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?!

Discriminating modelling approaches for Point in Time Economic Scenario Generation

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Regional disparities in Social Mobility of India

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Tilted Platforms: Rental Housing Technology and the Rise of Urban Big Data Oligopolies

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Why North Korean Refugees are Reluctant to Compete: The Roles of Cognitive Ability

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Economists' erroneous estimates of damages from climate change

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Simulation and estimation of an agent-based market-model with a matching engine

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Stochastic loss reserving with mixture density neural networks

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Causal Impact Of European Union Emission Trading Scheme On Firm Behaviour And Economic Performance: A Study Of German Manufacturing Firms

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Dynamic Monopoly Pricing With Multiple Varieties: Trading Up

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Study Of German Manufacturing Firms: Causal Impact Of European Union Emission Trading Scheme On Firm Behaviour And Economic Performance

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Moral-hazard-free insurance: mean-variance premium principle and rank-dependent utility

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Spatial Distribution of Supply and the Role of Market Thickness: Theory and Evidence from Ride Sharing

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Partisan affect and political outsiders

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More for Less: Non-Intrusive Speech Quality Assessment with Limited Annotations

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Integrating Dialog History into End-to-End Spoken Language Understanding Systems

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Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model

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DeepEigen: Learning-based Modal Sound Synthesis with Acoustic Transfer Maps

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Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation

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Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition

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Combining speakers of multiple languages to improve quality of neural voices

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Convolutive Prediction for Reverberant Speech Separation

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NIST SRE CTS Superset: A large-scale dataset for telephony speaker recognition

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GC-TTS: Few-shot Speaker Adaptation with Geometric Constraints

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W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training

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Gravity-Aware Monocular 3D Human-Object Reconstruction

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Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs

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ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis

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Towards Vivid and Diverse Image Colorization with Generative Color Prior

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Click to Move: Controlling Video Generation with Sparse Motion

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Do Vision Transformers See Like Convolutional Neural Networks?

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Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing

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Image Inpainting using Partial Convolution

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Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting

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Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks

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FSNet: A Failure Detection Framework for Semantic Segmentation

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Generating Superpixels for High-resolution Images with Decoupled Patch Calibration

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Semantic Compositional Learning for Low-shot Scene Graph Generation

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DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders

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Multi-task Federated Learning for Heterogeneous Pancreas Segmentation

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Understanding and Mitigating Annotation Bias in Facial Expression Recognition

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VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection

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Image2Lego: Customized LEGO Set Generation from Images

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D3D-HOI: Dynamic 3D Human-Object Interactions from Videos

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Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility

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Quality assessment of image matchers for DSM generation -- a comparative study based on UAV images

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SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation

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End-to-End License Plate Recognition Pipeline for Real-time Low Resource Video Based Applications

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MobileCaps: A Lightweight Model for Screening and Severity Analysis of COVID-19 Chest X-Ray Images

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Efficient remedies for outlier detection with variational autoencoders

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Wind Turbine Blade Surface Damage Detection based on Aerial Imagery and VGG16-RCNN Framework

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Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception

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Medical Image Segmentation using 3D Convolutional Neural Networks: A Review

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Temporal Kernel Consistency for Blind Video Super-Resolution

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End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

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Towards Robust Human Trajectory Prediction in Raw Videos

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An Attention Module for Convolutional Neural Networks

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ALLNet: A Hybrid Convolutional Neural Network to Improve Diagnosis of Acute Lymphocytic Leukemia (ALL) in White Blood Cells

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Masked Face Recognition Challenge: The InsightFace Track Report

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ME-PCN: Point Completion Conditioned on Mask Emptiness

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Hand Hygiene Video Classification Based on Deep Learning

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Image Collation: Matching illustrations in manuscripts

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Adaptive Graph Convolution for Point Cloud Analysis

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Unbiased IoU for Spherical Image Object Detection

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Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting

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Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates

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Deep Hybrid Self-Prior for Full 3D Mesh Generation

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Unsupervised Image Generation with Infinite Generative Adversarial Networks

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SynFace: Face Recognition with Synthetic Data

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DeepFake MNIST+: A DeepFake Facial Animation Dataset

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ARCH++: Animation-Ready Clothed Human Reconstruction Revisited

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DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM

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A Simple Framework for 3D Lensless Imaging with Programmable Masks

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OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting

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RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection

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End-to-End Dense Video Captioning with Parallel Decoding

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Appearance Based Deep Domain Adaptation for the Classification of Aerial Images

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Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry

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VisBuddy -- A Smart Wearable Assistant for the Visually Challenged

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A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving

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Visual Enhanced 3D Point Cloud Reconstruction from A Single Image

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Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision

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Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation

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Light Field Image Super-Resolution with Transformers

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Neural Photofit: Gaze-based Mental Image Reconstruction

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Unsupervised Geodesic-preserved Generative Adversarial Networks for Unconstrained 3D Pose Transfer

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MV-TON: Memory-based Video Virtual Try-on network

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Guided Colorization Using Mono-Color Image Pairs

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Contextual Convolutional Neural Networks

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PnP-3D: A Plug-and-Play for 3D Point Clouds

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DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer

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CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects

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Scene Designer: a Unified Model for Scene Search and Synthesis from Sketch

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A New Backbone for Hyperspectral Image Reconstruction

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KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification Tasks

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Reassessing the Limitations of CNN Methods for Camera Pose Regression

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Real-time Human-Centric Segmentation for Complex Video Scenes

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Masked Face Recognition Challenge: The WebFace260M Track Report

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Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation

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MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

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Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset

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Vehicle-counting with Automatic Region-of-Interest and Driving-Trajectory detection

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Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark

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Pixel Difference Networks for Efficient Edge Detection

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WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges

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TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples

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Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

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Neural Architecture Dilation for Adversarial Robustness

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CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

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Probeable DARTS with Application to Computational Pathology

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Human Pose and Shape Estimation from Single Polarization Images

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EventHPE: Event-based 3D Human Pose and Shape Estimation

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SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images

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SSH: A Self-Supervised Framework for Image Harmonization

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The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation

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Online Continual Learning For Visual Food Classification

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Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation

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Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading

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Occlusion-Aware Video Object Inpainting

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SOTR: Segmenting Objects with Transformers

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Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders

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Deep Algorithm Unrolling for Biomedical Imaging

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B-Splines

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Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles

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Refractive Geometry for Underwater Domes

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Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling

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PICCOLO: Point Cloud-Centric Omnidirectional Localization

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Feature Identification and Matching for Hand Hygiene Pose

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Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction

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Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies

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Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks

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FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration

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Finding Representative Interpretations on Convolutional Neural Networks

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DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange

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MMChat: Multi-Modal Chat Dataset on Social Media

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Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG

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A Survey on GAN Acceleration Using Memory Compression Technique

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3D point cloud segmentation using GIS

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Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification

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Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud

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SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation

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Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks

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Robustness testing of AI systems: A case study for traffic sign recognition

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UMFA: A photorealistic style transfer method based on U-Net and multi-layer feature aggregation

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Point-Voxel Transformer: An Efficient Approach To 3D Deep Learning

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Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking

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MUSIQ: Multi-scale Image Quality Transformer

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A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis

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SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments

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Alzheimer's Disease Diagnosis via Deep Factorization Machine Models

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Prof. Schönhage's Mysterious Machines

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Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation

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Dynamic Difficulty Adjustment in Virtual Reality Exergames through Experience-driven Procedural Content Generation

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SiReN: Sign-Aware Recommendation Using Graph Neural Networks

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Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves

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Proceedings of the 1st International Workshop on Adaptive Cyber Defense

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ChMusic: A Traditional Chinese Music Dataset for Evaluation of Instrument Recognition

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AIRCHITECT: Learning Custom Architecture Design and Mapping Space

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Analogical Learning in Tactical Decision Games

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Fake News and Phishing Detection Using a Machine Learning Trained Expert System

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Combating Informational Denial-of-Service (IDoS) Attacks: Modeling and Mitigation of Attentional Human Vulnerability

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Deep Natural Language Processing for LinkedIn Search Systems

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Deep Natural Language Processing for LinkedIn Search Systems

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MeDiaQA: A Question Answering Dataset on Medical Dialogues

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SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation

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XAI Methods for Neural Time Series Classification: A Brief Review

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Look Before You Leap! Designing a Human-Centered AI System for Change Risk Assessment

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Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot

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Conditional Variational Capsule Network for Open Set Recognition

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Learning C to x86 Translation: An Experiment in Neural Compilation

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The Ecosystem Path to General AI

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Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19

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Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool

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Autoencoders as Tools for Program Synthesis

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Creating and Querying Personalized Versions of Wikidata on a Laptop

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AutoChart: A Dataset for Chart-to-Text Generation Task

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Augmenting GRIPS with Heuristic Sampling for Planning Feasible Trajectories of a Car-Like Robot

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SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation

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DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants

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A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning

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Fractional Transfer Learning for Deep Model-Based Reinforcement Learning

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Investigating Bias In Automatic Toxic Comment Detection: An Empirical Study

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One-shot Transfer Learning for Population Mapping

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Enhancing audio quality for expressive Neural Text-to-Speech

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Recommending Insurance products by using Users' Sentiments

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Reinforcement Learning for Robot Navigation with Adaptive ExecutionDuration (AED) in a Semi-Markov Model

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Zero-shot Task Transfer for Invoice Extraction via Class-aware QA Ensemble

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TPRM: A Topic-based Personalized Ranking Model for Web Search

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Datasets for Studying Generalization from Easy to Hard Examples

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Ergonomically Intelligent Physical Human-Robot Interaction: Postural Estimation, Assessment, and Optimization

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Simple is better: Making Decision Trees faster using random sampling

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Trends in Neural Architecture Search: Towards the Acceleration of Search

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Improving Human Decision-Making with Machine Learning

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Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL

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Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion

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FeelsGoodMan: Inferring Semantics of Twitch Neologisms

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Learning to Detect: A Data-driven Approach for Network Intrusion Detection

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Transformers predicting the future. Applying attention in next-frame and time series forecasting

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Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections

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Learning to Collaborate

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Data Pricing in Machine Learning Pipelines

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TB-ICT: A Trustworthy Blockchain-Enabled System for Indoor COVID-19 Contact Tracing

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SOME/IP Intrusion Detection using Deep Learning-based Sequential Models in Automotive Ethernet Networks

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Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks

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Effective and scalable clustering of SARS-CoV-2 sequences

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Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention

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DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning

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Modulating Language Models with Emotions

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Aggregated Customer Engagement Model

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When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples

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Modeling Protein Using Large-scale Pretrain Language Model

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Optimal Placement of Public Electric Vehicle Charging Stations Using Deep Reinforcement Learning

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Program Synthesis with Large Language Models

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Harnessing value from data science in business: ensuring explainability and fairness of solutions

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The application of predictive analytics to identify at-risk students in health professions education

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How Powerful is Graph Convolution for Recommendation?

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An End-to-End Deep Learning Approach for Epileptic Seizure Prediction

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Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach

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Using Cyber Terrain in Reinforcement Learning for Penetration Testing

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Detecting and interpreting faults in vulnerable power grids with machine learning

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Near-Optimal No-Regret Learning in General Games

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Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling

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Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation

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Maps Search Misspelling Detection Leveraging Domain-Augmented Contextual Representations

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On Multi-Modal Learning of Editing Source Code

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LayerPipe: Accelerating Deep Neural Network Training by Intra-Layer and Inter-Layer Gradient Pipelining and Multiprocessor Scheduling

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A Machine-Learning-Ready Dataset Prepared from the Solar and Heliospheric Observatory Mission

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Understanding Structural Vulnerability in Graph Convolutional Networks

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MIND - Mainstream and Independent News Documents Corpus

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Using Machine Learning to Predict Engineering Technology Students' Success with Computer Aided Design

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Room Classification on Floor Plan Graphs using Graph Neural Networks

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Low-Resource Adaptation of Open-Domain Generative Chatbots

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MeetSum: Transforming Meeting Transcript Summarization using Transformers!

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Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

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Sentiment Analysis of the COVID-related r/Depression Posts

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An Intelligent Recommendation-cum-Reminder System

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