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?!

Portfolio optimisation with options

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Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks

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EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge

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Highly Accurate and Reliable Wireless Network Slicing in 5th Generation Networks: A Hybrid Deep Learning Approach

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Attacking Deep Learning AI Hardware with Universal Adversarial Perturbation

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DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

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How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis Task

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A Modular 1D-CNN Architecture for Real-time Digital Pre-distortion

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Learning Free-Surface Flow with Physics-Informed Neural Networks

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Supporting Undotted Arabic with Pre-trained Language Models

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Causal Forecasting:Generalization Bounds for Autoregressive Models

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The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage

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Contrastive Multiview Coding for Enzyme-Substrate Interaction Prediction

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Assessing Social Determinants-Related Performance Bias of Machine Learning Models: A case of Hyperchloremia Prediction in ICU Population

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LAnoBERT : System Log Anomaly Detection based on BERT Masked Language Model

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Features selection in NBA outcome prediction through Deep Learning

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Patent Sentiment Analysis to Highlight Patent Paragraphs

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CAR -- Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles

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ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets

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IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal

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Achievability and Impossibility of Exact Pairwise Ranking

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Assessment of Fetal and Maternal Well-Being During Pregnancy Using Passive Wearable Inertial Sensor

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Exposing Weaknesses of Malware Detectors with Explainability-Guided Evasion Attacks

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Comparative Study of Speech Analysis Methods to Predict Parkinson's Disease

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Residual fourier neural operator for thermochemical curing of composites

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Pointer over Attention: An Improved Bangla Text Summarization Approach Using Hybrid Pointer Generator Network

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Composite Goodness-of-fit Tests with Kernels

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Physics-enhanced Neural Networks in the Small Data Regime

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GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation

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MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather

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Esophageal virtual disease landscape using mechanics-informed machine learning

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Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method

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Towards Traffic Scene Description: The Semantic Scene Graph

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Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari

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Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models

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Quaternion-Based Graph Convolution Network for Recommendation

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Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation

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Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters

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Image-Like Graph Representations for Improved Molecular Property Prediction

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Design of an Novel Spectrum Sensing Scheme Based on Long Short-Term Memory and Experimental Validation

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Is Speech Emotion Recognition Language-Independent? Analysis of English and Bangla Languages using Language-Independent Vocal Features

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Federated Social Recommendation with Graph Neural Network

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ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

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Hierarchical Knowledge Distillation for Dialogue Sequence Labeling

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Scaling Law for Recommendation Models: Towards General-purpose User Representations

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Novel EEG based Schizophrenia Detection with IoMT Framework for Smart Healthcare

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Universal Efficient Variable-rate Neural Image Compression

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The Generalized Cascade Click Model: A Unified Framework for Estimating Click Models

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Machine Learning for Mechanical Ventilation Control (Extended Abstract)

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Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation

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Generation Drawing/Grinding Trajectoy Based on Hierarchical CVAE

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Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records

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Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version

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Feature extraction of machine learning and phase transition point of Ising model

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LeQua@CLEF2022: Learning to Quantify

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SOMPS-Net : Attention based social graph framework for early detection of fake health news

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BarrierNet: A Safety-Guaranteed Layer for Neural Networks

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Teaching Humans When To Defer to a Classifier via Examplars

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Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks

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A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries

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Zero-Shot Open-Book Question Answering

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Machine Learning for Mars Exploration

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Depth Without the Magic: Inductive Bias of Natural Gradient Descent

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Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks

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Modelling Direct Messaging Networks with Multiple Recipients for Cyber Deception

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Is Shapley Explanation for a model unique?

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Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings

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End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices

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Time Series Prediction about Air Quality using LSTM-Based Models: A Systematic Mapping

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Adversarial machine learning for protecting against online manipulation

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Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure

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Causal Analysis and Prediction of Human Mobility in the U.S. during the COVID-19 Pandemic

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A comment on stabilizing reinforcement learning

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Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

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Selection of pseudo-annotated data for adverse drug reaction classification across drug groups

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Filter Methods for Feature Selection in Supervised Machine Learning Applications -- Review and Benchmark

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Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes

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tsflex: flexible time series processing & feature extraction

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MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System

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Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach

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DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior

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The Prominence of Artificial Intelligence in COVID-19

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To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP

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A Survey of Generalisation in Deep Reinforcement Learning

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The Effects of Learning in Morphologically Evolving Robot Systems

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A Secure Experimentation Sandbox for the design and execution of trusted and secure analytics in the aviation domain

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Sustainable Artificial Intelligence through Continual Learning

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Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns

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Reinforcement Learning on Human Decision Models for Uniquely Collaborative AI Teammates

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Explainable predictions of different machine learning algorithms used to predict Early Stage diabetes

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Beyond NDCG: behavioral testing of recommender systems with RecList

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The Joy of Neural Painting

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Data Excellence for AI: Why Should You Care

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MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data

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Exploring Language Patterns in a Medical Licensure Exam Item Bank

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Imitation and Supervised Learning of Compliance for Robotic Assembly

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Real-World Semantic Grasping Detection

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RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders

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Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs

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End-to-end Learning for Fair Ranking Systems

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A Software Tool for Evaluating Unmanned Autonomous Systems

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Knowledge Based Multilingual Language Model

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Operations for Autonomous Spacecraft

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Learning Explicit User Interest Boundary for Recommendation

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Hierarchy Decoder is All You Need To Text Classification

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Distinguishing Engagement Facets: An Essential Component for AI-based Healthcare

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GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation

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DLVGen: A Dual Latent Variable Approach to Personalized Dialogue Generation

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Towards safe, explainable, and regulated autonomous driving

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Towards Integrative Multi-Modal Personal Health Navigation Systems: Framework and Application

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Prediction Model for Mortality Analysis of Pregnant Women Affected With COVID-19

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Link Analysis meets Ontologies: Are Embeddings the Answer?

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Predicting High-Flow Nasal Cannula Failure in an ICU Using a Recurrent Neural Network with Transfer Learning and Input Data Perseveration: A Retrospective Analysis

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Machine unlearning via GAN

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Reviewing continual learning from the perspective of human-level intelligence

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Object Recognition by a Minimally Pre-Trained System in the Process of Environment Exploration

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Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation

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Knowledge Enhanced Sports Game Summarization

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Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach

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An XGBoost-Based Forecasting Framework for Product Cannibalization

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Mimicking Playstyle by Adapting Parameterized Behavior Trees in RTS Games

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From Kepler to Newton: the Role of Explainable AI in Science Discovery

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How does AI play football? An analysis of RL and real-world football strategies

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A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine

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Self-Attending Task Generative Adversarial Network for Realistic Satellite Image Creation

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MPF6D: Masked Pyramid Fusion 6D Pose Estimation

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DeepCurrents: Learning Implicit Representations of Shapes with Boundaries

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Fine-Grained Vehicle Classification in Urban Traffic Scenes using Deep Learning

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Rethinking Drone-Based Search and Rescue with Aerial Person Detection

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3D Lip Event Detection via Interframe Motion Divergence at Multiple Temporal Resolutions

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Developing a Machine Learning Algorithm-Based Classification Models for the Detection of High-Energy Gamma Particles

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Dynamically pruning segformer for efficient semantic segmentation

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Blind VQA on 360° Video via Progressively Learning from Pixels, Frames and Video

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RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation

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SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking

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Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy

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Evaluating Transformers for Lightweight Action Recognition

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Perceiving and Modeling Density is All You Need for Image Dehazing

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ClipCap: CLIP Prefix for Image Captioning

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Interactive segmentation using U-Net with weight map and dynamic user interactions

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The Way to my Heart is through Contrastive Learning: Remote Photoplethysmography from Unlabelled Video

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TransMix: Attend to Mix for Vision Transformers

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LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving

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One-Shot Generative Domain Adaptation

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Swin Transformer V2: Scaling Up Capacity and Resolution

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Restormer: Efficient Transformer for High-Resolution Image Restoration

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PyTorchVideo: A Deep Learning Library for Video Understanding

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Simple but Effective: CLIP Embeddings for Embodied AI

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COVID-19 Detection on Chest X-Ray Images: A comparison of CNN architectures and ensembles

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Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing

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Correcting Face Distortion in Wide-Angle Videos

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Rethink Dilated Convolution for Real-time Semantic Segmentation

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LOLNeRF: Learn from One Look

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CoCAtt: A Cognitive-Conditioned Driver Attention Dataset

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Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints

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Medical Visual Question Answering: A Survey

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Neural Image Beauty Predictor Based on Bradley-Terry Model

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More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech

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DVCFlow: Modeling Information Flow Towards Human-like Video Captioning

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Xp-GAN: Unsupervised Multi-object Controllable Video Generation

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Panoptic Segmentation: A Review

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ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

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A 3D 2D convolutional Neural Network Model for Hyperspectral Image Classification

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Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions

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Urine Microscopic Image Dataset

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Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary

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TransMorph: Transformer for unsupervised medical image registration

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PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation

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Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification

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A Review on The Division of Magnetic Resonant Prostate Images with Deep Learning

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TraVLR: Now You See It, Now You Don't! Evaluating Cross-Modal Transfer of Visio-Linguistic Reasoning

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COVID-19 Detection through Deep Feature Extraction

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Adaptive Transfer Learning: a simple but effective transfer learning

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Backdoor Attack through Frequency Domain

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Talk-to-Resolve: Combining scene understanding and spatial dialogue to resolve granular task ambiguity for a collocated robot

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Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images

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Nanorobot queue: Cooperative treatment of cancer based on team member communication and image processing

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StylePart: Image-based Shape Part Manipulation

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ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation

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Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN

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AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucination

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Real-time Human Detection Model for Edge Devices

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VideoPose: Estimating 6D object pose from videos

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3D Visual Tracking Framework with Deep Learning for Asteroid Exploration

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FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection

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Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks

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CpT: Convolutional Point Transformer for 3D Point Cloud Processing

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XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks

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Video Content Swapping Using GAN

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Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval

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MidNet: An Anchor-and-Angle-Free Detector for Oriented Ship Detection in Aerial Images

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Medical Aegis: Robust adversarial protectors for medical images

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Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021

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Deformation Robust Roto-Scale-Translation Equivariant CNNs

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Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification

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Exploiting Segment-level Semantics for Online Phase Recognition from Surgical Videos

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Face Presentation Attack Detection using Taskonomy Feature

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Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition

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Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes

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FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks

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GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification

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PointMixer: MLP-Mixer for Point Cloud Understanding

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MiNet: A Convolutional Neural Network for Identifying and Categorising Minerals

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Point Cloud Color Constancy

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Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping

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Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information

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Solar Potential Assessment using Multi-Class Buildings Segmentation from Aerial Images

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MetaFormer is Actually What You Need for Vision

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Neural Fields in Visual Computing and Beyond

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Benchmarking Detection Transfer Learning with Vision Transformers

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RedCaps: web-curated image-text data created by the people, for the people

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Florence: A New Foundation Model for Computer Vision

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Building Goal-Oriented Dialogue Systems with Situated Visual Context

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Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network

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Variance Reduction in Deep Learning: More Momentum is All You Need

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VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles

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Ice hockey player identification via transformers

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Camera Measurement of Physiological Vital Signs

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ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images

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Generative Adversarial Networks for Astronomical Images Generation

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Simultaneous face detection and 360 degree headpose estimation

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PointCrack3D: Crack Detection in Unstructured Environments using a 3D-Point-Cloud-Based Deep Neural Network

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Using mixup as regularization and tuning hyper-parameters for ResNets

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CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning

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HybridGazeNet: Geometric model guided Convolutional Neural Networks for gaze estimation

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A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle

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Gait Identification under Surveillance Environment based on Human Skeleton

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ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives

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Pruning Self-attentions into Convolutional Layers in Single Path

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U-shape Transformer for Underwater Image Enhancement

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Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks

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Hierarchical Graph Networks for 3D Human Pose Estimation

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PAM: Pose Attention Module for Pose-Invariant Face Recognition

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Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept

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PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer

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Challenges of Adversarial Image Augmentations

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Water Care: Water Surface Cleaning Bot and Water Body Surveillance System

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Bounding Box-Free Instance Segmentation Using Semi-Supervised Learning for Generating a City-Scale Vehicle Dataset

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PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer

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Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation

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Scaling Up Vision-Language Pre-training for Image Captioning

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PU-Transformer: Point Cloud Upsampling Transformer

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Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes

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Real-time smart vehicle surveillance system

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Attention-based Dual-stream Vision Transformer for Radar Gait Recognition

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Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice

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An Image Patch is a Wave: Phase-Aware Vision MLP

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PTQ4ViT: Post-Training Quantization Framework for Vision Transformers

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Human Activity Recognition Using 3D Orthogonally-projected EfficientNet on Radar Time-Range-Doppler Signature

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One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data

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NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion

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3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces

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Hierarchical Modular Network for Video Captioning

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Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences

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Intuitive Shape Editing in Latent Space

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MorphMLP: A Self-Attention Free, MLP-Like Backbone for Image and Video

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Conditional Object-Centric Learning from Video

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Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion

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Self-slimmed Vision Transformer

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EAD: an ensemble approach to detect adversarial examples from the hidden features of deep neural networks

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VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling

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EgoRenderer: Rendering Human Avatars from Egocentric Camera Images

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A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose

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Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes

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Investigating Tradeoffs in Real-World Video Super-Resolution

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MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

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Transformer-S2A: Robust and Efficient Speech-to-Animation

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Prosodic Clustering for Phoneme-level Prosody Control in End-to-End Speech Synthesis

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ARMAS: Active Reconstruction of Missing Audio Segments

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Deep Spoken Keyword Spotting: An Overview

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Implicit Acoustic Echo Cancellation for Keyword Spotting and Device-Directed Speech Detection

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Automatic Detection of Depression from Stratified Samples of Audio Data

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Multi-Channel Multi-Speaker ASR Using 3D Spatial Feature

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Comparing the Accuracy of Deep Neural Networks (DNN) and Convolutional Neural Network (CNN) in Music Genre Recognition (MGR): Experiments on Kurdish Music

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Guided-TTS:Text-to-Speech with Untranscribed Speech

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Longitudinal Speech Biomarkers for Automated Alzheimer's Detection

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One-shot Voice Conversion For Style Transfer Based On Speaker Adaptation

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How Speech is Recognized to Be Emotional - A Study Based on Information Decomposition

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FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance

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Pricing S&P 500 Index Options with Lévy Jumps

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Drewnowski's index to measure lifespan variation: Revisiting the Gini coefficient of the life table

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On the systemic nature of global inflation, its association with equity markets and financial portfolio implications

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Portfolio optimization with idiosyncratic and systemic risks for financial networks

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Investing in a cryptocurrency price bubble: speculative Ponzi schemes and cyclic stochastic price pumps

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Pricing cryptocurrencies : Modelling the ETHBTC spot-quotient variation as a diffusion process

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