paperswithcode_nbow / assets /worst_tasks.csv
lambdaofgod's picture
updated model config
1ed024e
area,task,hits
adversarial,backdoor attack,1
adversarial,adversarial text,1
adversarial,adversarial defense,4
adversarial,adversarial attack,9
audio,voice anti spoofing,0
audio,environmental sound classification,1
audio,audio tagging,1
audio,sound event localization and detection,3
computer-code,program induction,0
computer-code,learning to execute,0
computer-code,type prediction,0
computer-vision,traffic sign recognition,0
computer-vision,object proposal generation,0
computer-vision,face parsing,0
computer-vision,stereo lidar fusion,0
computer-vision,electron microscopy image segmentation,0
computer-vision,surface normals estimation,0
computer-vision,salt and pepper noise removal,0
computer-vision,weakly supervised segmentation,0
computer-vision,camera calibration,0
computer-vision,genre classification,0
graphs,graph reconstruction,0
graphs,graph property prediction,0
graphs,graph learning,0
graphs,video inpainting,1
graphs,graph partitioning,1
graphs,graph regression,1
graphs,graph clustering,3
graphs,graph attention,4
graphs,link prediction,7
graphs,semantic segmentation,9
knowledge-base,entity alignment,1
knowledge-base,breast cancer detection,1
knowledge-base,link prediction,7
medical,cell segmentation,0
medical,medical relation extraction,0
medical,pancreas segmentation,0
medical,liver segmentation,0
medical,lesion segmentation,0
medical,medical code prediction,0
medical,brain segmentation,0
medical,skin cancer classification,0
medical,medical image registration,0
medical,breast cancer detection,1
methodology,multi label classification,0
methodology,unsupervised pre training,0
methodology,classification,0
methodology,multilingual word embeddings,0
methodology,one class classifier,0
methodology,data visualization,0
methodology,automatic machine learning model selection,0
methodology,l2 regularization,0
methodology,abnormal event detection in video,0
methodology,generalization bounds,0
miscellaneous,data visualization,0
miscellaneous,counterfactual inference,0
miscellaneous,misinformation,0
miscellaneous,physical simulations,0
miscellaneous,formation energy,0
miscellaneous,malware classification,0
miscellaneous,multi target regression,0
miscellaneous,open set learning,0
miscellaneous,model discovery,0
miscellaneous,cyber attack detection,0
music,music source separation,3
natural-language-processing,automatic post editing,0
natural-language-processing,text augmentation,0
natural-language-processing,part of speech tagging,0
natural-language-processing,sentence ordering,0
natural-language-processing,grammatical error detection,0
natural-language-processing,unsupervised extractive summarization,0
natural-language-processing,multilingual nlp,0
natural-language-processing,text categorization,0
natural-language-processing,twitter sentiment analysis,0
natural-language-processing,extract aspect,0
playing-games,snes games,0
playing-games,dota 2,0
playing-games,real time strategy games,0
playing-games,smac,0
reasoning,model based reinforcement learning,1
reasoning,common sense reasoning,1
reasoning,visual commonsense reasoning,2
robots,safe exploration,0
robots,deformable object manipulation,0
robots,gesture generation,2
robots,semantic segmentation,9
speech,robust speech recognition,0
speech,acoustic unit discovery,0
speech,speaker separation,1
speech,speaker recognition,2
speech,speaker diarization,3
speech,speech enhancement,6
speech,distant speech recognition,7
speech,speech recognition,7
speech,speech synthesis,10
time-series,traffic prediction,0
time-series,time series analysis,0
time-series,data compression,0
time-series,video quality assessment,1
time-series,time series clustering,2
time-series,stock price prediction,2
time-series,stock market prediction,2
time-series,dynamic time warping,6
time-series,time series,8