A list of papers on arxiv.org with the over-hyped Deep* prefix in the title.

DeepThings_on_aRxiv.R

# https://ropensci.org/tutorials/arxiv_tutorial.html
install.packages("aRxiv")

library(aRxiv)
library(stringr)
library(ggplot2)

# Query arxiv: 6892 results including "Deep"; 49 DeepThings (Sept 21, 2017)
df <- arxiv_search('ti:"Deep"', batchsize = 1000, limit = 100000)
titles <- grep(pattern = "Deep[[:upper:]][[:lower:]]+", 
               x = df$title, 
               value = TRUE)
deepthings <- str_extract(string = titles, 
                          pattern = "(Deep[[:upper:]][[:lower:]][[:alpha:]]+)")

print(deepthings)
# [1] "DeepPose"        "DeepSentiBank"   "DeepEdge"        "DeepOrgan"      
# [5] "DeepCough"       "DeepLogo"        "DeepProposal"    "DeepSaliency"   
# [9] "DeepFool"        "DeepCare"        "DeepSpark"       "DeepNano"       
# [13] "DeepPicker"      "DeepLearningKit" "DeepMovie"       "DeepLab"        
# [17] "DeepSurv"        "DeepMath"        "DeepProposals"   "DeepFood"       
# [21] "DeepWriter"      "DeepChrome"      "DeepSoft"        "DeepSkeleton"   
# [25] "DeepGaze"        "DeepSpace"       "DeepSense"       "DeepSetNet"     
# [29] "DeepCancer"      "DeepFace"        "DeepCloak"       "DeepLens"       
# [33] "DeepVel"         "DeepArchitect"   "DeepMetabolism"  "DeepXplore"     
# [37] "DeepSecure"      "DeepIoT"         "DeepSketch"      "DeepStory"      
# [41] "DeepTrend"       "DeepCodec"       "DeepProf"        "DeepRebirth"    
# [45] "DeepBreath"      "DeepTest"        "DeepFeat"        "DeepSense"      
# [49] "DeepLung"           
                       
print(titles)
# [1] "DeepPose: Human Pose Estimation via Deep Neural Networks"                                                                                    
# [2] "DeepSentiBank: Visual Sentiment Concept Classification with Deep\n  Convolutional Neural Networks"                                           
# [3] "DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour\n  Detection"                                                           
# [4] "DeepOrgan: Multi-level Deep Convolutional Networks for Automated\n  Pancreas Segmentation"                                                   
# [5] "DeepCough: A Deep Convolutional Neural Network in A Wearable Cough\n  Detection System"                                                      
# [6] "DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer"                                                                      
# [7] "DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers"                                                                        
# [8] "DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object\n  Detection"                                                          
# [9] "DeepFool: a simple and accurate method to fool deep neural networks"                                                                         
# [10] "DeepCare: A Deep Dynamic Memory Model for Predictive Medicine"                                                                               
# [11] "DeepSpark: A Spark-Based Distributed Deep Learning Framework for\n  Commodity Clusters"                                                      
# [12] "DeepNano: Deep Recurrent Neural Networks for Base Calling in MinION\n  Nanopore Reads"                                                       
# [13] "DeepPicker: a Deep Learning Approach for Fully Automated Particle\n  Picking in Cryo-EM"                                                     
# [14] "DeepLearningKit - an GPU Optimized Deep Learning Framework for Apple's\n  iOS, OS X and tvOS developed in Metal and Swift"                   
# [15] "DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies"                                                                    
# [16] "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,\n  Atrous Convolution, and Fully Connected CRFs"                          
# [17] "DeepSurv: Personalized Treatment Recommender System Using A Cox\n  Proportional Hazards Deep Neural Network"                                 
# [18] "DeepMath - Deep Sequence Models for Premise Selection"                                                                                       
# [19] "DeepProposals: Hunting Objects and Actions by Cascading Deep\n  Convolutional Layers"                                                        
# [20] "DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided\n  Dietary Assessment"                                               
# [21] "DeepWriter: A Multi-Stream Deep CNN for Text-independent Writer\n  Identification"                                                           
# [22] "DeepChrome: Deep-learning for predicting gene expression from histone\n  modifications"                                                      
# [23] "DeepSoft: A vision for a deep model of software"                                                                                             
# [24] "DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for\n  Object Skeleton Extraction in Natural Images"                    
# [25] "DeepGaze II: Reading fixations from deep features trained on object\n  recognition"                                                          
# [26] "DeepSpace: An Online Deep Learning Framework for Mobile Big Data to\n  Understand Human Mobility Patterns"                                   
# [27] "DeepSense: A Unified Deep Learning Framework for Time-Series Mobile\n  Sensing Data Processing"                                              
# [28] "DeepSetNet: Predicting Sets with Deep Neural Networks"                                                                                       
# [29] "DeepCancer: Detecting Cancer through Gene Expressions via Deep\n  Generative Learning"                                                       
# [30] "DeepFace: Face Generation using Deep Learning"                                                                                               
# [31] "DeepCloak: Masking Deep Neural Network Models for Robustness Against\n  Adversarial Samples"                                                 
# [32] "CMU DeepLens: Deep Learning For Automatic Image-based Galaxy-Galaxy\n  Strong Lens Finding"                                                  
# [33] "DeepVel: deep learning for the estimation of horizontal velocities at\n  the solar surface"                                                  
# [34] "DeepArchitect: Automatically Designing and Training Deep Architectures"                                                                      
# [35] "DeepMetabolism: A Deep Learning System to Predict Phenotype from Genome\n  Sequencing"                                                       
# [36] "DeepXplore: Automated Whitebox Testing of Deep Learning Systems"                                                                             
# [37] "DeepSecure: Scalable Provably-Secure Deep Learning"                                                                                          
# [38] "DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems\n  with a Compressor-Critic Framework"                               
# [39] "DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and\n  Caricature Modeling"                                              
# [40] "DeepStory: Video Story QA by Deep Embedded Memory Networks"                                                                                  
# [41] "DeepTrend: A Deep Hierarchical Neural Network for Traffic Flow\n  Prediction"                                                                
# [42] "DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural\n  Networks"                                                          
# [43] "DeepProf: Performance Analysis for Deep Learning Applications via Mining\n  GPU Execution Patterns"                                          
# [44] "DeepRebirth: Accelerating Deep Neural Network Execution on Mobile\n  Devices"                                                                
# [45] "DeepBreath: Deep Learning of Breathing Patterns for Automatic Stress\n  Recognition using Low-Cost Thermal Imaging in Unconstrained Settings"
# [46] "DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous\n  Cars"                                                                
# [47] "DeepFeat: A Bottom Up and Top Down Saliency Model Based on Deep Features\n  of Convolutional Neural Nets"                                    
# [48] "RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty\n  Estimations"                                                           
# [49] "DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule\n  Detection and Classification"


# Plot growth 
df$date <- as.Date(df$submitted)
qplot(x = df$date, 
      geom = "histogram", 
      bins = 40,
      fill = I("red"), 
      col = I("black"),
      main = "DeepThings on arxiv.org")

Just tried to re-run on Feb 2, 2021, now there's too many results and it breaks the code! I need to refine the search (probably restrict the category).

Total records matching query: 22174
Error in arxiv_search("ti:\"Deep\"", batchsize = 1000, limit = 1e+05) : 
  Expecting 22174 results; refine your search