This is a table of type proper and their frequencies. Use it to search & browse the list to learn more about your study carrel.
| proper | frequency |
|---|---|
| � | 637 |
| learning | 186 |
| machine | 175 |
| ai | 162 |
| libraries | 97 |
| disciplinary | 83 |
| cross | 82 |
| - | 81 |
| al | 75 |
| researchǔchapter | 73 |
| ml | 62 |
| library | 61 |
| chicago | 58 |
| university | 57 |
| ff | 56 |
| digital | 51 |
| et | 47 |
| intelligence | 46 |
| artificial | 46 |
| data | 44 |
| new | 44 |
| 37 | |
| research | 35 |
| m | 32 |
| science | 31 |
| information | 28 |
| ieee | 28 |
| n.d | 27 |
| york | 27 |
| press | 27 |
| review | 25 |
| gan | 24 |
| journal | 23 |
| marc | 22 |
| microsoft | 21 |
| ing | 21 |
| generative | 21 |
| conference | 21 |
| adversarial | 21 |
| international | 20 |
| figure | 20 |
| technology | 20 |
| may | 20 |
| computer | 19 |
| humanities | 19 |
| march | 18 |
| . | 18 |
| markov | 17 |
| january | 17 |
| congress | 17 |
| state | 16 |
| msc | 16 |
| december | 16 |
| david | 16 |
| association | 16 |
| networks | 16 |
| computational | 15 |
| a. | 15 |
| algorithm | 15 |
| chinese | 15 |
| cohen | 15 |
| john | 15 |
| m/ | 15 |
| proceedings | 15 |
| reading | 15 |
| ’s | 15 |
| • | 14 |
| theory | 14 |
| november | 14 |
| m. | 14 |
| kentucky | 14 |
| barthel | 14 |
| balke | 14 |
| k | 13 |
| april | 13 |
| c. | 13 |
| harper | 13 |
| june | 13 |
| Řehůřek | 13 |
| ma | 13 |
| social | 13 |
| tönnies | 13 |
| wang | 13 |
| python | 13 |
| f | 12 |
| annual | 12 |
| b | 12 |
| deep | 12 |
| college | 12 |
| h | 12 |
| michael | 12 |
| one | 12 |
| studies | 12 |
| mark | 11 |
| accessed | 11 |
| american | 11 |
| book | 11 |
| classification | 11 |
| corpus | 11 |
| discovery | 11 |
| ffrrrx | 11 |
| kq/2h | 11 |
| n.p | 11 |
| national | 11 |
| neural | 11 |
| october | 11 |
| references | 11 |
| study | 11 |
| systems | 11 |
| thomas | 11 |
| nakazawa | 11 |
| k. | 10 |
| graph | 10 |
| jiang | 10 |
| james | 10 |
| human | 10 |
| hintze | 10 |
| a | 10 |
| english | 10 |
| bm | 10 |
| analysis | 10 |
| `ib7b+b | 10 |
| july | 10 |
| stanford | 10 |
| kim | 10 |
| mit | 10 |
| morgan | 10 |
| notre | 10 |
| oboc | 10 |
| oklahoma | 10 |
| open | 10 |
| public | 10 |
| scholarly | 10 |
| times | 10 |
| linguistics | 10 |
| cai | 9 |
| ethics | 9 |
| eastern | 9 |
| dame | 9 |
| d. | 9 |
| jason | 9 |
| archival | 9 |
| algorithms | 9 |
| `;p | 9 |
| +?bm2@h2 | 9 |
| introduction | 9 |
| j. | 9 |
| katherine | 9 |
| recognition | 9 |
| y | 9 |
| springer | 9 |
| society | 9 |
| schmidt | 9 |
| world | 9 |
| processing | 9 |
| mining | 9 |
| mag | 9 |
| literature | 9 |
| language | 8 |
| acm | 8 |
| archives | 8 |
| british | 8 |
| collections | 8 |
| future | 8 |
| george | 8 |
| goodfellow | 8 |
| l. | 8 |
| knowledge | 8 |
| learn- | 8 |
| picasa | 8 |
| literary | 8 |
| wordpress | 8 |
| wiegand | 8 |
| subject | 8 |
| survey | 8 |
| peter | 8 |
| network | 8 |
| liu | 8 |
| design | 7 |
| klein | 7 |
| hathitrust | 7 |
| law | 7 |
| h2 | 7 |
| h. | 7 |
| february | 7 |
| big | 7 |
| davis | 7 |
| con- | 7 |
| cham | 7 |
| challenges | 7 |
| august | 7 |
| academic | 7 |
| methods | 7 |
| martin | 7 |
| pine | 7 |
| mountain | 7 |
| school | 7 |
| x | 7 |
| word | 7 |
| padilla | 7 |
| use | 7 |
| understanding | 7 |
| topic | 7 |
| vision | 7 |
| schossau | 7 |
| researchers | 7 |
| publishing | 7 |
| project | 7 |
| park | 7 |
| robert | 7 |
| ffk | 6 |
| douglas | 6 |
| f. | 6 |
| 6 | |
| family | 6 |
| daniel | 6 |
| fos | 6 |
| generation | 6 |
| hansen | 6 |
| harris | 6 |
| github | 6 |
| ryan | 6 |
| contentdm | 6 |
| collection | 6 |
| c | 6 |
| bias | 6 |
| berea | 6 |
| b@ | 6 |
| applications | 6 |
| altman | 6 |
| alex | 6 |
| i?2 | 6 |
| hu- | 6 |
| zhao | 6 |
| lauren | 6 |
| romantic | 6 |
| z. | 6 |
| lesk | 6 |
| yewno | 6 |
| xu | 6 |
| wikipedia | 6 |
| vector | 6 |
| unsworth | 6 |
| september | 6 |
| san | 6 |
| yu | 6 |
| r. | 6 |
| oxford | 6 |
| quarterly | 6 |
| mf | 6 |
| modeling | 6 |
| lin | 6 |
| paul | 6 |
| per_x | 6 |
| pmss | 6 |
| q7 | 6 |
| ffrrrxrb`2 | 5 |
| dr. | 5 |
| e. | 5 |
| ed | 5 |
| edward | 5 |
| elizabeth | 5 |
| eric | 5 |
| evolution | 5 |
| harlan | 5 |
| fft | 5 |
| first | 5 |
| french | 5 |
| go | 5 |
| hewitt | 5 |
| https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47 | 5 |
| ian | 5 |
| computing | 5 |
| cultural | 5 |
| inquiry | 5 |
| communications | 5 |
| assistant | 5 |
| 7q | 5 |
| `/b/ | 5 |
| access | 5 |
| algee | 5 |
| allen | 5 |
| approach | 5 |
| art | 5 |
| aws | 5 |
| com- | 5 |
| b. | 5 |
| b;bi | 5 |
| boston | 5 |
| cambridge | 5 |
| case | 5 |
| clark | 5 |
| code4lib | 5 |
| image | 5 |
| knight | 5 |
| jacobucci | 5 |
| strengths | 5 |
| robot | 5 |
| roopika | 5 |
| sciences | 5 |
| search | 5 |
| shen | 5 |
| singh | 5 |
| stalin | 5 |
| text | 5 |
| r | 5 |
| tool | 5 |
| trends | 5 |
| us | 5 |
| v | 5 |
| workshop | 5 |
| wykle | 5 |
| johnson | 5 |
| risam | 5 |
| will | 5 |
| qmmi | 5 |
| nature | 5 |
| prud’homme | 5 |
| jose | 5 |
| mario | 5 |
| matthew | 5 |
| model | 5 |
| n. | 5 |
| natural | 5 |
| zeng | 5 |
| news | 5 |
| preprint | 5 |
| p. | 5 |
| patrick | 5 |
| pattern | 5 |
| online | 5 |
| plumb | 5 |
| general | 4 |
| gaugan | 4 |
| g. | 4 |
| forum | 4 |
| flu | 4 |
| extraction | 4 |
| effect | 4 |
| entity | 4 |
| dublin | 4 |
| distant | 4 |
| development | 4 |
| cvpr | 4 |
| gold | 4 |
| curation | 4 |
| global | 4 |
| hyde | 4 |
| gordon | 4 |
| h2mu | 4 |
| health | 4 |
| hollywood | 4 |
| https://journal.code4lib.org/articles/13671 | 4 |
| https://passamaquoddypeople.com/passamaquoddy-traditional-knowledge-labels | 4 |
| https://www.blog.google/products/assistant/interpreter-mode-brings-real-time-translation-your-phone/ | 4 |
| ii | 4 |
| iii | 4 |
| iit | 4 |
| imaging | 4 |
| imls | 4 |
| in- | 4 |
| inc. | 4 |
| county | 4 |
| csv | 4 |
| blog | 4 |
| corpora | 4 |
| cordell | 4 |
| age | 4 |
| alexander | 4 |
| algorithmic | 4 |
| amazon | 4 |
| andrew | 4 |
| api | 4 |
| appendix | 4 |
| arend | 4 |
| automated | 4 |
| autonomous | 4 |
| bell | 4 |
| ben | 4 |
| bengal | 4 |
| benjamin | 4 |
| intelligent | 4 |
| bmtmi | 4 |
| bp2 | 4 |
| brennan | 4 |
| camacho | 4 |
| campbell | 4 |
| cancer | 4 |
| chander | 4 |
| charlie | 4 |
| china | 4 |
| coast | 4 |
| cognitive | 4 |
| collados | 4 |
| community | 4 |
| computation | 4 |
| institute | 4 |
| christopher | 4 |
| iq | 4 |
| short | 4 |
| problem | 4 |
| qt2mu | 4 |
| 4 | |
| remote | 4 |
| representation | 4 |
| richard | 4 |
| rithms | 4 |
| robotics | 4 |
| scientific | 4 |
| semantic | 4 |
| sensing | 4 |
| service | 4 |
| services | 4 |
| shanahan | 4 |
| springs | 4 |
| pilehvar | 4 |
| stanley | 4 |
| steamboat | 4 |
| street | 4 |
| symposium | 4 |
| t | 4 |
| third | 4 |
| transactions | 4 |
| united | 4 |
| video | 4 |
| white | 4 |
| year | 4 |
| zhang | 4 |
| ⇥ | 4 |
| iv | 4 |
| pixplot | 4 |
| x+bp | 4 |
| philosophy | 4 |
| matt | 4 |
| json | 4 |
| opportunities | 4 |
| k2 | 4 |
| kevin | 4 |
| kumar | 4 |
| kvn/ | 4 |
| lab | 4 |
| laura | 4 |
| lehman | 4 |
| liang | 4 |
| lucic | 4 |
| mahjoubi | 4 |
| mammography | 4 |
| mathscinet | 4 |
| keras | 4 |
| media | 4 |
| nelson | 4 |
| meeting | 4 |
| non- | 4 |
| ni2bi | 4 |
| nvidia | 4 |
| next | 4 |
| noble | 4 |
| mou | 4 |
| models | 4 |
| ml+x | 4 |
| mississippi | 4 |
| meng | 4 |
| moral | 4 |
| fulgeri | 3 |
| forbes | 3 |
| fox | 3 |
| framework | 3 |
| françois | 3 |
| gavin | 3 |
| gary | 3 |
| gen- | 3 |
| ghahramani | 3 |
| giles | 3 |
| gorithms | 3 |
| fiction | 3 |
| exploration | 3 |
| ffdqm`m | 3 |
| fashion | 3 |
| face | 3 |
| fabbri | 3 |
| f1 | 3 |
| evans | 3 |
| erik | 3 |
| enrich | 3 |
| engineering | 3 |
| endowment | 3 |
| empire | 3 |
| embeddings | 3 |
| griffey | 3 |
| elegy | 3 |
| grant | 3 |
| https://blogs.loc.gov/thesignal/2020/02/machine-learning-libraries-summit-event-summary-now-live/ | 3 |
| guide | 3 |
| https://towardsdatascience.com/why-deep-learning-is-needed-over-traditional-machine-learning-1b6a99177063 | 3 |
| drug | 3 |
| jean | 3 |
| janco | 3 |
| j.d. | 3 |
| island | 3 |
| isabel | 3 |
| integration | 3 |
| instruction | 3 |
| innovation | 3 |
| huang | 3 |
| https://www.weforum.org/whitepapers/how-to-prevent-discriminatory-outcomes-in-machine-learning | 3 |
| https://www.campaignlive.com/article/recognizing-exclusion-key-inclusive-design-conversation-kat-holmes/1488872 | 3 |
| https://proceedings.neurips.cc/paper/2014/file/5ca3e9b122f61f8f06494c97b1afccf3-paper.pdf | 3 |
| guzik | 3 |
| http://www.ala.org/tools/programming/onebook | 3 |
| http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf | 3 |
| hillbilly | 3 |
| high | 3 |
| hesburgh | 3 |
| heritage | 3 |
| helen | 3 |
| headings | 3 |
| head | 3 |
| hannah | 3 |
| hammer | 3 |
| h?mk | 3 |
| economic | 3 |
| black | 3 |
| don | 3 |
| aspuru | 3 |
| bibliographic | 3 |
| biases | 3 |
| bayes | 3 |
| based | 3 |
| banerjee | 3 |
| b2kq`; | 3 |
| b2ib | 3 |
| b2i | 3 |
| automl | 3 |
| austin | 3 |
| augmentation | 3 |
| augie | 3 |
| asilomar | 3 |
| bode | 3 |
| armstrong | 3 |
| applied | 3 |
| anthony | 3 |
| america | 3 |
| ahmed | 3 |
| agents | 3 |
| advanced | 3 |
| ac- | 3 |
| aaron | 3 |
| aaai | 3 |
| +v | 3 |
| joseph | 3 |
| blewer | 3 |
| bornstein | 3 |
| director | 3 |
| conclusion | 3 |
| di- | 3 |
| department | 3 |
| dempsey | 3 |
| deepfakes | 3 |
| de | 3 |
| dataset | 3 |
| database | 3 |
| da | 3 |
| cucchiara | 3 |
| critical | 3 |
| council | 3 |
| constance | 3 |
| coleman | 3 |
| boyd | 3 |
| christie | 3 |
| change | 3 |
| central | 3 |
| center | 3 |
| cation | 3 |
| catherine | 3 |
| cathcart | 3 |
| caplan | 3 |
| calo | 3 |
| calderara | 3 |
| bruno | 3 |
| brower | 3 |
| job_title | 3 |
| patterns | 3 |
| jun | 3 |
| simone | 3 |
| tang | 3 |
| taddy | 3 |
| support | 3 |
| suns | 3 |
| summary | 3 |
| sue | 3 |
| steven | 3 |
| speech | 3 |
| special | 3 |
| south | 3 |
| sojka | 3 |
| sinnott | 3 |
| schweikert | 3 |
| techniques | 3 |
| scholarship | 3 |
| sas | 3 |
| salton | 3 |
| safiya | 3 |
| s. | 3 |
| runway | 3 |
| ross | 3 |
| rights | 3 |
| reviews | 3 |
| retinanet | 3 |
| repositories | 3 |
| ren | 3 |
| teachable | 3 |
| tegmark | 3 |
| reader | 3 |
| washington | 3 |
| justice | 3 |
| zhu | 3 |
| zbmath | 3 |
| yin | 3 |
| yan | 3 |
| yale | 3 |
| wordnet | 3 |
| wolf | 3 |
| william | 3 |
| welling | 3 |
| weinberger | 3 |
| web | 3 |
| warmth | 3 |
| tesseract | 3 |
| war | 3 |
| wallach | 3 |
| w. | 3 |
| vincent | 3 |
| vance | 3 |
| van | 3 |
| user | 3 |
| underwood | 3 |
| tversky | 3 |
| trans- | 3 |
| tools | 3 |
| tolosana | 3 |
| recognizer | 3 |
| ward | 3 |
| rachel | 3 |
| literacy | 3 |
| mathematical | 3 |
| math- | 3 |
| math | 3 |
| mary | 3 |
| manning | 3 |
| management | 3 |
| mallet | 3 |
| machines | 3 |
| ma- | 3 |
| luis | 3 |
| long | 3 |
| loc | 3 |
| life | 3 |
| mccarthy | 3 |
| libby | 3 |
| levenshtein | 3 |
| lengeling | 3 |
| lee | 3 |
| kutuzov | 3 |
| kozlowski | 3 |
| koch | 3 |
| knowl- | 3 |
| keith | 3 |
| kaser | 3 |
| quickdraw | 3 |
| karl | 3 |
| mb7q`ku | 3 |
| lazer | 3 |
| medical | 3 |
| peng | 3 |
| q | 3 |
| memorandum | 3 |
| qingkai | 3 |
| psychological | 3 |
| proquest | 3 |
| professor | 3 |
| power | 3 |
| potts | 3 |
| pixel | 3 |
| pilot | 3 |
| phetteplace | 3 |
| perspective | 3 |
| practice | 3 |
| minnesota | 3 |
| norvig | 3 |
| michigan | 3 |
| metadata | 3 |
| minneapolis | 3 |
| mn/ | 3 |
| neu- | 3 |
| mf#`bm;bm;@ | 3 |
| oclc | 3 |
| office | 3 |
| other | 3 |
| passamaquoddy | 3 |
| h@b | 2 |
| h2x`2 | 2 |
| griffiths | 2 |
| gómez | 2 |
| gustavo | 2 |
| guidiotti | 2 |
| gui | 2 |
| guestrin | 2 |
| guerrero | 2 |
| gifford | 2 |
| gonen | 2 |
| graham | 2 |
| gpu | 2 |
| gonnerman | 2 |
| gibney | 2 |
| golub | 2 |
| goldstone | 2 |
| goldberg | 2 |
| hanahan | 2 |
| glam | 2 |
| h@hbi2` | 2 |
| hospedales | 2 |
| hardesty | 2 |
| hsu | 2 |
| http://www.image-net.org/challenges/lsvrc/ | 2 |
| http://www.jmlr.org/papers/v12/pedregosa11a.html | 2 |
| gerald | 2 |
| http://www.doj.state.or.us/wp-content/uploads/2017/08/mou_sample_guidelines.pdf | 2 |
| http://www.assemblee-nationale.fr/15/cri/2017-2018/20180137.asp | 2 |
| http://news.mit.edu/2019/mit-apollo-deepfake-art-installation-aims-to-empower-more-discerning-public-1125 | 2 |
| http://jmc.stanford.edu/articles/whatisai/whatisai.pdf | 2 |
| http://digitalhumanities.org/dhq/vol/9/2/000208/000208.html | 2 |
| http://creatingdata.us/datasets/hathi-features/ | 2 |
| hq#x;hq#u | 2 |
| harley | 2 |
| holmes | 2 |
| hochschild | 2 |
| hoane | 2 |
| heller | 2 |
| heffernan | 2 |
| heaven | 2 |
| haverford | 2 |
| hauser | 2 |
| harwell | 2 |
| giardina | 2 |
| fatal | 2 |
| generated | 2 |
| ethical | 2 |
| ferrucci | 2 |
| ferpa | 2 |
| farley | 2 |
| fall | 2 |
| experimental | 2 |
| examples | 2 |
| evolutionary | 2 |
| evidence | 2 |
| eu | 2 |
| ers | 2 |
| gener- | 2 |
| enlightenment | 2 |
| engram | 2 |
| engines | 2 |
| en- | 2 |
| emily | 2 |
| embed- | 2 |
| ema | 2 |
| http://www.people.virginia.edu/~jmu2m/kings.5-00/primitives.html | 2 |
| els | 2 |
| ff+qhh2+ibqmb | 2 |
| ff/?x/2t | 2 |
| ff;bi?m#x+qkf | 2 |
| ff`2 | 2 |
| gap | 2 |
| gandhi | 2 |
| gam | 2 |
| gagliano | 2 |
| frank | 2 |
| francisco | 2 |
| foundation | 2 |
| formulae | 2 |
| formalism | 2 |
| foot | 2 |
| floreano | 2 |
| firth | 2 |
| finkel | 2 |
| field | 2 |
| ffx#k | 2 |
| ffth | 2 |
| ffrrrxqt2mbi`22ik | 2 |
| ffrrrx/ | 2 |
| ffmhtxbi | 2 |
| http://www.openaccessweek.org/video/video/show?id=5385115%3avideo%3a90442 | 2 |
| https://www.theverge.com/2018/5/8/17332070/google-assistant-makes-phone-call-demo-duplex-io-2018 | 2 |
| https://acrl.ala.org/techconnect/post/reflections-on-code4lib-2018/ | 2 |
| https://www.wired.com/2014/10/future-of-artificial-intelligence/ | 2 |
| imagenet | 2 |
| illinois | 2 |
| i?x# | 2 |
| i?`qm | 2 |
| i? | 2 |
| huug | 2 |
| hutchings | 2 |
| https://xpmethod.plaintext.in/torn-apart/volume/2/ | 2 |
| https://www.wired.com/story/ai-biased-how-scientists-trying-fix/ | 2 |
| https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov | 2 |
| https://www.icrc.org/en/document/what-are-jus-ad-bellum-and-jus-bello-0 | 2 |
| education | 2 |
| https://www.sowetanlive.co.za/news/south-africa/2019-06-04-meet-libby-the-new-robot-library-assistant-at-the-university-of-pretorias-hatfield-campus/ | 2 |
| https://www.sas.com/en_us/insights/analytics/machine-learning.html | 2 |
| https://www.nyu.edu/tisch/preservation/program/student_work/2019spring/19s_thesis_schweikert.pdf | 2 |
| https://www.nytimes.com/2019/05/12/us/mined-minds-west-virginia-coding.html | 2 |
| https://www.nytimes.com/2018/10/25/arts/design/ai-art-sold-christies.html | 2 |
| https://www.nytimes.com/2018/09/21/opinion/sunday/silicon-valley-tech.html | 2 |
| https://www.ncbi.nlm.nih.gov/pmc/articles/pmc3317329 | 2 |
| https://www.microsoft.com/en-us/research/project/academic/articles/microsoft-academic-increases-power-semantic-search-adding-fields-study/ | 2 |
| impact | 2 |
| implications | 2 |
| increases | 2 |
| india | 2 |
| jenny | 2 |
| jeffrey | 2 |
| jeff | 2 |
| ject | 2 |
| jan | 2 |
| jakeway | 2 |
| jackson | 2 |
| j | 2 |
| iti | 2 |
| italian | 2 |
| isis | 2 |
| isaac | 2 |
| interface | 2 |
| interdisciplinary | 2 |
| interactive | 2 |
| inter- | 2 |
| intelli- | 2 |
| integrated | 2 |
| infor- | 2 |
| https://www.justice.gov/sites/default/files/ovw/legacy/2008/10/21/sample-mou.pdf | 2 |
| https://www.hollywoodreporter.com/behind-screen/rise-all-digital-actor-1229783 | 2 |
| https://acrlog.org/2013/04/06/acs-solutions-the-sturm-und-drang/ | 2 |
| https://devblogs.nvidia.com/explaining-deep-learning-self-driving-car/ | 2 |
| https://doi.org/10.1109/ieeeconf44664.2019.9049005 | 2 |
| https://doi.org/10.1109/cvpr.2019.00453 | 2 |
| https://doi.org/10.1109/avss.2017.8078521 | 2 |
| https://doi.org/10.1080/02691720701746540 | 2 |
| https://doi.org/10.1080/01639374.2019.1653413 | 2 |
| https://doi.org/10.1037/0033-295x.84.4.327 | 2 |
| https://doi.org/10.1007/s11831-019-09388-y | 2 |
| https://doi.org/10.1002/asi.23104 | 2 |
| https://dhdebates.gc.cuny.edu/read/untitled-f2acf72c-a469-49d8-be35-67f9ac1e3a60/section/620caf9f-08a8-485e-a496-51400296ebcd#ch19 | 2 |
| https://critinq.wordpress.com/2019/04/01/computational-literary-studies-participant-forum-responses/ | 2 |
| https://www.forbes.com/sites/tomtaulli/2019/08/04/bias-the-silent-killer-of-ai-artificial-intelligence/#1cc6f35d7d87 | 2 |
| https://critinq.wordpress.com/2019/04/01/computational-literary-studies-participant-forum-responses-5/ | 2 |
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| elgammal | 2 |
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