Thread by @stephenwithavee

Time for #PapersThatMakeYouGoHmmm! A weekly summary of new ML papers from arXiv that make me think one or more of:

1. That looks useful!
2. That's an interesting approach!
3. A business could be built around this!
4. How did they do that?!

Investors Embrace Gender Diversity, Not Female CEOs: The Role of Gender in Startup Fundraising

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Deep ReLU Network Expression Rates for Option Prices in high-dimensional, exponential Lévy models

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Modeling surrender risk in life insurance: theoretical and experimental insight

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Current and Emergent Economic Impacts of Covid-19 and Brexit on UK Fresh Produce and Horticultural Businesses

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Optimal Bundling: Characterization, Interpretation, and Implications for Empirical Work

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The Impact of Privacy Laws on Online User Behavior

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Four Ways to Scale Up: Smart, Dumb, Forced, and Fumbled

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Understanding the uneven spread of COVID-19 in the context of the global interconnected economy

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A Balance for Fairness: Fair Distribution Utilising Physics in Games of Characteristic Function Form

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Hiding Behind Machines: When Blame Is Shifted to Artificial Agents

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Absolute Value Constraint: The Reason for Invalid Performance Evaluation Results of Neural Network Models for Stock Price Prediction

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The Market Measure of Carbon Risk and its Impact on the Minimum Variance Portfolio

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Exploring the Complicated Relationship Between Patents and Standards, With a Particular Focus on the Telecommunications Sector

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How COVID-19 influences healthcare workers' happiness: Panel data analysis in Japan

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Identifying and Estimating Perceived Returns to Binary Investments

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Pricing Financial Derivatives with Exponential Quantum Speedup

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The Role of Cost in the Integration of Security Features in Integrated Circuits for Smart Cards

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Optimal Trading with Signals and Stochastic Price Impact

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Political Regime and COVID 19 death rate: efficient, biasing or simply different autocracies ?

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Optimal investment in illiquid market with search frictions and transaction costs

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Solving optimal stopping problems with Deep Q-Learning

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Unraveling S&P500 stock volatility and networks -- An encoding and decoding approach

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Is the Capability approach a useful tool for decision aiding in public policy making?

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Pricing Energy Storage in Real-time Market

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Beyond cost reduction: Improving the value of energy storage in electricity systems

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Unveiling Spatial Patterns of Disaster Impacts and Recovery Using Credit Card Transaction Variances

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Extensive networks would eliminate the demand for pricing formulas

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Analysis of stock index with a generalized BN-S model: an approach based on machine learning and fuzzy parameters

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How does COVID-19 change insurance and vaccine demand? Evidence from short-panel data in Japan

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Nine Challenges in Modern Algorithmic Trading and Controls

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Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits

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Graphical Models for Financial Time Series and Portfolio Selection

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Probabilistic Framework For Loss Distribution Of Smart Contract Risk

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Embedding Symbolic Temporal Knowledge into Deep Sequential Models

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Disembodied Machine Learning: On the Illusion of Objectivity in NLP

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Strategic Argumentation Dialogues for Persuasion: Framework and Experiments Based on Modelling the Beliefs and Concerns of the Persuadee

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A Taxonomy of Explainable Bayesian Networks

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Playable Video Generation

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A Survey on Personality-Aware Recommendation Systems

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Adversarial Machine Learning Attacks on Condition-Based Maintenance Capabilities

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Increasing the Confidence of Deep Neural Networks by Coverage Analysis

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S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training

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Robust Android Malware Detection System against Adversarial Attacks using Q-Learning

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Baseline Pruning-Based Approach to Trojan Detection in Neural Networks

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Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions

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Identifying COVID-19 Fake News in Social Media

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Deep learning via LSTM models for COVID-19 infection forecasting in India

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Making Responsible AI the Norm rather than the Exception

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Moral and Social Ramifications of Autonomous Vehicles

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BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

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Knowledge-driven Natural Language Understanding of English Text and its Applications

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CNN with large memory layers

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Evolution of artificial intelligence languages, a systematic literature review

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Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders

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Bottleneck Transformers for Visual Recognition

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The Work of Art in an Age of Mechanical Generation

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Detecting Deepfake Videos Using Euler Video Magnification

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Modelling the Impact of Scandals: the case of the 2017 French Presidential Election

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Meta Adversarial Training

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Using Finite-State Machines to Automatically Scan Classical Greek Hexameter

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Online LDA based brain-computer interface system to aid disabled people

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TSQA: Tabular Scenario Based Question Answering

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Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion

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TorchPRISM: Principal Image Sections Mapping, a novel method for Convolutional Neural Network features visualization

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Modeling opinion leader's role in the diffusion of innovation

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LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction

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Graph Neural Network for Traffic Forecasting: A Survey

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Autonomous Off-road Navigation over Extreme Terrains with Perceptually-challenging Conditions

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Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings

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Towards Entity Alignment in the Open World: An Unsupervised Approach

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Predicting the future with a scale-invariant temporal memory for the past

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Multimedia Respiratory Database (RespiratoryDatabase@TR): Auscultation Sounds and Chest X-rays

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I Beg to Differ: A study of constructive disagreement in online conversations

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Artificial Intelligence for Satellite Communication: A Review

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B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflows

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On managing vulnerabilities in AI/ML systems

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Indoor Group Activity Recognition using Multi-Layered HMMs

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Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face Recognition

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Generative Adversarial Network using Perturbed-Convolutions

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Toxicity Detection in Drug Candidates using Simplified Molecular-Input Line-Entry System

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Impact of Explanation on Trust of a Novel Mobile Robot

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The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards

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Developing emotion recognition for video conference software to support people with autism

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Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising

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Introducing and assessing the explainable AI (XAI)method: SIDU

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SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models

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Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks

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Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting

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Learning to falsify automated driving vehicles with prior knowledge

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RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition

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Deep Learning for General Game Playing with Ludii and Polygames

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Explainable Artificial Intelligence Approaches: A Survey

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Theory of Mind for Deep Reinforcement Learning in Hanabi

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Transferable Interactiveness Knowledge for Human-Object Interaction Detection

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A scalable approach for developing clinical risk prediction applications in different hospitals

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Superiorities of Deep Extreme Learning Machines against Convolutional Neural Networks

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Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis

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Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application

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Universal Approximation Properties for ODENet and ResNet

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Analysis of Relation between Motor Activity and Imaginary EEG Records

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Obsolete Personal Information Update System for the Prevention of Falls among Elderly Patients

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Personalized Education in the AI Era: What to Expect Next?

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Modern Techniques for Ancient Games

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Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning

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A Review of Graph Neural Networks and Their Applications in Power Systems

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Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity

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Activation Functions in Artificial Neural Networks: A Systematic Overview

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Generalizing Adversarial Examples by AdaBelief Optimizer

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Neuromorphic adaptive spiking CPG towards bio-inspired locomotion of legged robots

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Medical Information Retrieval and Interpretation: A Question-Answer based Interaction Model

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Explanation as a Defense of Recommendation

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Symbiotic System Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms

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Neural Relational Inference with Efficient Message Passing Mechanisms

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ARTH: Algorithm For Reading Text Handily -- An AI Aid for People having Word Processing Issues

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Towards Natural Language Question Answering over Earth Observation Linked Data using Attention-based Neural Machine Translation

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Machine Learning Based Early Fire Detection System using a Low-Cost Drone

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Censorship of Online Encyclopedias: Implications for NLP Models

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Chemistry42: An AI-based platform for de novo molecular design

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Artificial intelligence prediction of stock prices using social media

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Deepfakes and the 2020 US elections: what (did not) happen

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The Next Decade of Telecommunications Artificial Intelligence

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Selfish Sparse RNN Training

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tf.data: A Machine Learning Data Processing Framework

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An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms

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A Fully Rigorous Proof of the Derivation of Xavier and He's Initialization for Deep ReLU Networks

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Machine learning for cloud resources management -- An overview

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A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data

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Self-supervised Cross-silo Federated Neural Architecture Search

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The Hidden Tasks of Generative Adversarial Networks: An Alternative Perspective on GAN Training

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Improving Neural Network Robustness through Neighborhood Preserving Layers

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TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models

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Neural Particle Image Velocimetry

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Choice modelling in the age of machine learning

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Approximation with Tensor Networks. Part III: Multivariate Approximation

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Detecting Malicious Accounts showing Adversarial Behavior in Permissionless Blockchains

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Development of a Vertex Finding Algorithm using Recurrent Neural Network

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Interpolating Classifiers Make Few Mistakes

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Neural networks for Anatomical Therapeutic Chemical (ATC)

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G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification

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Efficient Graph Deep Learning in TensorFlow with tf_geometric

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Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines

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An explainable Transformer-based deep learning model for the prediction of incident heart failure

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Decision Machines: Interpreting Decision Tree as a Model Combination Method

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OffCon$^3$: What is state of the art anyway?

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Safe Multi-Agent Reinforcement Learning via Shielding

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A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory

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Effects of Image Size on Deep Learning

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Low-skilled Occupations Face the Highest Re-skilling Pressure

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Medical Segment Coloring of Clinical Notes

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Denoising Single Voxel Magnetic Resonance Spectroscopy with Deep Learning on Repeatedly Sampled In Vivo Data

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Transformer-Based Models for Question Answering on COVID19

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An Explainable CNN Approach for Medical Codes Prediction from Clinical Text

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KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding

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Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors

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FDApy: a Python package for functional data

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QFold: Quantum Walks and Deep Learning to Solve Protein Folding

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SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups

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Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison

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Incremental Search Space Construction for Machine Learning Pipeline Synthesis

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Variational Information Bottleneck Model for Accurate Indoor Position Recognition

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A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design

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Modern Machine and Deep Learning Systems as a way to achieve Man-Computer Symbiosis

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Finding hidden-feature depending laws inside a data set and classifying it using Neural Network

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Spectrum Attention Mechanism for Time Series Classification

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Introducing a Central African Primate Vocalisation Dataset for Automated Species Classification

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Curriculum Learning: A Survey

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Tell Me Who Your Friends Are: Using Content Sharing Behavior for News Source Veracity Detection

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EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification

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Maximum n-times Coverage for COVID-19 Vaccine Design

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A Raspberry Pi based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram

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Revisiting Locally Supervised Learning: an Alternative to End-to-end Training

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ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease

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Exploring Transfer Learning on Face Recognition of Dark Skinned, Low Quality and Low Resource Face Data

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Leveraging 3D Information in Unsupervised Brain MRI Segmentation

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A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction

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Ear Recognition

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Continual Learning of Visual Concepts for Robots through Limited Supervision

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Towards glass-box CNNs

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Learning-'N-Flying: A Learning-based, Decentralized Mission Aware UAS Collision Avoidance Scheme

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Revisiting Linformer with a modified self-attention with linear complexity

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COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms

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Incorporating Expert Guidance in Epidemic Forecasting

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Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews

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AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence

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Short-term daily precipitation forecasting with seasonally-integrated autoencoder

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Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art

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MinConvNets: A new class of multiplication-less Neural Networks

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Feature Selection Using Reinforcement Learning

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A Comprehensive Survey on Hardware-Aware Neural Architecture Search

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Performance Evaluation of Convolutional Neural Networks for Gait Recognition

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Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey

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Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study

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GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial Networks

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3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware

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A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms

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E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach -- A Case Study

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NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy

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DenseNet for Breast Tumor Classification in Mammographic Images

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SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees

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Machine Learning in LiDAR 3D point clouds

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Safe Learning Reference Governor for Constrained Systems with Application to Fuel Truck Rollover Avoidance

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Predicting Autism Spectrum Disorder Using Machine Learning Classifiers

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Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions

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Adaptive Neighbourhoods for the Discovery of Adversarial Examples

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PyGlove: Symbolic Programming for Automated Machine Learning

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Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning

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Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS

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Streaming Models for Joint Speech Recognition and Translation

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Will Artificial Intelligence supersede Earth System and Climate Models?

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A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization

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Lexical semantic change for Ancient Greek and Latin

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Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements

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A Two-stream Neural Network for Pose-based Hand Gesture Recognition

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A Two-Stage Deep Learning Detection Classifier for the ATLAS Asteroid Survey

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Applications of artificial intelligence in drug development using real-world data

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Generative Replay-based Continual Zero-Shot Learning

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