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2008.02217
Cited By
Hopfield Networks is All You Need
16 July 2020
Hubert Ramsauer
Bernhard Schafl
Johannes Lehner
Philipp Seidl
Michael Widrich
Thomas Adler
Lukas Gruber
Markus Holzleitner
Milena Pavlović
G. K. Sandve
Victor Greiff
David P. Kreil
Michael K Kopp
G. Klambauer
Johannes Brandstetter
Sepp Hochreiter
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Papers citing
"Hopfield Networks is All You Need"
33 / 33 papers shown
Title
Neural Pathways to Program Success: Hopfield Networks for PERT Analysis
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Binding threshold units with artificial oscillatory neurons
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Fast and Low-Cost Genomic Foundation Models via Outlier Removal
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Chenghao Qiu
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Zhihan Zhou
Zoe Mehta
Guo Ye
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AAML
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0
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Neural Learning Rules from Associative Networks Theory
Daniele Lotito
36
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11 Mar 2025
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Lowe
Andreas Geiger
Max Welling
AI4CE
55
6
0
17 Feb 2025
Key-value memory in the brain
Samuel J. Gershman
Ila Fiete
Kazuki Irie
29
7
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06 Jan 2025
Human-inspired Perspectives: A Survey on AI Long-term Memory
Zihong He
Weizhe Lin
Hao Zheng
Fan Zhang
Matt Jones
Laurence Aitchison
X. Xu
Miao Liu
Per Ola Kristensson
Junxiao Shen
57
2
0
01 Nov 2024
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
S. Batra
Gaurav Sukhatme
OffRL
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16
1
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09 Oct 2024
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
35
2
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09 Oct 2024
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks
A. Mali
Tommaso Salvatori
Alexander Ororbia
18
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0
07 Oct 2024
Associative memory and dead neurons
V. Fanaskov
Ivan V. Oseledets
23
1
0
02 Oct 2024
Relating Superconducting Optoelectronic Networks to Classical Neurodynamics
J. Shainline
Bryce Primavera
Ryan O'Loughlin
12
0
0
26 Sep 2024
Sequential Learning in the Dense Associative Memory
Hayden McAlister
Anthony Robins
Lech Szymanski
CLL
26
1
0
24 Sep 2024
Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains
Hugo Aguettaz
Hans-Andrea Loeliger
14
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0
02 Aug 2024
Empirical Capacity Model for Self-Attention Neural Networks
Aki Härmä
M. Pietrasik
Anna Wilbik
14
1
0
22 Jul 2024
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
Satoki Ishikawa
Makoto Yamada
Han Bao
Yuki Takezawa
40
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23 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Mohammad Azizmalayeri
Ameen Abu-Hanna
Giovanni Cina
OODD
20
1
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21 May 2024
Memory Mosaics
Jianyu Zhang
Niklas Nolte
Ranajoy Sadhukhan
Beidi Chen
Léon Bottou
VLM
23
3
0
10 May 2024
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
20
25
0
04 Apr 2024
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
Dennis Wu
Jerry Yao-Chieh Hu
Teng-Yun Hsiao
Han Liu
20
28
0
04 Apr 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
23
0
0
18 Mar 2024
Associative Transformer
Yuwei Sun
H. Ochiai
Zhirong Wu
Stephen Lin
Ryota Kanai
ViT
41
0
0
22 Sep 2023
Long Sequence Hopfield Memory
Hamza Tahir Chaudhry
Jacob A. Zavatone-Veth
Dmitry Krotov
C. Pehlevan
20
17
0
07 Jun 2023
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
Sotiris Anagnostidis
Dario Pavllo
Luca Biggio
Lorenzo Noci
Aurélien Lucchi
Thomas Hofmann
24
51
0
25 May 2023
Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature
Ana Claudia Akemi Matsuki de Faria
Felype de Castro Bastos
Jose Victor Nogueira Alves da Silva
Vitor Lopes Fabris
Valeska Uchôa
Décio Gonccalves de Aguiar Neto
C. F. G. Santos
23
22
0
18 May 2023
The Score-Difference Flow for Implicit Generative Modeling
Romann M. Weber
DiffM
6
2
0
25 Apr 2023
Sources of Richness and Ineffability for Phenomenally Conscious States
Xu Ji
Eric Elmoznino
George Deane
Axel Constant
G. Dumas
Guillaume Lajoie
Jonathan Simon
Yoshua Bengio
8
11
0
13 Feb 2023
Recent advances in artificial intelligence for retrosynthesis
Zipeng Zhong
Jie Song
Zunlei Feng
Tiantao Liu
Lingxiang Jia
Shaolun Yao
Tingjun Hou
Mingli Song
13
5
0
14 Jan 2023
Long Range Language Modeling via Gated State Spaces
Harsh Mehta
Ankit Gupta
Ashok Cutkosky
Behnam Neyshabur
Mamba
16
229
0
27 Jun 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Stephanie C. Y. Chan
Adam Santoro
Andrew Kyle Lampinen
Jane X. Wang
Aaditya K. Singh
Pierre Harvey Richemond
J. Mcclelland
Felix Hill
26
243
0
22 Apr 2022
Associative Memories via Predictive Coding
Tommaso Salvatori
Yuhang Song
Yujian Hong
Simon Frieder
Lei Sha
Zhenghua Xu
Rafal Bogacz
Thomas Lukasiewicz
8
60
0
16 Sep 2021
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
166
117
0
16 Jul 2020
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
142
760
0
30 Mar 2018
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