automatic Machine Learning Tools. (arXiv:2101.05840v1 [cs.LG])
This paper discusses modern Auto Machine Learning (AutoML) tools from the perspective of a person with little prior experience in...

Scaling the Convex Barrier with Active Sets. (arXiv:2101.05844v1 [cs.LG])
Tight and efficient neural network bounding is of critical importance for the scaling of neural network verification systems. A number...

How Shift Equivariance Impacts Metric Learning for Instance Segmentation. (arXiv:2101.05846v1 [cs.CV])
Metric learning has received conflicting assessments concerning its suitability for solving instance segmentation tasks. It has been dismissed as theoretically...

Unveiling the role of plasticity rules in reservoir computing. (arXiv:2101.05848v1 [nlin.AO])
Reservoir Computing (RC) is an appealing approach in Machine Learning that combines the high computational capabilities of Recurrent Neural Networks...

Continual Learning of Knowledge Graph Embeddings. (arXiv:2101.05850v1 [cs.RO])
In recent years, there has been a resurgence in methods that use distributed (neural) representations to represent and reason about...

A Subjective Model of Human Decision Making Based on Quantum Decision Theory. (arXiv:2101.05851v1 [cs.AI])
Computer modeling of human decision making is of large importance for, e.g., sustainable transport, urban development, and online recommendation systems....

Algorithmic Monoculture and Social Welfare. (arXiv:2101.05853v1 [cs.GT])
As algorithms are increasingly applied to screen applicants for high-stakes decisions in employment, lending, and other domains, concerns have been...

Preserving Privacy in Personalized Models for Distributed Mobile Services. (arXiv:2101.05855v1 [cs.DC])
The ubiquity of mobile devices has led to the proliferation of mobile services that provide personalized and context-aware content to...

GloBug: Using Global Data in Fault Localization. (arXiv:2101.05862v1 [cs.SE])
Fault Localization (FL) is an important first step in software debugging and is mostly manual in the current practice. Many...

Impact of Distributed Rate Limiting on Load Distribution in a Latency-sensitive Messaging Service. (arXiv:2101.05865v1 [cs.NI])
The cloud's flexibility and promise of seamless auto-scaling notwithstanding, its ability to meet service level objectives (SLOs) typically calls for...

Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features. (arXiv:2101.05866v1 [cs.LG])
Cancer is responsible for millions of deaths worldwide every year. Although significant progress hasbeen achieved in cancer medicine, many issues...

Technical Report: Rapid Reviews on Engineering of Internet of Things Software Systems. (arXiv:2101.05869v1 [cs.SE])
We conducted a set of Rapid Reviews to characterize Internet of Things facets. We formatted a generic meta-protocol that was...

Interpretable Multi-Head Self-Attention model for Sarcasm Detection in social media. (arXiv:2101.05875v1 [cs.CL])
Sarcasm is a linguistic expression often used to communicate the opposite of what is said, usually something that is very...


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