Co-occurring keywords · papers mentioning both
Papers
AH-OCDA: Amplitude-Based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation
WACV 2025
Associative Transformer
CVPR 2025
HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts
WACV 2025
Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval
JMLR 2025
Dense Associative Memory Through the Lens of Random Features
NeurIPS 2024
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
ICML 2024
Relating Hopfield Networks to Episodic Control
NeurIPS 2024
Sparse and Structured Hopfield Networks
ICML 2024
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
ICLR 2024
Conformal Prediction for Time Series with Modern Hopfield Networks
NeurIPS 2023
Context-enriched molecule representations improve few-shot drug discovery
ICLR 2023
Energy-based learning algorithms for analog computing: a comparative study
NeurIPS 2023
General Sequential Episodic Memory Model
ICML 2023
Learning with Partial Forgetting in Modern Hopfield Networks
AISTATS 2023
Long Sequence Hopfield Memory
NeurIPS 2023
On Sparse Modern Hopfield Model
NeurIPS 2023
Sequence Learning Using Equilibrium Propagation
IJCAI 2023
Sequential Memory with Temporal Predictive Coding
NeurIPS 2023
Simplicial Hopfield networks
ICLR 2023
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
NeurIPS 2022
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold
ICML 2022
History Compression via Language Models in Reinforcement Learning
ICML 2022
Kernel Memory Networks: A Unifying Framework for Memory Modeling
NeurIPS 2022
On the relationship between variational inference and auto-associative memory
NeurIPS 2022
Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods
COLT 2022