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?!

Portfolio Performance Attribution via Shapley Value

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Dynamic Structural Impact of the COVID-19 Outbreak on the Stock Market and the Exchange Rate: A Cross-country Analysis Among BRICS Nations

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Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment

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Combination of window-sliding and prediction range method based on LSTM model for predicting cryptocurrency

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A Bonus-Malus Framework for Cyber Risk Insurance and Optimal Cybersecurity Provisioning

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Gendered impact of COVID-19 pandemic on research production: a cross-country analysis

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Wavelet Denoised-ResNet CNN and LightGBM Method to Predict Forex Rate of Change

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Liquidation, Leverage and Optimal Margin in Bitcoin Futures Markets

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Cyber Risk in Health Facilities: A Systematic Literature Review

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Increasing the price of a university degree does not significantly affect enrolment if income contingent loans are available: evidence from HECS in Australia

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Variational Autoencoders: A Hands-Off Approach to Volatility

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Mobility-based contact exposure explains the disparity of spread of COVID-19 in urban neighborhoods

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A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management

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Econometric model of children participation in family dairy farming in the center of dairy farming, West Java Province, Indonesia

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When to Quit Gambling, if You Must!

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Does Collateral Value Affect Asset Prices? Evidence from a Natural Experiment in Texas

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How the Massachusetts Assault Weapons Ban Enforcement Notice Changed Firearm Sales

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Liquidity Stress Testing using Optimal Portfolio Liquidation

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A Metamodel and Framework for Artificial General Intelligence From Theory to Practice

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Sufficiently Accurate Model Learning for Planning

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Testing Framework for Black-box AI Models

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Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM

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Artificial Intelligence based Autonomous Molecular Design for Medical Therapeutic: A Perspective

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Feature Selection for Multivariate Time Series via Network Pruning

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Reinforcement Learning For Constraint Satisfaction Game Agents (15-Puzzle, Minesweeper, 2048, and Sudoku)

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Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak

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DirectDebug: Automated Testing and Debugging of Feature Models

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Using Machine Intelligence to Prioritise Code Review Requests

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CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions

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Reproducibility Report: La-MAML: Look-ahead Meta Learning for Continual Learning

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Representation Matters: Offline Pretraining for Sequential Decision Making

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Customizing Contextualized Language Models forLegal Document Reviews

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Artificial intelligence in communication impacts language and social relationships

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Derivative-Free Reinforcement Learning: A Review

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DANTE: Predicting Insider Threat using LSTM on system logs

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Classification of Long Noncoding RNA Elements Using Deep Convolutional Neural Networks and Siamese Networks

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A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit

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On the Properties of Kullback-Leibler Divergence Between Gaussians

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Multi-turn Dialogue Reading Comprehension with Pivot Turns and Knowledge

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The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions

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Civil Rephrases Of Toxic Texts With Self-Supervised Transformers

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Two Novel Performance Improvements for Evolving CNN Topologies

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Student sentiment Analysis Using Classification With Feature Extraction Techniques

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Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach

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CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection

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Hybrid In-memory Computing Architecture for the Training of Deep Neural Networks

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Decontextualization: Making Sentences Stand-Alone

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AuGPT: Dialogue with Pre-trained Language Models and Data Augmentation

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Negative Data Augmentation

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Principles of Explanation in Human-AI Systems

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The Factory Must Grow: Automation in Factorio

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Interrogating the Black Box: Transparency through Information-Seeking Dialogues

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A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks

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SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks

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Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19

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Hallmarks of Human-Machine Collaboration: A framework for assessment in the DARPA Communicating with Computers Program

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On permutation invariant training for speech source separation

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Sparsification via Compressed Sensing for Automatic Speech Recognition

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rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks

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AI-based Blackbox Code Deobfuscation: Understand, Improve and Mitigate

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Distribution Adaptive INT8 Quantization for Training CNNs

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Improving Visual Reasoning by Exploiting The Knowledge in Texts

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Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots

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End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving

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AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units

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Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers

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CorrDetector: A Framework for Structural Corrosion Detection from Drone Images using Ensemble Deep Learning

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Security and Privacy for Artificial Intelligence: Opportunities and Challenges

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Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach

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Benford's law: what does it say on adversarial images?

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Regularized Generative Adversarial Network

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Synthesizing Skeletal Motion and Physiological Signals as a Function of a Virtual Human's Actions and Emotions

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Playing the Blame Game with Robots

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A modular framework for extreme weather generation

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Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface

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Perception and Acceptance of an Autonomous Refactoring Bot

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Neurogenetic Programming Framework for Explainable Reinforcement Learning

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Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs)

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Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles

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Colorization Transformer

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Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack

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Unlocking Pixels for Reinforcement Learning via Implicit Attention

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Generating Fake Cyber Threat Intelligence Using Transformer-Based Models

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High-level Approaches to Detect Malicious Political Activity on Twitter

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Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities

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AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks

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A Data-Driven Approach to Violin Making

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HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data

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Riiid! Answer Correctness Prediction Kaggle Challenge: 4th Place Solution Summary

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Convolutional Neural Network Interpretability with General Pattern Theory

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Social determinants of health in the era of artificial intelligence with electronic health records: A systematic review

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Guilty Artificial Minds

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Transforming India's Agricultural Sector using Ontology-based Tantra Framework

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How Pandemic Spread in News: Text Analysis Using Topic Model

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Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems

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Plotting time: On the usage of CNNs for time series classification

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Improving Artificial Teachers by Considering How People Learn and Forget

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The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness

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Generate and Revise: Reinforcement Learning in Neural Poetry

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STAN: Spatio-Temporal Attention Network for Next Location Recommendation

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An Update of a Progressively Expanded Database for Automated Lung Sound Analysis

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LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search

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DEFT: Distilling Entangled Factors

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Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning

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Extracting the Locus of Attention at a Cocktail Party from Single-Trial EEG using a Joint CNN-LSTM Model

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"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups

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MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

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A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring

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FFConv: Fast Factorized Neural Network Inference on Encrypted Data

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Hyperparameter Tricks in Multi-Agent Reinforcement Learning: An Empirical Study

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BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices

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Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles

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Robust Single-step Adversarial Training with Regularizer

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"I Don't Think So": Disagreement-Based Policy Summaries for Comparing Agents

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Understanding Emails and Drafting Responses -- An Approach Using GPT-3

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Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning

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ChainCQG: Flow-Aware Conversational Question Generation

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Machine Learning for Electronic Design Automation: A Survey

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Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

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Measuring Utility and Privacy of Synthetic Genomic Data

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Pedestrian Simulation: A Review

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Real-time Denoising and Dereverberation with Tiny Recurrent U-Net

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Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning

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Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots

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Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis

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Alchemy: A structured task distribution for meta-reinforcement learning

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Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images

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Uncertainty Propagation in Convolutional Neural Networks: Technical Report

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An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids

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Large-Scale Training System for 100-Million Classification at Alibaba

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AutoScore: An Automated Warning Score Model for the Early Prediction of Clinical Events

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PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification

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OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking

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Predicting Clinical Deterioration in Hospitals

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Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)

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Predicting Customer Lifetime Values -- ecommerce use case

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Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub

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COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing

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Personalized Embedding-based e-Commerce Recommendations at eBay

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Sequence-based Machine Learning Models in Jet Physics

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The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media

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Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features

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Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification

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Self-Supervised VQ-VAE For One-Shot Music Style Transfer

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Refinement of polygonal grids using Convolutional Neural Networks with applications to polygonal Discontinous Galerkin and Virtual Element methods

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NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting

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Fast Classification Learning with Neural Networks and Conceptors for Speech Recognition and Car Driving Maneuvers

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Hyperbolic Generative Adversarial Network

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Adversarial Robustness: What fools you makes you stronger

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Patterns, predictions, and actions: A story about machine learning

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FLOP: Federated Learning on Medical Datasets using Partial Networks

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Scheduling the NASA Deep Space Network with Deep Reinforcement Learning

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Classifier Calibration: with implications to threat scores in cybersecurity

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Using Deep LSD to build operators in GANs latent space with meaning in real space

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"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models

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Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning

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On Disentanglement in Gaussian Process Variational Autoencoders

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Dompteur: Taming Audio Adversarial Examples

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Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models

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PyTorchRL: Modular and Distributed Reinforcement Learning in PyTorch

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Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances

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Deep Neural Network based Cough Detection using Bed-mounted Accelerometer Measurements

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More Is More -- Narrowing the Generalization Gap by Adding Classification Heads

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Demystifying Code Summarization Models

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Behavioral Economics Approach to Interpretable Deep Image Classification. Rationally Inattentive Utility Maximization Explains Deep Image Classification

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Noise Optimization for Artificial Neural Networks

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Robust Motion In-betweening

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Introduction to Machine Learning for the Sciences

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Noisy Recurrent Neural Networks

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TräumerAI: Dreaming Music with StyleGAN

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Detecting Fake News Using Machine Learning : A Systematic Literature Review

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Meta Discovery: Learning to Discover Novel Classes given Very Limited Data

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Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS

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Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve

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Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare

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Emergency Department Optimization and Load Prediction in Hospitals

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The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization

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Machine Learning in Precision Medicine to Preserve Privacy via Encryption

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Analysis of the Effectiveness of Face-Coverings on the Death Rate of COVID-19 Using Machine Learning

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Towards advancing the earthquake forecasting by machine learning of satellite data

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Overhead MNIST: A Benchmark Satellite Dataset

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Amazon Product Recommender System

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Points2Vec: Unsupervised Object-level Feature Learning from Point Clouds

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HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception

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Non-linear frequency warping using constant-Q transformation for speech emotion recognition

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Solid Texture Synthesis using Generative Adversarial Networks

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Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning

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Mimetic Neural Networks: A unified framework for Protein Design and Folding

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EMA2S: An End-to-End Multimodal Articulatory-to-Speech System

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HGAN: Hybrid Generative Adversarial Network

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COVIDHunter: An Accurate, Flexible, and Environment-Aware Open-Source COVID-19 Outbreak Simulation Model

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Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based Networks

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Exclusive Topic Modeling

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Privacy-Preserving Video Classification with Convolutional Neural Networks

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Network Support for High-performance Distributed Machine Learning

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Single Run Action Detector over Video Stream -- A Privacy Preserving Approach

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On the Reproducibility of Neural Network Predictions

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NRTSI: Non-Recurrent Time Series Imputation for Irregularly-sampled Data

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Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review

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PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers

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Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment

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Temporal convolutional networks and transformers for classifying the sleep stage in awake or asleep using pulse oximetry signals

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ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

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Analyzing Host-Viral Interactome of SARS-CoV-2 for Identifying Vulnerable Host Proteins during COVID-19 Pathogenesis

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How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned

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Infant Cry Classification with Graph Convolutional Networks

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Machine Learning for Auxiliary Sources

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