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?!

Embeddings and Attention in Predictive Modeling

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Reddit's Self-Organized Bull Runs

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A Big Data Analysis of the Ethereum Network: from Blockchain to Google Trends

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Monte Carlo Simulation of SDEs using GANs

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Fiscal stimulus as an optimal control problem

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The Production and Consumption of Social Media

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Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes

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Learning What To Do by Simulating the Past

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Finding Experts in Social Media Data using a Hybrid Approach

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The Autodidactic Universe

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Progressive Semantic Segmentation

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HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies

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Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators

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Spatial Imagination With Semantic Cognition for Mobile Robots

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Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems

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MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement

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DeepI2P: Image-to-Point Cloud Registration via Deep Classification

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Question-Driven Design Process for Explainable AI User Experiences

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Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning

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Leaving Goals on the Pitch: Evaluating Decision Making in Soccer

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AI in Smart Cities: Challenges and approaches to enable road vehicle automation and smart traffic control

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Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction

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Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model

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Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks

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HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks

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Librispeech Transducer Model with Internal Language Model Prior Correction

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Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation

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Deep Implicit Statistical Shape Models for 3D Medical Image Delineation

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Creativity and Machine Learning: a Survey

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How to Accelerate Capsule Convolutions in Capsule Networks

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The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions

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Data-driven Design of Context-aware Monitors for Hazard Prediction in Artificial Pancreas Systems

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Text-guided Legal Knowledge Graph Reasoning

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Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques

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Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge

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Are GAN generated images easy to detect? A critical analysis of the state-of-the-art

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Prediction of Solar Radiation Using Artificial Neural Network

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White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks

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OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation

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CodeTrans: Towards Cracking the Language of Silicone's Code Through Self-Supervised Deep Learning and High Performance Computing

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Ensemble deep learning: A review

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Multi-Scale Context Aggregation Network with Attention-Guided for Crowd Counting

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A Concise Review of Transfer Learning

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Artificial Neural Network Modeling for Airline Disruption Management

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DataOps for Societal Intelligence: a Data Pipeline for Labor Market Skills Extraction and Matching

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Influencing Reinforcement Learning through Natural Language Guidance

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Automating Transfer Credit Assessment in Student Mobility -- A Natural Language Processing-based Approach

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Semi-supervised Variational Temporal Convolutional Network for IoT Communication Multi-anomaly Detection

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AST: Audio Spectrogram Transformer

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Predicting Mergers and Acquisitions using Graph-based Deep Learning

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A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification

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FixMyPose: Pose Correctional Captioning and Retrieval

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A Conversational Agent System for Dietary Supplements Use

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Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

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Diff-TTS: A Denoising Diffusion Model for Text-to-Speech

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Deepfake Detection Scheme Based on Vision Transformer and Distillation

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PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification

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Designing for human-AI complementarity in K-12 education

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Attention Forcing for Machine Translation

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Autonomous Driving Data Chain & Interfaces

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FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface

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Datacentric analysis to reduce pedestrians accidents: A case study in Colombia

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Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search

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Drug Recommendation System based on Sentiment Analysis of Drug Reviews using Machine Learning

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Capturing Knowledge of Emerging Entities From Extended Search Snippets

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ESTemd: A Distributed Processing Framework for Environmental Monitoring based on Apache Kafka Streaming Engine

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Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey

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Sketch and Customize: A Counterfactual Story Generator

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Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping

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A Survey on Semi-parametric Machine Learning Technique for Time Series Forecasting

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A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space

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ProcessTransformer: Predictive Business Process Monitoring with Transformer Network

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Multi-rate attention architecture for fast streamable Text-to-speech spectrum modeling

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A single gradient step finds adversarial examples on random two-layers neural networks

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Explainability-based Backdoor Attacks Against Graph Neural Networks

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DeepProg: A Transformer-based Framework for Predicting Disease Prognosis

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Field Convolutions for Surface CNNs

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Explaining decisions made with AI: A workbook (Use case 1: AI-assisted recruitment tool)

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Speech Denoising without Clean Training Data: a Noise2Noise Approach

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M-Net with Bidirectional ConvLSTM for Cup and Disc Segmentation in Fundus Images

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Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings

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Pushing the Limits of Non-Autoregressive Speech Recognition

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Regularizing Generative Adversarial Networks under Limited Data

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Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications

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TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition

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Distantly Supervised Transformers For E-Commerce Product QA

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Conditional physics informed neural networks

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Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python

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Semi-Supervised Classification of Social Media Posts: Identifying Sex-Industry Posts to Enable Better Support for Those Experiencing Sex-Trafficking

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DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python

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TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images

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Prediction with Missing Data

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TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption

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Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction

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The Proper Use of Google Trends in Forecasting Models

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Graph-based Normalizing Flow for Human Motion Generation and Reconstruction

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Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification

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CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging

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Adapting Speaker Embeddings for Speaker Diarisation

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Three-class Overlapped Speech Detection using a Convolutional Recurrent Neural Network

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Capturing Multi-Resolution Context by Dilated Self-Attention

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Learning to Rank Microphones for Distant Speech Recognition

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NeuMIP: Multi-Resolution Neural Materials

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Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models

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The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions

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An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network

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RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications

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MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage

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Generalization of GANs under Lipschitz continuity and data augmentation

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Using Kalman Filter The Right Way: Noise Estimation Is Not Optimal

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Identity and Posture Recognition in Smart Beds with Deep Multitask Learning

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Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks

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On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study

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Malignancy Prediction and Lesion Identification from Clinical Dermatological Images

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On the Robustness of Vision Transformers to Adversarial Examples

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Using Molecular Embeddings in QSAR Modeling: Does it Make a Difference?

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Fourier Image Transformer

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Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models

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Machine Learning based COVID-19 Detection from Smartphone Recordings: Cough, Breath and Speech

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A Review of Formal Methods applied to Machine Learning

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Variational Transformer Networks for Layout Generation

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Using Voice and Biofeedback to Predict User Engagement during Requirements Interviews

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Binary Neural Network for Speaker Verification

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In-Line Image Transformations for Imbalanced, Multiclass Computer Vision Classification of Lung Chest X-Rays

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Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion

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Insight about Detection, Prediction and Weather Impact of Coronavirus (Covid-19) using Neural Network

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SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network

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Scaling to Many Languages with a Triaged Multilingual Text-Dependent and Text-Independent Speaker Verification System

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Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models

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Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers

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Query2Prod2Vec Grounded Word Embeddings for eCommerce

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Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network

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Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses

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Explainability-aided Domain Generalization for Image Classification

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Evaluating Explainable Artificial Intelligence Methods for Multi-label Deep Learning Classification Tasks in Remote Sensing

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Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation

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Neurological Status Classification Using Convolutional Neural Network

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An Empirical Study of Training Self-Supervised Visual Transformers

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DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time

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Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains

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Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification

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Domain Generalization with MixStyle

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Self-Supervised Learning for Personalized Speech Enhancement

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Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data

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Machine Learning Applications in the Routing in Computer Networks

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Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images

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Talk, Don't Write: A Study of Direct Speech-Based Image Retrieval

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FedPandemic: A Cross-Device Federated Learning Approach Towards Elementary Prognosis of Diseases During a Pandemic

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Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure

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Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA

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MMBERT: Multimodal BERT Pretraining for Improved Medical VQA

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Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods

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Skillful Precipitation Nowcasting using Deep Generative Models of Radar

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Partition-Guided GANs

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Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation

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Developing a New Autism Diagnosis Process Based on a Hybrid Deep Learning Architecture Through Analyzing Home Videos

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Using Simulation to Aid the Design and Optimization of Intelligent User Interfaces for Quality Assurance Processes in Machine Learning

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Linear Systems can be Hard to Learn

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NaturalProofs: Mathematical Theorem Proving in Natural Language

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AI Fairness via Domain Adaptation

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Assessment of machine learning methods for state-to-state approaches

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Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training

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Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics

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HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks

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Assem-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis Techniques

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Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation

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Keyword Transformer: A Self-Attention Model for Keyword Spotting

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Drug Discovery Approaches using Quantum Machine Learning

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Handwriting Transformers

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InfinityGAN: Towards Infinite-Resolution Image Synthesis

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Panoptic Segmentation Forecasting

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SMD-Nets: Stereo Mixture Density Networks

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1st Place Solution to ICDAR 2021 RRC-ICTEXT End-to-end Text Spotting and Aesthetic Assessment on Integrated Circuit

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TokenPose: Learning Keypoint Tokens for Human Pose Estimation

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Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting

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Progressive Temporal Feature Alignment Network for Video Inpainting

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CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds

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Contour Proposal Networks for Biomedical Instance Segmentation

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A transfer-learning approach for lesion detection in endoscopic images from the urinary tract

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Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond

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MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data

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Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy

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Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes

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SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks

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Hand-Object Contact Consistency Reasoning for Human Grasps Generation

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OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays

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On Self-Contact and Human Pose

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Learning Residue-Aware Correlation Filters and Refining Scale Estimates with the GrabCut for Real-Time UAV Tracking

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VGF-Net: Visual-Geometric Fusion Learning for Simultaneous Drone Navigation and Height Mapping

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HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap

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DG-Font: Deformable Generative Networks for Unsupervised Font Generation

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Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection

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FedFace: Collaborative Learning of Face Recognition Model

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[RE] CNN-generated images are surprisingly easy to spot...for now

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OpenGAN: Open-Set Recognition via Open Data Generation

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Deep Transformers for Fast Small Intestine Grounding in Capsule Endoscope Video

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Self-Supervised Learning for Gastritis Detection with Gastric X-Ray Images

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MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images

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ARC: A Vision-based Automatic Retail Checkout System

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Localization of Autonomous Vehicles: Proof of Concept for A Computer Vision Approach

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Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation

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Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images

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ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement

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Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images

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DeepBlur: A Simple and Effective Method for Natural Image Obfuscation

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Weakly-supervised Audio-visual Sound Source Detection and Separation

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Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting

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Deep Animation Video Interpolation in the Wild

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SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation

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A Facial Feature Discovery Framework for Race Classification Using Deep Learning

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Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning

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Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition

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Change Detection from SAR Images Based on Deformable Residual Convolutional Neural Networks

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Contrastive Syn-to-Real Generalization

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One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation

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Content-Aware GAN Compression

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3D-to-2D Distillation for Indoor Scene Parsing

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IronMask: Modular Architecture for Protecting Deep Face Template

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Pathological Image Segmentation with Noisy Labels

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Pyramid U-Net for Retinal Vessel Segmentation

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A clinical validation of VinDr-CXR, an AI system for detecting abnormal chest radiographs

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HLA-Face: Joint High-Low Adaptation for Low Light Face Detection

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MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition

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Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer

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Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks

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Hierarchical Pyramid Representations for Semantic Segmentation

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Potential Convolution: Embedding Point Clouds into Potential Fields

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A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265

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Adversarial Attack in the Context of Self-driving

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TATL: Task Agnostic Transfer Learning for Skin Attributes Detection

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MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection

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SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction

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Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images

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"Forget" the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory Networks

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Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing

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DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images

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Fingerspelling Detection in American Sign Language

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A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery

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Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision

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Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients

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Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy

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3D Convolutional Neural Networks for Stalled Brain Capillary Detection

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Contrast-enhanced MRI Synthesis Using 3D High-Resolution ConvNets

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Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging

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MR-Contrast-Aware Image-to-Image Translations with Generative Adversarial Networks

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Multimedia Technology Applications and Algorithms: A Survey

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LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference

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Scene Graphs: A Survey of Generations and Applications

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NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition

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Legibility Enhancement of Papyri Using Color Processing and Visual Illusions: A Case Study in Critical Vision

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End-to-end learning of keypoint detection and matching for relative pose estimation

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Learning Transferable Kinematic Dictionary for 3D Human Pose and Shape Reconstruction

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UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

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VisQA: X-raying Vision and Language Reasoning in Transformers

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Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts

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Analyzing and Quantifying Generalization in Convolutional Neural Networks

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TFill: Image Completion via a Transformer-Based Architecture

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