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?!

Matching with Trade-offs: Revealed Preferences over Competing Characteristics

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The Stochastic Balance Equation for the American Option Value Function and its Gradient

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Incorporating Financial Big Data in Small Portfolio Risk Analysis: Market Risk Management Approach

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Deep Equal Risk Pricing of Financial Derivatives with Multiple Hedging Instruments

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Social Welfare Maximization and Conformism via Information Design in Linear-Quadratic-Gaussian Games

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Understanding the Farmers, Environmental Citizenship Behaviors Towards Climate Change. The Moderating Mediating Role of Environmental Knowledge and Ascribed Responsibility

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Summarizing Online Conversation of Indonesia Tourism Industry using Network Text Analysis

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Property Business Classification Model Based on Indonesia E-Commerce Data

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Modeling Price Clustering in High-Frequency Prices

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Regional and Sectoral Structures and Their Dynamics of Chinese Economy: A Network Perspective from Multi-Regional Input-Output Tables

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PolicySpace2: modeling markets and endogenous housing policies

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Exploring the role of Awareness, Government Policy, and Infrastructure in adapting B2C E-Commerce to East African Countries

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Multivariate higher order moments in multi-state life insurance

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The Association of Opening K-12 Schools and Colleges with the Spread of COVID-19 in the United States: County-Level Panel Data Analysis

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Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses

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CoinTossX: An open-source low-latency high-throughput matching engine

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How Decentralized is the Governance of Blockchain-based Finance: Empirical Evidence from four Governance Token Distributions

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Benchmarking and Survey of Explanation Methods for Black Box Models

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AutoPreview: A Framework for Autopilot Behavior Understanding

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Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience

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The Logical Options Framework

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Learning Logic Programs by Explaining Failures

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Investigating the Limitations of the Transformers with Simple Arithmetic Tasks

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An introduction to distributed training of deep neural networks for segmentation tasks with large seismic datasets

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A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives

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Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic

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CausalX: Causal Explanations and Block Multilinear Factor Analysis

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Spanish Biomedical and Clinical Language Embeddings

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ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning

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A New Neuromorphic Computing Approach for Epileptic Seizure Prediction

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LazyFormer: Self Attention with Lazy Update

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AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation

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PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning

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Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence

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Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases

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Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others

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Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving

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Deep Reinforcement Learning for Safe Landing Site Selection with Concurrent Consideration of Divert Maneuvers

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AutoAI-TS: AutoAI for Time Series Forecasting

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"Train one, Classify one, Teach one" -- Cross-surgery transfer learning for surgical step recognition

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Multi-Task Attentive Residual Networks for Argument Mining

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Learning to Shift Attention for Motion Generation

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Teach Me to Explain: A Review of Datasets for Explainable NLP

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Image Completion via Inference in Deep Generative Models

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PixSet : An Opportunity for 3D Computer Vision to Go Beyond Point Clouds With a Full-Waveform LiDAR Dataset

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Arguments for the Unsuitability of Convolutional Neural Networks for Non--Local Tasks

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Senone-aware Adversarial Multi-task Training for Unsupervised Child to Adult Speech Adaptation

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An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery

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Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models

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Deep Convolutional Neural Networks with Unitary Weights

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Recurrent Model Predictive Control

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A Novel Deep Learning Method for Textual Sentiment Analysis

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HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search

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SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition

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ROAD: The ROad event Awareness Dataset for Autonomous Driving

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Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) -- Potentials and Pitfalls for Top-down and Bottom-up Approaches

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Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning

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SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology

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Comparative evaluation of CNN architectures for Image Caption Generation

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Histo-fetch -- On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training

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The FaCells. An Exploratory Study about LSTM Layers on Face Sketches Classifiers

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Sandwich Batch Normalization

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Program Synthesis Guided Reinforcement Learning

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Software Architecture for Next-Generation AI Planning Systems

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Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player

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Game Mechanic Alignment Theory and Discovery

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Image Captioning using Deep Stacked LSTMs, Contextual Word Embeddings and Data Augmentation

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Moral Decision-Making in Medical Hybrid Intelligent Systems: A Team Design Patterns Approach to the Bias Mitigation and Data Sharing Design Problems

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Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases

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Position Information in Transformers: An Overview

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Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation

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Predicting Material Properties Using a 3D Graph Neural Network with Invariant Local Descriptors

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LogME: Practical Assessment of Pre-trained Models for Transfer Learning

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Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation

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Do We Really Need Explicit Position Encodings for Vision Transformers?

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Attention Models for Point Clouds in Deep Learning: A Survey

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Unsupervised Meta Learning for One Shot Title Compression in Voice Commerce

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MetaDelta: A Meta-Learning System for Few-shot Image Classification

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AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment

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Web-based Application for Detecting Indonesian Clickbait Headlines using IndoBERT

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Mapping Surgeon's Hand/Finger Motion During Conventional Microsurgery to Enhance Intuitive Surgical Robot Teleoperation

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Tractable Computation of Expected Kernels by Circuits

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Contrastive Self-supervised Neural Architecture Search

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A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches

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Uncertainty-Aware Deep Learning for Autonomous Safe Landing Site Selection

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Do Generative Models Know Disentanglement? Contrastive Learning is All You Need

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CheckSoft : A Scalable Event-Driven Software Architecture for Keeping Track of People and Things in People-Centric Spaces

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Social Networks Analysis to Retrieve Critical Comments on Online Platforms

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Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data

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CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation

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Importance of Environment Design in Reinforcement Learning: A Study of a Robotic Environment

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Towards Teachable Conversational Agents

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The Use of Voice Source Features for Sung Speech Recognition

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Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients

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An Attention Ensemble Approach for Efficient Text Classification of Indian Languages

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Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach

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Image Classification using CNN for Traffic Signs in Pakistan

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User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis

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A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective

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Hate-Alert@DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection

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Continual Learning from Synthetic Data for a Humanoid Exercise Robot

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Analytics and Machine Learning in Vehicle Routing Research

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Training Neural Networks is ER-complete

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Scaling Creative Inspiration with Fine-Grained Functional Facets of Product Ideas

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VisuoSpatial Foresight for Physical Sequential Fabric Manipulation

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Scaling Creative Inspiration with Fine-Grained Functional Facets of Product Ideas

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To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making

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Improving DeepFake Detection Using Dynamic Face Augmentation

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Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation

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A Novel Framework for Neural Architecture Search in the Hill Climbing Domain

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Variable Weights Neural Network For Diabetes Classification

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A microservice-based framework for exploring data selection in cross-building knowledge transfer

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Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning

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Self-Tuning for Data-Efficient Deep Learning

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Evolving Attention with Residual Convolutions

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SparseBERT: Rethinking the Importance Analysis in Self-attention

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Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data

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Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks

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Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians

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Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models

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MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames

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A deep perceptual metric for 3D point clouds

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Dynamic Social Media Monitoring for Fast-Evolving Online Discussions

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Railway Anomaly detection model using synthetic defect images generated by CycleGAN

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Robust SleepNets

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A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data

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Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach

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Abelian Neural Networks

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Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning

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DNN2LR: Automatic Feature Crossing for Credit Scoring

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Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks

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Theoretical Understandings of Product Embedding for E-commerce Machine Learning

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State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards

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When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute

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A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents

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Automatic Feature Extraction for Heartbeat Anomaly Detection

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Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks

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Deep Learning Approach for Singer Voice Classification of Vietnamese Popular Music

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Efficient Palm-Line Segmentation with U-Net Context Fusion Module

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The Promises and Pitfalls of Deep Kernel Learning

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Zero-Shot Text-to-Image Generation

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SocialNLP EmotionGIF 2020 Challenge Overview: Predicting Reaction GIF Categories on Social Media

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Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography

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Neural Ranking Models for Document Retrieval

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Automated Discovery of Adaptive Attacks on Adversarial Defenses

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Convergence rates for gradient descent in the training of overparameterized artificial neural networks with biases

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V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities

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Controllable and Diverse Text Generation in E-commerce

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Data Engineering for Everyone

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Assigning Confidence to Molecular Property Prediction

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HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving

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Uncertainty-aware Generalized Adaptive CycleGAN

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Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

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VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels

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Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems

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Modeling Multi-Destination Trips with Sketch-Based Model

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Neural Pharmacodynamic State Space Modeling

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Linear Transformers Are Secretly Fast Weight Memory Systems

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Optimism is All You Need: Model-Based Imitation Learning From Observation Alone

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Self-Supervised Learning of Graph Neural Networks: A Unified Review

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Symbolic regression for scientific discovery: an application to wind speed forecasting

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Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown

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Weak NAS Predictors Are All You Need

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Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits

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MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks

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An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks

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SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks

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GroupifyVAE: from Group-based Definition to VAE-based Unsupervised Representation Disentanglement

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Learning Neural Generative Dynamics for Molecular Conformation Generation

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Conditional Adversarial Networks for Multi-Domain Text Classification

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BPLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learning

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Efficient approximation of DNA hybridisation using deep learning

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Anyone GAN Sing

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An open access NLP dataset for Arabic dialects : Data collection, labeling, and model construction

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Coherence of Working Memory Study Between Deep Neural Network and Neurophysiology

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SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences

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Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation

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MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation

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Tchebichef Transform Domain-based Deep Learning Architecture for Image Super-resolution

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Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM

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Deep ReLU Networks Preserve Expected Length

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Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference

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How To Train Your HERON

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Automated identification of transiting exoplanet candidates in NASA Transiting Exoplanets Survey Satellite (TESS) data with machine learning methods

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Learnable MFCCs for Speaker Verification

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CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels

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MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks

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Learning to Stop with Surprisingly Few Samples

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Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models

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Applications of deep learning in traffic congestion alleviation: A survey

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Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques

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Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks

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Convolutional Normalization

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SVRG Meets AdaGrad: Painless Variance Reduction

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On Approximation in Deep Convolutional Networks: a Kernel Perspective

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A flow-based IDS using Machine Learning in eBPF

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Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking

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Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast

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Do End-to-End Speech Recognition Models Care About Context?

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Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure

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Calibrate Before Use: Improving Few-Shot Performance of Language Models

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Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability

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IBRNet: Learning Multi-View Image-Based Rendering

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Learning for Unconstrained Space-Time Video Super-Resolution

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Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks

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CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results

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Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks

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ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning

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Real-Time Ellipse Detection for Robotics Applications

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A Straightforward Framework For Video Retrieval Using CLIP

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GEM: Glare or Gloom, I Can Still See You -- End-to-End Multimodal Object Detector

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An Enhanced Prohibited Items Recognition Model

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State-of-the-Art in Human Scanpath Prediction

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Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

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Enabling the Network to Surf the Internet

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GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation

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Self-Domain Adaptation for Face Anti-Spoofing

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Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

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PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation

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Characterization and recognition of handwritten digits using Julia

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Event Camera Based Real-Time Detection and Tracking of Indoor Ground Robots

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DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques

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UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering

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STEP: Segmenting and Tracking Every Pixel

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Page Layout Analysis System for Unconstrained Historic Documents

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Automatic Ship Classification Utilizing Bag of Deep Features

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Procam Calibration from a Single Pose of a Planar Target

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Deep Unrolled Network for Video Super-Resolution

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Unsupervised Brain Anomaly Detection and Segmentation with Transformers

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EscapeWildFire: Assisting People to Escape Wildfires in Real-Time

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Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks

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Style and Pose Control for Image Synthesis of Humans from a Single Monocular View

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Deepfake Video Detection Using Convolutional Vision Transformer

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Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer

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Post-hoc Overall Survival Time Prediction from Brain MRI

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Training custom modality-specific U-Net models with weak localizations for improved Tuberculosis segmentation and localization

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Unsupervised Medical Image Alignment with Curriculum Learning

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CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images

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EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks

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Towards Accurate and Compact Architectures via Neural Architecture Transformer

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Hard-Attention for Scalable Image Classification

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Classification of COVID-19 via Homology of CT-SCAN

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WaNet -- Imperceptible Warping-based Backdoor Attack

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Effective and Efficient Vote Attack on Capsule Networks

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Pose Guided Person Image Generation with Hidden p-Norm Regression

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Subjective Assessments of Legibility in Ancient Manuscript Images -- The SALAMI Dataset

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Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays

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One Shot Audio to Animated Video Generation

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A GAN-Based Input-Size Flexibility Model for Single Image Dehazing

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Noise Entangled GAN For Low-Dose CT Simulation

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