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?!

Spinning Language Models for Propaganda-As-A-Service

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Modelling DDoS Attacks in IoT Networks using Machine Learning

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Discourse-Aware Prompt Design for Text Generation

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Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences

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Encoding priors in the brain: a reinforcement learning model for mouse decision making

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Revisiting the Boundary between ASR and NLU in the Age of Conversational Dialog Systems

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An Empirical Study on Relation Extraction in the Biomedical Domain

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Optimization of Residual Convolutional Neural Network for Electrocardiogram Classification

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Behavior measures are predicted by how information is encoded in an individual's brain

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OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion

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Semi-supervised teacher-student deep neural network for materials discovery

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Programming with Neural Surrogates of Programs

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Quantum kernels for real-world predictions based on electronic health records

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Surfer100: Generating Surveys From Web Resources on Wikipedia-style

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N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks

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You Can Wash Better: Daily Handwashing Assessment with Smartwatches

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Nonlinear pile-up separation with LSTM neural networks for cryogenic particle detectors

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Edge-Compatible Reinforcement Learning for Recommendations

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Neural Network Quantization for Efficient Inference: A Survey

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Hidden Effects of COVID-19 on Healthcare Workers: A Machine Learning Analysis

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Fairness for Robust Learning to Rank

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Predicting Airbnb Rental Prices Using Multiple Feature Modalities

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Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review

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Efficient spatio-temporal weather forecasting using U-Net

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HiClass: a Python library for local hierarchical classification compatible with scikit-learn

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On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters

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Unraveling Social Perceptions & Behaviors towards Migrants on Twitter

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On the Value of ML Models

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Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing

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Designing weighted and multiplex networks for deep learning user geolocation in Twitter

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Survey of Generative Methods for Social Media Analysis

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Language Models are not Models of Language

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Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models

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DiPS: Differentiable Policy for Sketching in Recommender Systems

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Tree-based Focused Web Crawling with Reinforcement Learning

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Robust Information Retrieval for False Claims with Distracting Entities In Fact Extraction and Verification

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On The Reliability Of Machine Learning Applications In Manufacturing Environments

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Teaching a Robot to Walk Using Reinforcement Learning

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How to Learn when Data Gradually Reacts to Your Model

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TopNet: Learning from Neural Topic Model to Generate Long Stories

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Graph Kernel Neural Networks

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Bayesian Learning of Play Styles in Multiplayer Video Games

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Classifying Emails into Human vs Machine Category

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EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In-Situ Code Search and Recommendation

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Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing

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Multi-modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations

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Measure and Improve Robustness in NLP Models: A Survey

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GenIE: Generative Information Extraction

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Scatterbrained: A flexible and expandable pattern for decentralized machine learning

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Fix your Models by Fixing your Datasets

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Investigating myocardial infarction and its effects in patients with urgent medical problems using advanced data mining tools

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Ten years of image analysis and machine learning competitions in dementia

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Solving the Data Sparsity Problem in Predicting the Success of the Startups with Machine Learning Methods

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Head Matters: Explainable Human-centered Trait Prediction from Head Motion Dynamics

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Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning

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Generative Adversarial Networks for Data Generation in Structural Health Monitoring

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Online Feature Selection for Efficient Learning in Networked Systems

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Estimating Uncertainty For Vehicle Motion Prediction on Yandex Shifts Dataset

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Learning Rich Representation of Keyphrases from Text

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IsometricMT: Neural Machine Translation for Automatic Dubbing

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Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems

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CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain

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A Proposition-Level Clustering Approach for Multi-Document Summarization

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Ditch the Gold Standard: Re-evaluating Conversational Question Answering

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A Heterogeneous Graph Learning Model for Cyber-Attack Detection

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Estimation of Physical Activity Level and Ambient Condition Thresholds for Respiratory Health using Smartphone Sensors

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Deep Generative Models for Vehicle Speed Trajectories

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torch.fx: Practical Program Capture and Transformation for Deep Learning in Python

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Intelligent Bearing Fault Diagnosis Method Combining Mixed Input and Hybrid CNN-MLP model

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Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data

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End-to-End Multi-Task Deep Learning and Model Based Control Algorithm for Autonomous Driving

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Where is Memory Information Stored in the Brain?

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Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization

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Autonomous Aerial Robot for High-Speed Search and Intercept Applications

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Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations

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Marvin: Innovative Omni-Directional Robotic Assistant for Domestic Environments

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A Generative Car-following Model Conditioned On Driving Styles

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A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study

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DEBACER: a method for slicing moderated debates

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Towards autonomous artificial agents with an active self: modeling sense of control in situated action

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AAAI FSS-21: Artificial Intelligence in Government and Public Sector Proceedings

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A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions

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A Puzzle-Based Dataset for Natural Language Inference

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Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain

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Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition

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Neural Attention Models in Deep Learning: Survey and Taxonomy

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MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare

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Extending AdamW by Leveraging Its Second Moment and Magnitude

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Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward

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Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentation

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Weakly Supervised Mapping of Natural Language to SQL through Question Decomposition

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A Survey on Societal Event Forecasting with Deep Learning

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ValueNet: A New Dataset for Human Value Driven Dialogue System

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Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer

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A Survey of Toxic Comment Classification Methods

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A Methodology for a Scalable, Collaborative, and Resource-Efficient Platform to Facilitate Healthcare AI Research

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Representing Knowledge as Predictions (and State as Knowledge)

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Explanation Container in Case-Based Biomedical Question-Answering

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Frontiers in Collective Intelligence: A Workshop Report

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Controlled Cue Generation for Play Scripts

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Building on Huang et al. GlossBERT for Word Sense Disambiguation

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ACE-BERT: Adversarial Cross-modal Enhanced BERT for E-commerce Retrieval

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From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression

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Learning to Guide and to Be Guided in the Architect-Builder Problem

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AI Ethics Principles in Practice: Perspectives of Designers and Developers

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Obtaining Calibrated Probabilities with Personalized Ranking Models

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Semantic Answer Type and Relation Prediction Task (SMART 2021)

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The King is Naked: on the Notion of Robustness for Natural Language Processing

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ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs

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How and Why to Manipulate Your Own Agent

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Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases

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Towards Controllable Agent in MOBA Games with Generative Modeling

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Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information

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TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials

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Est-ce que vous compute? Code-switching, cultural identity, and AI

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Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities

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Programming Knowledge Tracing: A Comprehensive Dataset and A New Model

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Textless Speech-to-Speech Translation on Real Data

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Planning with Biological Neurons and Synapses

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AGMI: Attention-Guided Multi-omics Integration for Drug Response Prediction with Graph Neural Networks

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DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization

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Programmatic Reward Design by Example

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Towards Explainable Artificial Intelligence in Banking and Financial Services

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Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)

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The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences

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NewsClaims: A New Benchmark for Claim Detection from News with Background Knowledge

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Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learning

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Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge

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DREAM: Uncovering Mental Models behind Language Models

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COVID-19 Electrocardiograms Classification using CNN Models

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Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning

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A molecular generative model with genetic algorithm and tree search for cancer samples

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ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing

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SanMove: Next Location Recommendation via Self-Attention Network

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Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce

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Predicting Physical World Destinations for Commands Given to Self-Driving Cars

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An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots

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Artificial Intellgence -- Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021

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Deep Learning based Framework for Automatic Diagnosis of Glaucoma based on analysis of Focal Notching in the Optic Nerve Head

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7th AI Driving Olympics: 1st Place Report for Panoptic Tracking

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Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning

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CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions

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Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production

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The Many Faces of Anger: A Multicultural Video Dataset of Negative Emotions in the Wild (MFA-Wild)

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Image-to-Image Translation-based Data Augmentation for Robust EV Charging Inlet Detection

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3D Scene Understanding at Urban Intersection using Stereo Vision and Digital Map

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IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes

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FaceFormer: Speech-Driven 3D Facial Animation with Transformers

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The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled Continuously Growing Dataset

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Multimedia Datasets for Anomaly Detection: A Survey

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DronePose: The identification, segmentation, and orientation detection of drones via neural networks

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CityNeRF: Building NeRF at City Scale

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PERF: Performant, Explicit Radiance Fields

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Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms

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A Deep Learning Based Automated Hand Hygiene Training System

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Neural Belief Propagation for Scene Graph Generation

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PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics

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Information Prebuilt Recurrent Reconstruction Network for Video Super-Resolution

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Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT

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NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector

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gACSON software for automated segmentation and morphology analyses of myelinated axons in 3D electron microscopy

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Ex-Model: Continual Learning from a Stream of Trained Models

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Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels

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Hformer: Hybrid CNN-Transformer for Fringe Order Prediction in Phase Unwrapping of Fringe Projection

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Deep ViT Features as Dense Visual Descriptors

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Attacking Point Cloud Segmentation with Color-only Perturbation

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AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANs

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Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness

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Object Counting: You Only Need to Look at One

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On Automatic Data Augmentation for 3D Point Cloud Classification

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Improving Vision Transformers for Incremental Learning

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Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection

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Learning from the Tangram to Solve Mini Visual Tasks

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Controlled-rearing studies of newborn chicks and deep neural networks

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Sidewalk Measurements from Satellite Images: Preliminary Findings

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Magnifying Networks for Images with Billions of Pixels

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MVLayoutNet:3D layout reconstruction with multi-view panoramas

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Pixel-wise Deep Image Stitching

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360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation

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Image Reconstruction from Events. Why learn it?

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5th Place Solution for VSPW 2021 Challenge

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Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation

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Hybrid Atlas Building with Deep Registration Priors

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Generate Point Clouds with Multiscale Details from Graph-Represented Structures

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SVIP: Sequence VerIfication for Procedures in Videos

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Real Time Action Recognition from Video Footage

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DGL-GAN: Discriminator Guided Learning for GAN Compression

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Centroid-UNet: Detecting Centroids in Aerial Images

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Makeup216: Logo Recognition with Adversarial Attention Representations

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SphereSR: 360° Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation

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Active learning with MaskAL reduces annotation effort for training Mask R-CNN

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SAC-GAN: Structure-Aware Image-to-Image Composition for Self-Driving

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Learning Semantic-Aligned Feature Representation for Text-based Person Search

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VirtualCube: An Immersive 3D Video Communication System

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Learning Body-Aware 3D Shape Generative Models

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COVID-19 Pneumonia and Influenza Pneumonia Detection Using Convolutional Neural Networks

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Classification of histopathology images using ConvNets to detect Lupus Nephritis

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Event-guided Deblurring of Unknown Exposure Time Videos

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ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses

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EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation

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CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations

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PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset

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On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation

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Co-training Transformer with Videos and Images Improves Action Recognition

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Weakly Supervised High-Fidelity Clothing Model Generation

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A real-time spatiotemporal AI model analyzes skill in open surgical videos

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Federated Learning for Face Recognition with Gradient Correction

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Levels of Autonomous Radiology

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Kernel-aware Raw Burst Blind Super-Resolution

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OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval

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Geometry-Contrastive Transformer for Generalized 3D Pose Transfer

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Handwritten text generation and strikethrough characters augmentation

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I M Avatar: Implicit Morphable Head Avatars from Videos

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Learning to Deblur and Rotate Motion-Blurred Faces

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EgoBody: Human Body Shape, Motion and Social Interactions from Head-Mounted Devices

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AdaViT: Adaptive Tokens for Efficient Vision Transformer

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RA V-Net: Deep learning network for automated liver segmentation

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Revisiting 3D Object Detection From an Egocentric Perspective

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Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images

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A Comparative Analysis of Machine Learning Approaches for Automated Face Mask Detection During COVID-19

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From Noise to Feature: Exploiting Intensity Distribution as a Novel Soft Biometric Trait for Finger Vein Recognition

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Efficient Geometry-aware 3D Generative Adversarial Networks

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A learning-based approach to feature recognition of Engineering shapes

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Self-Ensembling GAN for Cross-Domain Semantic Segmentation

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Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images

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LookinGood^π: Real-time Person-independent Neural Re-rendering for High-quality Human Performance Capture

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Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

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Vision Transformer Based Video Hashing Retrieval for Tracing the Source of Fake Videos

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Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution

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Interpretable Feature Learning Framework for Smoking Behavior Detection

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ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery

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An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network

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Putting People in their Place: Monocular Regression of 3D People in Depth

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SeqFormer: a Frustratingly Simple Model for Video Instance Segmentation

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ForgeryNet -- Face Forgery Analysis Challenge 2021: Methods and Results

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3D Question Answering

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Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications

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Insta-VAX: A Multimodal Benchmark for Anti-Vaccine and Misinformation Posts Detection on Social Media

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Automated segmentation of 3-D body composition on computed tomography

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Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas

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Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation

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FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection

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Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution

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Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning

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Forensic Analysis of Synthetically Generated Scientific Images

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DProST: 6-DoF Object Pose Estimation Using Space Carving and Dynamic Projective Spatial Transformer

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Improved YOLOv5 network for real-time multi-scale traffic sign detection

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Self-supervised Enhancement of Latent Discovery in GANs

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GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation

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Looking Outside the Box to Ground Language in 3D Scenes

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Intelli-Paint: Towards Developing Human-like Painting Agents

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Stable Long-Term Recurrent Video Super-Resolution

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Neural Style Transfer and Unpaired Image-to-Image Translation to deal with the Domain Shift Problem on Spheroid Segmentation

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The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

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Solving Inverse Problems with NerfGANs

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Progressive Graph Convolution Network for EEG Emotion Recognition

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RegionCLIP: Region-based Language-Image Pretraining

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ICON: Implicit Clothed humans Obtained from Normals

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Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition

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Shennong: a Python toolbox for audio speech features extraction

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An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition

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Directed Speech Separation for Automatic Speech Recognition of Long Form Conversational Speech

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Improving Speech Recognition on Noisy Speech via Speech Enhancement with Multi-Discriminators CycleGAN

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Detecting Emotion Carriers by Combining Acoustic and Lexical Representations

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U-shaped Transformer with Frequency-Band Aware Attention for Speech Enhancement

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Perceptual Loss with Recognition Model for Single-Channel Enhancement and Robust ASR

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PM-MMUT: Boosted Phone-mask Data Augmentation using Multi-modeing Unit Training for Robust Uyghur E2E Speech Recognition

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Computational bioacoustics with deep learning: a review and roadmap

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ImportantAug: a data augmentation agent for speech

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Real-Time Neural Voice Camouflage

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Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice

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End-to-end speaker diarization with transformer

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Chimpanzee voice prints? Insights from transfer learning experiments from human voices

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A literature review on COVID-19 disease diagnosis from respiratory sound data

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The exploitation of Multiple Feature Extraction Techniques for Speaker Identification in Emotional States under Disguised Voices

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EmotionBox: a music-element-driven emotional music generation system using Recurrent Neural Network

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Option Pricing with State-dependent Pricing Kernel

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Price Stability of Cryptocurrencies as a Medium of Exchange

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COVID-19 Forecasts via Stock Market Indicators

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U.S. Long-Term Earnings Outcomes by Sex, Race, Ethnicity, and Place of Birth

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Mesoscopic Structure of the Stock Market and Portfolio Optimization

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Cryptocurrency Market Consolidation in 2020--2021

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Optimal Expansion of Business Opportunity

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FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance

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Hedging Cryptocurrency Options

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Urban Housing Prices and Migration's Fertility Intentions: Based on the 2018 China Migrants' Dynamic Survey

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On The Quality Of Cryptocurrency Markets: Centralized Versus Decentralized Exchanges

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Stock prices and Macroeconomic indicators: Investigating a correlation in Indian context

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Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture

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