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?!

Insurance Business and Sustainable Development

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The housing problem and revealed preference theory: duality and an application

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Airport Capacity and Performance in Europe -- A study of transport economics, service quality and sustainability

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Pyramid scheme in stock market: a kind of financial market simulation

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Clearing prices under margin calls and the short squeeze

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The Great Equalizer: Medicare and the Geography of Consumer Financial Strain

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Artificial intelligence applied to bailout decisions in financial systemic risk management

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A deep learning model for gas storage optimization

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Deep Hedging under Rough Volatility

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A survey of some recent applications of optimal transport methods to econometrics

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Optimal Intervention in Economic Networks using Influence Maximization Methods

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SoK: Decentralized Finance (DeFi)

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Event-Driven LSTM For Forex Price Prediction

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A Stochastic Time Series Model for Predicting Financial Trends using NLP

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Resource Availability in the Social Cloud: An Economics Perspective

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The Impacts of the Gender Imbalance on Marriage and Birth: Evidence from World War II in Japan

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Flashot: A Snapshot of Flash Loan Attack on DeFi Ecosystem

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Controlling volatility of wind-solar power

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The Impact of the COVID-19 Pandemic on Scientific Research in the Life Sciences

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Nonstationary Portfolios: Diversification in the Spectral Domain

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Recruitment, effort, and retention effects of performance contracts for civil servants: Experimental evidence from Rwandan primary schools

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Global health science leverages established collaboration network to fight COVID-19

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An evolutionary view on the emergence of Artificial Intelligence

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Network-centric indicators for fragility in global financial indices

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Rapid detection of fast innovation under the pressure of COVID-19

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Efficient Modeling and Forecasting of the Electricity Spot Price

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Modelling Sovereign Credit Ratings: Evaluating the Accuracy and Driving Factors using Machine Learning Techniques

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The Behavioral Economics of Intrapersonal Conflict: A Critical Assessment

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A deep learning algorithm for optimal investment strategies

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Egalitarian Judgment Aggregation

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Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection

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Persistent Rule-based Interactive Reinforcement Learning

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A Possible Artificial Intelligence Ecosystem Avatar: the Moorea case (IDEA)

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Causal Sufficiency and Actual Causation

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Controlling Hallucinations at Word Level in Data-to-Text Generation

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Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication

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Directive Explanations for Actionable Explainability in Machine Learning Applications

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Towards a reinforcement learning de novo genome assembler

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Improving Reinforcement Learning with Human Assistance: An Argument for Human Subject Studies with HIPPO Gym

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Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning

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ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

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Hybrid Adversarial Inverse Reinforcement Learning

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Audio Adversarial Examples: Attacks Using Vocal Masks

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SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation

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A survey of motion planning algorithms for intelligent robotics

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MeInGame: Create a Game Character Face from a Single Portrait

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MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records

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Self-Supervised Claim Identification for Automated Fact Checking

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Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning

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Neural Recursive Belief States in Multi-Agent Reinforcement Learning

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Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond

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The Ethical Implications of Shared Medical Decision Making without Providing Adequate Computational Support to the Care Provider and to the Patient

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Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles

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When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

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Bootstrapping Multilingual AMR with Contextual Word Alignments

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Generative deep learning for decision making in gas networks

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What Do We See in Them? Identifying Dimensions of Partner Models for Speech Interfaces Using a Psycholexical Approach

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Causal Collaborative Filtering

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Towards Robust Neural Networks via Close-loop Control

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TAD: Trigger Approximation based Black-box Trojan Detection for AI

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A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks

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LSSED: a large-scale dataset and benchmark for speech emotion recognition

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Truly Sparse Neural Networks at Scale

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Agent Incentives: A Causal Perspective

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The 4th International Workshop on Smart Simulation and Modelling for Complex Systems

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Diagnosis of Acute Poisoning Using Explainable Artificial Intelligence

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Report of the Workshop on Program Synthesis for Scientific Computing

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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

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Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction

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Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search

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Exploiting Raw Images for Real-Scene Super-Resolution

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Size Matters

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Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)

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Android Controlled Mobile Robot Design with IP Camera

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Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks

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Unassisted Noise Reduction of Chemical Reaction Data Sets

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Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition

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Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder

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"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision

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GraphDF: A Discrete Flow Model for Molecular Graph Generation

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Multi-modal Ensemble Models for Predicting Video Memorability

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Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision

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MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software

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Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow

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Inferring spatial relations from textual descriptions of images

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Interpretable Reinforcement Learning Inspired by Piaget's Theory of Cognitive Development

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Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning

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The distance between the weights of the neural network is meaningful

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Deep Reinforcement Learning-Based Product Recommender for Online Advertising

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MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing

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NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution

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Stay Alive with Many Options: A Reinforcement Learning Approach for Autonomous Navigation

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Deep Evolutionary Learning for Molecular Design

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Hybrid Information-driven Multi-agent Reinforcement Learning

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Counterfactual Generation with Knockoffs

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CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation

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Semantic Grouping Network for Video Captioning

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About Face: A Survey of Facial Recognition Evaluation

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Few-shot Image Classification with Multi-Facet Prototypes

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Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays

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GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer

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Near Real-World Benchmarks for Offline Reinforcement Learning

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Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs

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Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars

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Forecasting Action through Contact Representations from First Person Video

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Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making

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Polyphone Disambiguition in Mandarin Chinese with Semi-Supervised Learning

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CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning

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Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

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Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework

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Fine-tuning Handwriting Recognition systems with Temporal Dropout

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Adversarial Contrastive Pre-training for Protein Sequences

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Using Multiple Generative Adversarial Networks to Build Better-Connected Levels for Mega Man

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SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

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Taxonomic survey of Hindi Language NLP systems

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Matching Representations of Explainable Artificial Intelligence and Eye Gaze for Human-Machine Interaction

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Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning

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Does injecting linguistic structure into language models lead to better alignment with brain recordings?

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Raspberry Pi Based Intelligent Robot that Recognizes and Places Puzzle Objects

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Efficient-CapsNet: Capsule Network with Self-Attention Routing

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Beyond traditional assumptions in fair machine learning

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Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans

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Enabling Robots to Draw and Tell: Towards Visually Grounded Multimodal Description Generation

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Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review

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Disease Prediction with a Maximum Entropy Method

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Digital twins based on bidirectional LSTM and GAN for modelling COVID-19

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The Analysis from Nonlinear Distance Metric to Kernel-based Drug Prescription Prediction System

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Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy

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A Living Review of Machine Learning for Particle Physics

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Deep learning-based synthetic-CT generation in radiotherapy and PET: a review

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Invertible DenseNets with Concatenated LipSwish

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TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors

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OmiEmbed: reconstruct comprehensive phenotypic information from multi-omics data using multi-task deep learning

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Safety Case Templates for Autonomous Systems

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Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models

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A Universal Framework for Featurization of Atomistic Systems

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Downbeat Tracking with Tempo-Invariant Convolutional Neural Networks

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Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised

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BeFair: Addressing Fairness in the Banking Sector

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IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks

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Investigating Critical Risk Factors in Liver Cancer Prediction

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Federated Learning on Non-IID Data Silos: An Experimental Study

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Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice

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Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting

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AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices

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Organization of a Latent Space structure in VAE/GAN trained by navigation data

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Apollo: Transferable Architecture Exploration

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FedProf: Optimizing Federated Learning with Dynamic Data Profiling

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Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning

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Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification

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Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses

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Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram

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AttentionFlow: Visualising Influence in Networks of Time Series

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Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network

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Provably Secure Federated Learning against Malicious Clients

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Dermo-DOCTOR: A web application for detection and recognition of the skin lesion using a deep convolutional neural network

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Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation

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A Speaker Verification Backend with Robust Performance across Conditions

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A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds

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OPAM: Online Purchasing-behavior Analysis using Machine learning

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AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset

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It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation

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AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

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Federated Learning in Smart Cities: A Comprehensive Survey

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TinyML for Ubiquitous Edge AI

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Predicting student performance using data from an auto-grading system

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Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network

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Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark

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SGD Generalizes Better Than GD (And Regularization Doesn't Help)

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A Novel Use of Discrete Wavelet Transform Features in the Prediction of Epileptic Seizures from EEG Data

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Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis

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Predicting Propensity to Vote with Machine Learning

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Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review

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Multimodal Attention Fusion for Target Speaker Extraction

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Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification

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The Gene Mover's Distance: Single-cell similarity via Optimal Transport

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A Statistician Teaches Deep Learning

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Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness

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Deep Music Information Dynamics

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Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications

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Hierarchical Variational Autoencoder for Visual Counterfactuals

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Machine learning pipeline for battery state of health estimation

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GraphEBM: Molecular Graph Generation with Energy-Based Models

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CODE-AE: A Coherent De-confounding Autoencoder for Predicting Patient-Specific Drug Response From Cell Line Transcriptomics

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MultiRocket: Effective summary statistics for convolutional outputs in time series classification

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PyTorch-Hebbian: facilitating local learning in a deep learning framework

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A Simple yet Brisk and Efficient Active Learning Platform for Text Classification

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Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center

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Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting

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EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction

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ICodeNet -- A Hierarchical Neural Network Approach for Source Code Author Identification

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Time Series (re)sampling using Generative Adversarial Networks

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Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling

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You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries

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Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition

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Neural representation and generation for RNA secondary structures

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Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets

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Text-to-hashtag Generation using Seq2seq Learning

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On Scaling Contrastive Representations for Low-Resource Speech Recognition

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Densely Connected Recurrent Residual (Dense R2UNet) Convolutional Neural Network for Segmentation of Lung CT Images

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ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums

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Neural Network architectures to classify emotions in Indian Classical Music

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Few-shot Learning for CT Scan based COVID-19 Diagnosis

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Classification of Fracture and Normal Shoulder Bone X-Ray Images Using Ensemble and Transfer Learning With Deep Learning Models Based on Convolutional Neural Networks

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Urban Change Detection by Fully Convolutional Siamese Concatenate Network with Attention

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High Fidelity Speech Regeneration with Application to Speech Enhancement

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Efficient CNN Building Blocks for Encrypted Data

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Cortical Features for Defense Against Adversarial Audio Attacks

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Advancing the AmbientGAN for learning stochastic object models

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Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep Convolutional Neural Networks

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Synthetic Dataset Generation of Driver Telematics

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Monitoring the Impacts of a Tailings Dam Failure Using Satellite Images

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Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging

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Importance of feature engineering and database selection in a machine learning model: A case study on carbon crystal structures

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Expressive Neural Voice Cloning

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Segmentation of skin lesions and their attributes using Generative Adversarial Networks

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Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models

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BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions

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Adjusting for Autocorrelated Errors in Neural Networks for Time Series Regression and Forecasting

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An adaptive artificial neural network-based generative design method for layout designs

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State of the Art: Content-based and Hybrid Phishing Detection

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Leveraging domain labels for object detection from UAVs

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Out-of-Town Recommendation with Travel Intention Modeling

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Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation

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An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

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Reliable COVID-19 Detection Using Chest X-ray Images

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Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches

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