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?!

The effective noise of Stochastic Gradient Descent

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VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements

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Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model

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Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions

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More is Less: Inducing Sparsity via Overparameterization

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Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG

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Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time

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Extending CLIP for Category-to-image Retrieval in E-commerce

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GCN-Geo: A Graph Convolution Network-based Fine-grained IP Geolocation System

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Natural language processing to identify lupus nephritis phenotype in electronic health records

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Enabling NAS with Automated Super-Network Generation

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Provable Hierarchical Lifelong Learning with a Sketch-based Modular Architecture

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A Pilot Study on Detecting Unfairness in Human Decisions With Machine Learning Algorithmic Bias Detection

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Machine Learning Emulation of Urban Land Surface Processes

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LSH methods for data deduplication in a Wikipedia artificial dataset

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AtteSTNet -- An attention and subword tokenization based approach for code-switched Hindi-English hate speech detection

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BACON: Deep-Learning Powered AI for Poetry Generation with Author Linguistic Style Transfer

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Towards Malicious address identification in Bitcoin

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DRF Codes: Deep SNR-Robust Feedback Codes

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Movie Recommender System using critic consensus

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Catch Me If You GAN: Using Artificial Intelligence for Fake Log Generation

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Predicting treatment effects from observational studies using machine learning methods: A simulation study

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Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems

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Squareplus: A Softplus-Like Algebraic Rectifier

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Continual learning of longitudinal health records

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Evaluating categorical encoding methods on a real credit card fraud detection database

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Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications

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Machine Learning for Computational Science and Engineering -- a brief introduction and some critical questions

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Comprehensive Movie Recommendation System

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How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation

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Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health

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Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery

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Crash Data Augmentation Using Conditional Generative Adversarial Networks (CGAN) for Improving Safety Performance Functions

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A Robust Initialization of Residual Blocks for Effective ResNet Training without Batch Normalization

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LAME: Layout Aware Metadata Extraction Approach for Research Articles

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Newsvendor Model with Deep Reinforcement Learning

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Reinforced Meta-path Selection for Recommendation on Heterogeneous Information Networks

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Spoiler in a Textstack: How Much Can Transformers Help?

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Supraventricular Tachycardia Detection and Classification Model of ECG signal Using Machine Learning

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Machine Learning-based Efficient Ventricular Tachycardia Detection Model of ECG Signal

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AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands

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Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow

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Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings

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Hamtajoo: A Persian Plagiarism Checker for Academic Manuscripts

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Contextual Sentence Analysis for the Sentiment Prediction on Financial Data

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A machine learning analysis of the relationship between some underlying medical conditions and COVID-19 susceptibility

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Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asia

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Neural Network Module Decomposition and Recomposition

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Pedagogical Rule Extraction for Learning Interpretable Models

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Will You Dance To The Challenge? Predicting User Participation of TikTok Challenges

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A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction

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Anomaly Detection using Capsule Networks for High-dimensional Datasets

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Wholesale Electricity Price Forecasting using Integrated Long-term Recurrent Convolutional Network Model

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SAME: Scenario Adaptive Mixture-of-Experts for Promotion-Aware Click-Through Rate Prediction

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Intelligent EHRs: Predicting Procedure Codes From Diagnosis Codes

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The impact of students behaviour, their approach, emotions and problem difficulty level on the performance prediction, evaluation and overall learning process during online coding activities

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Profile Guided Optimization without Profiles: A Machine Learning Approach

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Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators

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Financial Vision Based Differential Privacy Applications

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Altitude Optimization of UAV Base Stations from Satellite Images Using Deep Neural Network

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Improving Learning-to-Defer Algorithms Through Fine-Tuning

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DB-BERT: a Database Tuning Tool that "Reads the Manual"

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Task-oriented Dialogue Systems: performance vs. quality-optima, a review

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AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version

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Building a Decision Support System for Automated Mobile Asthma Monitoring in Remote Areas

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Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles

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A next-generation platform for Cyber Range-as-a-Service

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Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems

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Toward Explainable AI for Regression Models

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Automated Drug-Related Information Extraction from French Clinical Documents: ReLyfe Approach

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ESAN: Efficient Sentiment Analysis Network of A-Shares Research Reports for Stock Price Prediction

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Translating Human Mobility Forecasting through Natural Language Generation

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The Phonetic Footprint of Parkinson's Disease

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Diformer: Directional Transformer for Neural Machine Translation

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Graph augmented Deep Reinforcement Learning in the GameRLand3D environment

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A Survey of Natural Language Generation

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Automatic Product Copywriting for E-Commerce

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VoiceMoji: A Novel On-Device Pipeline for Seamless Emoji Insertion in Dictation

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Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies

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Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions

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Evaluating the Robustness of Deep Reinforcement Learning for Autonomous and Adversarial Policies in a Multi-agent Urban Driving Environment

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English-to-Chinese Transliteration with Phonetic Back-transliteration

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ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate Data

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Investigating Effect of Dialogue History in Multilingual Task Oriented Dialogue Systems

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Making sense of electrical vehicle discussions using sentiment analysis on closely related news and user comments

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A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone

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From Procedures, Objects, Actors, Components, Services, to Agents -- A Comparative Analysis of the History and Evolution of Programming Abstractions

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A deep reinforcement learning model for predictive maintenance planning of road assets: Integrating LCA and LCCA

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Curriculum Learning for Safe Mapless Navigation

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Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

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Toward a New Science of Common Sense

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An Ontological Knowledge Representation for Smart Agriculture

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Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling

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DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks

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Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification

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A Survey on Interpretable Reinforcement Learning

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Cyberattack Detection in Large-Scale Smart Grids using Chebyshev Graph Convolutional Networks

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Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?

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A Preliminary Study for Literary Rhyme Generation based on Neuronal Representation, Semantics and Shallow Parsing

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Deeper Clinical Document Understanding Using Relation Extraction

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Perlin Noise Improve Adversarial Robustness

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ArT: All-round Thinker for Unsupervised Commonsense Question-Answering

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Duck swarm algorithm: a novel swarm intelligence algorithm

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Learn Layer-wise Connections in Graph Neural Networks

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Personalized Lane Change Decision Algorithm Using Deep Reinforcement Learning Approach

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Move As You Like: Image Animation in E-Commerce Scenario

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Alpha-Mini: Minichess Agent with Deep Reinforcement Learning

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Agent Smith: Teaching Question Answering to Jill Watson

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AU Dataset for Visuo-Haptic Object Recognition for Robots

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Learning to Walk with Dual Agents for Knowledge Graph Reasoning

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Abstractions of General Reinforcement Learning

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Relative velocity-based reward functions for crowd navigation of robots

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Fake or Genuine? Contextualised Text Representation for Fake Review Detection

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Baihe: SysML Framework for AI-driven Databases

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Fine-Tuning Transformers: Vocabulary Transfer

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Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence

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HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images

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Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation

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Implicit Neural Video Compression

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RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation

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Lite Vision Transformer with Enhanced Self-Attention

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One Sketch for All: One-Shot Personalized Sketch Segmentation

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Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion

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Pixel-Stega: Generative Image Steganography Based on Autoregressive Models

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Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning

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MPViT: Multi-Path Vision Transformer for Dense Prediction

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fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits

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SOIT: Segmenting Objects with Instance-Aware Transformers

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PONet: Robust 3D Human Pose Estimation via Learning Orientations Only

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Cloud Sphere: A 3D Shape Representation via Progressive Deformation

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Hateful Memes Challenge: An Enhanced Multimodal Framework

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PointCaps: Raw Point Cloud Processing using Capsule Networks with Euclidean Distance Routing

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Image quality enhancement of embedded holograms in holographic information hiding using deep neural networks

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Review of Face Presentation Attack Detection Competitions

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iSegFormer: Interactive Image Segmentation with Transformers

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Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass

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Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects

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Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2021

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Learned Queries for Efficient Local Attention

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GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping

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Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation

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Multimodal Analysis of memes for sentiment extraction

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Real-time Street Human Motion Capture

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Decompose the Sounds and Pixels, Recompose the Events

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AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation

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EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images

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JoJoGAN: One Shot Face Stylization

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YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles

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Binary Image Skeletonization Using 2-Stage U-Net

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A Discriminative Single-Shot Segmentation Network for Visual Object Tracking

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Page Segmentation using Visual Adjacency Analysis

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Automatic Estimation of Anthropometric Human Body Measurements

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Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia Content

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A Single-Target License Plate Detection with Attention

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Two Stream Network for Stroke Detection in Table Tennis

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Spatio-Temporal CNN baseline method for the Sports Video Task of MediaEval 2021 benchmark

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Reflash Dropout in Image Super-Resolution

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Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving

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Open-Vocabulary Image Segmentation

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Human Activity Recognition on wrist-worn accelerometers using self-supervised neural networks

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AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis

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Improved 2D Keypoint Detection in Out-of-Balance and Fall Situations -- combining input rotations and a kinematic model

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Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles

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Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network

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InstaIndoor and Multi-modal Deep Learning for Indoor Scene Recognition

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Your Face Mirrors Your Deepest Beliefs-Predicting Personality and Morals through Facial Emotion Recognition

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LaTr: Layout-Aware Transformer for Scene-Text VQA

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3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve

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TagLab: A human-centric AI system for interactive semantic segmentation

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BANMo: Building Animatable 3D Neural Models from Many Casual Videos

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ELSA: Enhanced Local Self-Attention for Vision Transformer

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CatchBackdoor: Backdoor Testing by Critical Trojan Neural Path Identification via Differential Fuzzing

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Does MAML Only Work via Feature Re-use? A Data Centric Perspective

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Fast 2D Convolutions and Cross-Correlations Using Scalable Architectures

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DSRGAN: Detail Prior-Assisted Perceptual Single Image Super-Resolution via Generative Adversarial Networks

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Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression

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Learning Cross-Scale Prediction for Efficient Neural Video Compression

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MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer

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Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN)

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DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation

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Generation of Synthetic Rat Brain MRI scans with a 3D Enhanced Alpha-GAN

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Infant Brain Age Classification: 2D CNN Outperforms 3D CNN in Small Dataset

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Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation

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Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective

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Realtime Global Attention Network for Semantic Segmentation

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Deep ensembles in bioimage segmentation

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SGTR: End-to-end Scene Graph Generation with Transformer

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iSeg3D: An Interactive 3D Shape Segmentation Tool

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US-GAN: On the importance of Ultimate Skip Connection for Facial Expression Synthesis

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Benchmarking Pedestrian Odometry: The Brown Pedestrian Odometry Dataset (BPOD)

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Virtuoso: Video-based Intelligence for real-time tuning on SOCs

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Multi-Scale Feature Fusion: Learning Better Semantic Segmentation for Road Pothole Detection

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SimViT: Exploring a Simple Vision Transformer with sliding windows

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Vision Transformer for Small-Size Datasets

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ViR:the Vision Reservoir

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Multimodal Image Synthesis and Editing: A Survey

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AdaptivePose: Human Parts as Adaptive Points

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Visual Place Representation and Recognition from Depth Images

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Active Learning with Pseudo-Labels for Multi-View 3D Pose Estimation

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SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos

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MSeg: A Composite Dataset for Multi-domain Semantic Segmentation

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Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation

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Astronomical Image Colorization and upscaling with Generative Adversarial Networks

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MedShift: identifying shift data for medical dataset curation

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Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization

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DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification

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Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge

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Implementation of Convolutional Neural Network Architecture on 3D Multiparametric Magnetic Resonance Imaging for Prostate Cancer Diagnosis

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Raw Produce Quality Detection with Shifted Window Self-Attention

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Human View Synthesis using a Single Sparse RGB-D Input

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A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision

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SPViT: Enabling Faster Vision Transformers via Soft Token Pruning

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Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

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SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds

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Quaternion-based dynamic mode decomposition for background modeling in color videos

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Siamese Network with Interactive Transformer for Video Object Segmentation

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LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image Manipulation

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Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention

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APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers

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Synchronized Audio-Visual Frames with Fractional Positional Encoding for Transformers in Video-to-Text Translation

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Extended Self-Critical Pipeline for Transforming Videos to Text (TRECVID-VTT Task 2021) -- Team: MMCUniAugsburg

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360° Optical Flow using Tangent Images

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Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction

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Invertible Image Dataset Protection

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Res2NetFuse: A Fusion Method for Infrared and Visible Images

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Gendered Differences in Face Recognition Accuracy Explained by Hairstyles, Makeup, and Facial Morphology

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MetaGraspNet: A Large-Scale Benchmark Dataset forVision-driven Robotic Grasping via Physics-basedMetaverse Synthesis

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StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

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Mixed Precision of Quantization of Transformer Language Models for Speech Recognition

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Are E2E ASR models ready for an industrial usage?

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Multi-speaker Multi-style Text-to-speech Synthesis With Single-speaker Single-style Training Data Scenarios

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Enabling Real-time On-chip Audio Super Resolution for Bone Conduction Microphones

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Novel Dual-Channel Long Short-Term Memory Compressed Capsule Networks for Emotion Recognition

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Multi-Dialect Arabic Speech Recognition

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Bilingual Speech Recognition by Estimating Speaker Geometry from Video Data

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On the decomposition of an insurer's profits and losses

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Role of Variable Renewable Energy Penetration on Electricity Price and its Volatility Across Independent System Operators in the United States

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Associational and plausible causal effects of COVID-19 public health policies on economic and mental distress

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Double Standards: The Implications of Near Certainty Drone Strikes in Pakistan

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Product traits, decision-makers, and household low-carbon technology adoptions: moving beyond single empirical studies

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Spread Option Pricing in a Copula Affine GARCH(p,q) Model

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Multi-modal Attention Network for Stock Movements Prediction

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Prosperity or pollution? Mineral mining and regional growth in industrializing Japan

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Perspectives in Public and University Sector Co-operation in the Change of Higher Education Model in Hungary, in Light of China's Experience

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