Methods › General › Regularization › Early Stopping
Early Stopping
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Early Stopping is a regularization technique for deep neural networks that stops training when parameter updates no longer begin to yield improves on a validation set. In essence, we store and update the current best parameters during training, and when parameter updates no longer yield an improvement (after a set number of iterations) we stop training and use the last best parameters. It works as a regularizer by restricting the optimization procedure to a smaller volume of parameter space.
Image Source: Ramazan Gençay
Papers archive 2025-07-28
30 shown of 468, 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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Some remarks on gradient dominance and LQR policy optimization 14 Jul 2025 · 0 repositories · arXiv:2507.10452
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Chat-Ghosting: A Comparative Study of Methods for Auto-Completion in Dialog Systems 8 Jul 2025 · 0 repositories · arXiv:2507.05940
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Early Stopping Tabular In-Context Learning 26 Jun 2025 · 0 repositories · arXiv:2506.21387
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Less is More: Undertraining Experts Improves Model Upcycling 17 Jun 2025 · 0 repositories · arXiv:2506.14126
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Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity 3 Jun 2025 · 0 repositories · arXiv:2506.03337
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Generalization Dynamics of Linear Diffusion Models 30 May 2025 · 0 repositories · arXiv:2505.24769
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Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion 30 May 2025 · 1 repository · arXiv:2505.24362Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
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From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval 29 May 2025 · 1 repository · arXiv:2505.23059
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Deep Spectral Prior 26 May 2025 · 0 repositories · arXiv:2505.19873
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On the Role of Label Noise in the Feature Learning Process 25 May 2025 · 1 repository · arXiv:2505.18909Syntology ran 2 of 8 samples · 6 unverified
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First Finish Search: Efficient Test-Time Scaling in Large Language Models 23 May 2025 · 0 repositories · arXiv:2505.18149
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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models 22 May 2025 · 0 repositories · arXiv:2505.16959
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Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately 19 May 2025 · 0 repositories · arXiv:2505.13326
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Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions 16 May 2025 · 0 repositories · arXiv:2505.10880
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Multimodal Sentiment Analysis on CMU-MOSEI Dataset using Transformer-based Models 9 May 2025 · 0 repositories · arXiv:2505.06110
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ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning 8 May 2025 · 0 repositories · arXiv:2505.04881
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Precise gradient descent training dynamics for finite-width multi-layer neural networks 8 May 2025 · 0 repositories · arXiv:2505.04898
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Circinus: Efficient Query Planner for Compound ML Serving 23 Apr 2025 · 0 repositories · arXiv:2504.16397
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TD-Suite: All Batteries Included Framework for Technical Debt Classification 15 Apr 2025 · 1 repository · arXiv:2504.11085
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Adaptive Low Light Enhancement via Joint Global-Local Illumination Adjustment 1 Apr 2025 · 0 repositories · arXiv:2504.00400
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Chirp Localization via Fine-Tuned Transformer Model: A Proof-of-Concept Study 24 Mar 2025 · 0 repositories · arXiv:2503.22713
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EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python 20 Mar 2025 · 1 repository · arXiv:2503.16753
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Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective 14 Mar 2025 · 0 repositories · arXiv:2503.11553
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Whiteness-based bilevel estimation of weighted TV parameter maps for image denoising 10 Mar 2025 · 0 repositories · arXiv:2503.07814
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On the Saturation Effects of Spectral Algorithms in Large Dimensions 1 Mar 2025 · 0 repositories · arXiv:2503.00504
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Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks 28 Feb 2025 · 0 repositories · arXiv:2502.21269
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Leveraging Procedural Knowledge and Task Hierarchies for Efficient Instructional Video Pre-training 24 Feb 2025 · 0 repositories · arXiv:2502.17352
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OGBoost: A Python Package for Ordinal Gradient Boosting 19 Feb 2025 · 0 repositories · arXiv:2502.13456
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Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression 18 Feb 2025 · 0 repositories · arXiv:2502.13283
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Early Stopping Against Label Noise Without Validation Data 11 Feb 2025 · 1 repository · arXiv:2502.07551
Tasks archive 2025-07-28
20 shown of 295 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Image Generation | 43 |
| regression | 21 |
| Transfer Learning | 18 |
| Decision Making | 17 |
| Conditional Image Generation | 16 |
| Hyperparameter Optimization | 16 |
| Image Classification | 16 |
| Data Augmentation | 15 |
| Denoising | 14 |
| Bayesian Optimization | 13 |
| Deep Learning | 13 |
| image-classification | 13 |
| reinforcement-learning | 13 |
| Model Selection | 12 |
| General Classification | 11 |
| Reinforcement Learning | 11 |
| Benchmarking | 10 |
| GPU | 10 |
| Generative Adversarial Network | 10 |
| Memorization | 10 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections