Regularization Techniques

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Kullback-Leibler DivergenceDivergenceBregman DivergencesEntropy-Regularized Equilibrium SelectionKullback-Leibler RegularizationQuantitative Idea Divergence

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  1. Regularized Reward-Punishment Reinforcement Learning

    Jun 26, 2026Jiexin Wang, Eiji UchibeDeep Q-NetworksBellman Equation

  2. Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders

    Jun 25, 2026Nathanaël Jacquier, Maria Vakalopoulou, Mahdi S. HosseiniImproving Sparse AutoencodersSparsity

  3. LISA: Likelihood Score Alignment for Visual-condition Controllable Generation

    Jun 25, 2026Yanghao Wang, Hongxu Chen, Jiazhen Liu +4High-Fidelity Conditional GenerationRegularization Techniques

  4. Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning

    Jun 25, 2026Jiahe Chen, Qian Shao, Qiyuan Chen +4Semi-Supervised LearningRectification

  5. Appearance-Preserving Refinement of Generated 3D Assets for Monochromatic Fabrication

    Jun 25, 2026Chentao Shen, Chen Jia, Mingjie Huang +33D AssetsScene Bias

  6. From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning

    Jun 25, 2026Evan Ning, Wei Xue, Dong Lou +1Catastrophic ForgettingContinual Learning Methods

  7. EMAgnet: Parameter-Space EMA Regularization for Policy Gradient Self-Play in Large Games

    Jun 22, 2026Tristan Maidment, JB Lanier, Chase McDonald +5Self-PlayImperfect-Information Games

  8. DREG: A Layer-Wise Jacobian Regularization as a General-Purpose Penalty

    Jun 22, 2026Rowan MartnishnRegularization TechniquesInductive Bias

  9. Enforcing Human-like Kinematics in Dexterous Piano Playing via Adversarial Posture Regularization

    Jun 22, 2026Bin Qiu, Yanming Shao, Guanyu Cai +1Dexterous Robot HandsPiano

  10. Differential Spectral Damping Gap Adaptive Regularization for Ill-Conditioned Kernel Methods

    Jun 22, 2026Praveg VashishthaKernel MethodSingular Value Decomposition

  11. Spectral Gating via Damped Oscillations for Adaptive Implicit Neural Representations

    Jun 22, 2026Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti +1Implicit Neural RepresentationsOscillatory Dynamics

  12. STAR-VAE: Structured Topology-Aware Regularization for Audio Reconstruction and Generation

    Jun 22, 2026Huadai Liu, Wen Wang, Kaicheng Luo +3Variational AutoencoderAudio Latent

  13. GARIP: A Running-Average Moving Reference for Last-Iterate Self-Play in Two-Player Zero-Sum Games

    Jun 21, 2026Can SavcıSelf-PlayConvergence Analysis

  14. Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation

    Jun 21, 2026Na Sang, Ding Ma, Rui Sang +1Few-Shot Contrastive Language-Image Pre-Training AdaptationFew-Shot Learning

  15. On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning

    Jun 21, 2026Zihui Zhao, Yuanbo Tang, Yang LiUnsupervised Dictionary LearningSparsity

  16. Convergence Analysis of Nyström Subsampling in Covariate Shift Adaptation for Misspecified case

    Jun 20, 2026Hanna Myleiko, Sergei Solodky, Vasyl SemenovDomain AdaptationCovariate Shift

  17. FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift

    Jun 20, 2026Kaijie Chen, Alex Johnson, Maria Garcia +2Federated LearningRegularization Techniques

  18. Robustness Cannot be Reduced to Regularization: Studying Adversarial Training Beyond the Linear Case

    Jun 19, 2026David A. R. Robin, Rafael Pinot, Yann ChevaleyreAdversarial TrainingAdversarial Examples

  19. ReFPO: Reflow Regularization for Flow Matching Policy Gradients

    Jun 19, 2026Ge Wang, Yibo Peng, Fan Feng +10Flow-Based PolicyDeep Reinforcement Learning

  20. From Uncertainty to Stability and Fidelity: Guiding Sparse-View 3D Gaussian Splatting with Fisher Information

    Jun 18, 2026Junbao Zhou, Qingshan Xu, Yuan Zhou +73D Gaussian SplatsNovel View Synthesis

  21. SurgVista: Long-Horizon Surgical World Modeling with Plausible Instrument-Tissue Dynamics

    Jun 18, 2026Wentao Pan, Wuyang Li, Shengyuan Liu +3Gradient SurgeryLong-Horizon Planning

  22. Convex training of Lipschitz-regularized shallow neural networks

    Jun 17, 2026Chao Yin, Antoine Lesage-LandryLipschitz ConstantTwo-Layer Neural Networks

  23. Low-Rank Tensor Completion Based on Fractional Regularization with Ky Fan p-k Norm

    Jun 17, 2026Shan Fan, Feng Zhang, Jianjun Wang +2Tensor CompletionSpectral Norm

  24. LLMZero: Discovering Adaptive Training Strategies for RL Post-Training via LLM Agents

    Jun 16, 2026Haoyang Fang, Wei Zhu, Boran Han +11Reinforcement Learning Post-TrainingExploration-Exploitation Dilemma

  25. Catastrophic Forgetting is Low-Rank: A Function-Space Theory for Continual Adaptation

    Jun 16, 2026Ido Nitzan Hidekel, Dan RavivCatastrophic ForgettingNeural Tangent Kernel

  26. Differential Privacy of Gaussian Process Posterior Sampling

    Jun 16, 2026Tomasz MaciazekDifferential PrivacyGaussian Process

  27. Expanding SPHERE-JEPA: A Family of Statistical Regularizers for the Hypersphere

    Jun 16, 2026Léo Nicollier, Enric Meinhardt-Llopis, Max Dunitz +3Regularization TechniquesMaximum Mean Discrepancy

  28. Non-negative Matrix Factorisation with Topological Regularisation

    Jun 16, 2026Matias de Jong van Lier, Shizuo Kaji, Keunsu KimNonnegative Matrix FactorizationPersistent Homology

  29. Regularized Machine Learning for System Identification of Ship Free-Running Manoeuvres from CFD-Based Synthetic Data: A Comparative Study

    Jun 15, 2026R. F. Suárez, J. C. Berndt, M. Abdel-MaksoudSystem IdentificationFluid Dynamics

  30. Noise-Driven Escape from Metastable Phases explains Grokking in Deep Neural Networks

    Jun 15, 2026Ibrahim Talha Ersoy, Karoline WiesnerGrokkingPhase Transitions

  31. Dual-Granularity Orthogonal Disentanglement for Generalizable Audio Deepfake Detection

    Jun 15, 2026Zhuodong Liu, Hugen Lv, Xiangyu Li +1Audio Deepfake DetectionRegularization Techniques

  32. LiFT: Local Search via Linear Programming for Overfitting-Controlled Transformers

    Jun 15, 2026Abhishek Shukla, Anikeit Khanna, Ankur Sinha +1FinetuningTransformer Architectures

  33. HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation

    Jun 14, 2026Zhuangzhi Gao, Feixiang Zhou, He Zhao +11Medical Image SegmentationStatistical Shape Model

  34. SpatialAvatar-0: High-Quality 4D Head Avatar with Multi-Stage Reconstruction

    Jun 14, 2026Yiran Wang, Zeyu Zhang, Yuanming Li +2Animatable 3D Human AvatarsHigh-Fidelity Avatar

  35. Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks

    Jun 12, 2026Greg Ongie, Rahul ParhiMetric SpacesKernel Hilbert Spaces

  36. Sensitivity Shaping for Latent Modeling

    Jun 12, 2026Hongzhan Yu, Chenghao Li, Ruipeng Zhang +2Latent DynamicsObstacle Avoidance

  37. Output-Level Regularization Eliminates the Seed Lottery in Single-GPU VLA Fine-Tuning

    Jun 11, 2026Jeffrin Sam, Dzmitry TsetserukouPretrained Vision-Language-ActionVision-Language-Action Models

  38. Redesigning Regularization for Effective Policy Smoothing

    Jun 11, 2026Taisuke Kobayashi, Naoto YamanakaSmoothingRegularization Techniques

  39. Variational Deep Unfolding with Mamba-Based Nonlocal Modeling for Underwater Image Enhancement

    Jun 10, 2026Daniel Torres, Julia Navarro, Catalina Sbert +1Underwater Image EnhancementDeep Unfolding Networks

  40. Range Penalization: Theoretical Insights with Applications in Federated Learning

    Jun 9, 2026Yiyuan She, Zhaojun Hu, Yifan SunFederated LearningRegularization Techniques

  41. Covariance Shrinkage via Stochastic Interpolation

    Jun 5, 2026Mathieu Chalvidal, Florentin Coeurdoux, Eric Vanden-EijndenCovariance EstimationEmpirical Risk Minimization

  42. Closed-Form Spectral Regularization for Multi-Task Model Merging

    Jun 5, 2026Yongxian Wei, Runxi Cheng, Xingxuan Zhang +4Continual Model MergingModel Merging

  43. Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws

    Jun 5, 2026Zhiwei Xu, Shihao Wu, Hanseul Cho +2Large Language Model PretrainingModel Pretraining

  44. ARAPDiffusion: ARAP Regularization for Diffusion-Based Deformable Shape Space Learning

    Jun 5, 2026Haibo Liu, Jinghan Ke, Haitao Yang +3Statistical Shape ModelLatent Diffusion Model

  45. Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification

    Jun 4, 2026Haoyang Hong, Zichen Wang, Quanquan Gu +1Kullback-Leibler RegularizationLinear Contextual Bandits

  46. Prediction Under Imperfect Compression: A Theory of Approximate MDL

    Jun 3, 2026Qian Li, Xinyu Mao, Shang-Hua Teng +1Maximum LikelihoodReward-Prediction Error

  47. Low-Rank Decay for Grokking in Scale-Invariant Transformers: A Spectral-Geometric View

    Jun 3, 2026Mingyu LiLow-Rank FactorizationRegularization Techniques

  48. Knockoffs-based False Discovery Rate Control and Simplification for Deep Neural Networks

    Jun 3, 2026Wenyu Liao, Yiqing Shi, Fang XieFalse Discovery RateScreening

  49. Graph Regularized Non-negative Reduced Biquaternion Matrix Factorization for Color Image Recognition

    Jun 2, 2026Hailang Wu, Yonghe Liu, Bingxuan Yu +1Nonnegative Matrix FactorizationMatrix Factorization

  50. Detecting and Mitigating Bias by Treating Fairness as a Symmetry Operation

    Jun 2, 2026Nishit SinghFairness-Aware LearningPrivacy-Preserving Framework

  51. Hierarchical Federated Learning with Dynamic Clustering and Adaptive Regularization for Robust Infrastructure Inspection

    Jun 2, 2026Yuhu Feng, Keisuke Maeda, Takahiro Ogawa +1Federated LearningStructural Health Monitoring

  52. A Nonmonotone Gradient-Based Algorithm for Symmetric Nonnegative Matrix Factorization and Graph Clustering

    Jun 1, 2026Ryan Swart, Johannes BrustNonnegative Matrix FactorizationProximal Gradient Descent

  53. VISReg: Variance-Invariance-Sketching Regularization for JEPA training

    Jun 1, 2026Haiyu Wu, Randall Balestriero, Morgan LevineRegularization TechniquesCovariance Estimation

  54. Regularized Large Neighborhood Search

    Jun 1, 2026Germain Vivier-Ardisson, Laurent Demonet, Axel Parmentier +1Parallel Continuous Local SearchGibbs Measures

  55. Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation

    Jun 1, 2026Junhyoung Chung, Euijong Song, Won Hwa Kim +1Optimal TransportConvex Sets

  56. Provable Data Scaling Law for Meta Learning via Complexity Minimization

    Jun 1, 2026Kazuto Fukuchi, Ryuichiro Hataya, Kota MatsuiMeta-LearningModel Pretraining

  57. Quality-Guided Semi-Supervised Learning for Medical Image Segmentation

    Jun 1, 2026Kumar Abhishek, Ghassan HamarnehMedical Image SegmentationSemi-Supervised Learning

  58. UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures

    May 31, 2026Triet M. LeJoint-Embedding Predictive ArchitecturesSphere-Jepa

  59. Non-Vacuous Certification of Transport MCMC via Oscillation-Controlled Normalizing Flows

    May 31, 2026Jun HuMarkov Chain Monte CarloNormalizing Flows

  60. Sparse-View Lung Nodule Volumetry from Digitally Reconstructed Radiographs via AReT: Anatomy-Regularized TensoRF

    May 31, 2026Spoorthi M, Suja PalaniswamyLung-Nodule DetectorTransmissive X-Ray Imaging