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?!

Music-to-Dance Generation with Optimal Transport

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ViNMT: Neural Machine Translation Tookit

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Machine Learning Application Development: Practitioners' Insights

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Domain Adaptation with Category Attention Network for Deep Sentiment Analysis

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AutoFITS: Automatic Feature Engineering for Irregular Time Series

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A General Traffic Shaping Protocol in E-Commerce

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Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification

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Deep Learning Models for Knowledge Tracing: Review and Empirical Evaluation

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On the Role of Neural Collapse in Transfer Learning

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Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques

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Persformer: A Transformer Architecture for Topological Machine Learning

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Training Recurrent Neural Networks by Sequential Least Squares and the Alternating Direction Method of Multipliers

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Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models

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Machine learning based disease diagnosis: A comprehensive review

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Matrix Decomposition and Applications

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Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability

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Learning shared neural manifolds from multi-subject FMRI data

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Feature matching as improved transfer learning technique for wearable EEG

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Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization

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Automatic Pharma News Categorization

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Improved Topic modeling in Twitter through Community Pooling

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Validation and Transparency in AI systems for pharmacovigilance: a case study applied to the medical literature monitoring of adverse events

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DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection

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MLOps -- Definitions, Tools and Challenges

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AutoDES: AutoML Pipeline Generation of Classification with Dynamic Ensemble Strategy Selection

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Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning

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Thinking inside the box: A tutorial on grey-box Bayesian optimization

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The DONUT Approach to EnsembleCombination Forecasting

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Machine learning approaches for localized lockdown during COVID-19: a case study analysis

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A Mixed Integer Programming Approach to Training Dense Neural Networks

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Deep neural networks for smooth approximation of physics with higher order and continuity B-spline base functions

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A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks

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Efficient Quantum Feature Extraction for CNN-based Learning

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Survey on the Convergence of Machine Learning and Blockchain

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Trusting Machine Learning Results from Medical Procedures in the Operating Room

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Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy

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ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints

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Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective

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An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering

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Earthquake Nowcasting with Deep Learning

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An exploratory experiment on Hindi, Bengali hate-speech detection and transfer learning using neural networks

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Sentiment Analysis and Sarcasm Detection of Indian General Election Tweets

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Neural Architecture Search for Inversion

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CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs

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A deep learning-based model reduction (DeePMR) method for simplifying chemical kinetics

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Deep Fusion of Lead-lag Graphs:Application to Cryptocurrencies

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Deep Causal Reasoning for Recommendations

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Deep Learning Assisted End-to-End Synthesis of mm-Wave Passive Networks with 3D EM Structures: A Study on A Transformer-Based Matching Network

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Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

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SPViT: Enabling Faster Vision Transformers via Soft Token Pruning

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RheFrameDetect: A Text Classification System for Automatic Detection of Rhetorical Frames in AI from Open Sources

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Automatic Mixed-Precision Quantization Search of BERT

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ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer

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Chatbot for fitness management using IBM Watson

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From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions

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An Intelligent Self-driving Truck System For Highway Transportation

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Social Neuro AI: Social Interaction as the "dark matter" of AI

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A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More

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Making AI 'Smart': Bridging AI and Cognitive Science

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A Literature Review on Length of Stay Prediction for Stroke Patients using Machine Learning and Statistical Approaches

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A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting

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TransLog: A Unified Transformer-based Framework for Log Anomaly Detection

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The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling

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Distributed Evolution Strategies Using TPUs for Meta-Learning

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Learning Free Gait Transition for Quadruped Robots via Phase-Guided Controller

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Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario

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Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review

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Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction

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Feature Selection-based Intrusion Detection System Using Genetic Whale Optimization Algorithm and Sample-based Classification

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Relating Blindsight and AI: A Review

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An EEG-based approach for Parkinson's disease diagnosis using Capsule network

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Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI

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Execute Order 66: Targeted Data Poisoning for Reinforcement Learning

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Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure

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Learning Operators with Coupled Attention

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Interpretable Low-Resource Legal Decision Making

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Neural Myerson Auction for Truthful and Energy-Efficient Autonomous Aerial Data Delivery

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Super-resolution in Molecular Dynamics Trajectory Reconstruction with Bi-Directional Neural Networks

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Speech-to-SQL: Towards Speech-driven SQL Query Generation From Natural Language Question

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ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions

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The CAMELS project: public data release

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ZeroBERTo -- Leveraging Zero-Shot Text Classification by Topic Modeling

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Mining Adverse Drug Reactions from Unstructured Mediums at Scale

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Monitoring Energy Trends through Automatic Information Extraction

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Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters using Explainable AI techniques

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Multi Document Reading Comprehension

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Relationship extraction for knowledge graph creation from biomedical literature

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NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting

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Does entity abstraction help generative Transformers reason?

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Privacy-Friendly Peer-to-Peer Energy Trading: A Game Theoretical Approach

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Machine Learning: Algorithms, Models, and Applications

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Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection

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Forming Predictive Features of Tweets for Decision-Making Support

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A wearable sensor vest for social humanoid robots with GPGPU, IoT, and modular software architecture

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Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria

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Deep Reinforcement Learning

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Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding

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Knowledge Matters: Radiology Report Generation with General and Specific Knowledge

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Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment

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Data-Free Knowledge Transfer: A Survey

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CSformer: Bridging Convolution and Transformer for Compressive Sensing

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SplitBrain: Hybrid Data and Model Parallel Deep Learning

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Transfer learning for cancer diagnosis in histopathological images

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Learning Inception Attention for Image Synthesis and Image Recognition

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SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences

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Exploring the pattern of Emotion in children with ASD as an early biomarker through Recurring-Convolution Neural Network (R-CNN)

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Development of a face mask detection pipeline for mask-wearing monitoring in the era of the COVID-19 pandemic: A modular approach

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Pose Estimation of Specific Rigid Objects

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Feature Extraction and Prediction for Hand Hygiene Gestures with KNN Algorithm

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Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

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Stochastic Layers in Vision Transformers

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Towards Robustness of Neural Networks

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Visual and Object Geo-localization: A Comprehensive Survey

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P2P-Loc: Point to Point Tiny Person Localization

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Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints

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InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering

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PiFeNet: Pillar-Feature Network for Real-Time 3D Pedestrian Detection from Point Cloud

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Cloud Removal from Satellite Images

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3-D Material Style Transfer for Reconstructing Unknown Appearance in Complex Natural Materials

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Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images

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Development of Diabetic Foot Ulcer Datasets: An Overview

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Deep Learning Applications for Lung Cancer Diagnosis: A systematic review

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DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

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MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules

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FUSeg: The Foot Ulcer Segmentation Challenge

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Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark

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RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark

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Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model

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Multi-Dimensional Model Compression of Vision Transformer

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iCaps: Iterative Category-level Object Pose and Shape Estimation

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SalyPath360: Saliency and Scanpath Prediction Framework for Omnidirectional Images

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SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators

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SAFL: A Self-Attention Scene Text Recognizer with Focal Loss

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Turath-150K: Image Database of Arab Heritage

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SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement

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V-LinkNet: Learning Contextual Inpainting Across Latent Space of Generative Adversarial Network

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Detail-Preserving Transformer for Light Field Image Super-Resolution

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Parkour Spot ID: Feature Matching in Satellite and Street view images using Deep Learning

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Splicing ViT Features for Semantic Appearance Transfer

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Scene Graph Generation: A Comprehensive Survey

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D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation

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Vision Transformer with Deformable Attention

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GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings

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FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment

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Implicit Autoencoder for Point Cloud Self-supervised Representation Learning

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DFA-NeRF: Personalized Talking Head Generation via Disentangled Face Attributes Neural Rendering

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A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images

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Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

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Runway Extraction and Improved Mapping from Space Imagery

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StyleM: Stylized Metrics for Image Captioning Built with Contrastive N-grams

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Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification

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Towards Unsupervised Open World Semantic Segmentation

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Learning Quality-aware Representation for Multi-person Pose Regression

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Data Augmentation for Depression Detection Using Skeleton-Based Gait Information

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Automated 3D reconstruction of LoD2 and LoD1 models for all 10 million buildings of the Netherlands

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Self-supervised Learning from 100 Million Medical Images

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A Transformer-Based Siamese Network for Change Detection

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Challenges of Artificial Intelligence -- From Machine Learning and Computer Vision to Emotional Intelligence

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FAVER: Blind Quality Prediction of Variable Frame Rate Videos

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Fusing Convolutional Neural Network and Geometric Constraint for Image-based Indoor Localization

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Synthesizing Tensor Transformations for Visual Self-attention

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Latent Vector Expansion using Autoencoder for Anomaly Detection

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Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation

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Sign Language Recognition System using TensorFlow Object Detection API

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Culture-to-Culture Image Translation with Generative Adversarial Networks

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Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network with Graph Representation Learning

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All You Need In Sign Language Production

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Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis

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Probing TryOnGAN

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Multiple Sclerosis Lesions Segmentation using Attention-Based CNNs in FLAIR Images

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On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving

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Memory-guided Image De-raining Using Time-Lapse Data

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Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling

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Self-Training Vision Language BERTs with a Unified Conditional Model

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Enhancing Egocentric 3D Pose Estimation with Third Person Views

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A Light in the Dark: Deep Learning Practices for Industrial Computer Vision

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ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language

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EM-driven unsupervised learning for efficient motion segmentation

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HyperionSolarNet: Solar Panel Detection from Aerial Images

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Eye Know You Too: A DenseNet Architecture for End-to-end Biometric Authentication via Eye Movements

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Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks

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InverseMV: Composing Piano Scores with a Convolutional Video-Music Transformer

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IQDUBBING: Prosody modeling based on discrete self-supervised speech representation for expressive voice conversion

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Evaluating Deep Music Generation Methods Using Data Augmentation

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Generating Adversarial Samples For Training Wake-up Word Detection Systems Against Confusing Words

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Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach

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COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study

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Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough

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Robust Self-Supervised Audio-Visual Speech Recognition

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Landscape of Academic Finance with the Structural Topic Model

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Dimensionality reduction for prediction: Application to Bitcoin and Ethereum

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Towards the global vision of engagement of Generation Z at the workplace: Mathematical modeling

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Lunatic Stocks: Moon Phases as Irregular Sampling Features for Pattern Recognition in the Stock Markets

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Forecasting pandemic tax revenues in a small, open economy

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Exact Post-selection Inference For Tracking S&P500

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They Still Haven't Told You

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The International Monetary Funds intervention in education systems and its impact on childrens chances of completing school

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COVID Lessons: Was there any way to reduce the negative effect of COVID-19 on the United States economy?

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LSTM Architecture for Oil Stocks Prices Prediction

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Technology Mapping Using WebAI: The Case of 3D Printing

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Stablecoins: Survivorship, Transactions Costs and Exchange Microstructure

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Buy Now, Pay Later (BNPL)...On Your Credit Card

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