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?!

Neural Options Pricing

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An Introduction To Regret Minimization In Algorithmic Trading: A Survey of Universal Portfolio Techniques

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Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading

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Managing Manufacturing and Delivery of Personalised Medicine: Current and Future Models

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Bitcoin: Like a Satellite or Always Hardcore? A Core-Satellite Identification in the Cryptocurrency Market

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On the Return Distributions of a Basket of Cryptocurrencies and Subsequent Implications

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Effects of COVID-19 Vaccine Developments and Rollout on the Capital Market -- A Case Study

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Can we imitate stock price behavior to reinforcement learn option price?

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Optimal system design for energy communities in multi-family buildings: the case of the German Tenant Electricity Law

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Financial Time Series Analysis and Forecasting with HHT Feature Generation and Machine Learning

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Towards Artificial Intelligence Enabled Financial Crime Detection

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The impact of social media presence and board member composition on new venture success: Evidences from VC-backed U.S. startups

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Self-attending RNN for Speech Enhancement to Improve Cross-corpus Generalization

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An Improved Measure of Musical Noise Based on Spectral Kurtosis

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Training Speech Enhancement Systems with Noisy Speech Datasets

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RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features

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Deep Neural Networks and End-to-End Learning for Audio Compression

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COVID-19 Detection Using Recorded Coughs in the 2021 DiCOVA Challenge

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Unsupervised Speech Recognition

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CogView: Mastering Text-to-Image Generation via Transformers

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A Dataset for Provident Vehicle Detection at Night

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Pose2Drone: A Skeleton-Pose-based Framework forHuman-Drone Interaction

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An Efficient Style Virtual Try on Network

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The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition

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SSAN: Separable Self-Attention Network for Video Representation Learning

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Stylizing 3D Scene via Implicit Representation and HyperNetwork

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YOLO5Face: Why Reinventing a Face Detector

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Image-Based Plant Wilting Estimation

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Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation

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Issues in Object Detection in Videos using Common Single-Image CNNs

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cofga: A Dataset for Fine Grained Classification of Objects from Aerial Imagery

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Efficient High-Resolution Image-to-Image Translation using Multi-Scale Gradient U-Net

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Computer Vision and Conflicting Values: Describing People with Automated Alt Text

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Aggregating Nested Transformers

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Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving

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Enhance to Read Better: An Improved Generative Adversarial Network for Handwritten Document Image Enhancement

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Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey

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Detecting Biological Locomotion in Video: A Computational Approach

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Edge Detection for Satellite Images without Deep Networks

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Unsupervised Video Summarization via Multi-source Features

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Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios

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Improving Sign Language Translation with Monolingual Data by Sign Back-Translation

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PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal

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FINNger -- Applying artificial intelligence to ease math learning for children

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Performance Analysis of a Foreground Segmentation Neural Network Model

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Style Similarity as Feedback for Product Design

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AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression

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Smile Like You Mean It: Driving Animatronic Robotic Face with Learned Models

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Towards Transparent Application of Machine Learning in Video Processing

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On the Advantages of Multiple Stereo Vision Camera Designs for Autonomous Drone Navigation

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Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers

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Weighing Features of Lung and Heart Regions for Thoracic Disease Classification

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What data do we need for training an AV motion planner?

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The Nonlinearity Coefficient -- A Practical Guide to Neural Architecture Design

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Temporal Action Proposal Generation with Transformers

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Emotion Recognition in Horses with Convolutional Neural Networks

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Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks

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Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution

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GAN for Vision, KG for Relation: a Two-stage Deep Network for Zero-shot Action Recognition

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BoundarySqueeze: Image Segmentation as Boundary Squeezing

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FILTRA: Rethinking Steerable CNN by Filter Transform

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Unsupervised Scale-consistent Depth Learning from Video

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TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields

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SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos

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Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD

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Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation

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3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimation

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Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compression

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Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation

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Security in Next Generation Mobile Payment Systems: A Comprehensive Survey

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CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning

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ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents

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Experimenting with Knowledge Distillation techniques for performing Brain Tumor Segmentation

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luvHarris: A Practical Corner Detector for Event-cameras

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LineCounter: Learning Handwritten Text Line Segmentation by Counting

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What is the State of the Art of Computer Vision-Assisted Cytology? A Systematic Literature Review

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Human-centric Relation Segmentation: Dataset and Solution

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Unsupervised Video Summarization with a Convolutional Attentive Adversarial Network

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FineAction: A Fined Video Dataset for Temporal Action Localization

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Recent Advances and Trends in Multimodal Deep Learning: A Review

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Revisiting 2D Convolutional Neural Networks for Graph-based Applications

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Heuristic Weakly Supervised 3D Human Pose Estimation in Novel Contexts without Any 3D Pose Ground Truth

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Wisdom for the Crowd: Discoursive Power in Annotation Instructions for Computer Vision

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HOME: Heatmap Output for future Motion Estimation

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Boosting Crowd Counting with Transformers

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Skeleton-aware multi-scale heatmap regression for 2D hand pose estimation

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Weakly-supervised Cross-view 3D Human Pose Estimation

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Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose Data

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GOO: A Dataset for Gaze Object Prediction in Retail Environments

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PAL: Intelligence Augmentation using Egocentric Visual Context Detection

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Automated Knee X-ray Report Generation

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Soccer Player Tracking in Low Quality Video

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Towards Automatic Recognition of Pure & Mixed Stones using Intraoperative Endoscopic Digital Images

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Video-based Person Re-identification without Bells and Whistles

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Embracing New Techniques in Deep Learning for Estimating Image Memorability

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Puck localization and multi-task event recognition in broadcast hockey videos

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Brain tumour segmentation using a triplanar ensemble of U-Nets

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Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across the Workspace

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Generation of COVID-19 Chest CT Scan Images using Generative Adversarial Networks

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Smart mobile microscopy: towards fully-automated digitization

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Orthogonal Ensemble Networks for Biomedical Image Segmentation

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MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution

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Hyper-Convolution Networks for Biomedical Image Segmentation

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Prostate Gland Segmentation in Histology Images via Residual and Multi-Resolution U-Net

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Intriguing Properties of Vision Transformers

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Towards Realization of Augmented Intelligence in Dermatology: Advances and Future Directions

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Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution

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Driving-Signal Aware Full-Body Avatars

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Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning

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LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond

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High Fidelity Fingerprint Generation: Quality, Uniqueness, and Privacy

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3D Human Pose Regression using Graph Convolutional Network

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An Efficient Training Approach for Very Large Scale Face Recognition

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Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation

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Behind the leaves -- Estimation of occluded grapevine berries with conditional generative adversarial networks

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Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems

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Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices

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Combining Transformer Generators with Convolutional Discriminators

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Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection

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GSSF: A Generative Sequence Similarity Function based on a Seq2Seq model for clustering online handwritten mathematical answers

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ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search

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Safety Metrics for Semantic Segmentation in Autonomous Driving

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Visual representation of negation: Real world data analysis on comic image design

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A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation

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Opening Deep Neural Networks with Generative Models

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VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding

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Distinguishing artefacts: evaluating the saturation point of convolutional neural networks

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ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction

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WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images

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AC-CovidNet: Attention Guided Contrastive CNN for Recognition of Covid-19 in Chest X-Ray Images

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Evaluating Robustness over High Level Driving Instruction for Autonomous Driving

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Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter

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AndroidEnv: A Reinforcement Learning Platform for Android

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Exploiting Multi-modal Contextual Sensing for City-bus's Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction

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Maria: A Visual Experience Powered Conversational Agent

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Hybrid Encoding For Generating Large Scale Game Level Patterns With Local Variations Using a GAN

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Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective

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BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons

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Multi-turn Dialog System on Single-turn Data in Medical Domain

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UAV-Assisted Communication in Remote Disaster Areas using Imitation Learning

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Composition and Application of Current Advanced Driving Assistance System: A Review

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From Motor Control to Team Play in Simulated Humanoid Football

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Automatic design of quantum feature maps

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Automatic Construction of Sememe Knowledge Bases via Dictionaries

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A Comprehensive Survey on Community Detection with Deep Learning

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Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI

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Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments

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Learning Bipedal Robot Locomotion from Human Movement

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Towards Teachable Autonomous Agents

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Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking

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Towards an Online Empathetic Chatbot with Emotion Causes

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Extending the Abstraction of Personality Types based on MBTI with Machine Learning and Natural Language Processing

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Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking

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Transfer Learning and Curriculum Learning in Sokoban

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NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension

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Towards an Online Empathetic Chatbot with Emotion Causes

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Predicting Links on Wikipedia with Anchor Text Information

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Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting

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LENs: a Python library for Logic Explained Networks

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Personalized Transformer for Explainable Recommendation

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A General Theory for the Evolution of Application Models -- Full version

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Actions You Can Handle: Dependent Types for AI Plans

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Argumentative XAI: A Survey

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Digital-Twin-Based Improvements to Diagnosis, Prognosis, Strategy Assessment, and Discrepancy Checking in a Nearly Autonomous Management and Control System

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A review of approaches to modeling applied vehicle routing problems

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Retrieval Enhanced Model for Commonsense Generation

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One2Set: Generating Diverse Keyphrases as a Set

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Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention

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Self-Attention Networks Can Process Bounded Hierarchical Languages

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Prevent the Language Model from being Overconfident in Neural Machine Translation

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The Early Bird Catches the Worm: Better Early Life Cycle Defect Predictors

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Controlling Text Edition by Changing Answers of Specific Questions

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Who/What is My Teammate? Team Composition Considerations in Human-AI Teaming

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Continual World: A Robotic Benchmark For Continual Reinforcement Learning

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Structural Pre-training for Dialogue Comprehension

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RST Parsing from Scratch

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Sockpuppet Detection: a Telegram case study

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Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication

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Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games

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Pretrained Language Models for Text Generation: A Survey

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Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging

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Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework

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Federated Learning for Short-term Residential Energy Demand Forecasting

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NAAS: Neural Accelerator Architecture Search

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RL-GRIT: Reinforcement Learning for Grammar Inference

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Optimistic Reinforcement Learning by Forward Kullback-Leibler Divergence Optimization

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Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms

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GoSafe: Globally Optimal Safe Robot Learning

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MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation

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A Microarchitecture Implementation Framework for Online Learning with Temporal Neural Networks

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BioNavi-NP: Biosynthesis Navigator for Natural Products

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Intellige: A User-Facing Model Explainer for Narrative Explanations

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Simulated Data Generation Through Algorithmic Force Coefficient Estimation for AI-Based Robotic Projectile Launch Modeling

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PyTouch: A Machine Learning Library for Touch Processing

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HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing

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Out-of-Vocabulary Entities in Link Prediction

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TreeBERT: A Tree-Based Pre-Trained Model for Programming Language

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Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks

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Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs

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Scaling Properties of Deep Residual Networks

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Interpretable UAV Collision Avoidance using Deep Reinforcement Learning

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Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting

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Public Transportation Demand Analysis: A Case Study of Metropolitan Lagos

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Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles

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Least-Squares ReLU Neural Network (LSNN) Method For Linear Advection-Reaction Equation

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Least-Squares ReLU Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Law

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Connect the Dots: In Situ 4D Seismic Monitoring of CO$_2$ Storage with Spatio-temporal CNNs

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Feature Space Exploration For Planning Initial Benthic AUV Surveys

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Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions

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Federated Graph Learning -- A Position Paper

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Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection

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SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification

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RtFPS: An Interactive Map that Visualizes and Predicts Wildfires in the US

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DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media

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Novel Deep Learning Architecture for Heart Disease Prediction using Convolutional Neural Network

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Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection

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View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data

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Few-Shot Upsampling for Protest Size Detection

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Hater-O-Genius Aggression Classification using Capsule Networks

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Robust Watermarking using Diffusion of Logo into Autoencoder Feature Maps

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A Query Language for Summarizing and Analyzing Business Process Data

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CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding

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EXoN: EXplainable encoder Network

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SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread?

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Spatial-Temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction

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Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks

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Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach

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GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack Detection

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Explainable Machine Learning with Prior Knowledge: An Overview

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Anomaly Mining -- Past, Present and Future

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Towards Automatic Sizing for PPE with a Point Cloud Based Variational Autoencoder

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Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates

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BELT: Blockwise Missing Embedding Learning Transfomer

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Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data

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A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Character Control

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Learning Modular Robot Control Policies

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