paperswithcode / areas.csv
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areaID,pwc_id,title
07e7a85e-cbbf-48a4-b9d8-3f31f2601126,adversarial,Adversarial
1dd9ad64-a728-430e-9af2-18ed6d5ee8db,audio,Audio
90e05097-acdc-4d28-a71b-49e4d4c89e7f,computer-code,Computer Code
29390874-a35a-4827-843e-7e7f139f9f56,computer-vision,Computer Vision
21fac7ea-f0ce-48b6-a46d-a2fa5dc70d30,graphs,Graphs
ae8e2e0d-175a-4308-a865-90366f0bf1ab,knowledge-base,Knowledge Base
6f216977-5e02-4d5e-b5be-f99caf0c492e,medical,Medical
7cab5305-f515-42ab-a31a-6274b276c50f,methodology,Methodology
6aa8725d-b4fd-46c0-bf4b-67dd657b8d51,miscellaneous,Miscellaneous
a73becae-dbbb-46b7-988f-1541e5560004,music,Music
e0fc9f5e-9e20-4f0f-a33e-e5f80e43bbd8,natural-language-processing,Natural Language Processing
2dd1e833-3924-4c43-ab47-8fecd9954463,playing-games,Playing Games
d1d1461e-6fea-4321-85f9-997d8e155cb2,reasoning,Reasoning
72825350-dc72-4955-bd64-c372297b4ef0,robots,Robots
8cb76a19-f5c0-4d55-abc5-b5e28125201d,speech,Speech
328616ba-ee90-4a1f-aa15-b262ba768cdf,time-series,Time Series