How To Read Research Papers

Automated Environmental Compliance Monitoring with IoT and Open Government Data. (arXiv:2010.11945v1 [cs.CY])
Negative environmental impacts on societies and ecosystems are frequently driven by human activity and amplified by increasing climatic variability. Properly...

Prediction of Temperature and Rainfall in Bangladesh using Long Short Term Memory Recurrent Neural Networks. (arXiv:2010.11946v1 [cs.LG])
Temperature and rainfall have a significant impact on economic growth as well as the outbreak of seasonal diseases in a...

A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric. (arXiv:2010.11947v1 [cs.CL])
Balancing the privacy-utility tradeoff is a crucial requirement of many practical machine learning systems that deal with sensitive customer data....

Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data. (arXiv:2010.11966v1 [cs.CL])
Unsupervised Data Augmentation (UDA) is a semi-supervised technique that applies a consistency loss to penalize differences between a model's predictions...

Language Models are Open Knowledge Graphs. (arXiv:2010.11967v1 [cs.CL])
This paper shows how to construct knowledge graphs (KGs) from pre-trained language models (e.g., BERT, GPT-2/3), without human supervision. Popular...

Two-sample Test using Projected Wasserstein Distance: Breaking the Curse of Dimensionality. (arXiv:2010.11970v1 [stat.ML])
We develop a projected Wasserstein distance for the two-sample test, a fundamental problem in statistics and machine learning: given two...

Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising. (arXiv:2010.11971v1 [cs.CV])
Self-supervised frameworks that learn denoising models with merely individual noisy images have shown strong capability and promising performance in various...

Rediscovering the Slavic Continuum in Representations Emerging from Neural Models of Spoken Language Identification. (arXiv:2010.11973v1 [cs.CL])
Deep neural networks have been employed for various spoken language recognition tasks, including tasks that are multilingual by definition such...

GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Prevalence Visualization Design Space. (arXiv:2010.11975v1 [cs.HC])
Genomic Epidemiology (genEpi) is a branch of public health that uses many different data types including tabular, network, genomic, and...

Deep Convolutional Neural Networks Model-based Brain Tumor Detection in Brain MRI Images. (arXiv:2010.11978v1 [eess.IV])
Diagnosing Brain Tumor with the aid of Magnetic Resonance Imaging (MRI) has gained enormous prominence over the years, primarily in...

A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents. (arXiv:2010.11980v1 [cs.CL])
Keyphrase extraction is the task of extracting a small set of phrases that best describe a document. Most existing benchmark...

A novel auction system for selecting advertisements in Real-Time bidding. (arXiv:2010.11981v1 [cs.GT])
Real-Time Bidding is a new Internet advertising system that has become very popular in recent years. This system works like...

The Turking Test: Can Language Models Understand Instructions?. (arXiv:2010.11982v1 [cs.CL])
Supervised machine learning provides the learner with a set of input-output examples of the target task. Humans, however, can also...

Learnability and Complexity of Quantum Samples. (arXiv:2010.11983v1 [quant-ph])
Given a quantum circuit, a quantum computer can sample the output distribution exponentially faster in the number of bits than...

MTGAT: Multimodal Temporal Graph Attention Networks for Unaligned Human Multimodal Language Sequences. (arXiv:2010.11985v1 [cs.CL])
Human communication is multimodal in nature; it is through multiple modalities, i.e., language, voice, and facial expressions, that opinions and...

Meta-Learning for Domain Generalization in Semantic Parsing. (arXiv:2010.11988v1 [cs.CL])
The importance of building semantic parsers which can be applied to new domains and generate programs unseen at training has...

Locally Decodable/Correctable Codes for Insertions and Deletions. (arXiv:2010.11989v1 [cs.IT])
Recent efforts in coding theory have focused on building codes for insertions and deletions, called insdel codes, with optimal trade-offs...

Atlas Fusion -- Modern Framework for Autonomous Agent Sensor Data Fusion. (arXiv:2010.11991v1 [cs.RO])
In this paper, we present our new sensor fusion framework for self-driving cars and other autonomous robots. We have designed...

Unsupervised deep learning for grading of age-related macular degeneration using retinal fundus images. (arXiv:2010.11993v1 [cs.CV])
Many diseases are classified based on human-defined rubrics that are prone to bias. Supervised neural networks can automate the grading...

Thresholded LASSO Bandit. (arXiv:2010.11994v1 [stat.ML])
In this paper, we revisit sparse stochastic contextual linear bandits. In these problems, feature vectors may be of large dimension...


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