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?!
Avoiding the Crowd: Traveller Behaviour in Public Transport in the Age of COVID-19

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Approximate option pricing formula for Barndorff-Nielsen and Shephard model

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An Examination of Demographic Differences in Obtaining Investment and Financial Planning Information

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Adaptive learning for financial markets mixing model-based and model-free RL for volatility targeting

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Macroeconomic forecasting with statistically validated knowledge graphs

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Identification of Peer Effects with Miss-specified Peer Groups: Missing Data and Group Uncertainty

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Inferring Multi-Period Optimal Portfolios via Detrending Moving Average Cluster Entropy

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Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory

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Aiding Long-Term Investment Decisions with XGBoost Machine Learning Model

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Interpretability in deep learning for finance: a case study for the Heston model

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Deep Reinforcement Learning in a Monetary Model

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Exploratory Data Analysis of Electric Tricycle as Sustainable Public Transport Mode in General Santos City Using Logistic Regression

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Benford's laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity

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Optimal Algorithmic Monetary Policy

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Protecting gender and identity with disentangled speech representations

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Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

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"What's The Context?" : Long Context NLM Adaptation for ASR Rescoring in Conversational Agents

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Voice Privacy with Smart Digital Assistants in Educational Settings

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Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss

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HMM-Free Encoder Pre-Training for Streaming RNN Transducer

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Scene-aware Far-field Automatic Speech Recognition

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Accented Speech Recognition: A Survey

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Label-Synchronous Speech-to-Text Alignment for ASR Using Forward and Backward Transformers

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Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices

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On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era

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Review of end-to-end speech synthesis technology based on deep learning

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A cappella: Audio-visual Singing Voice Separation

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AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data

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Detection of Audio-Video Synchronization Errors Via Event Detection

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Interpreting intermediate convolutional layers of CNNs trained on raw speech

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Many-Speakers Single Channel Speech Separation with Optimal Permutation Training

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Low-Frequency Characterization of Music Sounds -- Ultra-Bass Richness from the Sound Wave Beats

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Best Practices for Noise-Based Augmentation to Improve the Performance of Emotion Recognition "In the Wild"

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MIMO Self-attentive RNN Beamformer for Multi-speaker Speech Separation

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NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

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Self-supervised Representation Learning With Path Integral Clustering For Speaker Diarization

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Detecting cognitive decline using speech only: The ADReSSo Challenge

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Exploring Deep Learning for Joint Audio-Visual Lip Biometrics

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KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset

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Multi-Metric Optimization using Generative Adversarial Networks for Near-End Speech Intelligibility Enhancement

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Spectrogram Inpainting for Interactive Generation of Instrument Sounds

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EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition

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EnvGAN: Adversarial Synthesis of Environmental Sounds for Data Augmentation

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Speaker Attentive Speech Emotion Recognition

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Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding

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Cross-Domain and Disentangled Face Manipulation with 3D Guidance

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Multiscale Vision Transformers

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KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control

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Pri3D: Can 3D Priors Help 2D Representation Learning?

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ManipulaTHOR: A Framework for Visual Object Manipulation

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Fully Convolutional Line Parsing

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Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks

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H2O: Two Hands Manipulating Objects for First Person Interaction Recognition

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VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text

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Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval

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Hierarchical growing grid networks for skeleton based action recognition

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Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition

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VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving

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ImageNet-21K Pretraining for the Masses

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So-ViT: Mind Visual Tokens for Vision Transformer

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FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

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Automated Tackle Injury Risk Assessment in Contact-Based Sports -- A Rugby Union Example

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Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images

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Token Labeling: Training a 85.5% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet

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A Strong Baseline for Vehicle Re-Identification

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DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

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BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving

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Meta-learning for skin cancer detection using Deep Learning Techniques

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Lighting the Darkness in the Deep Learning Era

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Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation

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Unsupervised anomaly detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS)using a deep residual autoencoder

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METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy

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Efficient LiDAR Odometry for Autonomous Driving

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NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study

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NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results

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Multi-task Learning with Attention for End-to-end Autonomous Driving

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PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation

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Lifting Monocular Events to 3D Human Poses

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SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer

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Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging

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Real-time dense 3D Reconstruction from monocular video data captured by low-cost UAVs

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Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection

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SSLM: Self-Supervised Learning for Medical Diagnosis from MR Video

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FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras

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PP-YOLOv2: A Practical Object Detector

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Measuring economic activity from space: a case study using flying airplanes and COVID-19

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Shadow Generation for Composite Image in Real-world Scenes

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Boundary-Aware 3D Object Detection from Point Clouds

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SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation

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Compact and Effective Representations for Sketch-based Image Retrieval

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Disentangled Face Identity Representations for joint 3D Face Recognition and Expression Neutralisation

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Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis

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Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery

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Voxel Structure-based Mesh Reconstruction from a 3D Point Cloud

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GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review

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Invertible Denoising Network: A Light Solution for Real Noise Removal

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A Two-Stage Attentive Network for Single Image Super-Resolution

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Brittle Features May Help Anomaly Detection

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Deep Transform and Metric Learning Networks

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A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation

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GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering

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TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution

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VideoGPT: Video Generation using VQ-VAE and Transformers

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Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset

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Contrastive Learning for Sports Video: Unsupervised Player Classification

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Style-Aware Normalized Loss for Improving Arbitrary Style Transfer

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Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications

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Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset

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CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval

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Semantic Segmentation by Improved Generative Adversarial Networks

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Data-driven vehicle speed detection from synthetic driving simulator images

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Boosting Masked Face Recognition with Multi-Task ArcFace

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Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning

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Visual Navigation with Spatial Attention

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An Efficient Approach for Anomaly Detection in Traffic Videos

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Flow-based Video Segmentation for Human Head and Shoulders

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Staircase Sign Method for Boosting Adversarial Attacks

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Detecting Vehicle Type and License Plate Number of different Vehicles on Images

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Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease

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DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device

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What is Wrong with One-Class Anomaly Detection?

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A simple vision-based navigation and control strategy for autonomous drone racing

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Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

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Manipulating SGD with Data Ordering Attacks

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Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation

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Quaternion Generative Adversarial Networks

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Engineering Sketch Generation for Computer-Aided Design

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Attention in Attention Network for Image Super-Resolution

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Axial-to-lateral super-resolution for 3D fluorescence microscopy using unsupervised deep learning

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Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training

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OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas

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Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image Sensor

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A Hierarchical Coding Scheme for Glasses-free 3D Displays Based on Scalable Hybrid Layered Representation of Real-World Light Fields

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A Multi-Task Deep Learning Framework for Building Footprint Segmentation

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DANICE: Domain adaptation without forgetting in neural image compression

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Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks

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Multi-person Implicit Reconstruction from a Single Image

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Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation

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LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network

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Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

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Compact CNN Structure Learning by Knowledge Distillation

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Conditional Variational Capsule Network for Open Set Recognition

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Face-GCN: A Graph Convolutional Network for 3D Dynamic Face Identification/Recognition

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Restoration of Video Frames from a Single Blurred Image with Motion Understanding

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TransCrowd: Weakly-Supervised Crowd Counting with Transformer

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Image Inpainting with External-internal Learning and Monochromic Bottleneck

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Neural Architecture Search for Image Super-Resolution Using Densely Constructed Search Space: DeCoNAS

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Distilling Knowledge via Knowledge Review

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Lidar Point Cloud Guided Monocular 3D Object Detection

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Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution

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Kernel Agnostic Real-world Image Super-resolution

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Masked Face Recognition using ResNet-50

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CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients

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Towards Open-World Text-Guided Face Image Generation and Manipulation

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Convolutional Neural Networks in Orthodontics: a review

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CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

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A survey of image labelling for computer vision applications

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CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

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On Training Sketch Recognizers for New Domains

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An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth

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Line Segmentation from Unconstrained Handwritten Text Images using Adaptive Approach

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Application of Computer Vision and Machine Learning for Digitized Herbarium Specimens: A Systematic Literature Review

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CLIPScore: A Reference-free Evaluation Metric for Image Captioning

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Lottery Jackpots Exist in Pre-trained Models

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IUPUI Driving Videos and Images in All Weather and Illumination Conditions

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Automated Mathematical Equation Structure Discovery for Visual Analysis

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Age Range Estimation using MTCNN and VGG-Face Model

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PARE: Part Attention Regressor for 3D Human Body Estimation

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Gaze Perception in Humans and CNN-Based Model

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Fashion-Guided Adversarial Attack on Person Segmentation

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StylePeople: A Generative Model of Fullbody Human Avatars

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High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks

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Assessment of deep learning based blood pressure prediction from PPG and rPPG signals

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End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving

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Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions

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Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising

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"Wikily" Neural Machine Translation Tailored to Cross-Lingual Tasks

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Open data for Moroccan license plates for OCR applications : data collection, labeling, and model construction

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Point-Based Modeling of Human Clothing

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MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement

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I Find Your Lack of Uncertainty in Computer Vision Disturbing

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Exploiting Global and Local Attentions for Heavy Rain Removal on Single Images

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Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation

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Advanced Deep Networks for 3D Mitochondria Instance Segmentation

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Weakly Supervised Object Localization and Detection: A Survey

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AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks

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Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment

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"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization

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Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN AutoEncoder

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Implementing CNN Layers on the Manticore Cluster-Based Many-Core Architecture

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Attention! Stay Focus!

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Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data

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MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation

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The Road Less Travelled: Trying And Failing To Generate Walking Simulators

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A learning gap between neuroscience and reinforcement learning

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XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction

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A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP

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Learning Fine-grained Fact-Article Correspondence in Legal Cases

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Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models

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Portfolio Search and Optimization for General Strategy Game-Playing

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MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training

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Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks

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Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations

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Text Summarization of Czech News Articles Using Named Entities

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Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks

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CVLight: Deep Reinforcement Learning for Adaptive Traffic Signal Control with Connected Vehicles

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Evidential Cyber Threat Hunting

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Network Defense is Not a Game

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Machine Learning Meets Natural Language Processing -- The story so far

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MBRL-Lib: A Modular Library for Model-based Reinforcement Learning

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Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring

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Semantic Knowledge Discovery and Discussion Mining of Incel Online Community: Topic modeling

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Hidden Biases in Unreliable News Detection Datasets

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EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task

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Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization

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RoFormer: Enhanced Transformer with Rotary Position Embedding

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CoDR: Computation and Data Reuse Aware CNN Accelerator

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Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes

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skweak: Weak Supervision Made Easy for NLP

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Transductive Learning for Abstractive News Summarization

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Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images

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TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers

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Generating explanations for answer set programming applications

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Modular Procedural Generation for Voxel Maps

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Deep Latent Emotion Network for Multi-Task Learning

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Generating Diverse and Competitive Play-Styles for Strategy Games

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AI supported Topic Modeling using KNIME-Workflows

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Agent-Centric Representations for Multi-Agent Reinforcement Learning

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Comprehensive systematic review into combinations of artificial intelligence, human factors, and automation

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Constraints Satisfiability Driven Reinforcement Learning for Autonomous Cyber Defense

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Reference-based Weak Supervision for Answer Sentence Selection using Web Data

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Attention-based Clinical Note Summarization

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A Simulated Experiment to Explore Robotic Dialogue Strategies for People with Dementia

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GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

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GooAQ: Open Question Answering with Diverse Answer Types

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Rethinking Network Pruning -- under the Pre-train and Fine-tune Paradigm

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Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning

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Training Humans to Train Robots Dynamic Motor Skills

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Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP

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EXTRACTOR: Extracting Attack Behavior from Threat Reports

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Embodying Pre-Trained Word Embeddings Through Robot Actions

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Accelerating Sparse Deep Neural Networks

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Text2App: A Framework for Creating Android Apps from Text Descriptions

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Ontology-based Feature Selection: A Survey

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TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction

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Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction

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Efficient and Generic 1D Dilated Convolution Layer for Deep Learning

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A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks

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Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research

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ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning

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PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models

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Sublanguage: A Serious Issue Affects Pretrained Models in Legal Domain

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Train Once and Use Forever: Solving Boundary Value Problems in Unseen Domains with Pre-trained Deep Learning Models

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InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks

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Deep learning for detecting bid rigging: Flagging cartel participants based on convolutional neural networks

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Online GANs for Automatic Performance Testing

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CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU

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Privacy-Preserved Blockchain-Federated-Learning for Medical Image Analysis Towards Multiple Parties

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AdaptiFont: Increasing Individuals' Reading Speed with a Generative Font Model and Bayesian Optimization

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