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?!

House Price Determinants and Market Segmentation in Boulder, Colorado: A Hedonic Price Approach

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Machine Learning Classification Methods and Portfolio Allocation: An Examination of Market Efficiency

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The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning

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Understanding the nature of the long--range memory phenomenon in socio-economic systems

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Implementing the BBE Agent-Based Model of a Sports-Betting Exchange

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On Modelling of Crude Oil Futures in a Bivariate State-Space Framework

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Factor Representation and Decision Making in Stock Markets Using Deep Reinforcement Learning

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Text Semantics Capture Political and Economic Narratives

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Realised Volatility Forecasting: Machine Learning via Financial Word Embedding

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Testing the differentiated impact of the COVID-19 pandemic on air travel demand considering social inclusion

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Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators

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A data-science-driven short-term analysis of Amazon, Apple, Google, and Microsoft stocks

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Spousal Occupational Sorting and COVID-19 Incidence: Evidence from the United States

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Reconciling revealed and stated measures for willingness to pay in recreation by building a probability model

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MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription

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Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation

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Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis

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Sinsy: A Deep Neural Network-Based Singing Voice Synthesis System

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An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning

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Spotify Danceability and Popularity Analysis using SAP

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Information Sieve: Content Leakage Reduction in End-to-End Prosody For Expressive Speech Synthesis

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Lung Sound Classification Using Co-tuning and Stochastic Normalization

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Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation

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A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset

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EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation

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The Performance Evaluation of Attention-Based Neural ASR under Mixed Speech Input

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DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs

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Speaker Adaptation with Continuous Vocoder-based DNN-TTS

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Musical Speech: A Transformer-based Composition Tool

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Voice Reconstruction from Silent Speech with a Sequence-to-Sequence Model

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Cross-cultural Mood Perception in Pop Songs and its Alignment with Mood Detection Algorithms

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Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challenges

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Practical Attacks on Voice Spoofing Countermeasures

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Graph-PIT: Generalized permutation invariant training for continuous separation of arbitrary numbers of speakers

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Speeding Up Permutation Invariant Training for Source Separation

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Fine-Grained Classroom Activity Detection from Audio with Neural Networks

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Sketch Your Own GAN

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Object Wake-up: 3-D Object Reconstruction, Animation, and in-situ Rendering from a Single Image

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Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images

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Redesigning Fully Convolutional DenseUNets for Large Histopathology Images

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A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective

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Parallel Capsule Networks for Classification of White Blood Cells

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Sentence-level Online Handwritten Chinese Character Recognition

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MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets

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Residual Attention: A Simple but Effective Method for Multi-Label Recognition

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VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild

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Token Shift Transformer for Video Classification

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Automatic Detection of Rail Components via A Deep Convolutional Transformer Network

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Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method

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TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding

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Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning

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Boosting Few-shot Semantic Segmentation with Transformers

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Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks

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Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney

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Adversarial learning of cancer tissue representations

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VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search

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Comparison of Lossless Image Formats

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Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation

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Deep Portrait Lighting Enhancement with 3D Guidance

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Human-In-The-Loop Document Layout Analysis

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Online Knowledge Distillation for Efficient Pose Estimation

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Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos

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Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning

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Combining Attention with Flow for Person Image Synthesis

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Transfer Learning for Pose Estimation of Illustrated Characters

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Neural Scene Decoration from a Single Photograph

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Armour: Generalizable Compact Self-Attention for Vision Transformers

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Vision Transformer with Progressive Sampling

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DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19

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Del-Net: A Single-Stage Network for Mobile Camera ISP

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Sexing Caucasian 2D footprints using convolutional neural networks

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SPG-VTON: Semantic Prediction Guidance for Multi-pose Virtual Try-on

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SphereFace2: Binary Classification is All You Need for Deep Face Recognition

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HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population

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Cycle-Consistent Inverse GAN for Text-to-Image Synthesis

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Predicting Popularity of Images Over 30 Days

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CanvasVAE: Learning to Generate Vector Graphic Documents

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Multispectral Vineyard Segmentation: A Deep Learning approach

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A computational geometry approach for modeling neuronal fiber pathways

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Consistent Depth of Moving Objects in Video

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Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI

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Comparison of modern open-source visual SLAM approaches

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From augmented microscopy to the topological transformer: a new approach in cell image analysis for Alzheimer's research

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Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study

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SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots

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Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty

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My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition

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Wood-leaf classification of tree point cloud based on intensity and geometrical information

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StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators

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An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions

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I2V-GAN: Unpaired Infrared-to-Visible Video Translation

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Shallow Attention Network for Polyp Segmentation

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U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction

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BezierSeg: Parametric Shape Representation for Fast Object Segmentation in Medical Images

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PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time

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Investigating Attention Mechanism in 3D Point Cloud Object Detection

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BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models

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Hyper360 -- a Next Generation Toolset for Immersive Media

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An Effective and Robust Detector for Logo Detection

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CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation

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Threat of Adversarial Attacks on Deep Learning in Computer Vision: Survey II

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Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System

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Chest ImaGenome Dataset for Clinical Reasoning

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Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents

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SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation

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HR-Crime: Human-Related Anomaly Detection in Surveillance Videos

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Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework

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CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention

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On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models

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Comparing object recognition in humans and deep convolutional neural networks -- An eye tracking study

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Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks

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Multi-Head Self-Attention via Vision Transformer for Zero-Shot Learning

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Controlling Weather Field Synthesis Using Variational Autoencoders

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Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis

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Automated Pest Detection with DNN on the Edge for Precision Agriculture

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Style Curriculum Learning for Robust Medical Image Segmentation

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MTVR: Multilingual Moment Retrieval in Videos

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Relightable Neural Video Portrait

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Instant Visual Odometry Initialization for Mobile AR

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Video Based Fall Detection Using Human Poses

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SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection

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Recognizing Emotions evoked by Movies using Multitask Learning

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Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport

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OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild

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From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection

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DarkLighter: Light Up the Darkness for UAV Tracking

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Real-time Streaming Perception System for Autonomous Driving

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Real-Time Anchor-Free Single-Stage 3D Detection with IoU-Awareness

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ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation

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ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills

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Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence

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Dependable Neural Networks Through Redundancy, A Comparison of Redundant Architectures

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VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models

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Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection

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Finetuning Pretrained Transformers into Variational Autoencoders

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Online Model-Free Reinforcement Learning for the Automatic Control of a Flexible Wing Aircraft

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A FAIR and AI-ready Higgs Boson Decay Dataset

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A Review on Deep Learning in UAV Remote Sensing

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The Potential of Using Vision Videos for CrowdRE: Video Comments as a Source of Feedback

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The MIT Supercloud Dataset

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On the Importance of Domain-specific Explanations in AI-based Cybersecurity Systems (Technical Report)

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Log-based Anomaly Detection Without Log Parsing

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Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management

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The Devil is in the GAN: Defending Deep Generative Models Against Backdoor Attacks

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The application of artificial intelligence in software engineering: a review challenging conventional wisdom

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EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training

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PhotoChat: A Human-Human Dialogue Dataset with Photo Sharing Behavior for Joint Image-Text Modeling

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sarcasm detection and quantification in arabic tweets

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Electrical peak demand forecasting- A review

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Understanding Human Reading Comprehension with Brain Signals

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Taking Cognition Seriously: A generalised physics of cognition

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PyEuroVoc: A Tool for Multilingual Legal Document Classification with EuroVoc Descriptors

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Learning off-road maneuver plans for autonomous vehicles

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Cybonto: Towards Human Cognitive Digital Twins for Cybersecurity

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RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer Interactions

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Procedural Generation of 3D Maps with Snappable Meshes

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Sea Ice Forecasting using Attention-based Ensemble LSTM

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Piecewise Linear Units Improve Deep Neural Networks

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Transformer-based deep imitation learning for dual-arm robot manipulation

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StudyMe: A New Mobile App for User-Centric N-of-1 Trials

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Provably Efficient Lottery Ticket Discovery

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Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition

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Learning Embeddings that Capture Spatial Semantics for Indoor Navigation

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A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions

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Brain-Inspired Deep Imitation Learning for Autonomous Driving Systems

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EmailSum: Abstractive Email Thread Summarization

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Neural Network Based Model Predictive Control for an Autonomous Vehicle

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Towards Understanding the Impact of Real-Time AI-Powered Educational Dashboards (RAED) on Providing Guidance to Instructors

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How to avoid machine learning pitfalls: a guide for academic researchers

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Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations

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Deep Stable neural networks: large-width asymptotics and convergence rates

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Growing an architecture for a neural network

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Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study

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Predicting Post-Concussion Syndrome Outcomes with Machine Learning

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DeepScanner: a Robotic System for Automated 2D Object Dataset Collection with Annotations

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Shape Modeling with Spline Partitions

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AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network

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High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training

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A Pragmatic Look at Deep Imitation Learning

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Personal Devices for Contact Tracing: Smartphones and Wearables to Fight Covid-19

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Robustness of convolutional neural networks to physiological ECG noise

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MRCpy: A Library for Minimax Risk Classifiers

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A Study on Herd Behavior Using Sentiment Analysis in Online Social Network

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Geometry of Linear Convolutional Networks

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GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data

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Solving Fashion Recommendation -- The Farfetch Challenge

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Batch Normalization Preconditioning for Neural Network Training

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A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data

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Your fairness may vary: Group fairness of pretrained language models in toxic text classification

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The RareDis corpus: a corpus annotated with rare diseases, their signs and symptoms

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Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning

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PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series

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Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges

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A Survey of Human-in-the-loop for Machine Learning

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Adversarial Attacks Against Deep Reinforcement Learning Framework in Internet of Vehicles

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Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks

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Gates are not what you need in RNNs

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DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways

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SPEAR : Semi-supervised Data Programming in Python

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A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles

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Debiasing Samples from Online Learning Using Bootstrap

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The Separation Capacity of Random Neural Networks

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Personalized Stress Monitoring using Wearable Sensors in Everyday Settings

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A Deep Learning Approach to Predict Blood Pressure from PPG Signals

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Analysis of Online Toxicity Detection Using Machine Learning Approaches

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Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management

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The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification

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Improving Deep Learning for HAR with shallow LSTMs

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Towards Making Deep Learning-based Vulnerability Detectors Robust

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Causal Inference in Educational Systems: A Graphical Modeling Approach

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You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights

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DECAF: Deep Extreme Classification with Label Features

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Bayesian Optimization in Materials Science: A Survey

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Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction

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Using transfer learning to study burned area dynamics: A case study of refugee settlements in West Nile, Northern Uganda

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OpenSync: An opensource platform for synchronizing multiple measures in neuroscience experiments

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Distributed Representations of Atoms and Materials for Machine Learning

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Can You Hear It? Backdoor Attacks via Ultrasonic Triggers

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Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country -- Sri Lanka

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Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts

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Modeling User Empathy Elicited by a Robot Storyteller

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Developing Open Source Educational Resources for Machine Learning and Data Science

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Deep Networks Provably Classify Data on Curves

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Quantifying Uncertainty for Machine Learning Based Diagnostic

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