{"total":41,"rows":[{"id":"2105.14368","title":"Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation","created":"2021-05-29","cited_by_count":132,"area":null},{"id":"2202.04557","title":"Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models","created":"2022-02-09","cited_by_count":55,"area":null},{"id":"2202.09467","title":"Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?","created":"2022-02-18","cited_by_count":45,"area":null},{"id":"2109.08063","title":"Associative Memories via Predictive Coding","created":"2021-09-16","cited_by_count":44,"area":null},{"id":"2501.02950","title":"Key-value memory in the brain","created":"2025-01-06","cited_by_count":24,"area":null},{"id":"2305.11041","title":"High-dimensional Asymptotics of Denoising Autoencoders","created":"2023-05-18","cited_by_count":19,"area":null},{"id":"2105.12049","title":"Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs","created":"2021-05-25","cited_by_count":18,"area":null},{"id":"2202.09318","title":"DataMUX: Data Multiplexing for Neural Networks","created":"2022-02-18","cited_by_count":18,"area":null},{"id":"2108.00131","title":"Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks","created":"2021-07-31","cited_by_count":17,"area":null},{"id":"2502.06733","title":"Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining","created":"2025-02-10","cited_by_count":16,"area":null},{"id":"2406.18400","title":"Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers","created":"2024-06-26","cited_by_count":15,"area":null},{"id":"2504.12883","title":"Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?","created":"2025-04-17","cited_by_count":12,"area":null},{"id":"2202.00159","title":"Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold","created":"2022-02-01","cited_by_count":11,"area":null},{"id":"2309.02028","title":"Non-Parametric Representation Learning with Kernels","created":"2023-09-05","cited_by_count":11,"area":null},{"id":"2505.22785","title":"Navigating the Latent Space Dynamics of Neural Models","created":"2025-05-28","cited_by_count":8,"area":null},{"id":"2106.08928","title":"RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks","created":"2021-06-16","cited_by_count":7,"area":null},{"id":"2310.05337","title":"What do larger image classifiers memorise?","created":"2023-10-09","cited_by_count":6,"area":null},{"id":"2506.01855","title":"Trade-offs in Data Memorization via Strong Data Processing Inequalities","created":"2025-06-02","cited_by_count":6,"area":null},{"id":"2106.15456","title":"A Mechanism for Producing Aligned Latent Spaces with Autoencoders","created":"2021-06-29","cited_by_count":5,"area":null},{"id":"2211.00227","title":"Transfer Learning with Kernel Methods","created":"2022-11-01","cited_by_count":5,"area":null},{"id":"2308.04836","title":"Beyond Surprise: Improving Exploration Through Surprise Novelty","created":"2023-08-09","cited_by_count":5,"area":null},{"id":"2402.10202","title":"Bridging Associative Memory and Probabilistic Modeling","created":"2024-02-15","cited_by_count":5,"area":null},{"id":"2210.08013","title":"On the Relationship Between Variational Inference and Auto-Associative Memory","created":"2022-10-14","cited_by_count":4,"area":null},{"id":"2305.19802","title":"Neuro-Causal Factor Analysis","created":"2023-05-31","cited_by_count":4,"area":null},{"id":"2212.13468","title":"Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods","created":"2022-12-27","cited_by_count":3,"area":null},{"id":"2305.14706","title":"PruMUX: Augmenting Data Multiplexing with Model Compression","created":"2023-05-24","cited_by_count":3,"area":null},{"id":"2404.00880","title":"Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity","created":"2024-04-01","cited_by_count":3,"area":null},{"id":"2409.16112","title":"Self-attention as an attractor network: transient memories without backpropagation","created":"2024-09-24","cited_by_count":3,"area":null},{"id":"2107.06386","title":"Geometry and Generalization: Eigenvalues as predictors of where a network will fail to generalize","created":"2021-07-13","cited_by_count":2,"area":null},{"id":"2204.00382","title":"Autoencoder Attractors for Uncertainty Estimation","created":"2022-04-01","cited_by_count":2,"area":null},{"id":"2310.02897","title":"How Much Training Data is Memorized in Overparameterized Autoencoders? An Inverse Problem Perspective on Memorization Evaluation","created":"2023-10-04","cited_by_count":2,"area":null},{"id":"2407.15425","title":"Empirical Capacity Model for Self-Attention Neural Networks","created":"2024-07-22","cited_by_count":1,"area":null},{"id":"2605.20105","title":"Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing","created":"2026-05-19","cited_by_count":1,"area":null},{"id":"2206.14371","title":"Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model","created":"2022-06-29","cited_by_count":0,"area":null},{"id":"2210.03985","title":"Bird-Eye Transformers for Text Generation Models","created":"2022-10-08","cited_by_count":0,"area":null},{"id":"2309.06774","title":"Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss","created":"2023-09-13","cited_by_count":0,"area":null},{"id":"2310.05212","title":"Semiotics Networks Representing Perceptual Inference","created":"2023-10-08","cited_by_count":0,"area":null},{"id":"2311.06876","title":"Unified machine learning tasks and datasets for enhancing renewable energy","created":"2023-11-12","cited_by_count":0,"area":null},{"id":"2402.17554","title":"Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis","created":"2024-02-27","cited_by_count":0,"area":null},{"id":"2511.02614","title":"A Non-Adversarial Approach to Idempotent Generative Modelling","created":"2025-11-04","cited_by_count":0,"area":null},{"id":"2609.32268","title":"Self-Reconstruction Dynamics for Autoencoder Reconstruction Refinement","created":"2026-09-26","cited_by_count":0,"area":null}],"next_cursor":null}