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?!

Continual Learning for Monolingual End-to-End Automatic Speech Recognition

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A Multimodal Approach for Automatic Mania Assessment in Bipolar Disorder

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ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms

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Automated Deep Learning: Neural Architecture Search Is Not the End

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Feature extraction and classification algorithm, which one is more essential? An experimental study on a specific task of vibration signal diagnosis

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ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime

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A Binded VAE for Inorganic Material Generation

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Autonomous Reinforcement Learning: Formalism and Benchmarking

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Lerna: Transformer Architectures for Configuring Error Correction Tools for Short- and Long-Read Genome Sequencing

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Investigation of Densely Connected Convolutional Networks with Domain Adversarial Learning for Noise Robust Speech Recognition

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Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We?

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RELAX: Representation Learning Explainability

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Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP

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NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems

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Optimization for Master-UAV-powered Auxiliary-Aerial-IRS-assisted IoT Networks: An Option-based Multi-agent Hierarchical Deep Reinforcement Learning Approach

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An ensemble deep learning technique for detecting suicidal ideation from posts in social media platforms

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Mind-proofing Your Phone: Navigating the Digital Minefield with GreaseTerminator

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A data-centric weak supervised learning for highway traffic incident detection

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GPEX, A Framework For Interpreting Artificial Neural Networks

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Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective

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GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics

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Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks

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Managing dataset shift by adversarial validation for credit scoring

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Rethinking Importance Weighting for Transfer Learning

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Modelling of Received Signals in Molecular Communication Systems based machine learning: Comparison of azure machine learning and Python tools

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FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction

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Transformers Can Do Bayesian Inference

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Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model

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Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions

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ANUBIS: A Provenance Graph-Based Framework for Advanced Persistent Threat Detection

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A Scalable Deep Reinforcement Learning Model for Online Scheduling Coflows of Multi-Stage Jobs for High Performance Computing

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Aerial Base Station Positioning and Power Control for Securing Communications: A Deep Q-Network Approach

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Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction

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Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG

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RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction

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Extending CLIP for Category-to-image Retrieval in E-commerce

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GCN-Geo: A Graph Convolution Network-based Fine-grained IP Geolocation Framework

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Natural language processing to identify lupus nephritis phenotype in electronic health records

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Enabling NAS with Automated Super-Network Generation

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Provable Hierarchical Lifelong Learning with a Sketch-based Modular Architecture

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A Pilot Study on Detecting Unfairness in Human Decisions With Machine Learning Algorithmic Bias Detection

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Deep Learning and Earth Observation to Support the Sustainable Development Goals

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Machine Learning Emulation of Urban Land Surface Processes

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LSH methods for data deduplication in a Wikipedia artificial dataset

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AtteSTNet -- An attention and subword tokenization based approach for code-switched Hindi-English hate speech detection

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BACON: Deep-Learning Powered AI for Poetry Generation with Author Linguistic Style Transfer

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Towards Malicious address identification in Bitcoin

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Movie Recommender System using critic consensus

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End to End Software Engineering Research

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Trees in transformers: a theoretical analysis of the Transformer's ability to represent trees

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Catch Me If You GAN: Using Artificial Intelligence for Fake Log Generation

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Encoding protein dynamic information in graph representation for functional residue identification

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Evaluating categorical encoding methods on a real credit card fraud detection database

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Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications

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Calabi-Yau Metrics, Energy Functionals and Machine-Learning

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Comprehensive Movie Recommendation System

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How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation

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Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery

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Deep Filtering with DNN, CNN and RNN

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A Robust Initialization of Residual Blocks for Effective ResNet Training without Batch Normalization

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LAME: Layout Aware Metadata Extraction Approach for Research Articles

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Emulation of greenhouse-gas sensitivities using variational autoencoders

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Newsvendor Model with Deep Reinforcement Learning

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Attention Based Communication and Control for Multi-UAV Path Planning

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AcME -- Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box

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Prolog-based agnostic explanation module for structured pattern classification

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Generating and Exploring S-Box Multivariate Quadratic Equation Systems with SageMath

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Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface

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Neural Architectures for Biological Inter-Sentence Relation Extraction

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Overview of the HASOC Subtrack at FIRE 2021: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages

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WebGPT: Browser-assisted question-answering with human feedback

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Rank4Class: A Ranking Formulation for Multiclass Classification

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Improving scripts with a memory of natural feedback

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Improving Ethical Outcomes with Machine-in-the-Loop: Broadening Human Understanding of Data Annotations

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Neural Born Iteration Method For Solving Inverse Scattering Problems: 2D Cases

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Morpheme Boundary Detection & Grammatical Feature Prediction for Gujarati : Dataset & Model

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Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource Languages

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Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows

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The Web Is Your Oyster -- Knowledge-Intensive NLP against a Very Large Web Corpus

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D-HAN: Dynamic News Recommendation with Hierarchical Attention Network

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Scope and Sense of Explainability for AI-Systems

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NFTGAN: Non-Fungible Token Art Generation Using Generative Adversatial Networks

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Intelligent Online Selling Point Extraction for E-Commerce Recommendation

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Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning

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Diaformer: Automatic Diagnosis via Symptoms Sequence Generation

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TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models

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Fast Algorithms for Poker Require Modelling it as a Sequential Bayesian Game

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DB-BERT: a Database Tuning Tool that "Reads the Manual"

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AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version

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Task-oriented Dialogue Systems: performance vs. quality-optima, a review

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Predicting infections in the Covid-19 pandemic -- lessons learned

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Developing a Trusted Human-AI Network for Humanitarian Benefit

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A next-generation platform for Cyber Range-as-a-Service

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Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems

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Automated Drug-Related Information Extraction from French Clinical Documents: ReLyfe Approach

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ESAN: Efficient Sentiment Analysis Network of A-Shares Research Reports for Stock Price Prediction

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Sentence Embeddings and High-speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents

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Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text Summarization

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Graph augmented Deep Reinforcement Learning in the GameRLand3D environment

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Automatic Product Copywriting for E-Commerce

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VoiceMoji: A Novel On-Device Pipeline for Seamless Emoji Insertion in Dictation

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Activity-based and agent-based Transport model of Melbourne (AToM): an open multi-modal transport simulation model for Greater Melbourne

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Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies

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Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions

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Adversarial Deep Reinforcement Learning for Trustworthy Autonomous Driving Policies

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ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate Data

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Making sense of electrical vehicle discussions using sentiment analysis on closely related news and user comments

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Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

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Curriculum Learning for Safe Mapless Navigation

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Toward a New Science of Common Sense

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An Ontological Knowledge Representation for Smart Agriculture

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A Deep-Learning Framework for Improving COVID-19 CT Image Quality and Diagnostic Accuracy

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Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits

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AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds

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Sim2Real Docs: Domain Randomization for Documents in Natural Scenes using Ray-traced Rendering

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How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation

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Image Inpainting Using AutoEncoder and Guided Selection of Predicted Pixels

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PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision

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Human-Vehicle Cooperative Visual Perception for Shared Autonomous Driving

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Procedural Kernel Networks

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Cinderella's shoe won't fit Soundarya: An audit of facial processing tools on Indian faces

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Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders

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Disentangled representations: towards interpretation of sex determination from hip bone

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A Review on Visual Privacy Preservation Techniques for Active and Assisted Living

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Methods for segmenting cracks in 3d images of concrete: A comparison based on semi-synthetic images

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Watermarking Images in Self-Supervised Latent Spaces

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Video-Based Reconstruction of the Trajectories Performed by Skiers

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AI-Assisted Verification of Biometric Data Collection

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Light Field Neural Rendering

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Neurashed: A Phenomenological Model for Imitating Deep Learning Training

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A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net Discriminators

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A New Image Codec Paradigm for Human and Machine Uses

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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation -- Analysis of Ranking Metrics and Benchmarking Results

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RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment

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A Deep Learning Based Workflow for Detection of Lung Nodules With Chest Radiograph

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HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet

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A Streaming Volumetric Image Generation Framework for Development and Evaluation of Out-of-Core Methods

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Calorie Aware Automatic Meal Kit Generation from an Image

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Enhanced Object Detection in Floor-plan through Super Resolution

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LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision

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Does Explainable Machine Learning Uncover the Black Box in Vision Applications?

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3D Instance Segmentation of MVS Buildings

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Rapid Face Mask Detection and Person Identification Model based on Deep Neural Networks

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ArcFace Knows the Gender, Too!

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Improving Face-Based Age Estimation with Attention-Based Dynamic Patch Fusion

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On Efficient Transformer and Image Pre-training for Low-level Vision

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UnweaveNet: Unweaving Activity Stories

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End-to-End Learning of Multi-category 3D Pose and Shape Estimation

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HVTR: Hybrid Volumetric-Textural Rendering for Human Avatars

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Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection

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Driver Drowsiness Detection Using Ensemble Convolutional Neural Networks on YawDD

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Image Animation with Keypoint Mask

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Fusion and Orthogonal Projection for Improved Face-Voice Association

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Dynamic Hypergraph Convolutional Networks for Skeleton-Based Action Recognition

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DeePaste -- Inpainting for Pasting

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StyleSwin: Transformer-based GAN for High-resolution Image Generation

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Mask2Former for Video Instance Segmentation

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Lite Vision Transformer with Enhanced Self-Attention

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One Sketch for All: One-Shot Personalized Sketch Segmentation

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RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality

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Can We Use Neural Regularization to Solve Depth Super-Resolution?

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EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection

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Efficient Registration of Forest Point Clouds by Global Matching of Relative Stem Positions

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PONet: Robust 3D Human Pose Estimation via Learning Orientations Only

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iSegFormer: Interactive Image Segmentation with Transformers

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Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects

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Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2021

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GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping

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Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation

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Real-time Street Human Motion Capture

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AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation

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JoJoGAN: One Shot Face Stylization

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Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment

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Fusion of medical imaging and electronic health records with attention and multi-head machanisms

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YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles

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Binary Image Skeletonization Using 2-Stage U-Net

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DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect Various AI-Generated Fake Images

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A Single-Target License Plate Detection with Attention

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Two Stream Network for Stroke Detection in Table Tennis

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Spatio-Temporal CNN baseline method for the Sports Video Task of MediaEval 2021 benchmark

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Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving

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Open-Vocabulary Image Segmentation

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Improved 2D Keypoint Detection in Out-of-Balance and Fall Situations -- combining input rotations and a kinematic model

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Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles

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Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?

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Your Face Mirrors Your Deepest Beliefs-Predicting Personality and Morals through Facial Emotion Recognition

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LaTr: Layout-Aware Transformer for Scene-Text VQA

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PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving

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Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey

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3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve

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TagLab: A human-centric AI system for interactive semantic segmentation

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BANMo: Building Animatable 3D Neural Models from Many Casual Videos

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ELSA: Enhanced Local Self-Attention for Vision Transformer

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EEG-Transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined Speech

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JTubeSpeech: corpus of Japanese speech collected from YouTube for speech recognition and speaker verification

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Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus

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Detect what you want: Target Sound Detection

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Melody Harmonization with Controllable Harmonic Rhythm

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Mixed Precision of Quantization of Transformer Language Models for Speech Recognition

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Are E2E ASR models ready for an industrial usage?

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More Reviews May Not Help: Evidence from Incentivized First Reviews on Airbnb

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Dollar Cost Averaging Returns Estimation

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Potential utilization of Battery Energy Storage Systems (BESS) in the major European electricity markets

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Option Pricing Model with Transaction Costs

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@threadreaderapp unroll