associative memory

General Sequential Episodic Memory Model ICML 2023 Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs ICLR 2023 Incremental Image De-raining via Associative Memory AAAI 2023 Learning Fast and Slow for Online Time Series Forecasting ICLR 2023 Learning with Partial Forgetting in Modern Hopfield Networks AISTATS 2023 Long Sequence Hopfield Memory NeurIPS 2023 Abstraction for Deep Reinforcement Learning IJCAI 2022 BayesPCN: A Continually Learnable Predictive Coding Associative Memory NeurIPS 2022 Kernel Memory Networks: A Unifying Framework for Memory Modeling NeurIPS 2022 Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI 2022 Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models ICML 2022 Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory CVPR 2022 Associative Memories via Predictive Coding NeurIPS 2021 Attention Approximates Sparse Distributed Memory NeurIPS 2021 Large Associative Memory Problem in Neurobiology and Machine Learning ICLR 2021 Learning Associative Inference Using Fast Weight Memory ICLR 2021 Associative Memory in Iterated Overparameterized Sigmoid Autoencoders ICML 2020 Episodic Reinforcement Learning with Associative Memory ICLR 2020 H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks NeurIPS 2020 Meta-Learning Deep Energy-Based Memory Models ICLR 2020 Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons NeurIPS 2020 Self-Attentive Associative Memory ICML 2020 Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes NeurIPS 2019 Neural Empirical Bayes JMLR 2019 Reviving and Improving Recurrent Back-Propagation ICML 2018