Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2007.14902
Cited By
v1
v2
v3 (latest)
Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation
29 July 2020
Rui Li
Jianlin Su
Chenxi Duan
Shunyi Zheng
3DV
Re-assign community
ArXiv (abs)
PDF
HTML
Github (53★)
Papers citing
"Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation"
15 / 15 papers shown
Task Vectors, Learned Not Extracted: Performance Gains and Mechanistic Insight
Haolin Yang
Hakaze Cho
Kaize Ding
Naoya Inoue
262
0
0
29 Sep 2025
Leveraging Natural Language Processing to Unravel the Mystery of Life: A Review of NLP Approaches in Genomics, Transcriptomics, and Proteomics
Ella Rannon
David Burstein
AI4TS
236
2
0
02 Jun 2025
Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks
Mohsen Dehghankar
Abolfazl Asudeh
308
1
0
30 Nov 2024
EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment
International Conference on Learning Representations (ICLR), 2024
Yifei Xing
Xiangyuan Lan
Ruiping Wang
Shihong Deng
Wenjun Huang
Qingfang Zheng
Yaowei Wang
Mamba
332
2
0
08 Oct 2024
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
International Conference on Machine Learning (ICML), 2024
Junnan Liu
Qianren Mao
Weifeng Jiang
Jianxin Li
261
6
0
19 Sep 2024
An alternative formulation of attention pooling function in translation
Eddie Conti
159
1
0
23 Aug 2024
DeMansia: Mamba Never Forgets Any Tokens
Ricky Fang
Mamba
239
0
0
04 Aug 2024
Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study
Prottay Kumar Adhikary
Aseem Srivastava
Shivani Kumar
Salam Michael Singh
Puneet Manuja
Jini K. Gopinath
Vijay Krishnan
Swati Kedia
K. Deb
Tanmoy Chakraborty
AI4MH
359
28
0
29 Feb 2024
Theoretical Understanding of In-Context Learning in Shallow Transformers with Unstructured Data
Yue Xing
Xiaofeng Lin
Chenheng Xu
Namjoon Suh
Qifan Song
Guang Cheng
281
4
0
01 Feb 2024
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
International Conference on Machine Learning (ICML), 2023
Victor Boutin
Thomas Fel
Lakshya Singhal
Rishav Mukherji
Akash Nagaraj
Julien Colin
Thomas Serre
DiffM
348
13
0
27 Jan 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
International Conference on Machine Learning (ICML), 2023
Khai Nguyen
Dang Nguyen
N. Ho
206
9
0
12 Jan 2023
FsaNet: Frequency Self-attention for Semantic Segmentation
IEEE Transactions on Image Processing (IEEE TIP), 2022
Fengyu Zhang
Ashkan Panahi
Guangjun Gao
AI4TS
309
53
0
28 Nov 2022
FAR: Fourier Aerial Video Recognition
European Conference on Computer Vision (ECCV), 2022
D. Kothandaraman
Tianrui Guan
Xijun Wang
Sean Hu
Ming-Shun Lin
Tianyi Zhou
320
20
0
21 Mar 2022
Multiscale Vision Transformers
IEEE International Conference on Computer Vision (ICCV), 2021
Haoqi Fan
Bo Xiong
K. Mangalam
Yanghao Li
Zhicheng Yan
Jitendra Malik
Christoph Feichtenhofer
ViT
595
1,578
0
22 Apr 2021
Sub-Linear Memory: How to Make Performers SLiM
Neural Information Processing Systems (NeurIPS), 2020
Valerii Likhosherstov
K. Choromanski
Jared Davis
Xingyou Song
Adrian Weller
327
24
0
21 Dec 2020
1
Page 1 of 1