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?!
Style-based quantum generative adversarial networks for Monte Carlo events

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Language Modelling via Learning to Rank

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CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq

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Neural Attention-Aware Hierarchical Topic Model

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VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks

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Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages

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DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing

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Human-Robot Collaboration and Machine Learning: A Systematic Review of Recent Research

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Predictive models of RNA degradation through dual crowdsourcing

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Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication

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The Neglected Sibling: Isotropic Gaussian Posterior for VAE

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Physics informed neural networks for continuum micromechanics

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DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks

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How to train RNNs on chaotic data?

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Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis -- and What to Use Instead

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How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies

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A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods

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CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training

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Federated learning and next generation wireless communications: A survey on bidirectional relationship

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Learn-to-Race: A Multimodal Control Environment for Autonomous Racing

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Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop

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Time Series Clustering for Human Behavior Pattern Mining

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FedMe: Federated Learning via Model Exchange

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An Optimization Perspective on Realizing Backdoor Injection Attacks on Deep Neural Networks in Hardware

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A Survey of Machine Learning Algorithms for Detecting Ransomware Encryption Activity

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Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand

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Case-based Reasoning for Better Generalization in Text-Adventure Games

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Transforming Autoregression: Interpretable and Expressive Time Series Forecast

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Learn Proportional Derivative Controllable Latent Space from Pixels

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Impact of COVID-19 Policies and Misinformation on Social Unrest

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Deep forecasting of translational impact in medical research

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Gravitational wave surrogates through automated machine learning

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Understanding the network formation pattern for better link prediction

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Hydra: A System for Large Multi-Model Deep Learning

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Convolutional Deep Denoising Autoencoders for Radio Astronomical Images

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DFW-PP: Dynamic Feature Weighting based Popularity Prediction for Social Media Content

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On Learning the Transformer Kernel

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Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting

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SentimentArcs: A Novel Method for Self-Supervised Sentiment Analysis of Time Series Shows SOTA Transformers Can Struggle Finding Narrative Arcs

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Capsule Graph Neural Networks with EM Routing

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Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions

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Exploring Deep Neural Networks on Edge TPU

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A Survey on Machine Learning Techniques for Source Code Analysis

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Permutation Invariance of Deep Neural Networks with ReLUs

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Protecting Anonymous Speech: A Generative Adversarial Network Methodology for Removing Stylistic Indicators in Text

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SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New City

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Early Diagnostic Prediction of Covid-19 using Gradient-Boosting Machine Model

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Semi-asynchronous Hierarchical Federated Learning for Cooperative Intelligent Transportation Systems

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Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models

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Clinical Trial Information Extraction with BERT

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Identification of high order closure terms from fully kinetic simulations using machine learning

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Novel Features for Time Series Analysis: A Complex Networks Approach

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Generating Symbolic Reasoning Problems with Transformer GANs

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EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters

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ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain Signals

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Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution

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AequeVox: Automated Fairness Testing of Speech Recognition Systems

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An Empirical Study: Extensive Deep Temporal Point Process

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JavaBERT: Training a transformer-based model for the Java programming language

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SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training

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LMSOC: An Approach for Socially Sensitive Pretraining

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More Engineering, No Silos: Rethinking Processes and Interfaces in Collaboration between Interdisciplinary Teams for Machine Learning Projects

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Inductive Biases and Variable Creation in Self-Attention Mechanisms

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Robust Semi-Supervised Classification using GANs with Self-Organizing Maps

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Physical Side-Channel Attacks on Embedded Neural Networks: A Survey

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Personalized Transfer of User Preferences for Cross-domain Recommendation

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RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System

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Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce

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The R package sentometrics to compute, aggregate and predict with textual sentiment

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On some theoretical limitations of Generative Adversarial Networks

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Deep Generative Models in Engineering Design: A Review

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Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity

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AdamD: Improved bias-correction in Adam

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Color Teams for Machine Learning Development

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Behavioral Experiments for Understanding Catastrophic Forgetting

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Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs

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Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting

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Interpretable Machine Learning for Resource Allocation with Application to Ventilator Triage

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On games and simulators as a platform for development of artificial intelligence for command and control

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Looper: An end-to-end ML platform for product decisions

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SaFeRDialogues: Taking Feedback Gracefully after Conversational Safety Failures

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Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization

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Topic-time Heatmaps for Human-in-the-loop Topic Detection and Tracking

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A Survey on Legal Question Answering Systems

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Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer

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Towards Efficient NLP: A Standard Evaluation and A Strong Baseline

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Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation

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SaLinA: Sequential Learning of Agents

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A Machine Learning Approach for Delineating Similar Sound Symptoms of Respiratory Conditions on a Smartphone

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Machine Learning Algorithms In User Authentication Schemes

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Creating User Interface Mock-ups from High-Level Text Descriptions with Deep-Learning Models

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Making Document-Level Information Extraction Right for the Right Reasons

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Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following

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Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework

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A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research

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A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead

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NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem

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An Independent Study of Reinforcement Learning and Autonomous Driving

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Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks

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Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text

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Few-Shot Bot: Prompt-Based Learning for Dialogue Systems

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Dual-Arm Adversarial Robot Learning

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A Broad-persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments

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Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review

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Generative Adversarial Imitation Learning for End-to-End Autonomous Driving on Urban Environments

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Lifelong Topological Visual Navigation

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Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text

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GrowSpace: Learning How to Shape Plants

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Explainable Student Performance Prediction With Personalized Attention for Explaining Why A Student Fails

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How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption?

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Learning to Learn a Cold-start Sequential Recommender

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An actor-critic algorithm with deep double recurrent agents to solve the job shop scheduling problem

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Ranking Facts for Explaining Answers to Elementary Science Questions

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Deep Transfer Learning & Beyond: Transformer Language Models in Information Systems Research

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Poisoning Attacks on Fair Machine Learning

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Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks

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An LSTM-based Plagiarism Detection via Attention Mechanism and a Population-based Approach for Pre-Training Parameters with imbalanced Classes

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Towards Better Long-range Time Series Forecasting using Generative Adversarial Networks

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Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation

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Conceptual Modeling and Artificial Intelligence: Mutual Benefits from Complementary Worlds

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Learning UI Navigation through Demonstrations composed of Macro Actions

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NormFormer: Improved Transformer Pretraining with Extra Normalization

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Measuring Cognitive Status from Speech in a Smart Home Environment

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Ceasing hate withMoH: Hate Speech Detection in Hindi-English Code-Switched Language

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COVIDRead: A Large-scale Question Answering Dataset on COVID-19

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The AI Triplet: Computational, Conceptual, and Mathematical Representations in AI Education

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Accountability in AI: From Principles to Industry-specific Accreditation

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Governance and Communication of Algorithmic Decision Making: A Case Study on Public Sector

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Newsalyze: Effective Communication of Person-Targeting Biases in News Articles

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ECG-ATK-GAN: Robustness against Adversarial Attacks on ECG using Conditional Generative Adversarial Networks

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Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data

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In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications

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A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays

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Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!

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GenNI: Human-AI Collaboration for Data-Backed Text Generation

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NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters

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Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?

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FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop

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Risks of AI Foundation Models in Education

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Topic-Guided Abstractive Multi-Document Summarization

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A guided journey through non-interactive automatic story generation

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Continuous Authentication Using Mouse Movements, Machine Learning, and Minecraft

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Enabling a Social Robot to Process Social Cues to Detect when to Help a User

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A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System

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Better than Average: Paired Evaluation of NLP Systems

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Privacy in Open Search: A Review of Challenges and Solutions

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Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning

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A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act

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Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

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OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis

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A Systematic Review on the Detection of Fake News Articles

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Improving the Search by Encoding Multiple Solutions in a Chromosome

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A guided journey through non-interactive automatic story generation

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Adversarial examples by perturbing high-level features in intermediate decoder layers

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DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models

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A CLIP-Enhanced Method for Video-Language Understanding

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A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification

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Ego4D: Around the World in 3,000 Hours of Egocentric Video

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Data Incubation -- Synthesizing Missing Data for Handwriting Recognition

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Top 3 in FG 2021 Families In the Wild Kinship Verification Challenge

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Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset

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TDACNN: Target-domain-free Domain Adaptation Convolutional Neural Network for Drift Compensation in Gas Sensors

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Pre-training Molecular Graph Representation with 3D Geometry

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Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres

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3D Structure from 2D Microscopy images using Deep Learning

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Playing for 3D Human Recovery

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Learning Temporal 3D Human Pose Estimation with Pseudo-Labels

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Sub-word Level Lip Reading With Visual Attention

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RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach

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Reason induced visual attention for explainable autonomous driving

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Domain Adaptation on Semantic Segmentation with Separate Affine Transformation in Batch Normalization

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Multiple Style Transfer via Variational AutoEncoder

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HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media

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Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather

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EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation

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Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning

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Adversarial Scene Reconstruction and Object Detection System for Assisting Autonomous Vehicle

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Appearance Editing with Free-viewpoint Neural Rendering

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Combining Diverse Feature Priors

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Guiding Visual Question Generation

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Multi-Tailed, Multi-Headed, Spatial Dynamic Memory refined Text-to-Image Synthesis

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FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes

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Tensor-to-Image: Image-to-Image Translation with Vision Transformers

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On Generating Identifiable Virtual Faces

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Advances and Challenges in Deep Lip Reading

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DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception

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NeuroView: Explainable Deep Network Decision Making

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Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images

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"Knights": First Place Submission for VIPriors21 Action Recognition Challenge at ICCV 2021

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Rheumatoid Arthritis: Automated Scoring of Radiographic Joint Damage

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MAAD: A Model and Dataset for "Attended Awareness" in Driving

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A MIMO Radar-based Few-Shot Learning Approach for Human-ID

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Multimodal Dialogue Response Generation

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Understanding Procedural Knowledge by Sequencing Multimodal Instructional Manuals

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Bridging the gap between paired and unpaired medical image translation

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Starkit: RoboCup Humanoid KidSize 2021 Worldwide Champion Team Paper

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Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction

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Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation

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Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation

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Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series

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3D Human Pose Estimation for Free-form Activity Using WiFi Signals

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DBSegment: Fast and robust segmentation of deep brain structures -- Evaluation of transportability across acquisition domains

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Comparing Deep Neural Nets with UMAP Tour

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Automatic Detection of COVID-19 and Pneumonia from Chest X-Ray using Deep Learning

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Neuro-Symbolic Forward Reasoning

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Vit-GAN: Image-to-image Translation with Vision Transformes and Conditional GANS

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Comparative Analysis of Deep Learning Algorithms for Classification of COVID-19 X-Ray Images

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A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease

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CT-SGAN: Computed Tomography Synthesis GAN

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SafeAccess+: An Intelligent System to make Smart Home Safer and Americans with Disability Act Compliant

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Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry

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A Deep Learning-based Approach for Real-time Facemask Detection

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VoteHMR: Occlusion-Aware Voting Network for Robust 3D Human Mesh Recovery from Partial Point Clouds

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AE-StyleGAN: Improved Training of Style-Based Auto-Encoders

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Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor

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ASFormer: Transformer for Action Segmentation

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Fast tree skeleton extraction using voxel thinning based on tree point cloud

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Natural Image Reconstruction from fMRI using Deep Learning: A Survey

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StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

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InfAnFace: Bridging the infant-adult domain gap in facial landmark estimation in the wild

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On the Effect of Selfie Beautification Filters on Face Detection and Recognition

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Temporally stable video segmentation without video annotations

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3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers

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Siamese Transformer Pyramid Networks for Real-Time UAV Tracking

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PixelPyramids: Exact Inference Models from Lossless Image Pyramids

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A Literature Review of 3D Face Reconstruction From a Single Image

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Leveraging MoCap Data for Human Mesh Recovery

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Continuation of Famous Art with AI: A Conditional Adversarial Network Inpainting Approach

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SynCoLFinGer: Synthetic Contactless Fingerprint Generator

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Disentangled Representation with Dual-stage Feature Learning for Face Anti-spoofing

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Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos

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Patch-Based Deep Autoencoder for Point Cloud Geometry Compression

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Asymmetric Modality Translation For Face Presentation Attack Detection

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Hands Off: A Handshake Interaction Detection and Localization Model for COVID-19 Threat Control

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BGaitR-Net: Occluded Gait Sequence reconstructionwith temporally constrained model for gait recognition

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TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation

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ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution

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Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition

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Conditional De-Identification of 3D Magnetic Resonance Images

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Bilateral-ViT for Robust Fovea Localization

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Latent reweighting, an almost free improvement for GANs

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Osteoporosis Prescreening using Panoramic Radiographs through a Deep Convolutional Neural Network with Attention Mechanism

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Deep CNNs for Peripheral Blood Cell Classification

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No RL, No Simulation: Learning to Navigate without Navigating

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Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet

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FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces

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Don't Judge Me by My Face : An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews

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Talking Head Generation with Audio and Speech Related Facial Action Units

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NeuralDiff: Segmenting 3D objects that move in egocentric videos

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Unrestricted Adversarial Attacks on ImageNet Competition

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Self-Supervised Object Detection via Generative Image Synthesis

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Geo-DefakeHop: High-Performance Geographic Fake Image Detection

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CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis

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Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

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A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images Generation

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Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation

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Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization

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CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images

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OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data

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AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation

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Detecting Backdoor Attacks Against Point Cloud Classifiers

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Artificial Intelligence-Based Detection, Classification and Prediction/Prognosis in PET Imaging: Towards Radiophenomics

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Fine-Grained Control of Artistic Styles in Image Generation

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CoFi: Coarse-to-Fine ICP for LiDAR Localization in an Efficient Long-lasting Point Cloud Map

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CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP

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Self-Supervised Visual Representation Learning Using Lightweight Architectures

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2020 CATARACTS Semantic Segmentation Challenge

sciencewise.info/bookmarks/2110…
Text-Based Person Search with Limited Data

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Style Agnostic 3D Reconstruction via Adversarial Style Transfer

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Self-Supervision and Spatial-Sequential Attention Based Loss for Multi-Person Pose Estimation

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Video Instance Segmentation by Instance Flow Assembly

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StyleAlign: Analysis and Applications of Aligned StyleGAN Models

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An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator

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PlaneRecNet: Multi-Task Learning with Cross-Task Consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB Image

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Generative Adversarial Graph Convolutional Networks for Human Action Synthesis

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Reinforcement Learning Based Optimal Camera Placement for Depth Observation of Indoor Scenes

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Towards Identity Preserving Normal to Dysarthric Voice Conversion

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Direct simultaneous speech to speech translation

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Neural Dubber: Dubbing for Silent Videos According to Scripts

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Incremental Speech Synthesis For Speech-To-Speech Translation

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Conformer-Based Self-Supervised Learning for Non-Speech Audio Tasks

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SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation

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SpeechT5: Unified-Modal Encoder-Decoder Pre-training for Spoken Language Processing

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Exploring Timbre Disentanglement in Non-Autoregressive Cross-Lingual Text-to-Speech

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Auxiliary Loss of Transformer with Residual Connection for End-to-End Speaker Diarization

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Multi-Modal Pre-Training for Automated Speech Recognition

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Personalized Speech Enhancement: New Models and Comprehensive Evaluation

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Real Additive Margin Softmax for Speaker Verification

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LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech

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VISinger: Variational Inference with Adversarial Learning for End-to-End Singing Voice Synthesis

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Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features

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A Unified Speaker Adaptation Approach for ASR

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ASR4REAL: An extended benchmark for speech models

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Optimizing Multi-Taper Features for Deep Speaker Verification

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A Study On Data Augmentation In Voice Anti-Spoofing

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An Investigation of Enhancing CTC Model for Triggered Attention-based Streaming ASR

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REAL-M: Towards Speech Separation on Real Mixtures

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Identity Conversion for Emotional Speakers: A Study for Disentanglement of Emotion Style and Speaker Identity

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Improving Emotional Speech Synthesis by Using SUS-Constrained VAE and Text Encoder Aggregation

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Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge

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Neural Synthesis of Footsteps Sound Effects with Generative Adversarial Networks

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Chunked Autoregressive GAN for Conditional Waveform Synthesis

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Private Language Model Adaptation for Speech Recognition

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The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks

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Speech Enhancement-assisted Stargan Voice Conversion in Noisy Environments

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Appointments: A More Effective Commitment Device for Health Behaviors

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Scaling Blockchains: Can Elected Committees Help?

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Gender identity and relative income within household: Evidence from China

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Study of The Relationship Between Public and Private Venture Capitalists in France: A Qualitative Approach

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Identifying the Effects of Sanctions on the Iranian Economy using Newspaper Coverage

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Kernel Minimum Divergence Portfolios

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Media abnormal tone, earnings announcements, and the stock market

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Adaptive Learning on Time Series: Method and Financial Applications

sciencewise.info/bookmarks/2110…

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More from @stephenwithavee

15 Oct
Time for #PapersThatMakeYouGoHmmm! A weekly summary of new ML papers from arXiv that make me think one or more of:

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