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2202.04557
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Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
International Conference on Machine Learning (ICML), 2022
9 February 2022
Beren Millidge
Tommaso Salvatori
Yuhang Song
Thomas Lukasiewicz
Rafal Bogacz
VLM
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Papers citing
"Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models"
39 / 39 papers shown
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
Susmit Agrawal
Krishn Vishwas Kher
Saksham Mittal
Swarnim Maheshwari
Vineeth N. Balasubramanian
CLL
202
1
0
30 Nov 2025
Adaptive Hopfield Network: Rethinking Similarities in Associative Memory
Shurong Wang
Yuqi Pan
Zhuoyang Shen
Meng Zhang
Hongwei Wang
Guoqi Li
154
0
0
25 Nov 2025
On the Role of Hidden States of Modern Hopfield Network in Transformer
Tsubasa Masumura
Masato Taki
196
1
0
24 Nov 2025
Fast weight programming and linear transformers: from machine learning to neurobiology
Kazuki Irie
Samuel J. Gershman
283
3
0
11 Aug 2025
Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving
Expert systems with applications (ESWA), 2025
Xiaoshan Zhou
Carol Menassa
V. Kamat
233
6
0
14 Apr 2025
A General Close-loop Predictive Coding Framework for Auditory Working Memory
Zhongju Yuan
Geraint Wiggins
Dick Botteldooren
293
0
0
16 Mar 2025
Key-value memory in the brain
Neuron (Neuron), 2025
Samuel J. Gershman
Ila Fiete
Kazuki Irie
437
30
0
06 Jan 2025
AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Jaehyun Choi
Junwon Ko
Dong-Jae Lee
Junmo Kim
VLM
333
2
0
03 Dec 2024
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
Neural Information Processing Systems (NeurIPS), 2024
Yunzhe Hu
Difan Zou
Dong Xu
421
4
0
26 Nov 2024
Dense Associative Memory Through the Lens of Random Features
Neural Information Processing Systems (NeurIPS), 2024
Benjamin Hoover
Duen Horng Chau
Hendrik Strobelt
Parikshit Ram
Dmitry Krotov
BDL
255
14
0
31 Oct 2024
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
Sumeet Batra
Gaurav Sukhatme
OffRL
DRL
343
4
0
09 Oct 2024
Predictive Attractor Models
Neural Information Processing Systems (NeurIPS), 2024
R. Mounir
Sudeep Sarkar
193
0
0
03 Oct 2024
Associative memory and dead neurons
International Conference on Learning Representations (ICLR), 2024
V. Fanaskov
Ivan Oseledets
432
1
0
02 Oct 2024
Modern Hopfield Networks meet Encoded Neural Representations -- Addressing Practical Considerations
Satyananda Kashyap
N. S. D'Souza
Luyao Shi
Ken C. L. Wong
Hongzhi Wang
Tanveer Syeda-Mahmood
245
1
0
24 Sep 2024
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?
Peter Hase
Thomas Hofweber
Xiang Zhou
Elias Stengel-Eskin
Joey Tianyi Zhou
KELM
LRM
372
27
0
27 Jun 2024
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
331
14
0
26 Jun 2024
Hierarchical Associative Memory, Parallelized MLP-Mixer, and Symmetry Breaking
Ryo Karakida
Toshihiro Ota
Masato Taki
245
3
0
18 Jun 2024
Bayesian Theory of Consciousness as Exchangeable Emotion-Cognition Inference
Xin Li
332
0
0
17 May 2024
Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory
Xueyan Niu
Bo Bai
Lei Deng
Wei Han
275
14
0
14 May 2024
Semantically-correlated memories in a dense associative model
International Conference on Machine Learning (ICML), 2024
Thomas F Burns
400
8
0
10 Apr 2024
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
Dennis Wu
Jerry Yao-Chieh Hu
Teng-Yun Hsiao
Han Liu
488
44
0
04 Apr 2024
Sparse and Structured Hopfield Networks
Saul Santos
Vlad Niculae
Daniel McNamee
Andre F. T. Martins
306
12
0
21 Feb 2024
Associative Memories in the Feature Space
Tommaso Salvatori
Beren Millidge
Yuhang Song
Rafal Bogacz
Thomas Lukasiewicz
350
2
0
16 Feb 2024
Bridging Associative Memory and Probabilistic Modeling
Rylan Schaeffer
Nika Zahedi
Mikail Khona
Dhruv Pai
Sang T. Truong
...
Sarthak Chandra
Andres Carranza
Ila Rani Fiete
Andrey Gromov
Oluwasanmi Koyejo
DiffM
331
4
0
15 Feb 2024
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
International Conference on Learning Representations (ICLR), 2023
Dennis Wu
Jerry Yao-Chieh Hu
Weijian Li
Bo-Yu Chen
Han Liu
AI4TS
287
39
0
28 Dec 2023
In-Context Exemplars as Clues to Retrieving from Large Associative Memory
Jiachen Zhao
371
15
0
06 Nov 2023
Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative Memories and Diffusion Models
Benjamin Hoover
Hendrik Strobelt
Dmitry Krotov
Judy Hoffman
Z. Kira
Duen Horng Chau
DiffM
353
9
0
28 Sep 2023
On Sparse Modern Hopfield Model
Neural Information Processing Systems (NeurIPS), 2023
Jerry Yao-Chieh Hu
Donglin Yang
Dennis Wu
Chenwei Xu
Bo-Yu Chen
Han Liu
VLM
310
43
0
22 Sep 2023
Neural Network Layer Matrix Decomposition reveals Latent Manifold Encoding and Memory Capacity
Ng Shyh‐Chang
A-Li Luo
Bo Qiu
143
0
0
12 Sep 2023
A Sparse Quantized Hopfield Network for Online-Continual Memory
Nature Communications (Nat. Commun.), 2023
Nick Alonso
J. Krichmar
294
17
0
27 Jul 2023
End-to-end Differentiable Clustering with Associative Memories
International Conference on Machine Learning (ICML), 2023
Bishwajit Saha
Dmitry Krotov
Mohammed J Zaki
Parikshit Ram
270
14
0
05 Jun 2023
Sequential Memory with Temporal Predictive Coding
Neural Information Processing Systems (NeurIPS), 2023
Mufeng Tang
Helen C. Barron
Rafal Bogacz
268
26
0
19 May 2023
Simplicial Hopfield networks
International Conference on Learning Representations (ICLR), 2023
Thomas F Burns
T. Fukai
221
23
0
09 May 2023
Competitive learning to generate sparse representations for associative memory
Neural Networks (Neural Netw.), 2023
Luis Sa-Couto
Andreas Wichert
292
9
0
05 Jan 2023
Learning to Control Rapidly Changing Synaptic Connections: An Alternative Type of Memory in Sequence Processing Artificial Neural Networks
Kazuki Irie
Jürgen Schmidhuber
KELM
221
2
0
17 Nov 2022
In-memory factorization of holographic perceptual representations
Nature Nanotechnology (Nat. Nanotechnol.), 2022
Jovin Langenegger
G. Karunaratne
Michael Hersche
Luca Benini
Abu Sebastian
Abbas Rahimi
286
37
0
09 Nov 2022
On the Relationship Between Variational Inference and Auto-Associative Memory
Neural Information Processing Systems (NeurIPS), 2022
Louis Annabi
Alexandre Pitti
M. Quoy
BDL
272
9
0
14 Oct 2022
Kernel Memory Networks: A Unifying Framework for Memory Modeling
Neural Information Processing Systems (NeurIPS), 2022
Georgios Iatropoulos
Johanni Brea
W. Gerstner
353
14
0
19 Aug 2022
BayesPCN: A Continually Learnable Predictive Coding Associative Memory
Neural Information Processing Systems (NeurIPS), 2022
Jason Yoo
F. Wood
KELM
537
15
0
20 May 2022
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