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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"

50 / 101 papers shown
Title
Conditional DETR V2: Efficient Detection Transformer with Box Queries
Conditional DETR V2: Efficient Detection Transformer with Box Queries
Xiaokang Chen
Fangyun Wei
Gang Zeng
Jingdong Wang
ViT
30
33
0
18 Jul 2022
Pure Transformers are Powerful Graph Learners
Pure Transformers are Powerful Graph Learners
Jinwoo Kim
Tien Dat Nguyen
Seonwoo Min
Sungjun Cho
Moontae Lee
Honglak Lee
Seunghoon Hong
43
189
0
06 Jul 2022
Long Range Language Modeling via Gated State Spaces
Long Range Language Modeling via Gated State Spaces
Harsh Mehta
Ankit Gupta
Ashok Cutkosky
Behnam Neyshabur
Mamba
37
231
0
27 Jun 2022
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive
  Learning
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
Cheng Tan
Zhangyang Gao
Lirong Wu
Yongjie Xu
Jun-Xiong Xia
Siyuan Li
Stan Z. Li
46
107
0
24 Jun 2022
SimA: Simple Softmax-free Attention for Vision Transformers
SimA: Simple Softmax-free Attention for Vision Transformers
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
18
25
0
17 Jun 2022
Training Language Models with Memory Augmentation
Training Language Models with Memory Augmentation
Zexuan Zhong
Tao Lei
Danqi Chen
RALM
236
128
0
25 May 2022
Leveraging Locality in Abstractive Text Summarization
Leveraging Locality in Abstractive Text Summarization
Yixin Liu
Ansong Ni
Linyong Nan
Budhaditya Deb
Chenguang Zhu
Ahmed Hassan Awadallah
Dragomir R. Radev
30
18
0
25 May 2022
KERPLE: Kernelized Relative Positional Embedding for Length
  Extrapolation
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation
Ta-Chung Chi
Ting-Han Fan
Peter J. Ramadge
Alexander I. Rudnicky
41
65
0
20 May 2022
Twist Decoding: Diverse Generators Guide Each Other
Twist Decoding: Diverse Generators Guide Each Other
Jungo Kasai
Keisuke Sakaguchi
Ronan Le Bras
Hao Peng
Ximing Lu
Dragomir R. Radev
Yejin Choi
Noah A. Smith
SyDa
24
4
0
19 May 2022
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
Derya Soydaner
3DV
44
149
0
27 Apr 2022
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better
  than Dot-Product Self-Attention
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention
Tong Yu
Ruslan Khalitov
Lei Cheng
Zhirong Yang
MoE
27
10
0
22 Apr 2022
Malceiver: Perceiver with Hierarchical and Multi-modal Features for
  Android Malware Detection
Malceiver: Perceiver with Hierarchical and Multi-modal Features for Android Malware Detection
Niall McLaughlin
28
2
0
12 Apr 2022
A Call for Clarity in Beam Search: How It Works and When It Stops
A Call for Clarity in Beam Search: How It Works and When It Stops
Jungo Kasai
Keisuke Sakaguchi
Ronan Le Bras
Dragomir R. Radev
Yejin Choi
Noah A. Smith
26
6
0
11 Apr 2022
Linearizing Transformer with Key-Value Memory
Linearizing Transformer with Key-Value Memory
Yizhe Zhang
Deng Cai
20
5
0
23 Mar 2022
Block-Recurrent Transformers
Block-Recurrent Transformers
DeLesley S. Hutchins
Imanol Schlag
Yuhuai Wu
Ethan Dyer
Behnam Neyshabur
23
94
0
11 Mar 2022
Transformer Quality in Linear Time
Transformer Quality in Linear Time
Weizhe Hua
Zihang Dai
Hanxiao Liu
Quoc V. Le
78
222
0
21 Feb 2022
cosFormer: Rethinking Softmax in Attention
cosFormer: Rethinking Softmax in Attention
Zhen Qin
Weixuan Sun
Huicai Deng
Dongxu Li
Yunshen Wei
Baohong Lv
Junjie Yan
Lingpeng Kong
Yiran Zhong
24
212
0
17 Feb 2022
General-purpose, long-context autoregressive modeling with Perceiver AR
General-purpose, long-context autoregressive modeling with Perceiver AR
Curtis Hawthorne
Andrew Jaegle
Cătălina Cangea
Sebastian Borgeaud
C. Nash
...
Hannah R. Sheahan
Neil Zeghidour
Jean-Baptiste Alayrac
João Carreira
Jesse Engel
43
65
0
15 Feb 2022
Flowformer: Linearizing Transformers with Conservation Flows
Flowformer: Linearizing Transformers with Conservation Flows
Haixu Wu
Jialong Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
14
90
0
13 Feb 2022
The Dual Form of Neural Networks Revisited: Connecting Test Time
  Predictions to Training Patterns via Spotlights of Attention
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention
Kazuki Irie
Róbert Csordás
Jürgen Schmidhuber
14
42
0
11 Feb 2022
SCROLLS: Standardized CompaRison Over Long Language Sequences
SCROLLS: Standardized CompaRison Over Long Language Sequences
Uri Shaham
Elad Segal
Maor Ivgi
Avia Efrat
Ori Yoran
...
Ankit Gupta
Wenhan Xiong
Mor Geva
Jonathan Berant
Omer Levy
RALM
37
133
0
10 Jan 2022
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
32
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
25
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
31
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
18
161
0
22 Oct 2021
Transformer Acceleration with Dynamic Sparse Attention
Transformer Acceleration with Dynamic Sparse Attention
Liu Liu
Zheng Qu
Zhaodong Chen
Yufei Ding
Yuan Xie
19
20
0
21 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
76
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
26
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
21
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
32
4
0
08 Sep 2021
PermuteFormer: Efficient Relative Position Encoding for Long Sequences
PermuteFormer: Efficient Relative Position Encoding for Long Sequences
Peng-Jen Chen
33
21
0
06 Sep 2021
Combiner: Full Attention Transformer with Sparse Computation Cost
Combiner: Full Attention Transformer with Sparse Computation Cost
Hongyu Ren
H. Dai
Zihang Dai
Mengjiao Yang
J. Leskovec
Dale Schuurmans
Bo Dai
78
77
0
12 Jul 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
40
815
0
14 Jun 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Kazuki Irie
Imanol Schlag
Róbert Csordás
Jürgen Schmidhuber
33
57
0
11 Jun 2021
A Survey of Transformers
A Survey of Transformers
Tianyang Lin
Yuxin Wang
Xiangyang Liu
Xipeng Qiu
ViT
41
1,088
0
08 Jun 2021
Choose a Transformer: Fourier or Galerkin
Choose a Transformer: Fourier or Galerkin
Shuhao Cao
42
225
0
31 May 2021
FNet: Mixing Tokens with Fourier Transforms
FNet: Mixing Tokens with Fourier Transforms
James Lee-Thorp
Joshua Ainslie
Ilya Eckstein
Santiago Ontanon
26
517
0
09 May 2021
Scalable Vision Transformers with Hierarchical Pooling
Scalable Vision Transformers with Hierarchical Pooling
Zizheng Pan
Bohan Zhuang
Jing Liu
Haoyu He
Jianfei Cai
ViT
27
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
36
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
82
973
0
04 Mar 2021
Linear Transformers Are Secretly Fast Weight Programmers
Linear Transformers Are Secretly Fast Weight Programmers
Imanol Schlag
Kazuki Irie
Jürgen Schmidhuber
34
224
0
22 Feb 2021
Formal Language Theory Meets Modern NLP
Formal Language Theory Meets Modern NLP
William Merrill
AI4CE
NAI
16
12
0
19 Feb 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
227
2,430
0
04 Jan 2021
Reservoir Transformers
Reservoir Transformers
Sheng Shen
Alexei Baevski
Ari S. Morcos
Kurt Keutzer
Michael Auli
Douwe Kiela
35
17
0
30 Dec 2020
Efficient Transformers: A Survey
Efficient Transformers: A Survey
Yi Tay
Mostafa Dehghani
Dara Bahri
Donald Metzler
VLM
106
1,102
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
285
2,015
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
35
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
44
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
246
580
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
233
576
0
12 Sep 2019
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