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?!

A Hybrid Learning Approach to Detecting Regime Switches in Financial Markets

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Networks of News and the Cross-Sectional Returns

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Benefits of marriage as a search strategy

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Knowledge for a warmer world: a patent analysis of climate change adaptation technologies

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Supervised Neural Networks for Illiquid Alternative Asset Cash Flow Forecasting

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Two-Stage Sector Rotation Methodology Using Machine Learning and Deep Learning Techniques

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Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist

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RW-Resnet: A Novel Speech Anti-Spoofing Model Using Raw Waveform

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Deep Neural Network Voice Activity Detector for Downsampled Audio Data: An Experiment Report

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Text Anchor Based Metric Learning for Small-footprint Keyword Spotting

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On The Compensation Between Magnitude and Phase in Speech Separation

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Xi-Vector Embedding for Speaker Recognition

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Dereverberation of Autoregressive Envelopes for Far-field Speech Recognition

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Mispronunciation Detection and Correction via Discrete Acoustic Units

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FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

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An empirical investigation into audio pipeline approaches for classifying bird species

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StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition

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Automated Audio Captioning using Transfer Learning and Reconstruction Latent Space Similarity Regularization

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Generating Music and Generative Art from Brain activity

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Segmentation-free Heart Pathology Detection Using Deep Learning

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A Unified Model for Zero-shot Music Source Separation, Transcription and Synthesis

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A Streamwise GAN Vocoder for Wideband Speech Coding at Very Low Bit Rate

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The EIHW-GLAM Deep Attentive Multi-model Fusion System for Cough-based COVID-19 Recognition in the DiCOVA 2021 Challenge

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An Empirical Study on End-to-End Singing Voice Synthesis with Encoder-Decoder Architectures

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Mobile-Former: Bridging MobileNet and Transformer

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MicroNet: Improving Image Recognition with Extremely Low FLOPs

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PixelSynth: Generating a 3D-Consistent Experience from a Single Image

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Unconditional Scene Graph Generation

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AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds

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Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture

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Oriented R-CNN for Object Detection

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MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation

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UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing

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Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought

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3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud

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DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes

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iButter: Neural Interactive Bullet Time Generator for Human Free-viewpoint Rendering

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Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photography

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HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton

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Attention-driven Graph Clustering Network

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Weakly Supervised Medical Image Segmentation

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Voxel-level Importance Maps for Interpretable Brain Age Estimation

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DexMV: Imitation Learning for Dexterous Manipulation from Human Videos

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An Approach to Partial Observability in Games: Learning to Both Act and Observe

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Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data

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perf4sight: A toolflow to model CNN training performance on Edge GPUs

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Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases

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ConvNets vs. Transformers: Whose Visual Representations are More Transferable?

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Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling

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Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather

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A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes

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ProAI: An Efficient Embedded AI Hardware for Automotive Applications - a Benchmark Study

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M3D-VTON: A Monocular-to-3D Virtual Try-On Network

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Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning

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Prototype Completion for Few-Shot Learning

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Simple black-box universal adversarial attacks on medical image classification based on deep neural networks

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An Image-based Generator Architecture for Synthetic Image Refinement

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Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion

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FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation

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How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?

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MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision

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A Transformer-based Math Language Model for Handwritten Math Expression Recognition

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Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds

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BIDCD - Bosch Industrial Depth Completion Dataset

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U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations

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FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network

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Learning Canonical 3D Object Representation for Fine-Grained Recognition

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Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving

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UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks

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Deep Metric Learning for Open World Semantic Segmentation

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Understanding Character Recognition using Visual Explanations Derived from the Human Visual System and Deep Networks

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Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation

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Hand Pose Classification Based on Neural Networks

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Scalable Reverse Image Search Engine for NASAWorldview

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SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation

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SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer

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Domain-Aware Universal Style Transfer

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Convolutional Nets for Diabetic Retinopathy Screening in Bangladeshi Patients

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MotionInput v2.0 supporting DirectX: A modular library of open-source gesture-based machine learning and computer vision methods for interacting and controlling existing software with a webcam

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A Robust Lane Detection Associated with Quaternion Hardy Filter

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Adversarial Open Domain Adaption Framework (AODA): Sketch-to-Photo Synthesis

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VirtualConductor: Music-driven Conducting Video Generation System

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Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images

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A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging

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Creating synthetic meteorology satellite visible light images during night based on GAN method

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AnyoneNet: Synchronized Speech and Talking Head Generation for Arbitrary Person

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Learning to Cut by Watching Movies

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Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI

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GANmapper: geographical content filling

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TrUMAn: Trope Understanding in Movies and Animations

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FairyTailor: A Multimodal Generative Framework for Storytelling

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Towards Better Uncertainty: Iterative Training of Efficient Networks for Multitask Emotion Recognition

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AutoVideo: An Automated Video Action Recognition System

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Pose is all you need: The pose only group activity recognition system (POGARS)

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Using Deep Learning for Visual Decoding and Reconstruction from Brain Activity: A Review

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Zero in on Shape: A Generic 2D-3D Instance Similarity Metric learned from Synthetic Data

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Two-stream Convolutional Networks for Multi-frame Face Anti-spoofing

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Tensor Yard: One-Shot Algorithm of Hardware-Friendly Tensor-Train Decomposition for Convolutional Neural Networks

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Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models

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DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation

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TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network

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FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution

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FIFA: Fast Inference Approximation for Action Segmentation

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TransForensics: Image Forgery Localization with Dense Self-Attention

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Complementary Patch for Weakly Supervised Semantic Segmentation

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COVID-view: Diagnosis of COVID-19 using Chest CT

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Paint Transformer: Feed Forward Neural Painting with Stroke Prediction

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Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching

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BIGRoC: Boosting Image Generation via a Robust Classifier

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Skeleton-Contrastive 3D Action Representation Learning

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From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder

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AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

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Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud

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WideCaps: A Wide Attention based Capsule Network for Image Classification

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ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approach

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LeafMask: Towards Greater Accuracy on Leaf Segmentation

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ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation

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NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models

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PSViT: Better Vision Transformer via Token Pooling and Attention Sharing

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A Categorized Reflection Removal Dataset with Diverse Real-world Scenes

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Learning Indoor Layouts from Simple Point-Clouds

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Medical image segmentation with imperfect 3D bounding boxes

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The Right to Talk: An Audio-Visual Transformer Approach

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Deep Learning for Embodied Vision Navigation: A Survey

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3D Human Reconstruction in the Wild with Collaborative Aerial Cameras

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Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways

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GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network

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Real-time Geo-localization Using Satellite Imagery and Topography for Unmanned Aerial Vehicles

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iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

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Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia

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Feature Detection for Hand Hygiene Stages

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MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review

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AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo

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Learning Meta-class Memory for Few-Shot Semantic Segmentation

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Deep Learning-based Biological Anatomical Landmark Detection in Colonoscopy Videos

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Vision-Based Food Analysis for Automatic Dietary Assessment

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Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles

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From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

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Detailed Avatar Recovery from Single Image

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VinaFood21: A Novel Dataset for Evaluating Vietnamese Food Recognition

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Disentangled Lifespan Face Synthesis

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Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications

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Neural Twins Talk & Alternative Calculations

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A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse

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COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound Imaging

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Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning

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Competency Model Approach to AI Literacy: Research-based Path from Initial Framework to Model

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Intelligent computational model for the classification of Covid-19 with chest radiography compared to other respiratory diseases

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A Mathematical Approach to Constraining Neural Abstraction and the Mechanisms Needed to Scale to Higher-Order Cognition

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Friddy multiagent price stabilization model

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Analyzing Race and Country of Citizenship Bias in Wikidata

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User-friendly Comparison of Similarity Algorithms on Wikidata

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Reimagining an autonomous vehicle

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Reply to arXiv:2102.11963, An experimental demonstration of the memristor test, Y. V. Pershin, J. Kim, T. Datta, M. Di Ventra, 23 Feb 2021. Does an ideal memristor truly exist?

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Development of Risk-Free COVID-19 Screening Algorithm from Routine Blood Test using Ensemble Machine Learning

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A Survey on Deep Reinforcement Learning for Data Processing and Analytics

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Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness

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Snakes AI Competition 2020 and 2021 Report

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Abstractive Sentence Summarization with Guidance of Selective Multimodal Reference

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Knowledge-Based Stable Roommates Problem: A Real-World Application

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DeliData: A dataset for deliberation in multi-party problem solving

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Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles

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Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attack

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Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis

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PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage

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An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models

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End-to-End User Behavior Retrieval in Click-Through RatePrediction Model

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Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey

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High Quality Related Search Query Suggestions using Deep Reinforcement Learning

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Harnessing Incremental Answer Set Solving for Reasoning in Assumption-Based Argumentation

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Determining Sentencing Recommendations and Patentability Using a Machine Learning Trained Expert System

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Knowledge accumulating: The general pattern of learning

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"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis

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Sinogram Denoise Based on Generative Adversarial Networks

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Toward Human-Level Artificial Intelligence

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Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents

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Identification of Play Styles in Universal Fighting Engine

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Vision Transformers for femur fracture classification

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Artificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges

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A Smart and Defensive Human-Machine Approach to Code Analysis

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Identifying Wetland Areas in Historical Maps using Deep Convolutional Neural Networks

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Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey

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Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles

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Knowledge Graph Augmented Political Perspective Detection in News Media

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Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims

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Event-driven Vision and Control for UAVs on a Neuromorphic Chip

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Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures

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HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition

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Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning

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Offensive Language and Hate Speech Detection with Deep Learning and Transfer Learning

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What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

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ProcessCO v1.3's Terms, Properties, Relationships and Axioms - A Core Ontology for Processes

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Incremental learning of LSTM framework for sensor fusion in attitude estimation

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RockGPT: Reconstructing three-dimensional digital rocks from single two-dimensional slice from the perspective of video generation

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Hate Speech Detection in Roman Urdu

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AffRankNet+: Ranking Affect Using Privileged Information

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Fair Decision-Making for Food Inspections

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Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback

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Goal scoring in Premier League with Poisson regression

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Agnostic Online Learning and Excellent Sets

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Attacks against Ranking Algorithms with Text Embeddings: a Case Study on Recruitment Algorithms

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Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems

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LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising

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Creutzfeldt-Jakob Disease Prediction Using Machine Learning Techniques

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Analysis of ODE2VAE with Examples

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The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study

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Natural Language-guided Programming

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Deep2Lead: A distributed deep learning application for small molecule lead optimization

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ULTRA: An Unbiased Learning To Rank Algorithm Toolbox

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Predicting Molecular Phenotypes with Single Cell RNA Sequencing Data: an Assessment of Unsupervised Machine Learning Models

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Deep Pairwise Learning To Rank For Search Autocomplete

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SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)

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A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction

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A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models

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Post-hoc Interpretability for Neural NLP: A Survey

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Analyzing Effects of The COVID-19 Pandemic on Road Traffic Safety: The Cases of New York City, Los Angeles, and Boston

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Bandit Algorithms for Precision Medicine

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ChemiRise: a data-driven retrosynthesis engine

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Diversity-aware Web APIs Recommendation with Compatibility Guarantee

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Classification of Influenza Hemagglutinin Protein Sequences using Convolutional Neural Networks

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Earables for Detection of Bruxism: a Feasibility Study

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Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels

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Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces

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Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning

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Deep Neural Network for DrawiNg Networks, (DNN)^2

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Approximate Last Iterate Convergence in Overparameterized GANs

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A Machine Learning Tool to Determine State of Mind and Emotion

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A Deep Neural Network Approach for Crop Selection and Yield Prediction in Bangladesh

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Scaling New Peaks: A Viewership-centric Approach to Automated Content Curation

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Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review

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DGEM: A New Dual-modal Graph Embedding Method in Recommendation System

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Language Model Evaluation in Open-ended Text Generation

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Recurrent Graph Neural Networks for Rumor Detection in Online Forums

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Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction

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Inspecting the Process of Bank Credit Rating via Visual Analytics

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Mitigating dataset harms requires stewardship: Lessons from 1000 papers

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Understanding Human Innate Immune System Dependencies using Graph Neural Networks

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An Elementary Proof that Q-learning Converges Almost Surely

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Potential Applications of Artificial Intelligence and Machine Learning in Radiochemistry and Radiochemical Engineering

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Using Machine Learning to Predict Game Outcomes Based on Player-Champion Experience in League of Legends

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Feature Augmented Hybrid CNN for Stress Recognition Using Wrist-based Photoplethysmography Sensor

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Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work

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Is it Fake? News Disinformation Detection on South African News Websites

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Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documents

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