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?!

SPLICE: A Synthetic Paid Loss and Incurred Cost Experience Simulator

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Deep Reinforcement Learning for Equal Risk Pricing and Hedging under Dynamic Expectile Risk Measures

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Security Investment Risk Analysis Using Coefficient of Variation: An Alternative to Mean-Variance Analysis

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Optimizing timetable and network reopen plans for public transportation networks during a COVID19-like pandemic

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Matrix Completion of World Trade

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A Tale of Two (and More) Altruists

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Examining the Dynamic Asset Market Linkages under the COVID-19 Global Pandemic

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Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access

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Identifying the Main Factors of Iran's Economic Growth using Growth Accounting Framework

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Net Buying Pressure and the Information in Bitcoin Option Trades

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Reaping the Rewards Later: How Education Improves Old-Age Cognition in South Africa

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Model-free Portfolio Theory: A Rough Path Approach

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What drives bitcoin? An approach from continuous local transfer entropy and deep learning classification models

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Accelerating the Adoption of Disruptive Technologies: The Impact of COVID-19 on Intention to Use Self-Driving Vehicles

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DeepEMO: Deep Learning for Speech Emotion Recognition

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Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring

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The IDLAB VoxCeleb Speaker Recognition Challenge 2021 System Description

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Multilingual Speech Recognition for Low-Resource Indian Languages using Multi-Task conformer

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Beijing ZKJ-NPU Speaker Verification System for VoxCeleb Speaker Recognition Challenge 2021

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Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion

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A Review of Sound Source Localization with Deep Learning Methods

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Referee: Towards reference-free cross-speaker style transfer with low-quality data for expressive speech synthesis

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Fruit-CoV: An Efficient Vision-based Framework for Speedy Detection and Diagnosis of SARS-CoV-2 Infections Through Recorded Cough Sounds

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FastAudio: A Learnable Audio Front-End for Spoof Speech Detection

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Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds

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Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes

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The DKU-DukeECE System for the Self-Supervision Speaker Verification Task of the 2021 VoxCeleb Speaker Recognition Challenge

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Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks

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The Phonexia VoxCeleb Speaker Recognition Challenge 2021 System Description

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The ByteDance Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2021

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A Two-stage Complex Network using Cycle-consistent Generative Adversarial Networks for Speech Enhancement

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The SpeakIn System for VoxCeleb Speaker Recognition Challange 2021

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Network Modulation Synthesis: New Algorithms for Generating Musical Audio Using Autoencoder Networks

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XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021

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The DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge

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Phone Duration Modeling for Speaker Age Estimation in Children

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Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development

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Efficient conformer: Progressive downsampling and grouped attention for automatic speech recognition

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NEAT: Neural Attention Fields for End-to-End Autonomous Driving

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ConvMLP: Hierarchical Convolutional MLPs for Vision

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Talk-to-Edit: Fine-Grained Facial Editing via Dialog

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TxT: Crossmodal End-to-End Learning with Transformers

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Reconstructing and grounding narrated instructional videos in 3D

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UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer

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M5Product: A Multi-modal Pretraining Benchmark for E-commercial Product Downstream Tasks

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Single Image 3D Object Estimation with Primitive Graph Networks

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Tiny CNN for feature point description for document analysis: approach and dataset

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Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization

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Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours

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Improving Building Segmentation for Off-Nadir Satellite Imagery

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Automated LoD-2 Model Reconstruction from Very-HighResolution Satellite-derived Digital Surface Model and Orthophoto

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Energy Attack: On Transferring Adversarial Examples

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IMG2SMI: Translating Molecular Structure Images to Simplified Molecular-input Line-entry System

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Towards Fully Automated Segmentation of Rat Cardiac MRI by Leveraging Deep Learning Frameworks

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Multilingual Audio-Visual Smartphone Dataset And Evaluation

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Scaled ReLU Matters for Training Vision Transformers

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Learning Local-Global Contextual Adaptation for Fully End-to-End Bottom-Up Human Pose Estimation

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Identification of Social-Media Platform of Videos through the Use of Shared Features

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FaceCook: Face Generation Based on Linear Scaling Factors

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Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection

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RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management

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Simple Video Generation using Neural ODEs

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Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning

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Toward Real-World Super-Resolution via Adaptive Downsampling Models

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Real-World Adversarial Examples involving Makeup Application

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Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos

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PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System

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FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting

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Unpaired Adversarial Learning for Single Image Deraining with Rain-Space Contrastive Constraints

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CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction

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Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene

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DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning

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Journalistic Guidelines Aware News Image Captioning

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Deep Collaborative Multi-Modal Learning for Unsupervised Kinship Estimation

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STRIVE: Scene Text Replacement In Videos

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Zero-Shot Open Set Detection by Extending CLIP

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WhyAct: Identifying Action Reasons in Lifestyle Vlogs

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Single-Camera 3D Head Fitting for Mixed Reality Clinical Applications

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Improving Dietary Assessment Via Integrated Hierarchy Food Classification

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Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images

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Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms

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Perceptual Learned Video Compression with Recurrent Conditional GAN

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FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation

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Deep SIMBAD: Active Landmark-based Self-localization Using Ranking -based Scene Descriptor

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Analysis of MRI Biomarkers for Brain Cancer Survival Prediction

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Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond

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Crash Report Data Analysis for Creating Scenario-Wise, Spatio-Temporal Attention Guidance to Support Computer Vision-based Perception of Fatal Crash Risks

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The Animation Transformer: Visual Correspondence via Segment Matching

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Image In painting Applied to Art Completing Escher's Print Gallery

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Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection

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Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification

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Point-Based Neural Rendering with Per-View Optimization

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Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation

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Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images

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Does Melania Trump have a body double from the perspective of automatic face recognition?

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Learning to Generate Scene Graph from Natural Language Supervision

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GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph

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Learning Fine-Grained Motion Embedding for Landscape Animation

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Robust Attentive Deep Neural Network for Exposing GAN-generated Faces

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Underwater 3D Reconstruction Using Light Fields

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Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis

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Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution

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ISyNet: Convolutional Neural Networks design for AI accelerator

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Fast Image-Anomaly Mitigation for Autonomous Mobile Robots

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RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions

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A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive Fusion

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PR-Net: Preference Reasoning for Personalized Video Highlight Detection

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Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study

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Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost

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Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays

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Recognition of COVID-19 Disease Utilizing X-Ray Imaging of the Chest Using CNN

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Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition

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Navigational Path-Planning For All-Terrain Autonomous Agricultural Robot

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A Privacy-Preserving Image Retrieval Scheme Using A Codebook Generated From Independent Plain-Image Dataset

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Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark

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Wildfire smoke plume segmentation using geostationary satellite imagery

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Super Neurons

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Neural Human Deformation Transfer

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3D Human Shape Style Transfer

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Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving

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Deep Learning for Fitness

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MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis

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Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition

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DeepTracks: Geopositioning Maritime Vehicles in Video Acquired from a Moving Platform

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roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs

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Optimal Target Shape for LiDAR Pose Estimation

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MitoDet: Simple and robust mitosis detection

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Automatic Foot Ulcer segmentation Using an Ensemble of Convolutional Neural Networks

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Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions

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From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein's Theory of Explanation

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User Tampering in Reinforcement Learning Recommender Systems

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OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings

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Attributing Fair Decisions with Attention Interventions

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EvilModel 2.0: Hiding Malware Inside of Neural Network Models

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Learning Opinion Summarizers by Selecting Informative Reviews

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DAN: Decentralized Attention-based Neural Network to Solve the MinMax Multiple Traveling Salesman Problem

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Fusing task-oriented and open-domain dialogues in conversational agents

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A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation

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Trust-ya: design of a multiplayer game for the study of small group processes

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Automated Security Assessment for the Internet of Things

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On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)

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PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems

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What's Hidden in a One-layer Randomly Weighted Transformer?

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Label Efficient Visual Abstractions for Autonomous Driving

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Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms

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Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization

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Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects

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Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation

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BotSpot: Deep Learning Classification of Bot Accounts within Twitter

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A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions

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ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections

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It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset

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DeepZensols: Deep Natural Language Processing Framework

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Malware Squid: A Novel IoT Malware Traffic Analysis Framework using Convolutional Neural Network and Binary Visualisation

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CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems

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ExCode-Mixed: Explainable Approaches towards Sentiment Analysis on Code-Mixed Data using BERT models

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The pyglaf argumentation reasoner (ICCMA2021)

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Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety

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Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education

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Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression

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OdoNet: Untethered Speed Aiding for Vehicle Navigation Without Hardware Wheeled Odometer

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POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling

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Generate & Rank: A Multi-task Framework for Math Word Problems

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Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge

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IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages

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Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots

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A Scalable AI Approach for Clinical Trial Cohort Optimization

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ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles

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Method for making multi-attribute decisions in wargames by combining intuitionistic fuzzy numbers with reinforcement learning

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Fairness via AI: Bias Reduction in Medical Information

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A review of Quantum Neural Networks: Methods, Models, Dilemma

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Will bots take over the supply chain? Revisiting Agent-based supply chain automation

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Insider Detection using Deep Autoencoder and Variational Autoencoder Neural Networks

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GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain

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Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT

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Proto: A Neural Cocktail for Generating Appealing Conversations

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Top-N Recommendation with Counterfactual User Preference Simulation

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Parkinson's Disease Diagnosis based on Gait Cycle Analysis Through an Interpretable Interval Type-2 Neuro-Fuzzy System

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Detection of Insider Threats using Artificial Intelligence and Visualisation

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Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the Oven

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Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser

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BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks

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Learning-Based Strategy Design for Robot-Assisted Reminiscence Therapy Based on a Developed Model for People with Dementia

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FBCNN: A Deep Neural Network Architecture for Portable and Fast Brain-Computer Interfaces

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FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models

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Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach

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Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms

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Artificial Intelligence in Dry Eye Disease

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A brief history of AI: how to prevent another winter (a critical review)

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An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment

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Ontology-driven Knowledge Graph for Android Malware

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Is Machine Learning Ready for Traffic Engineering Optimization?

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Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms

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An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining

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Topographic VAEs learn Equivariant Capsules

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So Cloze yet so Far: N400 Amplitude is Better Predicted by Distributional Information than Human Predictability Judgements

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Cross DQN: Cross Deep Q Network for Ads Allocation in Feed

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Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation

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Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning

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Protein Folding Neural Networks Are Not Robust

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Multi-granularity Textual Adversarial Attack with Behavior Cloning

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Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies

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MutualGraphNet: A novel model for motor imagery classification

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Social Media Monitoring for IoT Cyber-Threats

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Quantum Machine Learning for Finance

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MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art

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Detecting Attacks on IoT Devices using Featureless 1D-CNN

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NU:BRIEF -- A Privacy-aware Newsletter Personalization Engine for Publishers

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Knowledge mining of unstructured information: application to cyber-domain

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Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction

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A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data

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Diagnostics-Guided Explanation Generation

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DeepAltTrip: Top-k Alternative Itineraries for Trip Recommendation

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A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago

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Forget me not: A Gentle Reminder to Mind the Simple Multi-Layer Perceptron Baseline for Text Classification

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Training Algorithm Matters for the Performance of Neural Network Potential

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Entangled Datasets for Quantum Machine Learning

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Forward and Inverse models in HCI:Physical simulation and deep learning for inferring 3D finger pose

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DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode

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Revisiting Recursive Least Squares for Training Deep Neural Networks

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Learning to Bid in Contextual First Price Auctions

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Early ICU Mortality Prediction and Survival Analysis for Respiratory Failure

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BERT based classification system for detecting rumours on Twitter

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Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation

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PEEK: A Large Dataset of Learner Engagement with Educational Videos

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Countering Online Hate Speech: An NLP Perspective

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BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables

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ArGoT: A Glossary of Terms extracted from the arXiv

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An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving

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Generation of Synthetic Electronic Health Records Using a Federated GAN

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Going Beyond Neural Architecture Search with Sampling-based Neural Ensemble Search

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Severity and Mortality Prediction Models to Triage Indian COVID-19 Patients

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Gradient Normalization for Generative Adversarial Networks

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VARGAN: Variance Enforcing Network Enhanced GAN

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Assessing the Knowledge State of Online Students -- New Data, New Approaches, Improved Accuracy

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Recommendation System Simulations: A Discussion of Two Key Challenges

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An Enhanced Machine Learning Topic Classification Methodology for Cybersecurity

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A Critical Review of the state-of-the-art on Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes

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A Transformer-based Model to Detect Phishing URLs

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Providing an Approach to Predicting Customer Quality in E-Commerce Social Networks Based on Big Data and Unsupervised Learning Method

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Uncovering the Limits of Text-based Emotion Detection

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Hierarchical 3D Feature Learning for Pancreas Segmentation

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Data science and Machine learning in the Clouds: A Perspective for the Future

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LightAutoML: AutoML Solution for a Large Financial Services Ecosystem

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Biomedical Data-to-Text Generation via Fine-Tuning Transformers

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Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry

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LightAutoML: AutoML Solution for a Large Financial Services Ecosystem

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Biomedical Data-to-Text Generation via Fine-Tuning Transformers

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How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data

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Estimating Demand Flexibility Using Siamese LSTM Neural Networks

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A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples

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