What comes after transformers? -- A selective survey connecting ideas in deep learning

1 August 2024

Papers citing "What comes after transformers? -- A selective survey connecting ideas in deep learning"

6 / 6 papers shown

Title
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks Subbarao Kambhampati Karthik Valmeekam L. Guan Mudit Verma Kaya Stechly Siddhant Bhambri Lucas Saldyt Anil Murthy LRM 92 111 0 02 Feb 2024
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 384 12,081 0 04 Mar 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 298 2,611 0 04 May 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 230 2,434 0 04 Jan 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 312 10,233 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 333 36,420 0 25 Aug 2016