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On Sparse Modern Hopfield Model

On Sparse Modern Hopfield Model

22 September 2023
Jerry Yao-Chieh Hu
Donglin Yang
Dennis Wu
Chenwei Xu
Bo-Yu Chen
Han Liu
    VLM
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Papers citing "On Sparse Modern Hopfield Model"

24 / 24 papers shown
Title
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
Haozheng Luo
Chenghao Qiu
Maojiang Su
Zhihan Zhou
Zoe Mehta
Guo Ye
Jerry Yao-Chieh Hu
Han Liu
AAML
53
0
0
01 May 2025
PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity
PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity
Kwanyoung Kim
Byeongsu Sim
DiffM
VLM
50
0
0
10 Mar 2025
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
Yang Cao
Zhao-quan Song
Chiwun Yang
VGen
44
2
0
01 Feb 2025
Dense Associative Memory Through the Lens of Random Features
Dense Associative Memory Through the Lens of Random Features
Benjamin Hoover
Duen Horng Chau
Hendrik Strobelt
Parikshit Ram
Dmitry Krotov
BDL
41
5
0
31 Oct 2024
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bo Chen
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao-quan Song
77
18
0
15 Oct 2024
HSR-Enhanced Sparse Attention Acceleration
HSR-Enhanced Sparse Attention Acceleration
Bo Chen
Yingyu Liang
Zhizhou Sha
Zhenmei Shi
Zhao-quan Song
75
17
0
14 Oct 2024
Fine-grained Attention I/O Complexity: Comprehensive Analysis for
  Backward Passes
Fine-grained Attention I/O Complexity: Comprehensive Analysis for Backward Passes
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao-quan Song
Yufa Zhou
47
15
0
12 Oct 2024
Predictive Attractor Models
Predictive Attractor Models
R. Mounir
Sudeep Sarkar
16
0
0
03 Oct 2024
Do LLMs dream of elephants (when told not to)? Latent concept
  association and associative memory in transformers
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
Yibo Jiang
Goutham Rajendran
Pradeep Ravikumar
Bryon Aragam
CLL
KELM
26
6
0
26 Jun 2024
Decoupled Alignment for Robust Plug-and-Play Adaptation
Decoupled Alignment for Robust Plug-and-Play Adaptation
Haozheng Luo
Jiahao Yu
Wenxin Zhang
Jialong Li
Jerry Yao-Chieh Hu
Xingyu Xing
Han Liu
38
10
0
03 Jun 2024
Beyond Scaling Laws: Understanding Transformer Performance with
  Associative Memory
Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory
Xueyan Niu
Bo Bai
Lei Deng
Wei Han
28
6
0
14 May 2024
BiSHop: Bi-Directional Cellular Learning for Tabular Data with
  Generalized Sparse Modern Hopfield Model
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
Chenwei Xu
Yu-Chao Huang
Jerry Yao-Chieh Hu
Weijian Li
Ammar Gilani
H. Goan
Han Liu
37
19
0
04 Apr 2024
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Jerry Yao-Chieh Hu
Pei-Hsuan Chang
Haozheng Luo
Hong-Yu Chen
Weijian Li
Wei-Po Wang
Han Liu
31
25
0
04 Apr 2024
CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver
CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver
Zhenyu Pan
Ammar Gilani
En-Jui Kuo
Zhuo Liu
LRM
29
4
0
05 Mar 2024
Sparse and Structured Hopfield Networks
Sparse and Structured Hopfield Networks
Saul Santos
Vlad Niculae
Daniel McNamee
Andre F. T. Martins
23
4
0
21 Feb 2024
Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam
  Intensity Control in Mu2e
Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e
Chenwei Xu
Jerry Yao-Chieh Hu
A. Narayanan
M. Thieme
V. Nagaslaev
...
Rui Shi
S. Memik
A. Shuping
Kyle Hazelwood
Han Liu
11
2
0
28 Dec 2023
In-Context Exemplars as Clues to Retrieving from Large Associative
  Memory
In-Context Exemplars as Clues to Retrieving from Large Associative Memory
Jiachen Zhao
6
7
0
06 Nov 2023
The Closeness of In-Context Learning and Weight Shifting for Softmax
  Regression
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
Shuai Li
Zhao-quan Song
Yu Xia
Tong Yu
Tianyi Zhou
28
36
0
26 Apr 2023
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series
  Forecasting
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou
Ziqing Ma
Xue Wang
Qingsong Wen
Liang Sun
Tao Yao
Wotao Yin
Rong Jin
AI4TS
115
165
0
18 May 2022
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
Fei Tang
...
David P. Kreil
Michael K Kopp
G. Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLM
CLIP
190
101
0
21 Oct 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
161
3,799
0
14 Dec 2020
Open-Ended Multi-Modal Relational Reasoning for Video Question Answering
Open-Ended Multi-Modal Relational Reasoning for Video Question Answering
Haozheng Luo
Ruiyang Qin
Chenwei Xu
Guo Ye
Zening Luo
43
4
0
01 Dec 2020
Modern Hopfield Networks and Attention for Immune Repertoire
  Classification
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich
Bernhard Schafl
Hubert Ramsauer
Milena Pavlović
Lukas Gruber
...
Johannes Brandstetter
G. K. Sandve
Victor Greiff
Sepp Hochreiter
G. Klambauer
173
117
0
16 Jul 2020
Question Classification with Deep Contextualized Transformer
Question Classification with Deep Contextualized Transformer
Haozheng Luo
Ningwei Liu
Charles Feng
38
2
0
17 Oct 2019
1