Neural Network Memorization

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  1. Memorisation bias in medical AI

    Sep 15, 2026Moritz A. Knolle, Martin J. Menten, Laurin Lux +5Neural Network MemorizationClinical Prediction

  2. PatchBench: Evaluating AI Agents for Vulnerability Patching

    Sep 3, 2026Chihao Shen, Jiacheng Li, Aastha Mahajan +3Automated Program RepairNeural Network Memorization

  3. Tunneling the Loss Landscape: Bypassing Memorization with Monte Carlo Parameter Swapping

    Aug 3, 2026Lai Shun Chan, Xiaotian Zhang, Yue Shang +2Neural Network GeneralizationMarkov Chain Monte Carlo

  4. Free energy landscape of Dense Associative Memory

    Jul 21, 2026Sumedha, Abhishek SinghFree Energy CalculationNeural Network Memorization

  5. Extractable Memorization From First Principles

    Jul 14, 2026A. Feder Cooper, Marika Swanberg, Jamie Hayes +5LLM EvaluationMemorization in Language Models

  6. Fisher Rank Inflation: A Spectral Signature of Memorization under Label Noise

    Jul 14, 2026Satwik Bathula, Anand A. JoshiNeural Network MemorizationNoisy-Label Learning

  7. Random Label Prediction Heads for Studying Memorization in Deep Neural Networks

    Jul 13, 2026Marlon Becker, Jonas Konrad, Luis Garcia Rodriguez +1Neural Network GeneralizationNeural Network Memorization

  8. Train Smarter, Not Longer: Memorization-Guided Data Reuse for Efficient LLM Training

    Jul 6, 2026Jingwei Zuo, Cong Zeng, Ilyas Chahed +6Memorization in Language ModelsNeural Network Memorization

  9. Probing Memorization of Tabular In-Context Learning

    Jun 30, 2026Francesco Capano, Jonas BöhlerTabular Foundation ModelsMembership Inference Attacks

  10. Probe Choice Changes Canary-Memorization Verdicts: Three Post-Hoc Disagreement Case Studies in a Text-Dominant LoRA-Tuned Autoregressive Testbed

    Jun 30, 2026Zhichao Fan, Zexin Zhuang, Yanhang LiMemorization in Language ModelsLLM Auditing

  11. A Stochastic--Geometric Theory of Scaling Laws in Grokking

    Jun 29, 2026Róisín Luo, Christian Gagné, Jonas Ngnawé +2Neural Network GeneralizationNeural Network Optimization

  12. Applicability of memorization indicators for early spotting of overfitting while recalibrating sEMG-decoders on low sample sizes

    Jun 26, 2026Stephan J. Lehmler, Tobias Glasmachers, Ioannis IossifidisNeural Network GeneralizationNeural Decoding

  13. Output Vector Editing for Memorization Mitigation in Large Language Models

    Jun 17, 2026Ahmad Dawar Hakimi, Kaiwei Lei, Isabelle Augenstein +1Memorization in Language ModelsNeural Network Memorization

  14. AI Engram: In Search of Memory Traces in Artificial Intelligence

    Jun 12, 2026Jea Kwon, Dong-Kyum Kim, Jiwon Kim +3Neural Representation GeometryMemorization in Language Models

  15. LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs

    Jun 4, 2026Gianluca Barmina, Peter Schneider-Kamp, Lukas Galke PoechData LeakageMemorization in Language Models

  16. Stochastic Estimation of the Layer-wise Hessian Trace for Monitoring Neural-network Training

    May 25, 2026Maxim Bolshim, Alexander KugaevskikhNeural Network MemorizationStochastic Approximation

  17. Rethinking Federated Unlearning via the Lens of Memorization

    May 23, 2026Jiaheng Wei, Yanjun Zhang, He Zhang +5Federated UnlearningNeural Network Memorization

  18. Batch Normalization Amplifies Memorization and Privacy Risks

    May 23, 2026Ngoc Phu Doan, Chongyan Gu, Ihsen AlouaniNeural Network Memorization

  19. Memorization Dynamics of Fill-in-the-Middle Pretraining

    May 21, 2026Tobias von Arx, Tanguy DieudonnéLanguage Model PretrainingMemorization in Language Models

  20. A mathematical theory of balancing relational generalization and memorization

    May 21, 2026Luke Cheng, Samuel LipplNeural Network GeneralizationLogical Reasoning

  21. Memorisation, convergence and generalisation in generative models

    May 20, 2026Antoine Maillard, Sebastian GoldtNeural Network MemorizationMemorization in Generative Models

  22. Reconfigurable Nonlinear Photonic Networks for In-Situ Learning and Memory Formation via Driven-Dissipative Dynamics

    May 19, 2026Isaac YorkeDynamical SystemsNeural Network Memorization

  23. Adynamical systems view of training generativemodels and the memorization phenomenon

    May 19, 2026Siva Athreya, Chiranjib Bhattacharya, Vivek S. BorkarNeural Network MemorizationMemorization in Generative Models

  24. Unveiling Memorization-Generalization Coexistence: A Case Study on Arithmetic Tasks with Label Noise

    May 18, 2026Linyu Liu, Pinyan LuNeural Network GeneralizationNeural Network Memorization

  25. Auditing Reasoning-Trace Memorization Claims after Unlearning with Head-Conditioned Canaries

    May 17, 2026Yanhang Li, Zhichao Fan, Zexin ZhuangMemorization in Language ModelsLLM Auditing

  26. First-Passage Prediction of Grokking Delay: ACalibrated Law under AdamW with Causal Validation

    May 13, 2026Truong Xuan Khanh, Truong Quynh Hoa, Luu Duc Trung +1Neural Network MemorizationNeural Network Training Dynamics

  27. Geometric Factual Recall in Transformers

    May 12, 2026Shauli Ravfogel, Gilad Yehudai, Joan Bruna +1Neural Representation GeometryMemorization in Language Models

  28. Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data

    Apr 29, 2026Bao Pham, Mohammed J. Zaki, Luca Ambrogioni +2Memorization in Language ModelsNeural Network Memorization

  29. Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface Forms

    Apr 23, 2026Yuto Nishida, Naoki Shikoda, Yosuke Kishinami +4LLM EvaluationMemorization in Language Models

  30. Learning Hippo: Multi-attractor Dynamics and Stability Effects in a Biologically Detailed CA3 Extension of Hopfield Networks

    Apr 22, 2026Daniele Corradetti, Renato CorradettiDynamical SystemsNeural Processes

  31. The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks

    Mar 26, 2026Gabriele Farné, Fabrizio Boncoraglio, Lenka ZdeborováNeural Network GeneralizationNeural Network Memorization

  32. Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits

    Dec 16, 2025Michael Murray, Tenzin Chan, Kedar Karhadker +1Sample ComplexityNeural Network Memorization

  33. Redundancy Maximization as a Principle of Associative Memory Learning in Hopfield Networks

    Nov 4, 2025Mark Blümel, Andreas C. Schneider, Valentin Neuhaus +5Neural Network MemorizationHopfield Networks

  34. Dynamical stability for dense patterns in attractor neural networks

    Jul 14, 2025Uri Cohen, Máté LengyelDynamical SystemsNeural Processes

  35. Continual Memorization of Factoids in Language Models

    Nov 11, 2024Howard Chen, Jiayi Geng, Adithya Bhaskar +2Continual Learning for LLMsMemorization in Language Models

  36. Mitigating Memorization In Language Models

    Oct 3, 2024Mansi Sakarvadia, Aswathy Ajith, Arham Khan +6Memorization in Language ModelsLLM Fine-Tuning