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Random Feature Attention

Random Feature Attention

3 March 2021
Hao Peng
Nikolaos Pappas
Dani Yogatama
Roy Schwartz
Noah A. Smith
Lingpeng Kong
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Papers citing "Random Feature Attention"

20 / 70 papers shown
Title
Low-Rank Constraints for Fast Inference in Structured Models
Low-Rank Constraints for Fast Inference in Structured Models
Justin T. Chiu
Yuntian Deng
Alexander M. Rush
BDL
11
13
0
08 Jan 2022
Classification of Long Sequential Data using Circular Dilated
  Convolutional Neural Networks
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Lei Cheng
Ruslan Khalitov
Tong Yu
Zhirong Yang
20
32
0
06 Jan 2022
LongT5: Efficient Text-To-Text Transformer for Long Sequences
LongT5: Efficient Text-To-Text Transformer for Long Sequences
Mandy Guo
Joshua Ainslie
David C. Uthus
Santiago Ontanon
Jianmo Ni
Yun-hsuan Sung
Yinfei Yang
VLM
29
307
0
15 Dec 2021
SOFT: Softmax-free Transformer with Linear Complexity
SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu
Jinghan Yao
Junge Zhang
Martin Danelljan
Hang Xu
Weiguo Gao
Chunjing Xu
Thomas B. Schon
Li Zhang
16
161
0
22 Oct 2021
Token Pooling in Vision Transformers
Token Pooling in Vision Transformers
D. Marin
Jen-Hao Rick Chang
Anurag Ranjan
Anish K. Prabhu
Mohammad Rastegari
Oncel Tuzel
ViT
65
66
0
08 Oct 2021
Ripple Attention for Visual Perception with Sub-quadratic Complexity
Ripple Attention for Visual Perception with Sub-quadratic Complexity
Lin Zheng
Huijie Pan
Lingpeng Kong
19
3
0
06 Oct 2021
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19
  Spike Sequences
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
Sarwan Ali
M. Patterson
16
46
0
12 Sep 2021
What's Hidden in a One-layer Randomly Weighted Transformer?
What's Hidden in a One-layer Randomly Weighted Transformer?
Sheng Shen
Z. Yao
Douwe Kiela
Kurt Keutzer
Michael W. Mahoney
17
4
0
08 Sep 2021
Pre-Trained Models: Past, Present and Future
Pre-Trained Models: Past, Present and Future
Xu Han
Zhengyan Zhang
Ning Ding
Yuxian Gu
Xiao Liu
...
Jie Tang
Ji-Rong Wen
Jinhui Yuan
Wayne Xin Zhao
Jun Zhu
AIFin
MQ
AI4MH
24
807
0
14 Jun 2021
Scalable Vision Transformers with Hierarchical Pooling
Scalable Vision Transformers with Hierarchical Pooling
Zizheng Pan
Bohan Zhuang
Jing Liu
Haoyu He
Jianfei Cai
ViT
20
126
0
19 Mar 2021
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language
  Representation
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
J. Clark
Dan Garrette
Iulia Turc
John Wieting
13
210
0
11 Mar 2021
Perceiver: General Perception with Iterative Attention
Perceiver: General Perception with Iterative Attention
Andrew Jaegle
Felix Gimeno
Andrew Brock
Andrew Zisserman
Oriol Vinyals
João Carreira
VLM
ViT
MDE
48
972
0
04 Mar 2021
Formal Language Theory Meets Modern NLP
Formal Language Theory Meets Modern NLP
William Merrill
AI4CE
NAI
14
12
0
19 Feb 2021
Efficient Transformers: A Survey
Efficient Transformers: A Survey
Yi Tay
Mostafa Dehghani
Dara Bahri
Donald Metzler
VLM
63
1,097
0
14 Sep 2020
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
249
2,009
0
28 Jul 2020
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine
  Translation
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation
Jungo Kasai
Nikolaos Pappas
Hao Peng
James Cross
Noah A. Smith
23
134
0
18 Jun 2020
Random Features for Kernel Approximation: A Survey on Algorithms,
  Theory, and Beyond
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
BDL
11
172
0
23 Apr 2020
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
238
578
0
12 Mar 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Sheng Shen
Zhen Dong
Jiayu Ye
Linjian Ma
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
225
574
0
12 Sep 2019
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
48
185
0
14 Nov 2017
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