Dense Associative Memory for Pattern Recognition

3 June 2016

Papers citing "Dense Associative Memory for Pattern Recognition"

50 / 63 papers shown

Title
Exact Spin Elimination in Ising Hamiltonians and Energy-Based Machine Learning Natalia G. Berloff 33 0 0 12 May 2025
Neural Pathways to Program Success: Hopfield Networks for PERT Analysis Azgar Ali Noor Ahamed 48 0 0 08 May 2025
Binding threshold units with artificial oscillatory neurons V. Fanaskov Ivan Oseledets 62 0 0 06 May 2025
Neural Learning Rules from Associative Networks Theory Daniele Lotito 48 0 0 11 Mar 2025
A Fokker-Planck-Based Loss Function that Bridges Dynamics with Density Estimation Zhixin Lu Łukasz Kuśmierz Stefan Mihalas 70 0 0 24 Feb 2025
Hyperspherical Energy Transformer with Recurrent Depth Yunzhe Hu Difan Zou Dong Xu 53 0 0 17 Feb 2025
Key-value memory in the brain Samuel J. Gershman Ila Fiete Kazuki Irie 34 7 0 06 Jan 2025
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation Sumeet Batra Gaurav Sukhatme OffRL DRL 38 2 0 09 Oct 2024
Associative memory and dead neurons V. Fanaskov Ivan Oseledets 54 1 0 02 Oct 2024
Sequential Learning in the Dense Associative Memory Hayden McAlister Anthony Robins Lech Szymanski CLL 228 1 0 24 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 72 3 0 18 Sep 2024
Predictive Coding Networks and Inference Learning: Tutorial and Survey B. V. Zwol Ro Jefferson E. V. D. Broek 63 0 0 04 Jul 2024
Entropic associative memory for real world images Noé Hernández Rafael Morales L. A. Pineda 65 0 0 21 May 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann Simon Schmid Bernhard Lehner Daniel Klotz Sepp Hochreiter OODD 50 9 0 14 May 2024
Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory Xueyan Niu Bo Bai Lei Deng Wei Han 44 6 0 14 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 49 26 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 45 28 0 04 Apr 2024
Learning Sequence Attractors in Recurrent Networks with Hidden Neurons Yao Lu Si Wu 48 3 0 03 Apr 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 42 5 0 11 Mar 2024
HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts Do Huu Dat Po Yuan Mao Tien Hoang Nguyen Wray Buntine Bennamoun 59 1 0 23 Nov 2023
Associative Transformer Yuwei Sun H. Ochiai Zhirong Wu Stephen Lin Ryota Kanai ViT 65 0 0 22 Sep 2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis Axel Laborieux Friedemann Zenke 30 7 0 05 Sep 2023
Autonomous and Ubiquitous In-node Learning Algorithms of Active Directed Graphs and Its Storage Behavior Hui Wei Weihua Miao Fushun Li GNN 24 1 0 12 Jul 2023
Long Sequence Hopfield Memory Hamza Tahir Chaudhry Jacob A. Zavatone-Veth Dmitry Krotov Cengiz Pehlevan 55 18 0 07 Jun 2023
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer Toshihiro Ota Masato Taki 40 2 0 25 Apr 2023
Mnemosyne: Learning to Train Transformers with Transformers Deepali Jain K. Choromanski Kumar Avinava Dubey Sumeet Singh Vikas Sindhwani Tingnan Zhang Jie Tan OffRL 46 9 0 02 Feb 2023
Competitive learning to generate sparse representations for associative memory Luis Sa-Couto Andreas Wichert 33 6 0 05 Jan 2023
Energy-based General Sequential Episodic Memory Networks at the Adiabatic Limit Arjun Karuvally T. Sejnowski H. Siegelmann 35 4 0 11 Dec 2022
Attention in a family of Boltzmann machines emerging from modern Hopfield networks Toshihiro Ota Ryo Karakida 19 2 0 09 Dec 2022
On the Relationship Between Variational Inference and Auto-Associative Memory Louis Annabi Alexandre Pitti M. Quoy BDL 35 5 0 14 Oct 2022
Bird-Eye Transformers for Text Generation Models Lei Sha Yuhang Song Yordan Yordanov Tommaso Salvatori Thomas Lukasiewicz 30 0 0 08 Oct 2022
Hebbian Deep Learning Without Feedback Adrien Journé Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis AAML 33 49 0 23 Sep 2022
Sequence Learning Using Equilibrium Propagation Malyaban Bal Abhronil Sengupta 35 9 0 14 Sep 2022
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks Yonghao Xu Weikang Yu Pedram Ghamisi Michael K Kopp Sepp Hochreiter 27 31 0 08 Aug 2022
Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures Mike Heddes Igor O. Nunes Pere Vergés Denis Kleyko Danny Abraham T. Givargis Alexandru Nicolau A. Veidenbaum 39 20 0 18 May 2022
Fine-tuning Image Transformers using Learnable Memory Mark Sandler A. Zhmoginov Max Vladymyrov Andrew Jackson ViT 34 47 0 29 Mar 2022
ChiTransformer:Towards Reliable Stereo from Cues Qing Su Shihao Ji MDE ViT 23 12 0 09 Mar 2022
Entropic Associative Memory for Manuscript Symbols R. Morales Noé Hernández Ricardo Cruz Mendoza Victor D. Cruz L. Pineda 17 5 0 17 Feb 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 35 28 0 10 Feb 2022
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold Sugandha Sharma Sarthak Chandra Ila R. Fiete 60 20 0 01 Feb 2022
Learning on Arbitrary Graph Topologies via Predictive Coding Tommaso Salvatori Luca Pinchetti Beren Millidge Yuhang Song Tianyi Bao Rafal Bogacz Thomas Lukasiewicz 40 33 0 31 Jan 2022
Biological learning in key-value memory networks Danil Tyulmankov Ching Fang Annapurna Vadaparty G. R. Yang 23 27 0 26 Oct 2021
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 Günter Klambauer Angela Bitto-Nemling Sepp Hochreiter VLM CLIP 209 102 0 21 Oct 2021
Primer: Searching for Efficient Transformers for Language Modeling David R. So Wojciech Mañke Hanxiao Liu Zihang Dai Noam M. Shazeer Quoc V. Le VLM 91 154 0 17 Sep 2021
Associative Memories via Predictive Coding Tommaso Salvatori Yuhang Song Yujian Hong Simon Frieder Lei Sha Zhenghua Xu Rafal Bogacz Thomas Lukasiewicz 35 62 0 16 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 41 236 0 01 Aug 2021
Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley BDL AI4CE 24 8 0 26 Jul 2021
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks Timoleon Moraitis Dmitry Toichkin Adrien Journé Yansong Chua Qinghai Guo AAML BDL 68 28 0 12 Jul 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation Yingjun Du Nithin Holla Xiantong Zhen Cees G. M. Snoek Ekaterina Shutova 33 9 0 05 Jun 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 35 138 0 29 Mar 2021