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?!

Leveraged ETF Investing

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Statistical Arbitrage Risk Premium by Machine Learning

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A Survey of Forex and Stock Price Prediction Using Deep Learning

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Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating

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Predicting the Behavior of Dealers in Over-The-Counter Corporate Bond Markets

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Understanding Smart Contracts: Hype or Hope?

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Territorial differences in the spread of COVID-19 in European regions and US counties

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What are the key components of an entrepreneurial ecosystem in a developing economy? A longitudinal empirical study on technology business incubators in China

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Modern risks of small businesses

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ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction

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DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer

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Human-AI Symbiosis: A Survey of Current Approaches

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Situated Language Learning via Interactive Narratives

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Transformer-based ASR Incorporating Time-reduction Layer and Fine-tuning with Self-Knowledge Distillation

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Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning

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All NLP Tasks Are Generation Tasks: A General Pretraining Framework

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The Case for High-Accuracy Classification: Think Small, Think Many!

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Domain Generalization using Ensemble Learning

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Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledge

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Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case

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Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese

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CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays

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Machine Vision based Sample-Tube Localization for Mars Sample Return

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The Untapped Potential of Off-the-Shelf Convolutional Neural Networks

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Evaluation of soccer team defense based on prediction models of ball recovery and being attacked

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A Practical Guide to Multi-Objective Reinforcement Learning and Planning

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Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data

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Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study

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Training GANs with Stronger Augmentations via Contrastive Discriminator

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Few-Shot Visual Grounding for Natural Human-Robot Interaction

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Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss

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Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer

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Set-to-Sequence Methods in Machine Learning: a Review

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Code Word Detection in Fraud Investigations using a Deep-Learning Approach

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Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots

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STYLER: Style Modeling with Rapidity and Robustness via SpeechDecomposition for Expressive and Controllable Neural Text to Speech

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Pros and Cons of GAN Evaluation Measures: New Developments

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Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers

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Digital Peter: Dataset, Competition and Handwriting Recognition Methods

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Bio-inspired Robustness: A Review

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Modeling and forecasting Spread of COVID-19 epidemic in Iran until Sep 22, 2021, based on deep learning

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Evaluation of a Bi-Directional Methodology for Automated Assessment of Compliance to Continuous Application of Clinical Guidelines, in the Type 2 Diabetes-Management Domain

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KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph

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Automatic Intent-Slot Induction for Dialogue Systems

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Category Aware Explainable Conversational Recommendation

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Sparse Curriculum Reinforcement Learning for End-to-End Driving

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A Multilingual African Embedding for FAQ Chatbots

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LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation

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Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition

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Exploring the Assessment List for Trustworthy AI in the Context of Advanced Driver-Assistance Systems

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TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation

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Learning without gradient descent encoded by the dynamics of a neurobiological model

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Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling

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EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry

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Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer

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dictNN: A Dictionary-Enhanced CNN Approach for Classifying Hate Speech on Twitter

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Autonomous Drone Racing with Deep Reinforcement Learning

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Whole brain Probabilistic Generative Model toward Realizing Cognitive Architecture for Developmental Robots

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Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction

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Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions

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Dynamically Switching Human Prediction Models for Efficient Planning

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Automated Fact-Checking for Assisting Human Fact-Checkers

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Large-scale Recommendation for Portfolio Optimization

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TensorGP -- Genetic Programming Engine in TensorFlow

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FES: A Fast Efficient Scalable QoS Prediction Framework

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BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification

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Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System

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Gradient Policy on "CartPole" game and its' expansibility to F1Tenth Autonomous Vehicles

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Probabilistic Grammatical Evolution

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Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems

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ReinforceBug: A Framework to Generate Adversarial Textual Examples

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Boosting ship detection in SAR images with complementary pretraining techniques

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Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs

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Geometric Change Detection in Digital Twins using 3D Machine Learning

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Hybrid stacked ensemble combined with genetic algorithms for Prediction of Diabetes

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Deep Neural Network Based Ensemble learning Algorithms for the healthcare system (diagnosis of chronic diseases)

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Feature selection for medical diagnosis: Evaluation for using a hybrid Stacked-Genetic approach in the diagnosis of heart disease

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Claim Verification using a Multi-GAN based Model

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Monte Carlo Scene Search for 3D Scene Understanding

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Software Architecture for ML-based Systems: What Exists and What Lies Ahead

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Learning One Representation to Optimize All Rewards

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Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting

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Recommending Short-lived Dynamic Packages for Golf Booking Services

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Hybrid computer approach to train a machine learning system

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OkwuGbé: End-to-End Speech Recognition for Fon and Igbo

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Efficient Sparse Artificial Neural Networks

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Attack as Defense: Characterizing Adversarial Examples using Robustness

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Approximating How Single Head Attention Learns

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Continual Learning for Recurrent Neural Networks: a Review and Empirical Evaluation

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Towards Risk Modeling for Collaborative AI

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Cooperative Learning of Zero-Shot Machine Reading Comprehension

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PatchNet -- Short-range Template Matching for Efficient Video Processing

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Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles

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Game-theoretic Understanding of Adversarially Learned Features

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Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case

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Your most telling friends: Propagating latent ideological features on Twitter using neighborhood coherence

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Explaining Network Intrusion Detection System Using Explainable AI Framework

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Bilingual Dictionary-based Language Model Pretraining for Neural Machine Translation

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Interleaving Learning, with Application to Neural Architecture Search

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Learning by Teaching, with Application to Neural Architecture Search

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Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs

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Rethinking Relational Encoding in Language Model: Pre-Training for General Sequences

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TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation

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Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles

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Stride and Translation Invariance in CNNs

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Approximation for Probability Distributions by Wasserstein GAN

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A deep learning theory for neural networks grounded in physics

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Fused Deep Features Based Classification Framework for COVID-19 Classification with Optimized MLP

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Bias-Free FedGAN

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Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

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Using latent space regression to analyze and leverage compositionality in GANs

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How I failed machine learning in medical imaging -- shortcomings and recommendations

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Optimal Targeting in Fundraising: A Machine Learning Approach

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OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation

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TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation

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KoDF: A Large-scale Korean DeepFake Detection Dataset

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Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset

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COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics

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TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain

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Evolutional Deep Neural Network

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Deep Learning based Extreme Heatwave Forecast

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Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages

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Modeling differential rates of aging using routine laboratory data; Implications for morbidity and health care expenditure

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PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning

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OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

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Deep Time Series Models for Scarce Data

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Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison

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Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User Interaction

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DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R

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The Invertible U-Net for Optical-Flow-free Video Interframe Generation

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Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection

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Toward Neural-Network-Guided Program Synthesis and Verification

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Contrastive Learning of Musical Representations

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WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting

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Collapsible Linear Blocks for Super-Efficient Super Resolution

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SoWaF: Shuffling of Weights and Feature Maps: A Novel Hardware Intrinsic Attack (HIA) on Convolutional Neural Network (CNN)

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Graph Convolutional Network for Swahili News Classification

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Colorectal Cancer Segmentation using Atrous Convolution and Residual Enhanced UNet

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The Rise and Fall of Fake News sites: A Traffic Analysis

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Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition

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Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones

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Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning

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Hierarchical Reinforcement Learning Framework for Stochastic Spaceflight Campaign Design

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Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition

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Deep learning: a statistical viewpoint

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Is it Enough to Optimize CNN Architectures on ImageNet?

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Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition

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OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning

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Sentiment Analysis for Troll Detection on Weibo

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Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube

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Inclined Quadrotor Landing using Deep Reinforcement Learning

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Unsupervised anomaly detection in digital pathology using GANs

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Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing

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Efficient Intrusion Detection Using Evidence Theory

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Ensemble approach for detection of depression using EEG features

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Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts

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HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search

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Machine Learning for Massive Industrial Internet of Things

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Adversarial Training is Not Ready for Robot Learning

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BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks

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Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems

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Mean Field Game GAN

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Membership Inference Attacks on Machine Learning: A Survey

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Robust Model Compression Using Deep Hypotheses

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Learning Defense Transformers for Counterattacking Adversarial Examples

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DHASP: Differentiable Hearing Aid Speech Processing

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Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence

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Deep Consensus Learning

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Automatically Lock Your Neural Networks When You're Away

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Wav2vec-C: A Self-supervised Model for Speech Representation Learning

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EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition

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The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

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Modelling Human Kinetics and Kinematics during Walking using Reinforcement Learning

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Improving Generalization of Transfer Learning Across Domains Using Spatio-Temporal Features in Autonomous Driving

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Towards Robust Speech-to-Text Adversarial Attack

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Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems

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Image Classifiers for Network Intrusions

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PhotoApp: Photorealistic Appearance Editing of Head Portraits

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Generating Unrestricted Adversarial Examples via Three Parameters

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Early Prediction and Diagnosis of Retinoblastoma Using Deep Learning Techniques

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Integration of Convolutional Neural Networks in Mobile Applications

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Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning

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Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences

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Medical data wrangling with sequential variational autoencoders

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A Reinforcement Learning Based Approach to Play Calling in Football

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Linnaeus: A highly reusable and adaptable ML based log classification pipeline

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Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma

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Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning

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Real-time Timbre Transfer and Sound Synthesis using DDSP

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In the light of feature distributions: moment matching for Neural Style Transfer

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Latent Space Explorations of Singing Voice Synthesis using DDSP

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Is BERT a Cross-Disciplinary Knowledge Learner? A Surprising Finding of Pre-trained Models' Transferability

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Dynamic Acoustic Unit Augmentation With BPE-Dropout for Low-Resource End-to-End Speech Recognition

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Explainable AI by BAPC -- Before and After correction Parameter Comparison

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Learning spectro-temporal representations of complex sounds with parameterized neural networks

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Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer

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Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus

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Improving Authorship Verification using Linguistic Divergence

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Efficient Pairwise Neuroimage Analysis using the Soft Jaccard Index and 3D Keypoint Sets

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The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop

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Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks

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Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild

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FastNeRF: High-Fidelity Neural Rendering at 200FPS

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Future Frame Prediction for Robot-assisted Surgery

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Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser

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Learning to Amend Facial Expression Representation via De-albino and Affinity

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A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation

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Sequential End-to-end Network for Efficient Person Search

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On Semantic Similarity in Video Retrieval

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Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection

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Self-Supervised Adaptation for Video Super-Resolution

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Robust Vision-Based Cheat Detection in Competitive Gaming

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Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE

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Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring

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Topology-Aware Segmentation Using Discrete Morse Theory

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Impact of Facial Tattoos and Paintings on Face Recognition Systems

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Hierarchical Attention-based Age Estimation and Bias Estimation

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Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery

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ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity

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Aggregated Multi-GANs for Controlled 3D Human Motion Prediction

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Single Underwater Image Restoration by Contrastive Learning

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Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Data

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Disentangled Cycle Consistency for Highly-realistic Virtual Try-On

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You Only Look One-level Feature

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Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks

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YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

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A comparative study of deep learning methods for building footprints detection using high spatial resolution aerial images

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Semi-Supervised Learning for Eye Image Segmentation

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LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval

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Back to the Feature: Learning Robust Camera Localization from Pixels to Pose

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Adversarial Driving: Attacking End-to-End Autonomous Driving Systems

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A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition

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PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos

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Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches

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Skeleton Based Sign Language Recognition Using Whole-body Keypoints

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A Computer Vision System to Help Prevent the Transmission of COVID-19

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UPANets: Learning from the Universal Pixel Attention Networks

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Deep Learning for Chest X-ray Analysis: A Survey

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Towards New Multiwavelets: Associated Filters and Algorithms. Part I: Theoretical Framework and Investigation of Biomedical Signals, ECG and Coronavirus Cases

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Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset

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Beyond Image to Depth: Improving Depth Prediction using Echoes

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Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines

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Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation

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GRIHA: Synthesizing 2-Dimensional Building Layouts from Images Captured using a Smart Phone

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Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation

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3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction

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LARNet: Lie Algebra Residual Network for Profile Face Recognition

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R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method

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Pushing the Limits of Capsule Networks

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Deep Tiling: Texture Tile Synthesis Using a Deep Learning Approach

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SaNet: Scale-aware neural Network for Parsing Multiple Spatial Resolution Aerial Images

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SaNet: Scale-aware neural Network for Parsing Multiple Spatial Resolution Aerial Images

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Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images

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DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network

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Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding

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ReDet: A Rotation-equivariant Detector for Aerial Object Detection

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NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Cameras

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Revisiting ResNets: Improved Training and Scaling Strategies

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An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking

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Dilated Fully Convolutional Neural Network for Depth Estimation from a Single Image

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DiaRet: A browser-based application for the grading of Diabetic Retinopathy with Integrated Gradients

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I-Nema: A Biological Image Dataset for Nematode Recognition

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Learning Frequency-aware Dynamic Network for Efficient Super-Resolution

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MBAPose: Mask and Bounding-Box Aware Pose Estimation of Surgical Instruments with Photorealistic Domain Randomization

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COVID-19 Infection Localization and Severity Grading from Chest X-ray Images

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Multi-Object Tracking using Poisson Multi-Bernoulli Mixture Filtering for Autonomous Vehicles

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Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks

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3D Semantic Scene Completion: a Survey

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Juggling With Representations: On the Information Transfer Between Imagery, Point Clouds, and Meshes for Multi-Modal Semantics

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Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association

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Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator

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Deep Dual Consecutive Network for Human Pose Estimation

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Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation

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FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism

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Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removal

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Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks

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DefakeHop: A Light-Weight High-Performance Deepfake Detector

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HumanGAN: A Generative Model of Humans Images

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