Methods › General › Working Memory Models › Memory Network
Memory Network
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A Memory Network provides a memory component that can be read from and written to with the inference capabilities of a neural network model. The motivation is that many neural networks lack a long-term memory component, and their existing memory component encoded by states and weights is too small and not compartmentalized enough to accurately remember facts from the past (RNNs for example, have difficult memorizing and doing tasks like copying).
A memory network consists of a memory m (an array of objects indexed by mᵢ and four potentially learned components:
- Input feature map I - feature representation of the data input.
- Generalization G - updates old memories given the new input.
- Output feature map O - produces new feature map given I and G.
- Response R - converts output into the desired response.
Given an input x (e.g., an input character, word or sentence depending on the granularity chosen, an image or an audio signal) the flow of the model is as follows:
- Convert x to an internal feature representation I(x).
- Update memories mᵢ given the new input: mᵢ = G(mᵢ, I(x), m), ∀i.
- Compute output features o given the new input and the memory: o = O(I(x), m).
- Finally, decode output features o to give the final response: r = R(o).
This process is applied at both train and test time, if there is a distinction between such phases, that is, memories are also stored at test time, but the model parameters of I, G, O and R are not updated. Memory networks cover a wide class of possible implementations. The components I, G, O and R can potentially use any existing ideas from the machine learning literature.
Image Source: Adrian Colyer
Papers archive 2025-07-28
30 shown of 445, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Deep learning for predicting hauling fleet production capacity under uncertainties in open pit mines using real and simulated data 4 Jun 2025 · 0 repositories · arXiv:2506.04296
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A novel Neural-ODE model for the state of health estimation of lithium-ion battery using charging curve 9 May 2025 · 0 repositories · arXiv:2505.05803
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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems 18 Apr 2025 · 0 repositories · arXiv:2504.13453
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Predicting Driver's Perceived Risk: a Model Based on Semi-Supervised Learning Strategy 17 Apr 2025 · 0 repositories · arXiv:2504.12665
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Oscillatory Associative Memory with Exponential Capacity 4 Apr 2025 · 0 repositories · arXiv:2504.03102
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Deep Representation Learning for Unsupervised Clustering of Myocardial Fiber Trajectories in Cardiac Diffusion Tensor Imaging 2 Apr 2025 · 0 repositories · arXiv:2504.01953
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Incremental capacity-based multi-feature fusion model for predicting state-of-health of lithium-ion batteries 31 Mar 2025 · 0 repositories · arXiv:2503.23858
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Emotion Detection in Twitter Messages Using Combination of Long Short-Term Memory and Convolutional Deep Neural Networks 26 Mar 2025 · 0 repositories · arXiv:2503.20163
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SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging Environments 26 Mar 2025 · 1 repository · arXiv:2503.20614
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Coupling deep and handcrafted features to assess smile genuineness 20 Mar 2025 · 0 repositories · arXiv:2503.16128
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One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks 19 Mar 2025 · 1 repository · arXiv:2503.14979
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Long-VMNet: Accelerating Long-Form Video Understanding via Fixed Memory 17 Mar 2025 · 0 repositories · arXiv:2503.13707
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UncTrack: Reliable Visual Object Tracking with Uncertainty-Aware Prototype Memory Network 17 Mar 2025 · 1 repository · arXiv:2503.12888
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Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point 9 Mar 2025 · 0 repositories · arXiv:2503.13487
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Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer Model 5 Mar 2025 · 0 repositories · arXiv:2503.03237
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A Hybrid CNN-Transformer Model for Heart Disease Prediction Using Life History Data 3 Mar 2025 · 0 repositories · arXiv:2503.02124
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R³Mem: Bridging Memory Retention and Retrieval via Reversible Compression 21 Feb 2025 · 0 repositories · arXiv:2502.15957
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A-MEM: Agentic Memory for LLM Agents 17 Feb 2025 · 4 repositories · arXiv:2502.12110Syntology ran 6 of 10 samples · 4 unverified
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Aerial Reliable Collaborative Communications for Terrestrial Mobile Users via Evolutionary Multi-Objective Deep Reinforcement Learning 9 Feb 2025 · 0 repositories · arXiv:2502.05824
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Large Memory Network for Recommendation 8 Feb 2025 · 0 repositories · arXiv:2502.05558
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A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction 7 Feb 2025 · 0 repositories · arXiv:2502.06847
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Subtle variations in stiff dimensions of brain networks account for individual differences in cognitive ability 31 Jan 2025 · 0 repositories · arXiv:2501.19106
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ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks 30 Jan 2025 · 0 repositories · arXiv:2501.18089
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A two-stage dual-task learning strategy for early prediction of pathological complete response to neoadjuvant chemotherapy for breast cancer using dynamic contrast-enhanced magnetic resonance images 28 Jan 2025 · 0 repositories · arXiv:2502.00051
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Leveraging Video Vision Transformer for Alzheimer's Disease Diagnosis from 3D Brain MRI 27 Jan 2025 · 0 repositories · arXiv:2501.15733
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Gaze Prediction as a Function of Eye Movement Type and Individual Differences 31 Dec 2024 · 0 repositories · arXiv:2501.00597
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Protein Structure Prediction in the 3D HP Model Using Deep Reinforcement Learning 29 Dec 2024 · 0 repositories · arXiv:2412.20329
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SCKF-LSTM Based Trajectory Tracking for Electricity-Gas Integrated Energy System 24 Dec 2024 · 0 repositories · arXiv:2412.18357
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Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction 17 Nov 2024 · 0 repositories · arXiv:2411.10921
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LiVOS: Light Video Object Segmentation with Gated Linear Matching 5 Nov 2024 · 1 repository · arXiv:2411.02818
Tasks archive 2025-07-28
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Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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