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?!

My House, My Rules: Learning Tidying Preferences with Graph Neural Networks

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Functional connectivity ensemble method to enhance BCI performance (FUCONE)

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Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales

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Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution

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An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets

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Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation

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Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective

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FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research

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Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN

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Online Learning in Periodic Zero-Sum Games

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FedLess: Secure and Scalable Federated Learning Using Serverless Computing

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PerSpeechNorm: A Persian Toolkit for Speech Processing Normalization

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Monitoring geometrical properties of word embeddings for detecting the emergence of new topics

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Machine Learning Product State Distributions from Initial Reactant States for a Reactive Atom-Diatom Collision System

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Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland

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Sexism Identification in Tweets and Gabs using Deep Neural Networks

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Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction

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Application of Machine Learning to Sleep Stage Classification

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Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models

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Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices

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EpilNet: A Novel Approach to IoT based Epileptic Seizure Prediction and Diagnosis System using Artificial Intelligence

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Neural Network Based Epileptic EEG Detection and Classification

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Automated Human Mind Reading Using EEG Signals for Seizure Detection

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Dataset of Fake News Detection and Fact Verification: A Survey

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Control of a fly-mimicking flyer in complex flow using deep reinforcement learning

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A Variational U-Net for Weather Forecasting

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AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family

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Explanations in Autonomous Driving: A Survey

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Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study

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Leveraging Sentiment Analysis Knowledge to Solve Emotion Detection Tasks

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CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms

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Kernel Methods for Multistage Causal Inference: Mediation Analysis and Dynamic Treatment Effects

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Developing neural machine translation models for Hungarian-English

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Structure-aware generation of drug-like molecules

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NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework

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Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments

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AI challenges for predicting the impact of mutations on protein stability

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The Invisible COVID-19 Crisis: Post-Traumatic Stress Disorder Risk Among Frontline Physicians Treating COVID-19 Patients

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Addressing Privacy Threats from Machine Learning

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AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical Models

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Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models

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Oracle Teacher: Towards Better Knowledge Distillation

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Feature-Level Fusion of Super-App and Telecommunication Alternative Data Sources for Credit Card Fraud Detection

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Frugal Machine Learning

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Deep Learning Based Model for Breast Cancer Subtype Classification

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CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals

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Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors

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A Review of Location Encoding for GeoAI: Methods and Applications

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Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines

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CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-efficient Sensitivity-prioritized Time Series Classifier

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A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement

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Assessing learned features of Deep Learning applied to EEG

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A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification

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Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems

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Accelerating GAN training using highly parallel hardware on public cloud

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Efficiently Learning Any One Hidden Layer ReLU Network From Queries

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Classifying DNS Servers based on Response Message Matrix using Machine Learning

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Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact

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Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?

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Stress field prediction in fiber-reinforced composite materials using a deep learning approach

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Generalization in quantum machine learning from few training data

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Realizable Learning is All You Need

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Explaining Hyperparameter Optimization via Partial Dependence Plots

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Model-assisted deep learning of rare extreme events from partial observations

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On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods

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Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives

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Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers

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Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting

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Prediction of new outlinks for focused Web crawling

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A Statistical Difference Reduction Method for Escaping Backdoor Detection

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A Survey on Green Deep Learning

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Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information

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MLHarness: A Scalable Benchmarking System for MLCommons

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The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning

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Identifying the Risks of Chronic Diseases Using BMI Trajectories

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Dealing with the Unknown: Pessimistic Offline Reinforcement Learning

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ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees

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Biomarker Gene Identification for Breast Cancer Classification

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Automatically detecting data drift in machine learning classifiers

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STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions

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HARPO: Learning to Subvert Online Behavioral Advertising

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Gradients are Not All You Need

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Towards Green Automated Machine Learning: Status Quo and Future Directions

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Exponential separations between learning with and without quantum memory

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A study on Channel Popularity in Twitch

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Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities

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Identification of Fine-Grained Location Mentions in Crisis Tweets

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Quantum Model-Discovery

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Super-resolving Dark Matter Halos using Generative Deep Learning

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Kalman Filtering with Adversarial Corruptions

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Persia: A Hybrid System Scaling Deep Learning Based Recommenders up to 100 Trillion Parameters

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How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning

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Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series

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Improvements to short-term weather prediction with recurrent-convolutional networks

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Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends

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Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic

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An overview of event extraction and its applications

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Dialogue Inspectional Summarization with Factual Inconsistency Awareness

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Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning

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Epidemic inference through generative neural networks

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SocialVec: Social Entity Embeddings

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Dynamic Human-Robot Role Allocation based on Human Ergonomics Risk Prediction and Robot Actions Adaptation

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Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions

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AI and Blackness: Towards moving beyond bias and representation

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d3rlpy: An Offline Deep Reinforcement Learning Library

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Robust Deep Reinforcement Learning for Quadcopter Control

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Transformer Based Bengali Chatbot Using General Knowledge Dataset

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Profitable Trade-Off Between Memory and Performance In Multi-Domain Chatbot Architectures

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Open-Set Crowdsourcing using Multiple-Source Transfer Learning

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Automated Detection of GDPR Disclosure Requirements in Privacy Policies using Deep Active Learning

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JaMIE: A Pipeline Japanese Medical Information Extraction System

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Batch Reinforcement Learning from Crowds

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A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning

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The Problem of Zombie Datasets:A Framework For Deprecating Datasets

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Systematic Review for AI-based Language Learning Tools

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Flight Demand Forecasting with Transformers

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DeSkew-LSH based Code-to-Code Recommendation Engine

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Identifying the Leading Factors of Significant Weight Gains Using a New Rule Discovery Method

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Multi-Airport Delay Prediction with Transformers

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Improving RNA Secondary Structure Design using Deep Reinforcement Learning

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Revisiting Methods for Finding Influential Examples

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Development of collective behavior in newborn artificial agents

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Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling

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Deep Learning Approach for Aggressive Driving Behaviour Detection

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User Centered Design (VI): Human Factors Approaches for Intelligent Human-Computer Interaction

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Building an AI-ready RSE Workforce

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FPM: A Collection of Large-scale Foundation Pre-trained Language Models

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DSBERT:Unsupervised Dialogue Structure learning with BERT

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How to Train Your Neural Network: A Comparative Evaluation

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Dynamic Parameterized Network for CTR Prediction

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Neural News Recommendation with Event Extraction

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"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector

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Reason first, then respond: Modular Generation for Knowledge-infused Dialogue

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Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems

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Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers

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Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy space in Autonomous Driving

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Attention Approximates Sparse Distributed Memory

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Lightweight machine unlearning in neural network

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Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities

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Social Fraud Detection Review: Methods, Challenges and Analysis

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Data-Driven and SE-assisted AI Model Signal-Awareness Enhancement and Introspection

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LUMINOUS: Indoor Scene Generation for Embodied AI Challenges

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Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention

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BagBERT: BERT-based bagging-stacking for multi-topic classification

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Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning

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PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems

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Detecting Fake Points of Interest from Location Data

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CubeTR: Learning to Solve The Rubiks Cube Using Transformers

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Edge-Cloud Polarization and Collaboration: A Comprehensive Survey

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Explainable Sentence-Level Sentiment Analysis for Amazon Product Reviews

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A Chinese Multi-type Complex Questions Answering Dataset over Wikidata

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Learning via Long Short-Term Memory (LSTM) network for predicting strains in Railway Bridge members under train induced vibration

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AlphaDDA: game artificial intelligence with dynamic difficulty adjustment using AlphaZero

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Learning from Mistakes -- A Framework for Neural Architecture Search

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Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation

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Recent Advances in Automated Question Answering In Biomedical Domain

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Agent Spaces

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Answer Set Programming Made Easy

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GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks

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PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning

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Pathological Analysis of Blood Cells Using Deep Learning Techniques

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Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution

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Segmentation of 2D Brain MR Images

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ProSTformer: Pre-trained Progressive Space-Time Self-attention Model for Traffic Flow Forecasting

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Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer

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Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image

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Skeleton-Split Framework using Spatial Temporal Graph Convolutional Networks for Action Recogntion

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StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis

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EditGAN: High-Precision Semantic Image Editing

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Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval

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Seamless Satellite-image Synthesis

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Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images

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Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation

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DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder

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Spatial-Temporal Residual Aggregation for High Resolution Video Inpainting

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Edge Tracing using Gaussian Process Regression

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BBC-Oxford British Sign Language Dataset

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TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering

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Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution

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The Curious Layperson: Fine-Grained Image Recognition without Expert Labels

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First steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain

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Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention

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V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects

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NarrationBot and InfoBot: A Hybrid System for Automated Video Description

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Information Extraction from Visually Rich Documents with Font Style Embeddings

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DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories

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S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process

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OMD: Orthogonal Malware Detection Using Audio, Image, and Static Features

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SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

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Disaster mapping from satellites: damage detection with crowdsourced point labels

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Generation of microbial colonies dataset with deep learning style transfer

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Will You Ever Become Popular? Learning to Predict Virality of Dance Clips

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Neural Implicit Event Generator for Motion Tracking

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What augmentations are sensitive to hyper-parameters and why?

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Action Recognition using Transfer Learning and Majority Voting for CSGO

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Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

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Convolutional Gated MLP: Combining Convolutions & gMLP

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A-PixelHop: A Green, Robust and Explainable Fake-Image Detector

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Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition

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SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning

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Style Transfer with Target Feature Palette and Attention Coloring

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Direct Multi-view Multi-person 3D Pose Estimation

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Rethinking Deconvolution for 2D Human Pose Estimation Light yet Accurate Model for Real-time Edge Computing

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Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization

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A Study of the Human Perception of Synthetic Faces

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Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images

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Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis

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3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds

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Tensor-based Subspace Factorization for StyleGAN

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Mixed Transformer U-Net For Medical Image Segmentation

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DR-VNet: Retinal Vessel Segmentation via Dense Residual UNet

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Lymph Node Detection in T2 MRI with Transformers

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GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention

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EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction

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Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time

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Survey of Deep Learning Methods for Inverse Problems

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Evolving Evocative 2D Views of Generated 3D Objects

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Hybrid BYOL-ViT: Efficient approach to deal with small Datasets

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Deep Convolution Network Based Emotion Analysis for Automatic Detection of Mild Cognitive Impairment in the Elderly

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Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets

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Early Myocardial Infarction Detection over Multi-view Echocardiography

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PIMIP: An Open Source Platform for Pathology Information Management and Integration

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Advances in Neural Rendering

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Pipeline for 3D reconstruction of the human body from AR/VR headset mounted egocentric cameras

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Are Transformers More Robust Than CNNs?

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Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network

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Space-Time Memory Network for Sounding Object Localization in Videos

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ICDAR 2021 Competition on Document VisualQuestion Answering

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CLIP2TV: An Empirical Study on Transformer-based Methods for Video-Text Retrieval

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Leveraging Geometry for Shape Estimation from a Single RGB Image

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Learning to ignore: rethinking attention in CNNs

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Palette: Image-to-Image Diffusion Models

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Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks

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Trustworthy Medical Segmentation with Uncertainty Estimation

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CodEx: A Modular Framework for Joint Temporal De-blurring and Tomographic Reconstruction

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A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network

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Detecting COVID-19 from Chest Computed Tomography Scans using AI-Driven Android Application

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Towards Live Video Analytics with On-Drone Deeper-yet-Compatible Compression

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Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis

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Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and Sparse-UNet

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csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps

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Indian Licence Plate Dataset in the wild

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A Survey of Visual Transformers

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Fine-Grained Image Analysis with Deep Learning: A Survey

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Clicking Matters:Towards Interactive Human Parsing

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Automatically identifying a mobile phone user's position within a vehicle

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Masked Autoencoders Are Scalable Vision Learners

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The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos

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Context-Aware Transformer Transducer for Speech Recognition

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Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition

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Inter-channel Conv-TasNet for multichannel speech enhancement

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RawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofing

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SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and Machines

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Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech

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Theme Transformer: Symbolic Music Generation with Theme-Conditioned Transformer

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Emotional Prosody Control for Speech Generation

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Joint AEC AND Beamforming with Double-Talk Detection using RNN-Transformer

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RAVE: A variational autoencoder for fast and high-quality neural audio synthesis

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Membership Inference Attacks Against Self-supervised Speech Models

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Speaker Generation

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CAESynth: Real-Time Timbre Interpolation and Pitch Control with Conditional Autoencoders

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HASA-net: A non-intrusive hearing-aid speech assessment network

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Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation

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A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels

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Music Score Expansion with Variable-Length Infilling

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Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport

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Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT Based on the Quran Reciters Dataset

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Data-driven Hedging of Stock Index Options via Deep Learning

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Cyber Risk Frequency, Severity and Insurance Viability

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Predicting Mortality from Credit Reports

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Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach

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On the Limits of Design: What Are the Conceptual Constraints on Designing Artificial Intelligence for Social Good?

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Stock Portfolio Optimization Using a Deep Learning LSTM Model

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American Hate Crime Trends Prediction with Event Extraction

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FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance

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The Supply of Motivated Beliefs

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It's not always about the money, sometimes it's about sending a message: Evidence of Informational Content in Monetary Policy Announcements

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@threadreaderapp unroll