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?!

Robust Portfolio Selection Problems: A Comprehensive Review

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Intraday trading strategy based on time series and machine learning for Chinese stock market

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Understanding the Puzzle of Primary Health-care Use: Evidence from India

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Co-Creation of Innovative Gamification Based Learning: A Case of Synchronous Partnership

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Modeling of crisis periods in stock markets

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Interpretable ML-driven Strategy for Automated Trading Pattern Extraction

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Understanding Factors that Influence Upskillng

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The Success of AdaBoost and Its Application in Portfolio Management

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Deep Hedging: Learning Risk-Neutral Implied Volatility Dynamics

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Optimal exit decision of venture capital under time-inconsistent preferences

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A Deep Deterministic Policy Gradient-based Strategy for Stocks Portfolio Management

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A deep learning approach to data-driven model-free pricing and to martingale optimal transport

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Purchase history and product personalization

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Locational Marginal Pricing: Towards a Free Market in Power

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AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting

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Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving

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Projection: A Mechanism for Human-like Reasoning in Artificial Intelligence

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The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI

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Computational Mechanism for the Effect of Psychosis Community Treatment: A Conceptual Review from Neurobiology to Social Interaction

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Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

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ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network

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Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features

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HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks

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EfficientTDNN: Efficient Architecture Search for Speaker Recognition in the Wild

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Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents

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Evidential fully convolutional network for semantic segmentation

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Ontology-Based Recommendation of Editorial Products

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A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control

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Diverse Branch Block: Building a Convolution as an Inception-like Unit

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Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction

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A New Paradigm of Threats in Robotics Behaviors

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Behavior coordination for self-adaptive robots using constraint-based configuration

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W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality

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AutoMix: Unveiling the Power of Mixup

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Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability

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From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search

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VLGrammar: Grounded Grammar Induction of Vision and Language

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Teacher-Explorer-Student Learning: A Novel Learning Method for Open Set Recognition

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Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework

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Generative Minimization Networks: Training GANs Without Competition

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The Road to a Successful HRI: AI, Trust and ethicS-TRAITS

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deepBF: Malicious URL detection using Learned Bloom Filter and Evolutionary Deep Learning

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A News Recommender System Considering Temporal Dynamics and Diversity

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Watermark Faker: Towards Forgery of Digital Image Watermarking

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Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection

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Contrastive Reasoning in Neural Networks

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IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography

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Dilated SpineNet for Semantic Segmentation

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Human-like Controllable Image Captioning with Verb-specific Semantic Roles

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Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps

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Combining Reward Information from Multiple Sources

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The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation

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Artificial Intelligence Narratives: An Objective Perspective on Current Developments

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SuSketch: Surrogate Models of Gameplay as a Design Assistant

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Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study

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An Experimental Review on Deep Learning Architectures for Time Series Forecasting

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Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

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Improving and Simplifying Pattern Exploiting Training

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BERT: A Review of Applications in Natural Language Processing and Understanding

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Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records

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Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units

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Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing

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Deconvolution-and-convolution Networks

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Identifying Machine-Paraphrased Plagiarism

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MasakhaNER: Named Entity Recognition for African Languages

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Transfer learning from High-Resource to Low-Resource Language Improves Speech Affect Recognition Classification Accuracy

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Extracting Semantic Process Information from the Natural Language in Event Logs

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Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling

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Grey-box Adversarial Attack And Defence For Sentiment Classification

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Paying Attention to Activation Maps in Camera Pose Regression

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Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework

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High precision control and deep learning-based corn stand counting algorithms for agricultural robot

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SELM: Software Engineering of Machine Learning Models

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Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development

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MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans

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Compacting Deep Neural Networks for Internet of Things: Methods and Applications

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Local Interpretations for Explainable Natural Language Processing: A Survey

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TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora

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AxonNet: A self-supervised Deep Neural Network for Intravoxel Structure Estimation from DW-MRI

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Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals

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BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients

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From driving automation systems to autonomous vehicles: clarifying the terminology

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Computational Emotion Analysis From Images: Recent Advances and Future Directions

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Lessons Learned from Educating AI Engineers

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White Paper Machine Learning in Certified Systems

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Paint by Word

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Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients

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Attention-based model for predicting question relatedness on Stack Overflow

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Data driven algorithms for limited labeled data learning

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Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation

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Recent Advances in Deep Learning Techniques for Face Recognition

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3D Human Pose Estimation with Spatial and Temporal Transformers

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SMILE: Self-Distilled MIxup for Efficient Transfer LEarning

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A Retail Product Categorisation Dataset

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Autism Spectrum Disorder Screening Using Discriminative Brain Sub-Networks: An Entropic Approach

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Fast Approximate Spectral Normalization for Robust Deep Neural Networks

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RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy

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Deep Similarity Learning for Sports Team Ranking

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Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space

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ECINN: Efficient Counterfactuals from Invertible Neural Networks

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Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy

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Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

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Impact of the COVID-19 outbreak on Italy's country reputation and stock market performance: a sentiment analysis approach

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Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning

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An Empirical Analysis of Image-Based Learning Techniques for Malware Classification

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CNN vs ELM for Image-Based Malware Classification

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SSLayout360: Semi-Supervised Indoor Layout Estimation from 360$^{\circ}$ Panorama

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Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE

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Explainability Guided Multi-Site COVID-19 CT Classification

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Improving Online Forums Summarization via Unifying Hierarchical Attention Networks with Convolutional Neural Networks

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Deepfake Forensics via An Adversarial Game

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Rethinking Self-Supervised Learning: Small is Beautiful

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Machine Learning-based Automatic Graphene Detection with Color Correction for Optical Microscope Images

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Blind Speech Separation and Dereverberation using Neural Beamforming

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TagMe: GPS-Assisted Automatic Object Annotation in Videos

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Learning to Generate Code Comments from Class Hierarchies

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FastMoE: A Fast Mixture-of-Expert Training System

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Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving

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A VAE-Based Bayesian Bidirectional LSTM for Renewable Energy Forecasting

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One-Shot GAN: Learning to Generate Samples from Single Images and Videos

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Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling

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Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositories

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Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition

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The Shapley Value of coalition of variables provides better explanations

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MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation

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Neuromorphic Computing with Deeply Scaled Ferroelectric FinFET in Presence of Process Variation, Device Aging and Flicker Noise

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Automatic Cough Classification for Tuberculosis Screening in a Real-World Environment

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CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL

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MIcro-Surgical Anastomose Workflow recognition challenge report

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Shift-and-Balance Attention

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SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms

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PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code

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Detecting Phishing Sites -- An Overview

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How to decay your learning rate

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DIG: A Turnkey Library for Diving into Graph Deep Learning Research

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CLIP: Cheap Lipschitz Training of Neural Networks

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Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload

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Explainability: Relevance based Dynamic Deep Learning Algorithm for Fault Detection and Diagnosis in Chemical Processes

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Energy Disaggregation using Variational Autoencoders

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Can I Solve It? Identifying APIs Required to Complete OSS Task

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GA-SVM for Evaluating Heroin Consumption Risk

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ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning

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A new public Alsat-2B dataset for single-image super-resolution

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On Ensemble Learning

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BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

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A New Approach To Text Rating Classification Using Sentiment Analysis

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Anomaly detection using principles of human perception

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Learning 6DoF Grasping Using Reward-Consistent Demonstration

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Hallucination of speech recognition errors with sequence to sequence learning

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Efficient sign language recognition system and dataset creation method based on deep learning and image processing

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Tiny Transformers for Environmental Sound Classification at the Edge

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A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients

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Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Classification in Imbalanced Data Sets

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Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning

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Generating Adversarial Computer Programs using Optimized Obfuscations

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Real-time End-to-End Federated Learning: An Automotive Case Study

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A Federated Learning Framework in Smart Grid: Securing Power Traces in Collaborative Learning

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Spatio-Temporal Neural Network for Fitting and Forecasting COVID-19

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Detecting Racial Bias in Jury Selection

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GNAS: A Generalized Neural Network Architecture Search Framework

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Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools

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Detection of fake news on CoViD-19 on Web Search Engines

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Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems

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ast2vec: Utilizing Recursive Neural Encodings of Python Programs

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How to Design Sample and Computationally Efficient VQA Models

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ExAD: An Ensemble Approach for Explanation-based Adversarial Detection

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Conditional Frechet Inception Distance

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Knowledge Discovery in Surveys using Machine Learning: A Case Study of Women in Entrepreneurship in UAE

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ProgressiveSpinalNet architecture for FC layers

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Language-Agnostic Representation Learning of Source Code from Structure and Context

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ActivationNet: Representation learning to predict contact quality of interacting 3-D surfaces in engineering designs

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Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection

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Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions

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Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges

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Train Deep Neural Networks in 40-D Subspaces

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Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural Network

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Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey

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Self-paced ensemble learning for speech and audio classification

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Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery

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Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning

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Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech

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Measuring and modeling the motor system with machine learning

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Automatic Pulmonary Artery and Vein Separation Algorithm Based on Multitask Classification Network and Topology Reconstruction in Chest CT Images

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Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble

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PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation

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Project-Level Encoding for Neural Source Code Summarization of Subroutines

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Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing

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Integrating Electrochemical Modeling with Machine Learning for Lithium-Ion Batteries

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ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning

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Round and Communication Balanced Protocols for Oblivious Evaluation of Finite State Machines

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Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks

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Token-wise Curriculum Learning for Neural Machine Translation

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UAV Communications for Sustainable Federated Learning

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A first step towards automated species recognition from camera trap images of mammals using AI in a European temperate forest

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GPT Understands, Too

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Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach

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Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More

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Prediction of progressive lens performance from neural network simulations

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Naive Automated Machine Learning -- A Late Baseline for AutoML

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Reading Isn't Believing: Adversarial Attacks On Multi-Modal Neurons

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Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation

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Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline

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AutoTune: Controller Tuning for High-Speed Flight

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ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases

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Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation

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API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations

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SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems

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Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists

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UNETR: Transformers for 3D Medical Image Segmentation

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MARS: Markov Molecular Sampling for Multi-objective Drug Discovery

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High-Fidelity Pluralistic Image Completion with Transformers

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Rethinking Deep Contrastive Learning with Embedding Memory

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GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing

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More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval

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ScanGAN360: A Generative Model of Realistic Scanpaths for 360$^{\circ}$ Images

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An Image is Worth 16x16 Words, What is a Video Worth?

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StyleLess layer: Improving robustness for real-world driving

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Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition

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Generative-Adversarial-Networks-based Ghost Recognition

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Multi-frame Super-resolution from Noisy Data

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AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style

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Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting

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Asymmetric CNN for image super-resolution

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JDSR-GAN: Constructing A Joint and Collaborative Learning Network for Masked Face Super-Resolution

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Deep Learning with robustness to missing data: A novel approach to the detection of COVID-19

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Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review

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A Framework for 3D Tracking of Frontal Dynamic Objects in Autonomous Cars

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Object Localization Through a Single Multiple-Model Convolutional Neural Network with a Specific Training Approach

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DNN Quantization with Attention

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AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild

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Learning Versatile Neural Architectures by Propagating Network Codes

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A Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarios

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Learning Fine-Grained Segmentation of 3D Shapes without Part Labels

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Can Vision Transformers Learn without Natural Images?

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From Shadow Generation to Shadow Removal

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Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noise

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MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation

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One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video

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SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing

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RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation

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Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation

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Multi-view 3D Reconstruction with Transformer

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Benchmarking Deep Trackers on Aerial Videos

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Lightweight Image Super-Resolution with Multi-scale Feature Interaction Network

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UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution

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Multimodal Personal Ear Authentication Using Smartphones

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Region extraction based approach for cigarette usage classification using deep learning

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OFFSEG: A Semantic Segmentation Framework For Off-Road Driving

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Generalizing Face Forgery Detection with High-frequency Features

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A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition

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Shared Latent Space of Font Shapes and Impressions

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Generalized Domain Conditioned Adaptation Network

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Multi-Modal Answer Validation for Knowledge-Based VQA

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Deep Implicit Moving Least-Squares Functions for 3D Reconstruction

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Temporal Feature Networks for CNN based Object Detection

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End-to-End Trainable Multi-Instance Pose Estimation with Transformers

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Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images

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SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping

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NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation

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F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning

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LaneAF: Robust Multi-Lane Detection with Affinity Fields

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Context-Aware Layout to Image Generation with Enhanced Object Appearance

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DeepViT: Towards Deeper Vision Transformer

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AutoSpace: Neural Architecture Search with Less Human Interference

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Incorporating Convolution Designs into Visual Transformers

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Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization

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Model-based 3D Hand Reconstruction via Self-Supervised Learning

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Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking

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Progressive and Aligned Pose Attention Transfer for Person Image Generation

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A Survey of Hand Crafted and Deep Learning Methods for Image Aesthetic Assessment

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Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation

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UAV Images Dataset for Moving Object Detection from Moving Cameras

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Responsible AI: Gender bias assessment in emotion recognition

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Learning Calibrated-Guidance for Object Detection in Aerial Images

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Multi-view analysis of unregistered medical images using cross-view transformers

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3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model

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High Resolution Face Editing with Masked GAN Latent Code Optimization

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A novel multimodal fusion network based on a joint coding model for lane line segmentation

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Classifier Crafting: Turn Your ConvNet into a Zero-Shot Learner!

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Are High-Frequency Components Beneficial for Training of Generative Adversarial Networks

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AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis

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Stereo CenterNet based 3D Object Detection for Autonomous Driving

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Visualization of Deep Transfer Learning In SAR Imagery

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Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation

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Video Class Agnostic Segmentation Benchmark for Autonomous Driving

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Self-Supervised Classification Network

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Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wild

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Generation and Simulation of Yeast Microscopy Imagery with Deep Learning

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Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation

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Learn-to-Race: A Multimodal Control Environment for Autonomous Racing

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Skeleton Merger: an Unsupervised Aligned Keypoint Detector

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ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation

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Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement

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CLTA: Contents and Length-based Temporal Attention for Few-shot Action Recognition

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Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning

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Variational Knowledge Distillation for Disease Classification in Chest X-Rays

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