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?!

Stock Price Forecasting in Presence of Covid-19 Pandemic and Evaluating Performances of Machine Learning Models for Time-Series Forecasting

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The Homogenous Properties of Automated Market Makers

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Should You Take Investment Advice From WallStreetBets? A Data-Driven Approach

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Home advantage and crowd attendance: Evidence from rugby during the Covid 19 pandemic

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On Wholesale Electricity Prices and Market Values in a Carbon-Neutral Energy System

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Reputational Bargaining with Ultimatum Opportunities

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MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price

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Deep Reinforcement Trading with Predictable Returns

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Driver Positioning and Incentive Budgeting with an Escrow Mechanism for Ridesharing Platforms

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Speech Enhancement using Separable Polling Attention and Global Layer Normalization followed with PReLU

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DBNet: A Dual-branch Network Architecture Processing on Spectrum and Waveform for Single-channel Speech Enhancement

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How do Voices from Past Speech Synthesis Challenges Compare Today?

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Self-Supervised Learning from Automatically Separated Sound Scenes

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Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora

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Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery

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VQCPC-GAN: Variable-length Adversarial Audio Synthesis using Vector-Quantized Contrastive Predictive Coding

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Streaming end-to-end speech recognition with jointly trained neural feature enhancement

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Exploring Disentanglement with Multilingual and Monolingual VQ-VAE

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Performance Evaluation of Deep Convolutional Maxout Neural Network in Speech Recognition

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Deep Neural Network for Musical Instrument Recognition using MFCCs

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AvaTr: One-Shot Speaker Extraction with Transformers

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Audio Transformers:Transformer Architectures For Large Scale Audio Understanding. Adieu Convolutions

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Emotion Recognition of the Singing Voice: Toward a Real-Time Analysis Tool for Singers

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On the limit of English conversational speech recognition

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Scaling End-to-End Models for Large-Scale Multilingual ASR

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Dance Generation with Style Embedding: Learning and Transferring Latent Representations of Dance Styles

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Aligning Subtitles in Sign Language Videos

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Animatable Neural Radiance Fields for Human Body Modeling

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Real-Time Video Super-Resolution by Joint Local Inference and Global Parameter Estimation

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Computer-Aided Design as Language

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Pose-Guided Sign Language Video GAN with Dynamic Lambda

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Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet

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VideoLT: Large-scale Long-tailed Video Recognition

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A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations

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A Novel Falling-Ball Algorithm for Image Segmentation

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Vision based Pedestrian Potential Risk Analysis based on Automated Behavior Feature Extraction for Smart and Safe City

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Local Relation Learning for Face Forgery Detection

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A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure

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(ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality Assessment

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PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation

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Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark

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Inverting Generative Adversarial Renderer for Face Reconstruction

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Person Retrieval in Surveillance Using Textual Query: A Review

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In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery

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SIPSA-Net: Shift-Invariant Pan Sharpening with Moving Object Alignment for Satellite Imagery

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Content4All Open Research Sign Language Translation Datasets

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Magnifying Subtle Facial Motions for Effective 4D Expression Recognition

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A Step Toward More Inclusive People Annotations for Fairness

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Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis

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Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature Selection

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A 2.5D Vehicle Odometry Estimation for Vision Applications

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SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation

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Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain

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R2U3D: Recurrent Residual 3D U-Net for Lung Segmentation

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PD-GAN: Probabilistic Diverse GAN for Image Inpainting

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VoxelContext-Net: An Octree based Framework for Point Cloud Compression

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Prototype Memory for Large-scale Face Representation Learning

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Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images

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Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation

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Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors

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SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water

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Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation

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RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

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PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML

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PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Table Image Recognition to Latex

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Real-time Face Mask Detection in Video Data

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Real-time Deep Dynamic Characters

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3D Vehicle Detection Using Camera and Low-Resolution LiDAR

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GANs for Urban Design

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Height Estimation of Children under Five Years using Depth Images

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Rethinking Ultrasound Augmentation: A Physics-Inspired Approach

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Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory Optimization

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Continual Learning on the Edge with TensorFlow Lite

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Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives

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Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data

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COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach

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Attention-based Stylisation for Exemplar Image Colourisation

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Person Search Challenges and Solutions: A Survey

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MLP-Mixer: An all-MLP Architecture for Vision

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Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS)

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Leveraging Third-Order Features in Skeleton-Based Action Recognition

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Combining Supervised and Un-supervised Learning for Automatic Citrus Segmentation

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Canonical Saliency Maps: Decoding Deep Face Models

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LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement

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Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis

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End-to-end One-shot Human Parsing

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COMISR: Compression-Informed Video Super-Resolution

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Pedestrian Detection in 3D Point Clouds using Deep Neural Networks

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Sketches image analysis: Web image search engine usingLSH index and DNN InceptionV3

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Self-Improving Semantic Perception on a Construction Robot

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Multipath Graph Convolutional Neural Networks

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COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images

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Towards A Multi-agent System for Online Hate Speech Detection

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Collision Replay: What Does Bumping Into Things Tell You About Scene Geometry?

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A Gun Detection Dataset and Searching for Embedded Device Solutions

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Neural Monocular 3D Human Motion Capture with Physical Awareness

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GridToPix: Training Embodied Agents with Minimal Supervision

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Pose Invariant Person Re-Identification using Robust Pose-transformation GAN

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MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture

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ISTR: End-to-End Instance Segmentation with Transformers

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EQFace: A Simple Explicit Quality Network for Face Recognition

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An Examination of Fairness of AI Models for Deepfake Detection

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Surgical Gesture Recognition Based on Bidirectional Multi-Layer Independently RNN with Explainable Spatial Feature Extraction

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A survey on VQA_Datasets and Approaches

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PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text

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MarkerPose: Robust Real-time Planar Target Tracking for Accurate Stereo Pose Estimation

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A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts

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Adversarial Example Detection for DNN Models: A Review

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Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN

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One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework

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SVT-Net: A Super Light-Weight Network for Large Scale Place Recognition using Sparse Voxel Transformers

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Continuous Face Aging via Self-estimated Residual Age Embedding

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Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation

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Bird-Area Water-Bodies Dataset (BAWD) and Predictive AI Model for Avian Botulism Outbreak (AVI-BoT)

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Robust 3D Cell Segmentation: Extending the View of Cellpose

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Learning to drive from a world on rails

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Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain Connectivity

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AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation

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COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images

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JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets

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A Good Image Generator Is What You Need for High-Resolution Video Synthesis

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DriveGAN: Towards a Controllable High-Quality Neural Simulation

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Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks

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Deep learning with self-supervision and uncertainty regularization to count fish in underwater images

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Determining Chess Game State From an Image

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SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models

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Deep Learning Based Steel Pipe Weld Defect Detection

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Action in Mind: A Neural Network Approach to Action Recognition and Segmentation

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NTIRE 2021 Challenge on Image Deblurring

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Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning

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SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation

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GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

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StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing

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Reproducibility of "FDA: Fourier Domain Adaptation forSemantic Segmentation

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Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads

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End-to-End Attention-based Image Captioning

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HandsFormer: Keypoint Transformer for Monocular 3D Pose Estimation ofHands and Object in Interaction

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Text2Video: Text-driven Talking-head Video Synthesis with Phonetic Dictionary

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AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge

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Crack Semantic Segmentation using the U-Net with Full Attention Strategy

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Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods

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Certifying Emergency Landing for Safe Urban UAV

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Physically Feasible Vehicle Trajectory Prediction

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Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics

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AI Risk Skepticism

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Algorithmic Ethics: Formalization and Verification of Autonomous Vehicle Obligations

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A Framework of Explanation Generation toward Reliable Autonomous Robots

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Explainable Autonomous Robots: A Survey and Perspective

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On the Ethical Limits of Natural Language Processing on Legal Text

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Digital Voodoo Dolls

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FDNet: A Deep Learning Approach with Two Parallel Cross Encoding Pathways for Precipitation Nowcasting

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Security Vulnerability Detection Using Deep Learning Natural Language Processing

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Foundations of Intelligence in Natural and Artificial Systems: A Workshop Report

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LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing

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ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer

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Software Engineering for AI-Based Systems: A Survey

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Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards

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Change Matters: Medication Change Prediction with Recurrent Residual Networks

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Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data

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Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction

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Envisioning Communities: A Participatory Approach Towards AI for Social Good

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Attention based Writer Independent Handwriting Verification

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Federated Multi-View Learning for Private Medical Data Integration and Analysis

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Towards Accountability in the Use of Artificial Intelligence for Public Administrations

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Automatic Learning to Detect Concept Drift

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Causal factors discovering from Chinese construction accident cases

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Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks

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Evolving Evaluation Functions for Collectible Card Game AI

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PreSizE: Predicting Size in E-Commerce using Transformers

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EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia

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Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases

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What can the millions of random treatments in nonexperimental data reveal about causes?

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Reinforcement Learning for Ridesharing: A Survey

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Consumer Demand Modeling During COVID-19 Pandemic

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VECA : A Toolkit for Building Virtual Environments to Train and Test Human-like Agents

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Comparison Analysis of Facebook's Prophet, Amazon's DeepAR+ and CNN-QR Algorithms for Successful Real-World Sales Forecasting

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Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results

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A Deep Learning Framework for Lifelong Machine Learning

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A Sensorless Control System for an Implantable Heart Pump using a Real-time Deep Convolutional Neural Network

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Natural Language Generation Using Link Grammar for General Conversational Intelligence

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AMMU -- A Survey of Transformer-based Biomedical Pretrained Language Models

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DEUX: An Attribute-Guided Framework for Sociable Recommendation Dialog Systems

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Fast Multi-Step Critiquing for VAE-based Recommender Systems

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Graph Learning: A Survey

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Bias in Knowledge Graphs -- an Empirical Study with Movie Recommendation and Different Language Editions of DBpedia

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One Model to Rule them All: Towards Zero-Shot Learning for Databases

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BI-REC: Guided Data Analysis for Conversational Business Intelligence

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Intelligent Conversational Android ERICA Applied to Attentive Listening and Job Interview

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A LiDAR Assisted Control Module with High Precision in Parking Scenarios for Autonomous Driving Vehicle

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AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning

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MathBERT: A Pre-Trained Model for Mathematical Formula Understanding

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Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO System

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Stochastic Block-ADMM for Training Deep Networks

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Neko: a Library for Exploring Neuromorphic Learning Rules

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Data-driven discovery of physical laws with human-understandable deep learning

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MRCBert: A Machine Reading ComprehensionApproach for Unsupervised Summarization

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An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets

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Explanation-Based Human Debugging of NLP Models: A Survey

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Stealthy Backdoors as Compression Artifacts

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Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning

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Scholarly AI system diagrams as an access point to mental models

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Mitigating Political Bias in Language Models Through Reinforced Calibration

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Cross-lingual hate speech detection based on multilingual domain-specific word embeddings

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The Interspeech Zero Resource Speech Challenge 2021: Spoken language modelling

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Turing Completeness and Sid Meier's Civilization

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A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction

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Modeling the geospatial evolution of COVID-19 using spatio-temporal convolutional sequence-to-sequence neural networks

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SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations

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Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices

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Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs

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Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health

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Dataset Bias in the Natural Sciences: A Case Study in Chemical Reaction Prediction and Synthesis Design

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Byzantine-Robust and Privacy-Preserving Framework for FedML

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Understanding Long Range Memory Effects in Deep Neural Networks

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Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning

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Ovarian Cancer Detection based on Dimensionality Reduction Techniques and Genetic Algorithm

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Automated scoring of pre-REM sleep in mice with deep learning

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Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach

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Exploring emotional prototypes in a high dimensional TTS latent space

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WaveGlove: Transformer-based hand gesture recognition using multiple inertial sensors

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Predicting Localized Primordial Star Formation with Deep Convolutional Neural Networks

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Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments

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Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth

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Sentiment and Emotion Classification of Epidemic Related Bilingual data from Social Media

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NeuralLog: a Neural Logic Language

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A Review on Oracle Issues in Machine Learning

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TimeGym: Debugging for Time Series Modeling in Python

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Using Twitter Attribute Information to Predict Stock Prices

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Comparison of Machine Learning Methods for Predicting Winter Wheat Yield in Germany

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LaboRecommender: A crazy-easy to use Python-based recommender system for laboratory tests

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Machine Learning Applications for Therapeutic Tasks with Genomics Data

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Apparel Recommender System based on Bilateral image shape features

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Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?

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BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter

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Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems

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AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics

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Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise

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Hierarchical Reinforcement Learning for Air-to-Air Combat

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LFI-CAM: Learning Feature Importance for Better Visual Explanation

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Antagonistic Crowd Simulation Model Integrating Emotion Contagion and Deep Reinforcement Learning

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Learning by Design: Structuring and Documenting the Human Choices in Machine Learning Development

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COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction

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An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks

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A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors

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RotLSTM: Rotating Memories in Recurrent Neural Networks

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Online Fashion Commerce: Modelling Customer Promise Date

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Incorporating Transformer and LSTM to Kalman Filter with EM algorithm for state estimation

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Deep Insights of Deepfake Technology : A Review

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Deep Convolution for Irregularly Sampled Temporal Point Clouds

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Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks

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Data-driven Full-waveform Inversion Surrogate using Conditional Generative Adversarial Networks

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Robotic Surgery With Lean Reinforcement Learning

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A Survey of Recent Abstract Summarization Techniques

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BERT based freedom to operate patent analysis

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Transformers: "The End of History" for NLP?

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Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search

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An Algorithm for Recommending Groceries Based on an Item Ranking Method

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Adapting CRISP-DM for Idea Mining: A Data Mining Process for Generating Ideas Using a Textual Dataset

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DRIVE: Machine Learning to Identify Drivers of Cancer with High-Dimensional Genomic Data & Imputed Labels

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Topological Data Analysis of COVID-19 Virus Spike Proteins

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SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects

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Combating small molecule aggregation with machine learning

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Online and Adaptive Parking Availability Mapping: An Uncertainty-Aware Active Sensing Approach for Connected Vehicles

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Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-Network

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Forming Ensembles at Runtime: A Machine Learning Approach

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A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS)

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Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study

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A comparative study of neural network techniques for automatic software vulnerability detection

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Assessment of the influence of features on a classification problem: an application to COVID-19 patients

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Event-driven timeseries analysis and the comparison of public reactions on COVID-19

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SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics

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Random Embeddings and Linear Regression can Predict Protein Function

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Random Embeddings and Linear Regression can Predict Protein Function

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Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression

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