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?!

Artificial Intelligence Powered Material Search Engine

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Knowledge Graph Based Waveform Recommendation: A New Communication Waveform Design Paradigm

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Twitter Referral Behaviours on News Consumption with Ensemble Clustering of Click-Stream Data in Turkish Media

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Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation

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Rediscovering orbital mechanics with machine learning

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Rethinking Explainability as a Dialogue: A Practitioner's Perspective

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Learning from a Learning User for Optimal Recommendations

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Unified Fake News Detection using Transfer Learning of Bidirectional Encoder Representation from Transformers model

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Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services

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Data Scaling Laws in NMT: The Effect of Noise and Architecture

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TIML: Task-Informed Meta-Learning for Agriculture

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CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software

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Frequency comb and machine learning-based breath analysis for COVID-19 classification

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Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting

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BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning

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Enabling Automatic Repair of Source Code Vulnerabilities Using Data-Driven Methods

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SODA: Self-organizing data augmentation in deep neural networks -- Application to biomedical image segmentation tasks

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Link Prediction of Artificial Intelligence Concepts using Low Computational Power

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A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting

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Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine

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Lightweight Compositional Embeddings for Incremental Streaming Recommendation

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A Machine Learning Approach for Material Type Logging and Chemical Assaying from Autonomous Measure-While-Drilling (MWD) Data

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Neural Tangent Kernel Analysis of Deep Narrow Neural Networks

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CECILIA: Comprehensive Secure Machine Learning Framework

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Bayesian Linear Bandits for Large-Scale Recommender Systems

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Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences

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Forecasting: theory and practice

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Universal Spam Detection using Transfer Learning of BERT Model

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Optimizing Warfarin Dosing using Deep Reinforcement Learning

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Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records

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TACTiS: Transformer-Attentional Copulas for Time Series

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data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language

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NxtPost: User to Post Recommendations in Facebook Groups

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Width is Less Important than Depth in ReLU Neural Networks

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COVID-19 Hospitalizations Forecasts Using Internet Search Data

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CausPref: Causal Preference Learning for Out-of-Distribution Recommendation

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VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming

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RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro

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Scenario-Assisted Deep Reinforcement Learning

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A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective

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Deep learning for drug repurposing: methods, databases, and applications

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EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction

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Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials

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Characterizing, Detecting, and Predicting Online Ban Evasion

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The leap to ordinal: functional prognosis after traumatic brain injury using artificial intelligence

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Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment

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Machine Learning and Data Science: Foundations, Concepts, Algorithms, and Tools

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Deadwooding: Robust Global Pruning for Deep Neural Networks

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Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis

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Yordle: An Efficient Imitation Learning for Branch and Bound

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Tsetlin Machine for Solving Contextual Bandit Problems

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Brain-Computer-Interface controlled robot via RaspberryPi and PiEEG

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Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis

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Proceedings 10th International Workshop on Theorem Proving Components for Educational Software

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OntoSeer -- A Recommendation System to Improve the Quality of Ontologies

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Malleable Agents for Re-Configurable Robotic Manipulators

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OMLT: Optimization & Machine Learning Toolkit

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Doing Right by Not Doing Wrong in Human-Robot Collaboration

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TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network

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Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors

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Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review

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Jury Learning: Integrating Dissenting Voices into Machine Learning Models

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Comprehensive survey of computational learning methods for analysis of gene expression data in genomics

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Mental Stress Detection using Data from Wearable and Non-wearable Sensors: A Review

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Artificial Intelligence based tool wear and defect prediction for special purpose milling machinery using low-cost acceleration sensor retrofits

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Conversational Agents: Theory and Applications

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The 6-Ds of Creating AI-Enabled Systems

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Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition

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Mental Disorders on Online Social Media Through the Lens of Language and Behaviour: Analysis and Visualisation

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The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law

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Approaches to Artificial General Intelligence: An Analysis

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Existence and perception as the basis of AGI (Artificial General Intelligence)

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Knowledge-Integrated Informed AI for National Security

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AI Research Associate for Early-Stage Scientific Discovery

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A Ranking Game for Imitation Learning

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ECRECer: Enzyme Commission Number Recommendation and Benchmarking based on Multiagent Dual-core Learning

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Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis

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The Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software Engineering

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Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits

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skrl: Modular and Flexible Library for Reinforcement Learning

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TimeLMs: Diachronic Language Models from Twitter

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MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation

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Detecting Anomalies within Time Series using Local Neural Transformations

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Provable Reinforcement Learning with a Short-Term Memory

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Four Geometry Problems to Introduce Automated Deduction in Secondary Schools

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Logical Reasoning for Task Oriented Dialogue Systems

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Model Architecture Adaption for Bayesian Neural Networks

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Machine Explanations and Human Understanding

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Financial Vision Based Reinforcement Learning Trading Strategy

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Using a Language Model in a Kiosk Recommender System at Fast-Food Restaurants

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"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders

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Target-aware Molecular Graph Generation

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Investigating Explainability of Generative AI for Code through Scenario-based Design

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AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks

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Efficacy of Transformer Networks for Classification of Raw EEG Data

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ChemicalX: A Deep Learning Library for Drug Pair Scoring

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Proceedings of the Robust Artificial Intelligence System Assurance (RAISA) Workshop 2022

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Needs-aware Artificial Intelligence: AI that 'serves [human] needs'

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Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification

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HRBF-Fusion: Accurate 3D reconstruction from RGB-D data using on-the-fly implicits

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Advances in MetaDL: AAAI 2021 challenge and workshop

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Projection-based Point Convolution for Efficient Point Cloud Segmentation

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Image-to-Image MLP-mixer for Image Reconstruction

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Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss

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Feature-Style Encoder for Style-Based GAN Inversion

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Bootstrapped Representation Learning for Skeleton-Based Action Recognition

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VIS-iTrack: Visual Intention through Gaze Tracking using Low-Cost Webcam

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Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification

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CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI

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Evaluation of Runtime Monitoring for UAV Emergency Landing

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TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer

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Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects

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StandardSim: A Synthetic Dataset For Retail Environments

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Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation

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PrivPAS: A real time Privacy-Preserving AI System and applied ethics

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Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting

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Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL)

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A survey of top-down approaches for human pose estimation

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Portrait Segmentation Using Deep Learning

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FEAT: Face Editing with Attention

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Learning Features with Parameter-Free Layers

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Block shuffling learning for Deepfake Detection

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3D Object Detection from Images for Autonomous Driving: A Survey

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Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

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Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics

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Patch-Based Stochastic Attention for Image Editing

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Field-of-View IoU for Object Detection in 360° Images

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Recent Trends in 2D Object Detection and Applications in Video Event Recognition

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A Topology-Attention ConvLSTM Network and Its Application to EM Images

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Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning with Pairwise Alignment

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Hair Color Digitization through Imaging and Deep Inverse Graphics

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If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components

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Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning

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Integrated Multiscale Domain Adaptive YOLO

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SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks

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LwPosr: Lightweight Efficient Fine-Grained Head Pose Estimation

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HeadPosr: End-to-end Trainable Head Pose Estimation using Transformer Encoders

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MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis

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How to Understand Masked Autoencoders

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What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification

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Social-DualCVAE: Multimodal Trajectory Forecasting Based on Social Interactions Pattern Aware and Dual Conditional Variational Auto-Encoder

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NEWSKVQA: Knowledge-Aware News Video Question Answering

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Self-Conditioned Generative Adversarial Networks for Image Editing

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DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers

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The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms

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Can Open Domain Question Answering Systems Answer Visual Knowledge Questions?

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Face2PPG: An unsupervised pipeline for blood volume pulse extraction from faces

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MaskGIT: Masked Generative Image Transformer

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Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations

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Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning

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GiraffeDet: A Heavy-Neck Paradigm for Object Detection

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Conditional Motion In-betweening

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NIMBLE: A Non-rigid Hand Model with Bones and Muscles

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Can Humans Do Less-Than-One-Shot Learning?

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Memory-based gaze prediction in deep imitation learning for robot manipulation

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Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning

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Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation

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A Novel Encoder-Decoder Network with Guided Transmission Map for Single Image Dehazing

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Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios

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The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning

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PVSeRF: Joint Pixel-, Voxel- and Surface-Aligned Radiance Field for Single-Image Novel View Synthesis

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Spherical Transformer

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NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN

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Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning

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Block-NeRF: Scalable Large Scene Neural View Synthesis

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Musical Audio Similarity with Self-supervised Convolutional Neural Networks

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Pipe Overflow: Smashing Voice Authentication for Fun and Profit

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On Using Transformers for Speech-Separation

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Building Synthetic Speaker Profiles in Text-to-Speech Systems

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Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition

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A Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning for Hearing-Assistive Technologies

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The Volcspeech system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge

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Binaural Audio Rendering in the Spherical Harmonic Domain: A Summary of the Mathematics and its Pitfalls

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Cross-speaker style transfer for text-to-speech using data augmentation

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Conditional Diffusion Probabilistic Model for Speech Enhancement

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SHAS: Approaching optimal Segmentation for End-to-End Speech Translation

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Royalflush Speaker Diarization System for ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge

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StonkBERT: Can Language Models Predict Medium-Run Stock Price Movements?

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Derivatives Holdings and Systemic Risk in the U.S. Banking Sector

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Portfolio Choice with Indivisible and Illiquid Housing Assets: The Case of Spain

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The end of 'set it and forget it' pricing? Opportunities for market-based freight contracts

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The economics of malnutrition: Dietary transition and food system transformation

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Hierarchical Risk Parity and Minimum Variance Portfolio Design on NIFTY 50 Stocks

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Is Metaverse LAND a good investment? It depends on your unit of account!

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Comparative Study of Machine Learning Models for Stock Price Prediction

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Facebook Shadow Profiles

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Vaccination nudges

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