Transformer Vs. MLP-Mixer: Exponential Expressive Gap For NLP Problems

17 August 2022

Papers citing "Transformer Vs. MLP-Mixer: Exponential Expressive Gap For NLP Problems"

30 / 30 papers shown

Title
DaViT: Dual Attention Vision Transformers Mingyu Ding Bin Xiao Noel Codella Ping Luo Jingdong Wang Lu Yuan ViT 90 248 0 07 Apr 2022
MaxViT: Multi-Axis Vision Transformer Zhengzhong Tu Hossein Talebi Han Zhang Feng Yang P. Milanfar A. Bovik Yinxiao Li ViT 97 649 0 04 Apr 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 108 953 1 10 Mar 2022
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design Yoav Levine Noam Wies Daniel Jannai D. Navon Yedid Hoshen Amnon Shashua AI4CE 55 36 0 09 Oct 2021
Hire-MLP: Vision MLP via Hierarchical Rearrangement Jianyuan Guo Yehui Tang Kai Han Xinghao Chen Han Wu Chao Xu Chang Xu Yunhe Wang 70 105 0 30 Aug 2021
AS-MLP: An Axial Shifted MLP Architecture for Vision Dongze Lian Zehao Yu Xing Sun Shenghua Gao 104 189 0 18 Jul 2021
PVT v2: Improved Baselines with Pyramid Vision Transformer Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT AI4TS 83 1,634 0 25 Jun 2021
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition Qibin Hou Zihang Jiang Li-xin Yuan Mingg-Ming Cheng Shuicheng Yan Jiashi Feng ViT MLLM 97 206 0 23 Jun 2021
S $^2$ -MLP: Spatial-Shift MLP Architecture for Vision Tan Yu Xu Li Yunfeng Cai Mingming Sun Ping Li 59 187 0 14 Jun 2021
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention Noam Wies Yoav Levine Daniel Jannai Amnon Shashua 62 20 0 09 May 2021
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 381 2,638 0 04 May 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers Xiangxiang Chu Zhi Tian Yuqing Wang Bo Zhang Haibing Ren Xiaolin K. Wei Huaxia Xia Chunhua Shen ViT 48 1,006 0 28 Apr 2021
Rethinking Spatial Dimensions of Vision Transformers Byeongho Heo Sangdoo Yun Dongyoon Han Sanghyuk Chun Junsuk Choe Seong Joon Oh ViT 475 573 0 30 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 330 21,175 0 25 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 681 28,659 0 26 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 403 40,217 0 22 Oct 2020
The Depth-to-Width Interplay in Self-Attention Yoav Levine Noam Wies Or Sharir Hofit Bata Amnon Shashua 47 46 0 22 Jun 2020
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers Zhuohan Li Eric Wallace Sheng Shen Kevin Lin Kurt Keutzer Dan Klein Joseph E. Gonzalez 83 150 0 26 Feb 2020
Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem Vaggos Chatziafratis Sai Ganesh Nagarajan Ioannis Panageas Tianlin Li 34 21 0 09 Dec 2019
Deformable ConvNets v2: More Deformable, Better Results Xizhou Zhu Han Hu Stephen Lin Jifeng Dai ObjD 83 1,998 0 27 Nov 2018
On the Long-Term Memory of Deep Recurrent Networks Yoav Levine Or Sharir Alon Ziv Amnon Shashua 36 24 0 25 Oct 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 110 2,386 0 10 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 453 129,831 0 12 Jun 2017
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions Nadav Cohen Or Sharir Yoav Levine Ronen Tamari David Yakira Amnon Shashua 93 38 0 05 May 2017
Deformable Convolutional Networks Jifeng Dai Haozhi Qi Yuwen Xiong Yi Li Guodong Zhang Han Hu Yichen Wei 188 5,291 0 17 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 435 10,281 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 631 36,599 0 25 Aug 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 268 7,951 0 23 May 2016
Inductive Bias of Deep Convolutional Networks through Pooling Geometry Nadav Cohen Amnon Shashua 36 132 0 22 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015