%0 Conference Paper %1 conf/icml/HawthorneJCBNMD22 %A Hawthorne, Curtis %A Jaegle, Andrew %A Cangea, Catalina %A Borgeaud, Sebastian %A Nash, Charlie %A Malinowski, Mateusz %A Dieleman, Sander %A Vinyals, Oriol %A Botvinick, Matthew M. %A Simon, Ian %A Sheahan, Hannah %A Zeghidour, Neil %A Alayrac, Jean-Baptiste %A Carreira, João %A Engel, Jesse H. %B ICML %D 2022 %E Chaudhuri, Kamalika %E Jegelka, Stefanie %E Song, Le %E Szepesvári, Csaba %E Niu, Gang %E Sabato, Sivan %I PMLR %K dblp %P 8535-8558 %T General-purpose, long-context autoregressive modeling with Perceiver AR. %U http://dblp.uni-trier.de/db/conf/icml/icml2022.html#HawthorneJCBNMD22 %V 162

@inproceedings{conf/icml/HawthorneJCBNMD22, added-at = {2024-05-13T00:00:00.000+0200}, author = {Hawthorne, Curtis and Jaegle, Andrew and Cangea, Catalina and Borgeaud, Sebastian and Nash, Charlie and Malinowski, Mateusz and Dieleman, Sander and Vinyals, Oriol and Botvinick, Matthew M. and Simon, Ian and Sheahan, Hannah and Zeghidour, Neil and Alayrac, Jean-Baptiste and Carreira, João and Engel, Jesse H.}, biburl = {https://www.bibsonomy.org/bibtex/2a494b4c5c6f1265edd8f94da4734ec9e/dblp}, booktitle = {ICML}, crossref = {conf/icml/2022}, editor = {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvári, Csaba and Niu, Gang and Sabato, Sivan}, ee = {https://proceedings.mlr.press/v162/hawthorne22a.html}, interhash = {1f138aff50cce8c808bd99386239eba1}, intrahash = {a494b4c5c6f1265edd8f94da4734ec9e}, keywords = {dblp}, pages = {8535-8558}, publisher = {PMLR}, series = {Proceedings of Machine Learning Research}, timestamp = {2024-05-20T07:24:04.000+0200}, title = {General-purpose, long-context autoregressive modeling with Perceiver AR.}, url = {http://dblp.uni-trier.de/db/conf/icml/icml2022.html#HawthorneJCBNMD22}, volume = 162, year = 2022 }