{"id":22820,"date":"2024-05-28T11:56:41","date_gmt":"2024-05-28T11:56:41","guid":{"rendered":"https:\/\/ideas-ncbr.pl\/?p=22820"},"modified":"2024-09-24T08:56:12","modified_gmt":"2024-09-24T08:56:12","slug":"back-from-iclr-2024","status":"publish","type":"post","link":"https:\/\/ideas-ncbr.pl\/en\/back-from-iclr-2024\/","title":{"rendered":"Back from ICLR 2024"},"content":{"rendered":"\n
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At ICLR, there were four papers co-authored by IDEAS NCBR researchers:<\/p>\n\n\n\n

Divide and not forget: Ensemble of selectively trained experts in Continual Learning<\/strong><\/p>\n\n\n\n

Grzegorz Rype\u015b\u0107, Sebastian Cygert, Valeriya Khan, Tomasz Trzci\u0144ski, Bartosz Zieli\u0144ski, Bart\u0142omiej Twardowski (all IDEAS NCBR)<\/p>\n\n\n\n

https:\/\/arxiv.org\/abs\/2401.10191<\/a><\/p>\n\n\n\n

Magnushammer: A Transformer-Based Approach to Premise Selection<\/strong><\/p>\n\n\n\n

Maciej Miku\u0142a, Szymon Antoniak (IDEAS NCBR), Szymon Tworkowski, Bartosz Piotrowski (IDEAS NCBR), Albert Jiang, Jin Peng Zhou, Christian Szegedy, \u0141ukasz Kuci\u0144ski (IDEAS NCBR), Piotr Mi\u0142o\u015b (IDEAS NCBR), Yuhuai Wu<\/p>\n\n\n\n

https:\/\/arxiv.org\/abs\/2303.04488<\/a><\/p>\n\n\n\n

MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts<\/strong><\/p>\n\n\n\n

Maciej Pi\u00f3ro, Kamil Ciebiera, Krystian Kr\u00f3l, Jan Ludziejewski, Micha\u0142 Krutul, Jakub Krajewski (all IDEAS NCBR), Szymon Antoniak, Piotr Mi\u0142o\u015b (IDEAS NCBR), Marek Cygan, Sebastian Jaszczur (IDEAS NCBR)<\/p>\n\n\n\n

https:\/\/arxiv.org\/abs\/2401.04081<\/a><\/p>\n\n\n\n

Discovering modular solutions that generalize compositionally<\/strong><\/p>\n\n\n\n

Simon Schug, Seijin Kobayashi, Yassir Akram, Maciej Wo\u0142czyk (IDEAS NCBR), Alexandra Proca, Johannes von Oswald, Razvan Pascanu, Jo\u00e3o Sacramento, Angelika Steger<\/p>\n\n\n\n

https:\/\/arxiv.org\/abs\/2312.15001<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Our researchers returned from ICLR red carpets in Vienna, having met colleagues from CVC Barcelona, Stanford, Riken Institute (Japan), MIT, Oxford, Cambridge and much more. Although the community was fairly cautious in anticipating the arrival of AGI, Yoshua Bengio, one of fathers of AI explained that researchers should double our efforts on AI safety, as AGI can happen any day from now.<\/p>\n","protected":false},"author":27,"featured_media":22830,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[1],"tags":[],"class_list":["post-22820","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bez-kategorii"],"acf":[],"_links":{"self":[{"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/posts\/22820","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/users\/27"}],"replies":[{"embeddable":true,"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/comments?post=22820"}],"version-history":[{"count":4,"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/posts\/22820\/revisions"}],"predecessor-version":[{"id":23825,"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/posts\/22820\/revisions\/23825"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/media\/22830"}],"wp:attachment":[{"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/media?parent=22820"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/categories?post=22820"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/tags?post=22820"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}