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?!

Nonparametric Test for Volatility in Clustered Multiple Time Series

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The Effect of Marketing Investment on Firm Value and Systematic Risk

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Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS

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Optimal bidding on hourly and quarter-hourly day-ahead electricity price auctions: trading large volumes of power with market impact and transaction costs

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FX Market Volatility

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Where to Refuel: Modeling On-the-way Choice of Convenience Outlet

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Applying Convolutional Neural Networks for Stock Market Trends Identification

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The Future of Employment Revisited: How Model Selection Determines Automation Forecasts

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A Review of Disease and Development

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Social Norms Offer Explanation for Inconsistent Effects of Incentives on Prosocial Behavior

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Constructing long-short stock portfolio with a new listwise learn-to-rank algorithm

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Generative Adversarial Network: Some Analytical Perspectives

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Social capital and small business productivity: The mediating roles of financing and customer relationships

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Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs

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Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks

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Managing mental & psychological wellbeing amidst COVID-19 pandemic: Positive psychology interventions

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If it Looks like a Human and Speaks like a Human ... Dialogue and cooperation in human-robot interactions

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Does home advantage without crowd exist in American football?

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Extending the Heston Model to Forecast Motor Vehicle Collision Rates

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Star DGT: a Robust Gabor Transform for Speech Denoising

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End-to-End Speech Recognition from Federated Acoustic Models

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Improving Fairness in Speaker Recognition

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Impact of Encoding and Segmentation Strategies on End-to-End Simultaneous Speech Translation

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Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models

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Personalized Keyphrase Detection using Speaker and Environment Information

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IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research

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AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries

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DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment

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MULTIMODAL ANALYSIS: Informed content estimation and audio source separation

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Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework

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One Billion Audio Sounds from GPU-enabled Modular Synthesis

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End-to-End Video-To-Speech Synthesis using Generative Adversarial Networks

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IATos: AI-powered pre-screening tool for COVID-19 from cough audio samples

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Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques

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Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction

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Identifying Actions for Sound Event Classification

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Generation of musical patterns through operads

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Text-to-Speech Synthesis Techniques for MIDI-to-Audio Synthesis

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An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion

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MusCaps: Generating Captions for Music Audio

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Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation

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Deep Learning Based Assessment of Synthetic Speech Naturalness

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Improving Neural Silent Speech Interface Models by Adversarial Training

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Reconstructing Speech from Real-Time Articulatory MRI Using Neural Vocoders

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3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces

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Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification

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Earnings-21: A Practical Benchmark for ASR in the Wild

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LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech

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Exemplar-Based 3D Portrait Stylization

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Learned Spatial Representations for Few-shot Talking-Head Synthesis

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MongeNet: Efficient Sampler for Geometric Deep Learning

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MarioNette: Self-Supervised Sprite Learning

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Ensembling with Deep Generative Views

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GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification

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Towards a practical lip-to-speech conversion system using deep neural networks and mobile application frontend

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Hand Gesture Recognition Based on a Nonconvex Regularization

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Emerging Properties in Self-Supervised Vision Transformers

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Relevance Detection in Cataract Surgery Videos by Spatio-Temporal Action Localization

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Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks

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TabAug: Data Driven Augmentation for Enhanced Table Structure Recognition

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Privacy-Preserving Portrait Matting

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Segmentation-grounded Scene Graph Generation

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Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection

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Maneuver-Aware Pooling for Vehicle Trajectory Prediction

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Pushing it out of the Way: Interactive Visual Navigation

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Weather and Light Level Classification for Autonomous Driving: Dataset, Baseline and Active Learning

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Reducing Risk and Uncertainty of Deep Neural Networks on Diagnosing COVID-19 Infection

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Interaction-GCN: a Graph Convolutional Network based framework for social interaction recognition in egocentric videos

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EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion

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Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery

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Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study

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NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications

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A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information

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ELF-VC: Efficient Learned Flexible-Rate Video Coding

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Radar-based Automotive Localization using Landmarks in a Multimodal Sensor Graph-based Approach

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An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease

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Comparing Visual Reasoning in Humans and AI

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Zero-Shot Detection via Vision and Language Knowledge Distillation

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Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays

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Inpainting Transformer for Anomaly Detection

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Twins: Revisiting Spatial Attention Design in Vision Transformers

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DeepSatData: Building large scale datasets of satellite images for training machine learning models

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Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification

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Pose-driven Attention-guided Image Generation for Person Re-Identification

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Segmentation-Based Bounding Box Generation for Omnidirectional Pedestrian Detection

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MOD: Benchmark for Military Object Detection

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Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness

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MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains

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The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion

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Hybrid Approach for 3D Head Reconstruction: Using Neural Networks and Visual Geometry

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PANDA : Perceptually Aware Neural Detection of Anomalies

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HOTR: End-to-End Human-Object Interaction Detection with Transformers

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AdvHaze: Adversarial Haze Attack

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Robust Face-Swap Detection Based on 3D Facial Shape Information

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Point Cloud Learning with Transformer

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On the Unreasonable Effectiveness of Centroids in Image Retrieval

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Medical Transformer: Universal Brain Encoder for 3D MRI Analysis

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Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors

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DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering

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Revisiting Skeleton-based Action Recognition

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Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis

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KAMA: 3D Keypoint Aware Body Mesh Articulation

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ConTNet: Why not use convolution and transformer at the same time?

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KAMA: 3D Keypoint Aware Body Mesh Articulation

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Incident Detection on Junctions Using Image Processing

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Contrastive Spatial Reasoning on Multi-View Line Drawings

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ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding

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LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images

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Deep Two-Stage High-Resolution Image Inpainting

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BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment

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Explaining in Style: Training a GAN to explain a classifier in StyleSpace

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Unsupervised 3D Shape Completion through GAN Inversion

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MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions

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Rethinking BiSeNet For Real-time Semantic Segmentation

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Fisheye Lens Camera based Autonomous Valet Parking System

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Dual Transformer for Point Cloud Analysis

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Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation

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Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones?

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InfographicVQA

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Improve Vision Transformers Training by Suppressing Over-smoothing

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Image Modeling with Deep Convolutional Gaussian Mixture Models

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Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark

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CAGAN: Text-To-Image Generation with Combined Attention GANs

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PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches

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Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture

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Computer vision in automated parking systems: Design, implementation and challenges

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Visformer: The Vision-friendly Transformer

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GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization

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Variational Pedestrian Detection

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VCGAN: Video Colorization with Hybrid Generative Adversarial Network

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Machine Learning based Lie Detector applied to a Collected and Annotated Dataset

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Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps

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The 5th AI City Challenge

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A novel segmentation dataset for signatures on bank checks

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Transformer Meets DCFAM: A Novel Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images

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Parallel mesh reconstruction streams for pose estimation of interacting hands

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Temp-Frustum Net: 3D Object Detection with Temporal Fusion

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Image Inpainting with Edge-guided Learnable Bidirectional Attention Maps

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Making GAN-Generated Images Difficult To Spot: A New Attack Against Synthetic Image Detectors

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3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head

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Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation

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Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics

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UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments

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Clean Images are Hard to Reblur: A New Clue for Deblurring

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Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks

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Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances

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dualFace:Two-Stage Drawing Guidance for Freehand Portrait Sketching

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Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning

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VidTr: Video Transformer Without Convolutions

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Safe Fakes: Evaluating Face Anonymizers for Face Detectors

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Skeletor: Skeletal Transformers for Robust Body-Pose Estimation

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Rapid Detection of Aircrafts in Satellite Imagery based on Deep Neural Networks

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MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance

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SBNet: Segmentation-based Network for Natural Language-based Vehicle Search

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DeepMix: Online Auto Data Augmentation for Robust Visual Object Tracking

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CapillaryNet: An Automated System to Analyze Microcirculation Videos from Handheld Vital Microscopy

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Sketch-based Normal Map Generation with Geometric Sampling

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Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

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Learning to Cluster Faces via Transformer

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Skip-Convolutions for Efficient Video Processing

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SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos

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H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry

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Motion Representations for Articulated Animation

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VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution

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Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer Aid

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Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data

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Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction

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Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning

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Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy

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Collaborative Human-Agent Planning for Resilience

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Applications of Artificial Intelligence to aid detection of dementia: a narrative review on current capabilities and future directions

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Brain-inspired computing: We need a master plan

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Implementing Reinforcement Learning Algorithms in Retail Supply Chains with OpenAI Gym Toolkit

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From Distributed Machine Learning to Federated Learning: A Survey

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InsertionNet -- A Scalable Solution for Insertion

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Connecting AI Learning and Blockchain Mining in 6G Systems

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Machine Learning Techniques for Software Quality Assurance: A Survey

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The Role of General Intelligence in Mathematical Reasoning

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Gradient-based Adversarial Attacks against Text Transformers

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Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers

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Text Generation with Deep Variational GAN

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A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning

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Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence

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Why AI is Harder Than We Think

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Proceedings - AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021

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SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents

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Controlling earthquake-like instabilities using artificial intelligence

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Graph Neural Networks for Traffic Forecasting

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Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users

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End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning

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TrustyAI Explainability Toolkit

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Causal Learning for Socially Responsible AI

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Understanding and Accelerating EM Algorithm's Convergence by Fair Competition Principle and Rate-Verisimilitude Function

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Understanding and Avoiding AI Failures: A Practical Guide

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Artificial Intelligence Based Prognostic Maintenance of Renewable Energy Systems: A Review of Techniques, Challenges, and Future Research Directions

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A Framework for Ethical AI at the United Nations

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Represent Items by Items: An Enhanced Representation of the Target Item for Recommendation

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Efficient Hyperparameter Optimization for Physics-based Character Animation

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Stochastic Recurrent Neural Network for Multistep Time Series Forecasting

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A Bi-Encoder LSTM Model For Learning Unstructured Dialogs

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Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer

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A Deep Reinforcement Learning Approach for the Meal Delivery Problem

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Intensional Artificial Intelligence: From Symbol Emergence to Explainable and Empathetic AI

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Learning in Deep Neural Networks Using a Biologically Inspired Optimizer

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Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation

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Time Series Forecasting via Learning Convolutionally Low-Rank Models

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SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics

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Literature review on vulnerability detection using NLP technology

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ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals

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Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety

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A Study of the Mathematics of Deep Learning

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Algorithmic Factors Influencing Bias in Machine Learning

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On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning

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PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments

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VIRDOC: Statistical and Machine Learning by a VIRtual DOCtor to Predict Dengue Fatality

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Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy

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RECKONition: a NLP-based system for Industrial Accidents at Work Prevention

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Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses

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Reward (Mis)design for Autonomous Driving

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PyTorch Tabular: A Framework for Deep Learning with Tabular Data

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The Evolution of Rumors on a Closed Platform during COVID-19

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MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories

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Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes

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An optical neural network using less than 1 photon per multiplication

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Continual Distributed Learning for Crisis Management

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Tracking Peaceful Tractors on Social Media -- XAI-enabled analysis of Red Fort Riots 2021

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Inductive Program Synthesis over Noisy Datasets using Abstraction Refinement Based Optimization

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To mock a Mocking bird : Studies in Biomimicry

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Scalable Microservice Forensics and Stability Assessment Using Variational Autoencoders

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Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity

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A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation

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A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep

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Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules

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Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts

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A Survey Of Regression Algorithms And Connections With Deep Learning

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Improving Botnet Detection with Recurrent Neural Network and Transfer Learning

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Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT

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RP-DQN: An application of Q-Learning to Vehicle Routing Problems

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Development of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building

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Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium

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Auto Response Generation in Online Medical Chat Services

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DABT: A Dependency-aware Bug Triaging Method

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tsrobprep -- an R package for robust preprocessing of time series data

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COVID-19 Modeling: A Review

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Evaluating the performance of personal, social, health-related, biomarker and genetic data for predicting an individuals future health using machine learning: A longitudinal analysis

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Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis

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Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data

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Transformers to Fight the COVID-19 Infodemic

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Machine Learning Approaches for Inferring Liver Diseases and Detecting Blood Donors from Medical Diagnosis

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Predicting the Number of Reported Bugs in a Software Repository

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DeepCAT: Deep Category Representation for Query Understanding in E-commerce Search

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A Framework for Unsupervised Classificiation and Data Mining of Tweets about Cyber Vulnerabilities

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Genetic Constrained Graph Variational Autoencoder for COVID-19 Drug Discovery

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Knodle: Modular Weakly Supervised Learning with PyTorch

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Scalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities

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