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?!

SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical image segmentation

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Improving Across-Dataset Brain Tissue Segmentation Using Transformer

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FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face Extraction

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A Comprehensive Study of Vision Transformers on Dense Prediction Tasks

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ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification

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AiTLAS: Artificial Intelligence Toolbox for Earth Observation

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Realtime 3D Object Detection for Headsets

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Skyline variations allow estimating distance to trees on landscape photos using semantic segmentation

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Point-NeRF: Point-based Neural Radiance Fields

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SAR Image Change Detection Based on Multiscale Capsule Network

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A Pre-trained Audio-Visual Transformer for Emotion Recognition

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Cyber Mobility Mirror for Enabling Cooperative Driving Automation: A Co-Simulation Platform

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AutoSeg -- Steering the Inductive Biases for Automatic Pathology Segmentation

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Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network

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Transformers in Medical Imaging: A Survey

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Image-to-Video Re-Identification via Mutual Discriminative Knowledge Transfer

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An Ensemble Model for Face Liveness Detection

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Temporal Aggregation for Adaptive RGBT Tracking

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Robust Unpaired Single Image Super-Resolution of Faces

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LSNet: Extremely Light-Weight Siamese Network For Change Detection in Remote Sensing Image

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Visual Object Tracking on Multi-modal RGB-D Videos: A Review

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Wavelet-Attention CNN for Image Classification

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1000x Faster Camera and Machine Vision with Ordinary Devices

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Basket-based Softmax

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vCLIMB: A Novel Video Class Incremental Learning Benchmark

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UniFormer: Unifying Convolution and Self-attention for Visual Recognition

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Importance of Textlines in Historical Document Classification

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Spectral-PQ: A Novel Spectral Sensitivity-Orientated Perceptual Compression Technique for RGB 4:4:4 Video Data

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A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification

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RePaint: Inpainting using Denoising Diffusion Probabilistic Models

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Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices

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Attacks and Defenses for Free-Riders in Multi-Discriminator GAN

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ImpliCity: City Modeling from Satellite Images with Deep Implicit Occupancy Fields

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Self-supervised Point Cloud Registration with Deep Versatile Descriptors

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Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond

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Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks

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Explore and Match: End-to-End Video Grounding with Transformer

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DocEnTr: An End-to-End Document Image Enhancement Transformer

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City3D: Large-scale Urban Reconstruction from Airborne Point Clouds

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Winograd Convolution for Deep Neural Networks: Efficient Point Selection

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Main Product Detection with Graph Networks for Fashion

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How Low Can We Go? Pixel Annotation for Semantic Segmentation

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Blind Image Deblurring: a Review

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SA-VQA: Structured Alignment of Visual and Semantic Representations for Visual Question Answering

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MGA-VQA: Multi-Granularity Alignment for Visual Question Answering

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Deep Image Deblurring: A Survey

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A Joint Convolution Auto-encoder Network for Infrared and Visible Image Fusion

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A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes

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When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism

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On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad Generations

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TransPPG: Two-stream Transformer for Remote Heart Rate Estimate

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Self-Attention Neural Bag-of-Features

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HistoKT: Cross Knowledge Transfer in Computational Pathology

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PRNU Based Source Camera Identification for Webcam and Smartphone Videos

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DIREG3D: DIrectly REGress 3D Hands from Multiple Cameras

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Revisiting RCAN: Improved Training for Image Super-Resolution

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Efficient divide-and-conquer registration of UAV and ground LiDAR point clouds through canopy shape context

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Efficient divide-and-conquer registration of UAV and ground LiDAR point clouds through canopy shape context

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RelTR: Relation Transformer for Scene Graph Generation

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Head and eye egocentric gesture recognition for human-robot interaction using eyewear cameras

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ResiDualGAN: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic Segmentation

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A Non-Expert's Introduction to Data Ethics for Mathematicians

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VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python

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Kinit Classification in Ethiopian Chants, Azmaris and Modern Music: A New Dataset and CNN Benchmark

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Android Malware Detection using Feature Ranking of Permissions

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RoboMal: Malware Detection for Robot Network Systems

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Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSAR

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Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning

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GAP-Gen: Guided Automatic Python Code Generation

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GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration

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Individual Treatment Effect Estimation Through Controlled Neural Network Training in Two Stages

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Deep Q-learning: a robust control approach

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A deep learning energy method for hyperelasticity and viscoelasticity

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GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

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On the in vivo recognition of kidney stones using machine learning

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Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective

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Universal Online Learning with Unbounded Losses: Memory Is All You Need

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NAS-VAD: Neural Architecture Search for Voice Activity Detection

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Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network

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MIDAS: Deep learning human action intention prediction from natural eye movement patterns

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Differential Geometry in Neural Implicits

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Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey

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POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection

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Sketch2PQ: Freeform Planar Quadrilateral Mesh Design via a Single Sketch

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MISeval: a Metric Library for Medical Image Segmentation Evaluation

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Bias in Automated Speaker Recognition

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Backdoor Defense with Machine Unlearning

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Paired Image to Image Translation for Strikethrough Removal From Handwritten Words

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Optimizing Tandem Speaker Verification and Anti-Spoofing Systems

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Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots

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Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi-squared Test and Hyper-parameter Optimization: A Retrospective Analysis

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Neuronal Correlation: a Central Concept in Neural Network

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glassoformer: a query-sparse transformer for post-fault power grid voltage prediction

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An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series

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Weight Expansion: A New Perspective on Dropout and Generalization

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Approximation bounds for norm constrained neural networks with applications to regression and GANs

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Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models

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Analyzing Multispectral Satellite Imagery of South American Wildfires Using CNNs and Unsupervised Learning

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Hiding Behind Backdoors: Self-Obfuscation Against Generative Models

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MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis

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A Deep Learning Approach for the Detection of COVID-19 from Chest X-Ray Images using Convolutional Neural Networks

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COVID-19 Detection Using CT Image Based On YOLOv5 Network

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The Vehicle Trajectory Prediction Based on ResNet and EfficientNet Model

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ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals

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A Classical Approach to Handcrafted Feature Extraction Techniques for Bangla Handwritten Digit Recognition

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Two heads are better than one: Enhancing medical representations by pre-training over structured and unstructured electronic health records

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BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment

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ShapeFormer: Transformer-based Shape Completion via Sparse Representation

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Zero-Shot Long-Form Voice Cloning with Dynamic Convolution Attention

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Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition

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Guided Generative Protein Design using Regularized Transformers

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Attention-Based Vandalism Detection in OpenStreetMap

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FRAMED: Data-Driven Structural Performance Analysis of Community-Designed Bicycle Frames

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GIU-GANs: Global Information Utilization for Generative Adversarial Networks

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Explainability in Music Recommender Systems

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Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition

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Invertible Voice Conversion

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Image Generation with Self Pixel-wise Normalization

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Phishing Attacks Detection -- A Machine Learning-Based Approach

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FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

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Dual-Tasks Siamese Transformer Framework for Building Damage Assessment

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Recency Dropout for Recurrent Recommender Systems

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Competition over data: how does data purchase affect users?

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Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network

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OntoProtein: Protein Pretraining With Gene Ontology Embedding

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MALTS: Matching After Learning to Stretch

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Attention cannot be an Explanation

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Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images

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Predicting Succinylation Sites in Proteins with Improved Deep Learning Architecture

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Objective Prediction of Tomorrow's Affect Using Multi-Modal Physiological Data and Personal Chronicles: A Study of Monitoring College Student Well-being in 2020

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Transformer Module Networks for Systematic Generalization in Visual Question Answering

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Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network

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FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance

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LAGOON: An Analysis Tool for Open Source Communities

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Simplicial Convolutional Filters

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Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes

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On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections

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Generative Trees: Adversarial and Copycat

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Stock2Vec: An Embedding to Improve Predictive Models for Companies

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Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise

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GraphTune: A Learning-based Graph Generative Model with Tunable Structural Features

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From Motion to Muscle

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Transfer Portal: Accurately Forecasting the Impact of a Player Transfer in Soccer

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SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis

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Can Machines Generate Personalized Music? A Hybrid Favorite-aware Method for User Preference Music Transfer

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Classroom Slide Narration System

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Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World

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Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation?

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Towards Building Economic Models of Conversational Search

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Automatic Item Generation of Figural Analogy Problems: A Review and Outlook

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FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis

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Leaf: Multiple-Choice Question Generation

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LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN

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LTC-GIF: Attracting More Clicks on Feature-length Sports Videos

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HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting

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Visual Information Guided Zero-Shot Paraphrase Generation

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External Stability Auditing to Test the Validity of Personality Prediction in AI Hiring

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An Integrated Approach for Video Captioning and Applications

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Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval

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Vision-Based UAV Localization System in Denial Environments

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DDoSDet: An approach to Detect DDoS attacks using Neural Networks

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Synthetic Books

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Consistent 3D Hand Reconstruction in Video via self-supervised Learning

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Towards a Real-time Measure of the Perception of Anthropomorphism in Human-robot Interaction

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Reasoning about Human-Friendly Strategies in Repeated Keyword Auctions

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DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations

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AlphaFold Accelerates Artificial Intelligence Powered Drug Discovery: Efficient Discovery of a Novel Cyclin-dependent Kinase 20 (CDK20) Small Molecule Inhibitor

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Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN

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Reinforcement Learning Textbook

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Online AutoML: An adaptive AutoML framework for online learning

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Patches Are All You Need?

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Problife: a Probabilistic Game of Life

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Classification Of Fake News Headline Based On Neural Networks

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Maximizing information from chemical engineering data sets: Applications to machine learning

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Are Commercial Face Detection Models as Biased as Academic Models?

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Almost Optimal Variance-Constrained Best Arm Identification

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Explanatory Learning: Beyond Empiricism in Neural Networks

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Convolutional Xformers for Vision

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Aerospace Human System Integration Evolution over the Last 40 Years

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Roadmap for Cybersecurity in Autonomous Vehicles

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COVID-19 Status Forecasting Using New Viral variants and Vaccination Effectiveness Models

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Language Generation for Broad-Coverage, Explainable Cognitive Systems

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Distantly supervised end-to-end medical entity extraction from electronic health records with human-level quality

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A Method to Predict Semantic Relations on Artificial Intelligence Papers

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Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in Robotics

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Safe AI -- How is this Possible?

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DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt Identification using Semi-Supervised Learning

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Beyond Visual Image: Automated Diagnosis of Pigmented Skin Lesions Combining Clinical Image Features with Patient Data

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Training Vision Transformers with Only 2040 Images

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A Cooperation-Aware Lane Change Method for Autonomous Vehicles

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Momentum Capsule Networks

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Do You See What I See? Capabilities and Limits of Automated Multimedia Content Analysis

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Natural Language Descriptions of Deep Visual Features

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Using a Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML)

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Cybertrust: From Explainable to Actionable and Interpretable AI (AI2)

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Semantic Code Classification for Automated Machine Learning

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Towards a Secure and Reliable Federated Learning using Blockchain

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Smart City Defense Game: Strategic Resource Management during Socio-Cyber-Physical Attacks

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Effective Shortcut Technique for GAN

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LiteLSTM Architecture for Deep Recurrent Neural Networks

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Internal language model estimation through explicit context vector learning for attention-based encoder-decoder ASR

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Diagnosing AI Explanation Methods with Folk Concepts of Behavior

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Epistemic AI platform accelerates innovation by connecting biomedical knowledge

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DeepScalper: A Risk-Aware Deep Reinforcement Learning Framework for Intraday Trading with Micro-level Market Embedding

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An Intergenerational Issue: The Equity Issues due to Public-Private Partnerships. The Critical Aspect of the Social Discount Rate Choice for Future Generations

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The Link Between Standardization and Economic Growth: A Bibliometric Analysis

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Profit Puzzles or: Public Firm Profits Have Fallen

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The rise of digital finance: Financial inclusion or debt trap

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Gender-specific Call of Duty: A Note on the Neglect of Conscription in Gender Equality Indices

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Pandemic Pressures and Public Health Care: Evidence from England

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Has EU accession boosted patents performance in the EU-13? -- A critical evaluation using causal impact analysis with Bayesian structural time-series models

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Contract design in electricity markets with high penetration of renewables: A two-stage approach

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The Impact of COVID-19 Pandemic on Ridesourcing Services Differed Between Small Towns and Large Cities

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Labor market conditions and college graduation

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Toward a More Populous Online Platform: The Economic Impacts of Compensated Reviews

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Human-centered mechanism design with Democratic AI

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