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?!

Limitations of Deep Neural Networks: a discussion of G. Marcus' critical appraisal of deep learning

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A Review into Data Science and Its Approaches in Mechanical Engineering

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Modeling Social Interaction for Baby in Simulated Environment for Developmental Robotics

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Improving Learning Experience in MOOCs with Educational Content Linking

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Am I Rare? An Intelligent Summarization Approach for Identifying Hidden Anomalies

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Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic

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Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences

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Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?

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Investigating Memorability of Dynamic Media

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CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds

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Leveraging Audio Gestalt to Predict Media Memorability

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Deep Graph Generators: A Survey

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xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links

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Multiple Plans are Better than One: Diverse Stochastic Planning

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Continual Learning in Task-Oriented Dialogue Systems

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Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization

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Text-Free Image-to-Speech Synthesis Using Learned Segmental Units

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Robotic Grasping of Fully-Occluded Objects using RF Perception

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Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation

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3D Human motion anticipation and classification

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Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem

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Robustness Testing of Language Understanding in Dialog Systems

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A Maximal Correlation Approach to Imposing Fairness in Machine Learning

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Learning to Optimize Energy Efficiency in Energy Harvesting Wireless Sensor Networks

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SemGloVe: Semantic Co-occurrences for GloVe from BERT

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Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?

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Accurate Word Representations with Universal Visual Guidance

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LISPR: An Options Framework for Policy Reuse with Reinforcement Learning

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Object sorting using faster R-CNN

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Dialogue Graph Modeling for Conversational Machine Reading

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Faster Re-translation Using Non-Autoregressive Model For Simultaneous Neural Machine Translation

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RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems

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Multi-Principal Assistance Games: Definition and Collegial Mechanisms

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Disentangled Planning and Control in Vision Based Robotics via Reward Machines

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Effective Email Spam Detection System using Extreme Gradient Boosting

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Commonsense Visual Sensemaking for Autonomous Driving: On Generalised Neurosymbolic Online Abduction Integrating Vision and Semantics

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A Classification Engine for Image Ballistics of Social Data

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Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G Enabled Cooperative Autonomous Driving

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Technical Report: Flushing Strategies in Drinking Water Systems

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Brain-inspired Search Engine Assistant based on Knowledge Graph

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Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques

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Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking

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Neural Text Generation with Artificial Negative Examples

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Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning

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Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset

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Neural document expansion for ad-hoc information retrieval

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MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining

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My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism

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Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device

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Social media data reveals signal for public consumer perceptions

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PaXNet: Dental Caries Detection in Panoramic X-ray using Ensemble Transfer Learning and Capsule Classifier

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Graph Convolutional Networks for traffic anomaly

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A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning

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LOREN: Logic Enhanced Neural Reasoning for Fact Verification

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Robustness, Privacy, and Generalization of Adversarial Training

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Towards a Universal Continuous Knowledge Base

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Toward Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework

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Towards Continual Reinforcement Learning: A Review and Perspectives

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Whom to Test? Active Sampling Strategies for Managing COVID-19

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Mixed-Privacy Forgetting in Deep Networks

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EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs

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Fairness in Machine Learning

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Coded Machine Unlearning

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Robust Data-Driven Error Compensation for a Battery Model

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I/O Lower Bounds for Auto-tuning of Convolutions in CNNs

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Searching a Raw Video Database using Natural Language Queries

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Automatic Historical Feature Generation through Tree-based Method in Ads Prediction

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DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data

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Algorithms for Learning Graphs in Financial Markets

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Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective

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Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System

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Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training

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Ensembles of Localised Models for Time Series Forecasting

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Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder

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DeepSphere: a graph-based spherical CNN

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DeepSphere: a graph-based spherical CNN

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Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps

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With False Friends Like These, Who Can Have Self-Knowledge?

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Reinforcement Learning for Control of Valves

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AILearn: An Adaptive Incremental Learning Model for Spoof Fingerprint Detection

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TensorX: Extensible API for Neural Network Model Design and Deployment

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Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study

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Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection

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Poisoning Attacks on Cyber Attack Detectors for Industrial Control Systems

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Multi-Channel Sequential Behavior Networks for User Modeling in Online Advertising

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Making Pre-trained Language Models Better Few-shot Learners

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Towards Zero-Shot Knowledge Distillation for Natural Language Processing

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Autonomous Maintenance in IoT Networks via AoI-driven Deep Reinforcement Learning

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SharpGAN: Receptive Field Block Net for Dynamic Scene Deblurring

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Curriculum-based Deep Reinforcement Learning for Quantum Control

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An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain

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New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis

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Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions

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Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing

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Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data

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MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures

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Similarity Classification of Public Transit Stations

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Simplifying Impact Prediction for Scientific Articles

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Multi-view Temporal Alignment for Non-parallel Articulatory-to-Acoustic Speech Synthesis

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Synthetic Source Language Augmentation for Colloquial Neural Machine Translation

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Stack-based Buffer Overflow Detection using Recurrent Neural Networks

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Few-Shot Named Entity Recognition: A Comprehensive Study

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Image-to-Image Retrieval by Learning Similarity between Scene Graphs

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COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography

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ROAD: The Real ORNL Automotive Dynamometer Controller Area Network Intrusion Detection Dataset (with a comprehensive CAN IDS dataset survey & guide)

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Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks

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YASO: A New Benchmark for Targeted Sentiment Analysis

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SASSI -- Super-Pixelated Adaptive Spatio-Spectral Imaging

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Phishing Detection through Email Embeddings

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Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS

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Predicting Organizational Cybersecurity Risk: A Deep Learning Approach

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dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python

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Data augmentation and image understanding

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Explainable Multi-class Classification of Medical Data

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Ranking and Rejecting of Pre-Trained Deep Neural Networks in Transfer Learning based on Separation Index

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Robust Collaborative Learning with Noisy Labels

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Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds

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Adaptively Solving the Local-Minimum Problem for Deep Neural Networks

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Detecting the patient's need for help with machine learning

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On self-supervised multi-modal representation learning: An application to Alzheimer's disease

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A Graph Convolutional Network with Signal Phasing Information for Arterial Traffic Prediction

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Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning

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Modeling Disease Progression in Mild Cognitive Impairment and Alzheimer's Disease with Digital Twins

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DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language

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Affirmative Algorithms: The Legal Grounds for Fairness as Awareness

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Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units

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Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications

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Generalized Categorisation of Digital Pathology Whole Image Slides using Unsupervised Learning

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Improving Opinion Spam Detection by Cumulative Relative Frequency Distribution

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Universal Approximation Theorem for Equivariant Maps by Group CNNs

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Deep reinforcement learning for portfolio management

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Few Shot Learning With No Labels

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Translating Natural Language Instructions to Computer Programs for Robot Manipulation

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Spatial Reasoning from Natural Language Instructions for Robot Manipulation

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Improving the Generalization of End-to-End Driving through Procedural Generation

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Teaching Robots Novel Objects by Pointing at Them

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COVIDX: Computer-aided diagnosis of Covid-19 and its severity prediction with raw digital chest X-ray images

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Early Indicators of Scientific Impact: Predicting Citations with Altmetrics

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Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays

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Using the Naive Bayes as a discriminative classifier

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A Cascaded Residual UNET for Fully Automated Segmentation of Prostate and Peripheral Zone in T2-weighted 3D Fast Spin Echo Images

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Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning

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Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees

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3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators

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An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification

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Detecting Hateful Memes Using a Multimodal Deep Ensemble

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Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients

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

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Unsupervised neural adaptation model based on optimal transport for spoken language identification

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Memory-Gated Recurrent Networks

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

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Learning from Crowds by Modeling Common Confusions

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Assured RL: Reinforcement Learning with Almost Sure Constraints

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Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties

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AudioViewer: Learning to Visualize Sound

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On Statistical Efficiency in Learning

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Seed Phenotyping on Neural Networks using Domain Randomization and Transfer Learning

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Unveiling Real-Life Effects of Online Photo Sharing

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Disentangling semantics in language through VAEs and a certain architectural choice

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Efficient Continual Learning with Modular Networks and Task-Driven Priors

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Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare

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IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks

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Analyzing Representations inside Convolutional Neural Networks

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

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