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?!
Valuation of European Options under an Uncertain Market Price of Volatility Risk

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Robo-Advising: Enhancing Investment with Inverse Optimization and Deep Reinforcement Learning

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Using four different online media sources to forecast the crude oil price

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A Generalized Framework for Measuring Pedestrian Accessibility around the World Using Open Data

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Deep Graph Convolutional Reinforcement Learning for Financial Portfolio Management -- DeepPocket

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AI and Shared Prosperity

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Trends in the E-commerce and in the Traditional Retail Sectors During the Covid-19 Pandemic: an Evolutionary Game Approach

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Application of Three Different Machine Learning Methods on Strategy Creation for Profitable Trades on Cryptocurrency Markets

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Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries

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Low-Latency Real-Time Non-Parallel Voice Conversion based on Cyclic Variational Autoencoder and Multiband WaveRNN with Data-Driven Linear Prediction

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Robustness of end-to-end Automatic Speech Recognition Models -- A Case Study using Mozilla DeepSpeech

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Speaker disentanglement in video-to-speech conversion

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Music Generation using Deep Learning

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SEMOUR: A Scripted Emotional Speech Repository for Urdu

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XCycles Backprojection Acoustic Super-Resolution

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Advances in integration of end-to-end neural and clustering-based diarization for real conversational speech

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Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification

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1D CNN Architectures for Music Genre Classification

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Chord Recognition- Music and Audio Information Retrieval

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Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End

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Face, Body, Voice: Video Person-Clustering with Multiple Modalities

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BodyPressure -- Inferring Body Pose and Contact Pressure from a Depth Image

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DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera

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A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos

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An Attractor-Guided Neural Networks for Skeleton-Based Human Motion Prediction

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An Empirical Study of Vehicle Re-Identification on the AI City Challenge

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More Than Just Attention: Learning Cross-Modal Attentions with Contrastive Constraints

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DeepCAD: A Deep Generative Network for Computer-Aided Design Models

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Generalized Few-Shot Object Detection without Forgetting

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VTNet: Visual Transformer Network for Object Goal Navigation

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Birds of a Feather: Capturing Avian Shape Models from Images

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Endless Loops: Detecting and Animating Periodic Patterns in Still Images

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Efficient and Robust LiDAR-Based End-to-End Navigation

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POCFormer: A Lightweight Transformer Architecture for Detection of COVID-19 Using Point of Care Ultrasound

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Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks

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Anchor-based Plain Net for Mobile Image Super-Resolution

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DPN-SENet:A self-attention mechanism neural network for detection and diagnosis of COVID-19 from chest x-ray images

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Medical Image Segmentation using Squeeze-and-Expansion Transformers

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Generative Adversarial Neural Architecture Search

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High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network

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PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency

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Local Aggressive Adversarial Attacks on 3D Point Cloud

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A Novel lightweight Convolutional Neural Network, ExquisiteNetV2

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Font Style that Fits an Image -- Font Generation Based on Image Context

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Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction

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Pathdreamer: A World Model for Indoor Navigation

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Image to Image Translation : Generating maps from satellite images

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Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics

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Guided Facial Skin Color Correction

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TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation

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VSGM -- Enhance robot task understanding ability through visual semantic graph

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Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation

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IntFormer: Predicting pedestrian intention with the aid of the Transformer architecture

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SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data

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Vision Transformer for Fast and Efficient Scene Text Recognition

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Assessing bikeability with street view imagery and computer vision

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Improved detection of small objects in road network sequences

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I2C2W: Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition

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NExT-QA:Next Phase of Question-Answering to Explaining Temporal Actions

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Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach

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Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching

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Deep Metric Learning for Few-Shot Image Classification: A Selective Review

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VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living

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Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models

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Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

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Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report

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Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report

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UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection

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Dependent Multi-Task Learning with Causal Intervention for Image Captioning

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COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches

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Transfer learning approach to Classify the X-ray image that corresponds to corona disease Using ResNet50 pretrained by ChexNet

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Randomly Initialized Convolutional Neural Network for the Recognition of COVID-19 using X-ray Images

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EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

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Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction

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COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs

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A Light Stage on Every Desk

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Learning to Automatically Catch Potholes in Worldwide Road Scene Images

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Rethinking the Design Principles of Robust Vision Transformer

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STRIDE : Scene Text Recognition In-Device

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HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding

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Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation

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AudioVisual Video Summarization

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Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity

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FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection

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Shared and Private VAEs with Generative Replay for Continual Learning

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Style-Restricted GAN: Multi-Modal Translation with Style Restriction Using Generative Adversarial Networks

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Rethinking "Batch" in BatchNorm

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Vision Transformers are Robust Learners

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Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction

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3D to 4D Facial Expressions Generation Guided by Landmarks

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MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions

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Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers

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ExSinGAN: Learning an Explainable Generative Model from a Single Image

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Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer

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Composite Localization for Human Pose Estimation

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Brain Inspired Object Recognition System

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Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos

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Are Convolutional Neural Networks or Transformers more like human vision?

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FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting

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One for All: An End-to-End Compact Solution for Hand Gesture Recognition

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Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention

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Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

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Face Attributes as Cues for Deep Face Recognition Understanding

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Pay Attention to MLPs

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Unsupervised Deep Learning Methods for Biological Image Reconstruction

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Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI

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A Cloud-based Deep Learning Framework for Remote Detection of Diabetic Foot Ulcers

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Dermoscopic Image Classification with Neural Style Transfer

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Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries

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Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy

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Texture Generation with Neural Cellular Automata

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Rethinking Skip Connection with Layer Normalization in Transformers and ResNets

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Make Bipedal Robots Learn How to Imitate

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NeuroGen: activation optimized image synthesis for discovery neuroscience

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SA-GAN: Structure-Aware Generative Adversarial Network for Shape-Preserving Synthetic CT Generation

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Omnimatte: Associating Objects and Their Effects in Video

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Open-set Face Recognition for Small Galleries Using Siamese Networks

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Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms

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Salient Feature Extractor for Adversarial Defense on Deep Neural Networks

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Facial Age Estimation using Convolutional Neural Networks

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Automated segmentation of microtomography imaging of Egyptian mummies

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Attentional Prototype Inference for Few-Shot Semantic Segmentation

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Sketch2Model: View-Aware 3D Modeling from Single Free-Hand Sketches

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Biometrics: Trust, but Verify

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TriPose: A Weakly-Supervised 3D Human Pose Estimation via Triangulation from Video

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Handwriting Recognition with Novelty

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SpikeMS: Deep Spiking Neural Network for Motion Segmentation

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Network Architecture Search for Face Enhancement

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Fit4CAD: A point cloud benchmark for fitting simple geometric primitives in CAD models

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Domestic waste detection and grasping points for robotic picking up

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Dual-Attention Residual Network for Automatic Diagnosis of COVID-19

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XAI Handbook: Towards a Unified Framework for Explainable AI

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COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images

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CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues

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Evaluating the Correctness of Explainable AI Algorithms for Classification

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Towards a Sample Efficient Reinforcement Learning Pipeline for Vision Based Robotics

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Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation

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Designing AI-based Conversational Agent for Diabetes Care in a Multilingual Context

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Social Behaviour Understanding using Deep Neural Networks: Development of Social Intelligence Systems

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Survey and Perspective on Social Emotions in Robotics

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Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder

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Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions

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MedSensor: Medication Adherence Monitoring Using Neural Networks on Smartwatch Accelerometer Sensor Data

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Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering

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AI and Ethics -- Operationalising Responsible AI

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Analyzing Machine Learning Approaches for Online Malware Detection in Cloud

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Copyright in Generative Deep Learning

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Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation

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Explainable Tsetlin Machine framework for fake news detection with credibility score assessment

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The State of AI Ethics Report (Volume 4)

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The State of AI Ethics Report (January 2021)

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Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map

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Investigating Math Word Problems using Pretrained Multilingual Language Models

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Reinforcement Learning Assisted Oxygen Therapy for COVID-19 Patients Under Intensive Care

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Confronting Structural Inequities in AI for Education

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Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms

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Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition

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Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach

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PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement Learning Policies

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Stylized Story Generation with Style-Guided Planning

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The Confluence of Networks, Games and Learning

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Modeling the EdNet Dataset with Logistic Regression

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Learning User Embeddings from Temporal Social Media Data: A Survey

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Designer-User Communication for XAI: An epistemological approach to discuss XAI design

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DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification

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A Formal Framework for Reasoning about Agents' Independence in Self-organizing Multi-agent Systems

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Abstraction, Validation, and Generalization for Explainable Artificial Intelligence

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Decision Making with Differential Privacy under a Fairness Lens

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Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis

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Heterogeneous Causal Effect of Polysubstance Usage on Drug Overdose

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Visual analogy: Deep learning versus compositional models

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Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning

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Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare

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Behavior-based Neuroevolutionary Training in Reinforcement Learning

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The challenges and realities of retailing in a COVID-19 world: Identifying trending and Vital During Crisis keywords during Covid-19 using Machine Learning (Austria as a case study)

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Hard Choices and Hard Limits for Artificial Intelligence

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Improving Graph Neural Networks with Simple Architecture Design

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TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

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EasyFL: A Low-code Federated Learning Platform For Dummies

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Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare

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Substitutional Neural Image Compression

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Doc2Dict: Information Extraction as Text Generation

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Explainable Hierarchical Imitation Learning for Robotic Drink Pouring

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Understanding the Effect of Bias in Deep Anomaly Detection

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A Deep Metric Learning Approach to Account Linking

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Content Analysis Application in Nursing: A Synthetic Knowledge Synthesis Meta-Study

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Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare

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Control of mental representations in human planning

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Neural-Symbolic Commonsense Reasoner with Relation Predictors

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Building Affordance Relations for Robotic Agents - A Review

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An Extension of BIM Using AI: a Multi Working-Machines Pathfinding Solution

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Physical Artificial Intelligence: The Concept Expansion of Next-Generation Artificial Intelligence

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Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving

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Plot and Rework: Modeling Storylines for Visual Storytelling

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QAConv: Question Answering on Informative Conversations

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DialSumm: A Real-Life Scenario Dialogue Summarization Dataset

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Long Short-term Memory RNN

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Anomaly Detection in Cybersecurity: Unsupervised, Graph-Based and Supervised Learning Methods in Adversarial Environments

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Not All Memories are Created Equal: Learning to Forget by Expiring

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NLP is Not enough -- Contextualization of User Input in Chatbots

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Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation

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Explainable Activity Recognition for Smart Home Systems

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See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization

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AI-Decision Support System Interface Using Cancer Related Data for Lung Cancer Prognosis

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Using Machine Learning Techniques to Identify Key Risk Factors for Diabetes and Undiagnosed Diabetes

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TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study

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Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors

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Physics-informed neural networks (PINNs) for fluid mechanics: A review

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Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

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A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media

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A Review of Autonomous Road Vehicle Integrated Approaches to an Emergency Obstacle Avoidance Maneuver

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An IoT-Based Framework for Remote Fall Monitoring

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DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons

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E(n) Equivariant Normalizing Flows for Molecule Generation in 3D

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Variability of Artificial Neural Networks

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Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education

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rx-anon -- A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm

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SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images

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From parcel to continental scale -- A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations

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Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON data

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Methods for Detoxification of Texts for the Russian Language

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Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations

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Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction

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Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies

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An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource

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Enhancement of prediction algorithms by betting

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Transformers à Grande Vitesse

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Automatic Assessment of Alzheimer's Disease Diagnosis Based on Deep Learning Techniques

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Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection

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Can Self Reported Symptoms Predict Daily COVID-19 Cases?

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Itsy Bitsy SpiderNet: Fully Connected Residual Network for Fraud Detection

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Forecasting Significant Wave Heights in Oceanic Waters

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AI-Native Network Slicing for 6G Networks

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Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic

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Livewired Neural Networks: Making Neurons That Fire Together Wire Together

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Application of Deep Self-Attention in Knowledge Tracing

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Be Causal: De-biasing Social Network Confounding in Recommendation

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Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19

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Capsule GAN for Prostate MRI Super-Resolution

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Undistillable: Making A Nasty Teacher That CANNOT teach students

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Cause and Effect: Concept-based Explanation of Neural Networks

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A causal learning framework for the analysis and interpretation of COVID-19 clinical data

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Supporting Context Monotonicity Abstractions in Neural NLI Models

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Does "AI" stand for augmenting inequality in the era of covid-19 healthcare?

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An Experimental Analysis of Work-Life Balance Among The Employees using Machine Learning Classifiers

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Deep Learning Models in Software Requirements Engineering

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The State of Infodemic on Twitter

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Automatic Fake News Detection: Are Models Learning to Reason?

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Classifying variety of customer's online engagement for churn prediction with mixed-penalty logistic regression

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RAIDER: Reinforcement-aided Spear Phishing Detector

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AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond

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SLGPT: Using Transfer Learning to Directly Generate Simulink Model Files and Find Bugs in the Simulink Toolchain

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Protein sequence-to-structure learning: Is this the end(-to-end revolution)?

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Statistical Mechanical Analysis of Catastrophic Forgetting in Continual Learning with Teacher and Student Networks

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Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations

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Priors in Bayesian Deep Learning: A Review

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Quantified Sleep: Machine learning techniques for observational n-of-1 studies

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A cost-benefit analysis of cross-lingual transfer methods

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More from @stephenwithavee

14 May
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?!
Using social network analysis to prevent money laundering

sciencewise.info/bookmarks/2105…
Winterization of Texan power system infrastructure is profitable but risky

sciencewise.info/bookmarks/2105…
Read 257 tweets
7 May
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?!
Stock Price Forecasting in Presence of Covid-19 Pandemic and Evaluating Performances of Machine Learning Models for Time-Series Forecasting

sciencewise.info/bookmarks/2105…
The Homogenous Properties of Automated Market Makers

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Read 276 tweets
30 Apr
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?!
Nonparametric Test for Volatility in Clustered Multiple Time Series

sciencewise.info/bookmarks/2104…
The Effect of Marketing Investment on Firm Value and Systematic Risk

sciencewise.info/bookmarks/2104…
Read 257 tweets
24 Apr
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?!
Avoiding the Crowd: Traveller Behaviour in Public Transport in the Age of COVID-19

sciencewise.info/bookmarks/2104…
Approximate option pricing formula for Barndorff-Nielsen and Shephard model

sciencewise.info/bookmarks/2104…
Read 318 tweets
16 Apr
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?!
A comparative study of Different Machine Learning Regressors For Stock Market Prediction

sciencewise.info/bookmarks/2104…
Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models

sciencewise.info/bookmarks/2104…
Read 296 tweets
10 Apr
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?!
Embeddings and Attention in Predictive Modeling

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Reddit's Self-Organized Bull Runs

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Read 259 tweets

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