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?!

Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training

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Adaptive Summaries: A Personalized Concept-based Summarization Approach by Learning from Users' Feedback

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Generalization in portfolio-based algorithm selection

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Hierarchical Planning for Resource Allocation in Emergency Response Systems

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Rethink AI-based Power Grid Control: Diving Into Algorithm Design

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Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge

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REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement

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WEmbSim: A Simple yet Effective Metric for Image Captioning

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SubICap: Towards Subword-informed Image Captioning

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THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment

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ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language

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Antitrust and Artificial Intelligence (AAI): Antitrust Vigilance Lifecycle and AI Legal Reasoning Autonomy

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A Multimodal Framework for the Detection of Hateful Memes

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Goal Reasoning by Selecting Subgoals with Deep Q-Learning

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Warping of Radar Data into Camera Image for Cross-Modal Supervision in Automotive Applications

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All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees

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EmotionGIF-IITP-AINLPML: Ensemble-based Automated Deep Neural System for predicting category(ies) of a GIF response

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The Less Intelligent the Elements, the More Intelligent the Whole. Or, Possibly Not?

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A Survey on Visual Transformer

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Evolving Neural Architecture Using One Shot Model

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Skeleton-based Approaches based on Machine Vision: A Survey

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ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces

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The Last State of Artificial Intelligence in Project Management

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BKT-LSTM: Efficient Student Modeling for knowledge tracing and student performance prediction

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Are We On The Same Page? Hierarchical Explanation Generation for Planning Tasks in Human-Robot Teaming using Reinforcement Learning

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Taking Principles Seriously: A Hybrid Approach to Value Alignment

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Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects

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TorchMD: A deep learning framework for molecular simulations

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Modelling Human Routines: Conceptualising Social Practice Theory for Agent-Based Simulation

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Undivided Attention: Are Intermediate Layers Necessary for BERT?

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myGym: Modular Toolkit for Visuomotor Robotic Tasks

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BERTChem-DDI : Improved Drug-Drug Interaction Prediction from text using Chemical Structure Information

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Conceptual Software Engineering Applied to Movie Scripts and Stories

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Who will accept my request? Predicting response of link initiation in two-way relation networks

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FlowDB a large scale precipitation, river, and flash flood dataset

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Explaining Black-box Models for Biomedical Text Classification

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Unsupervised Cross-Lingual Speech Emotion Recognition Using DomainAdversarial Neural Network

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Medical Entity Linking using Triplet Network

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Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions

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DeepKeyGen: A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption

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Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses

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Forming Human-Robot Cooperation for Tasks with General Goal using Evolutionary Value Learning

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Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation

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HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

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On Modality Bias in the TVQA Dataset

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Can Transformers Reason About Effects of Actions?

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Mention Extraction and Linking for SQL Query Generation

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Predicting seasonal influenza using supermarket retail records

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Ex-Twit: Explainable Twitter Mining on Health Data

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Named Entity Recognition in the Legal Domain using a Pointer Generator Network

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Prediction of brain strain across head impact subtypes using 18 brain injury criteria

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Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning

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Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree

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Searching for Possible Exoplanet Transits from BRITE Data through a Machine Learning Technique

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Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent

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Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing

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Building Energy Consumption Models Based On Smartphone User's Usage Patterns

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Deep learning and high harmonic generation

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When Machine Learning Meets Quantum Computers: A Case Study

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EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders

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ErGAN: Generative Adversarial Networks for Entity Resolution

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Towards Robust Explanations for Deep Neural Networks

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The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems

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Spacecraft Collision Risk Assessment with Probabilistic Programming

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Efficient Training of Robust Decision Trees Against Adversarial Examples

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Reinforcement Learning based Multi-Robot Classification via Scalable Communication Structure

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ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on

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Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays

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A hybrid deep-learning approach for complex biochemical named entity recognition

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Visual Speech Enhancement Without A Real Visual Stream

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Memory Approximate Message Passing

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High-Fidelity Neural Human Motion Transfer from Monocular Video

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Resting-state EEG sex classification using selected brain connectivity representation

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Improving Unsupervised Image Clustering With Robust Learning

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A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser

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Multi-stream Convolutional Neural Network with Frequency Selection for Robust Speaker Verification

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Mobile Robot Planner with Low-cost Cameras Using Deep Reinforcement Learning

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Collaborative residual learners for automatic icd10 prediction using prescribed medications

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FedeRank: User Controlled Feedback with Federated Recommender Systems

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Ensemble model for pre-discharge icd10 coding prediction

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Can we learn where people come from? Retracing of origins in merging situations

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Building LEGO Using Deep Generative Models of Graphs

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Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning

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Deep Learning in Detection and Diagnosis of Covid-19 using Radiology Modalities: A Systematic Review

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Semantic Audio-Visual Navigation

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RAILS: A Robust Adversarial Immune-inspired Learning System

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CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management

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Communication-Aware Collaborative Learning

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Analysis of NARXNN for State of Charge Estimation for Li-ion Batteries on various Drive Cycles

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eTREE: Learning Tree-structured Embeddings

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Reinforcement Learning-based Product Delivery Frequency Control

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LieTransformer: Equivariant self-attention for Lie Groups

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Voting of predictive models for clinical outcomes: consensus of algorithms for the early prediction of sepsis from clinical data and an analysis of the PhysioNet/Computing in Cardiology Challenge 2019

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Fairness, Welfare, and Equity in Personalized Pricing

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On Relating 'Why?' and 'Why Not?' Explanations

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Learn molecular representations from large-scale unlabeled molecules for drug discovery

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Curiosity in exploring chemical space: Intrinsic rewards for deep molecular reinforcement learning

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Flexible, Non-parametric Modeling Using Regularized Neural Networks

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The COVID-19 pandemic: socioeconomic and health disparities

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Design Rule Checking with a CNN Based Feature Extractor

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Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge

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Facebook Ad Engagement in the Russian Active Measures Campaign of 2016

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SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction

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Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer

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Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT

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Deep learning-based virtual refocusing of images using an engineered point-spread function

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A Feasibility study for Deep learning based automated brain tumor segmentation using Magnetic Resonance Images

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g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection

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Noise-Equipped Convolutional Neural Networks

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High-Speed Robot Navigation using Predicted Occupancy Maps

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Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability

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YolactEdge: Real-time Instance Segmentation on the Edge (Jetson AGX Xavier: 30 FPS, RTX 2080 Ti: 170 FPS)

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Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health

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RealFormer: Transformer Likes Residual Attention

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Differentially Private Synthetic Medical Data Generation using Convolutional GANs

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Towards an Automatic System for Extracting Planar Orientations from Software Generated Point Clouds

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Molecular CT: Unifying Geometry and Representation Learning for Molecules at Different Scales

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NetReAct: Interactive Learning for Network Summarization

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Graph Autoencoders with Deconvolutional Networks

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Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals

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Unsupervised Machine learning methods for city vitality index

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C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak

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Group-Aware Robot Navigation in Crowded Environments

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Randomized RX for target detection

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Diabetic Retinopathy Grading System Based on Transfer Learning

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Automated Lay Language Summarization of Biomedical Scientific Reviews

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Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management

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Machine Learning Advances for Time Series Forecasting

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Mixture Model Framework for Traumatic Brain Injury Prognosis Using Heterogeneous Clinical and Outcome Data

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Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery

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Augmenting Policy Learning with Routines Discovered from a Demonstration

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Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI

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Analyzing Representations inside Convolutional Neural Networks

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AutonoML: Towards an Integrated Framework for Autonomous Machine Learning

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Noisy Labels Can Induce Good Representations

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Unveiling Real-Life Effects of Online Photo Sharing

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AttentionDDI: Siamese Attention-based Deep Learning method for drug-drug interaction predictions

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AudioViewer: Learning to Visualize Sound

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I like fish, especially dolphins: Addressing Contradictions in Dialogue Modelling

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Learning by Self-Explanation, with Application to Neural Architecture Search

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Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search

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SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II

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Pain Assessment based on fNIRS using Bidirectional LSTMs

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Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder

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Learning Vehicle Routing Problems using Policy Optimisation

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An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification

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Physics guided machine learning using simplified theories

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Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning

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Machine learning with incomplete datasets using multi-objective optimization models

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A Physics-Informed Deep Learning Paradigm for Car-Following Models

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A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints

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A Survey on Spatial and Spatiotemporal Prediction Methods

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