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?!

A Time-Varying Network for Cryptocurrencies

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Market Crash Prediction Model for Markets in A Rational Bubble

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Unihedge -- A decentralized market prediction platform

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Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling

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Prevention of Terrorist Crimes in the North Caucasus Region

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Crypto Wash Trading

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Deep Signature FBSDE Algorithm

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Robust Risk-Aware Reinforcement Learning

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Effect of Share Capital on Financial Growth of Non-Financial Firms Listed at the Nairobi Securities Exchange

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Previsão dos preços de abertura, mínima e máxima de índices de mercados financeiros usando a associação de redes neurais LSTM

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Community Detection in Cryptocurrencies with Potential Applications to Portfolio Diversification

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Fragmentation, Price Formation, and Cross-Impact in Bitcoin Markets

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Deep Sequence Modeling: Development and Applications in Asset Pricing

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Self-Attention for Audio Super-Resolution

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A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement

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Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating Methods

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With One Voice: Composing a Travel Voice Assistant from Re-purposed Models

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Integrated Speech and Gesture Synthesis

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AccoMontage: Accompaniment Arrangement via Phrase Selection and Style Transfer

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Temporal envelope and fine structure cues for dysarthric speech detection using CNNs

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Differential Music: Automated Music Generation Using LSTM Networks with Representation Based on Melodic and Harmonic Intervals

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One TTS Alignment To Rule Them All

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Curricular SincNet: Towards Robust Deep Speaker Recognition by Emphasizing Hard Samples in Latent Space

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Scorpiano -- A System for Automatic Music Transcription for Monophonic Piano Music

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Learning Sparse Analytic Filters for Piano Transcription

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End-to-End Open Vocabulary Keyword Search

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Automatic Speech Recognition using limited vocabulary: A survey

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Estimation of Playable Piano Fingering by Pitch-difference Fingering Matching Model

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Parsing Birdsong with Deep Audio Embeddings

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Similar Scenes arouse Similar Emotions: Parallel Data Augmentation for Stylized Image Captioning

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Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural Networks

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Fast and Flexible Human Pose Estimation with HyperPose

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State of the Art: Face Recognition

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Mining Contextual Information Beyond Image for Semantic Segmentation

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State of the Art: Image Hashing

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ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation

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An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset

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Learning to Diversify for Single Domain Generalization

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PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning

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Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning

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SketchLattice: Latticed Representation for Sketch Manipulation

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XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches

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TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios

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Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey

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Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach

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Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices

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Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder

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PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation

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NeighCNN: A CNN based SAR Speckle Reduction using Feature preserving Loss Function

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Generalized Real-World Super-Resolution through Adversarial Robustness

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CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training

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Automatic Feature Highlighting in Noisy RES Data With CycleGAN

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YOLOP: You Only Look Once for Panoptic Driving Perception

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Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation

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Semantic Scene Segmentation for Robotics Applications

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AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection

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GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection

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TransFER: Learning Relation-aware Facial Expression Representations with Transformers

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Efficient Transformer for Single Image Super-Resolution

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3D Face Recognition: A Survey

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Heredity-aware Child Face Image Generation with Latent Space Disentanglement

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Normal Learning in Videos with Attention Prototype Network

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Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images

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Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE

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Wanderlust: Online Continual Object Detection in the Real World

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OOWL500: Overcoming Dataset Collection Bias in the Wild

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An Effective Pixel-Wise Approach for Skin Colour Segmentation Using Pixel Neighbourhood Technique

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Real-time Indian Sign Language (ISL) Recognition

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SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

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NGC: A Unified Framework for Learning with Open-World Noisy Data

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A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training

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A QuadTree Image Representation for Computational Pathology

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DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras

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imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose

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Improving 3D Object Detection with Channel-wise Transformer

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Pen Spinning Hand Movement Analysis Using MediaPipe Hands

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PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation

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Spatio-Temporal Self-Attention Network for Video Saliency Prediction

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Full-Velocity Radar Returns by Radar-Camera Fusion

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Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery

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Auto-Parsing Network for Image Captioning and Visual Question Answering

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StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures

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ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation

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ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones

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Learning Motion Priors for 4D Human Body Capture in 3D Scenes

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edge-SR: Super-Resolution For The Masses

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All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning

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Exploring Simple 3D Multi-Object Tracking for Autonomous Driving

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ChiNet: Deep Recurrent Convolutional Learning for Multimodal Spacecraft Pose Estimation

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Vogtareuth Rehab Depth Datasets: Benchmark for Marker-less Posture Estimation in Rehabilitation

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Pattern Inversion as a Pattern Recognition Method for Machine Learning

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Adaptable GAN Encoders for Image Reconstruction via Multi-type Latent Vectors with Two-scale Attentions

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LivDet 2021 Fingerprint Liveness Detection Competition -- Into the unknown

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ZS-SLR: Zero-Shot Sign Language Recognition from RGB-D Videos

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Discovering Spatial Relationships by Transformers for Domain Generalization

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Realistic Image Synthesis with Configurable 3D Scene Layouts

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Exploring the Quality of GAN Generated Images for Person Re-Identification

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Voxel-based Network for Shape Completion by Leveraging Edge Generation

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The 2nd Anti-UAV Workshop & Challenge: Methods and Results

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Face Photo-Sketch Recognition Using Bidirectional Collaborative Synthesis Network

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Relating CNNs with brain: Challenges and findings

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Graph2Pix: A Graph-Based Image to Image Translation Framework

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Spatial Transformer Networks for Curriculum Learning

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SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction

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Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition

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A Synthesis-Based Approach for Thermal-to-Visible Face Verification

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MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?

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Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model

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Detecting and Segmenting Adversarial Graphics Patterns from Images

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Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image

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SwinIR: Image Restoration Using Swin Transformer

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Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application

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Flikcer -- A Chrome Extension to Resolve Online Epileptogenic Visual Content with Real-Time Luminance Frequency Analysis

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OSRM-CCTV: Open-source CCTV-aware routing and navigation system for privacy, anonymity and safety (Preprint)

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Zoom, Enhance! Measuring Surveillance GAN Up-sampling

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MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction

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Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis

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Towards Photorealistic Colorization by Imagination

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Knowledge Distillation from Ensemble of Offsets for Head Pose Estimation

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Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance

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Convolutional Neural Network (CNN) vs Visual Transformer (ViT) for Digital Holography

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A Contactless Fingerprint Recognition System

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Is it Time to Replace CNNs with Transformers for Medical Images?

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Single Underwater Image Enhancement Using an Analysis-Synthesis Network

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Indoor Scene Generation from a Collection of Semantic-Segmented Depth Images

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DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection

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Deep Virtual Markers for Articulated 3D Shapes

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Semi-supervised learning for medical image classification using imbalanced training data

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Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset -- Addressing the Noise-Latent Trade-Off

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Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach

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Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search

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Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data

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Deep Learning-based Spacecraft Relative Navigation Methods: A Survey

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From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey

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Sketches for Time-Dependent Machine Learning

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Federated Reinforcement Learning: Techniques, Applications, and Open Challenges

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AI at work -- Mitigating safety and discriminatory risk with technical standards

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Gene Transformer: Transformers for the Gene Expression-based Classification of Cancer Subtypes

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Magnetic Field Sensing for Pedestrian and Robot Indoor Positioning

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Human readable network troubleshooting based on anomaly detection and feature scoring

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Photos Are All You Need for Reciprocal Recommendation in Online Dating

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Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial

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CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation

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Identification of the Resting Position Based on EGG, ECG, Respiration Rate and SpO2 Using Stacked Ensemble Learning

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Understanding Attention in Machine Reading Comprehension

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ETA Prediction with Graph Neural Networks in Google Maps

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Model-based Decision Making with Imagination for Autonomous Parking

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YANMTT: Yet Another Neural Machine Translation Toolkit

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Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation

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GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity

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Quantum Artificial Intelligence for the Science of Climate Change

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Knowledge-based XAI through CBR: There is more to explanations than models can tell

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Greenformers: Improving Computation and Memory Efficiency in Transformer Models via Low-Rank Approximation

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Graph Neural Networks: Methods, Applications, and Opportunities

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Taming the Beast: Learning to Control Neural Conversational Models

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Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications

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A New Constructive Heuristic driven by Machine Learning for the Traveling Salesman Problem

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CGEMs: A Metric Model for Automatic Code Generation using GPT-3

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Credit Card Fraud Detection using Machine Learning: A Study

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Fluent: An AI Augmented Writing Tool for People who Stutter

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Embodied AI-Driven Operation of Smart Cities: A Concise Review

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Learning Causal Models of Autonomous Agents using Interventions

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DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices

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Towards Personalized and Human-in-the-Loop Document Summarization

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ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks

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Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey

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EEG-based Classification of Drivers Attention using Convolutional Neural Network

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Integrating LSTMs and GNNs for COVID-19 Forecasting

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DTWSSE: Data Augmentation with a Siamese Encoder for Time Series

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Personalised Federated Learning: A Combinational Approach

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Apache Submarine: A Unified Machine Learning Platform Made Simple

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Hierarchical Summarization for Longform Spoken Dialog

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One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles

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An Empirical Cybersecurity Evaluation of GitHub Copilot's Code Contributions

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MHealth: An Artificial Intelligence Oriented Mobile Application for Personal Healthcare Support

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Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task

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MOFit: A Framework to reduce Obesity using Machine learning and IoT

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Enabling SQL-based Training Data Debugging for Federated Learning

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Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach

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Fast Accurate Defect Detection in Wafer Fabrication

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Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference

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Machine Learning for Mediation in Armed Conflicts

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A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales

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Fine-tuning Pretrained Language Models with Label Attention for Explainable Biomedical Text Classification

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Training a discrete variational autoencoder for generative chemistry and drug design on a quantum annealer

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Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization

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Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning

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Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints

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DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates

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Predicting Vehicles' Longitudinal Trajectories and Lane Changes on Highway On-Ramps

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S&P 500 Stock Price Prediction Using Technical, Fundamental and Text Data

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ComSum: Commit Messages Summarization and Meaning Preservation

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Measuring Wikipedia Article Quality in One Dimension by Extending ORES with Ordinal Regression

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Counterfactual Explainable Recommendation

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C5T5: Controllable Generation of Organic Molecules with Transformers

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Collect & Infer -- a fresh look at data-efficient Reinforcement Learning

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Molecular Design Based on Artificial Neural Networks, Integer Programming and Grid Neighbor Search

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Graph Attention Multi-Layer Perceptron

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An Interpretable Approach to Hateful Meme Detection

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A Boosting Approach to Reinforcement Learning

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ExamGAN and Twin-ExamGAN for Exam Script Generation

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New Q-Newton's method meets Backtracking line search: good convergence guarantee, saddle points avoidance, quadratic rate of convergence, and easy implementation

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SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition

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Pediatric Automatic Sleep Staging: A comparative study of state-of-the-art deep learning methods

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No DBA? No regret! Multi-armed bandits for index tuning of analytical and HTAP workloads with provable guarantees

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Modeling COVID-19 uncertainties evolving over time and density-dependent social reinforcement and asymptomatic infections

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Sarcasm Detection in Twitter -- Performance Impact when using Data Augmentation: Word Embeddings

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A Systematic Literature Review of Automated Query Reformulations in Source Code Search

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Evaluation Methodologies for Code Learning Tasks

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Term Interrelations and Trends in Software Engineering

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Fast Sketching of Polynomial Kernels of Polynomial Degree

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User Localization Based on Call Detail Records

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Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks

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DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction

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PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic

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Mitigating Greenhouse Gas Emissions Through Generative Adversarial Networks Based Wildfire Prediction

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Topo2vec: Topography Embedding Using the Fractal Effect

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A Recommender System for Scientific Datasets and Analysis Pipelines

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An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks

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CloudShield: Real-time Anomaly Detection in the Cloud

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