Regularization Techniques

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

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  1. GEM: Geometric Entropy Mixing for Optimal LLM Data Curation

    Apr 27, 2026Yue Min, Ziyun Qiao, Ruining Chen +1Data-CurationLarge Language Model Pretraining

  2. When Does Removing LayerNorm Help? Activation Bounding as a Regime-Dependent Implicit Regularizer

    Apr 25, 2026Lucky VermaBatch NormalizationActivation Functions

  3. Learning Curves and Benign Overfitting of Spectral Algorithms in Large Dimensions

    Apr 25, 2026Weihao Lu, Qian Lin, Yingcun Xia +1Kernel Ridge RegressionOverfitting

  4. A Unified Fractional Regularization Framework for Sparse Recovery

    Apr 25, 2026Yinhao Zhao, Haoyu He, Chuanqi Ma +1Sparse RecoveryRegularization Techniques

  5. Relaxation-Informed Training of Neural Network Surrogate Models

    Apr 24, 2026Calvin TsayTime-Step-Wise Learnable Surrogate Gradient FunctionRectified Linear Unit Networks

  6. CT-Guided Spatially-varying Regularization for Voxel-Wise Deformable Whole-Body PET Registration

    Apr 24, 2026Xiangcen Wu, Ruohua Chen, Sichun Li +4Image RegistrationPositron Emission Tomography

  7. NRGS: Neural Regularization for Robust 3D Semantic Gaussian Splatting

    Apr 24, 2026Zaiyan Yang, Xinpeng Liu, Heng Guo +33D Gaussian3D Semantic Segmentation

  8. Explicit Dropout: Deterministic Regularization for Transformer Architectures

    Apr 22, 2026Vidhi Agrawal, Illia Oleksiienko, Alexandros IosifidisDropoutTransformer Attention

  9. Pairing Regularization for Mitigating Many-to-One Collapse in GANs

    Apr 22, 2026Kuan-Yu Lin, Yu-Chih Huang, Tie LiuGenerative Adversarial NetworkRegularization Techniques

  10. Disentangling Damage from Operational Variability: A Label-Free Self-Supervised Representation Learning Framework for Output-Only Structural Damage Identification

    Apr 21, 2026Xudong Jian, Charikleia Stoura, Simon Scandella +1Structural Health MonitoringVibration

  11. Framelet-Based Blind Image Restoration with Minimax Concave Regularization

    Apr 21, 2026Heng Zhang, Reza Parvaz, Rui YangImage RestorationMotion Blur

  12. Reducing the Offline-Streaming Gap for Unified ASR Transducer with Consistency Regularization

    Apr 21, 2026Andrei Andrusenko, Vladimir Bataev, Lilit Grigoryan +3Automatic Speech Recognition SystemsDirection-Of-Arrival Estimation

  13. S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection

    Apr 21, 2026Xuelin Zhang, Hong Chen, Yingjie Wang +2Semi-Supervised LearningRegularization Techniques

  14. Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning

    Apr 21, 2026Yuan Zhuang, Yuexin Bian, Sihong He +7Off-Policy EvaluationCritic Learning

  15. Where Fake Citations Are Made: Tracing Field-Level Hallucination to Specific Neurons in LLMs

    Apr 20, 2026Yuefei Chen, Yihao Quan, Xiaodong Lin +1Large Language Model HallucinationHallucination Rate

  16. Task Switching Without Forgetting via Proximal Decoupling

    Apr 20, 2026Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger +2Efficient Continual LearningUnseen-Task Adaptation

  17. Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations

    Apr 20, 2026Eric Rudolph, Philipp Steigerwald, Jens AlbrechtNext-Token PredictionNext Activity Prediction

  18. Recovery Guarantees for Continual Learning of Dependent Tasks: Memory, Data-Dependent Regularization, and Data-Dependent Weights

    Apr 19, 2026Liangzu Peng, Uday Kiran Reddy Tadipatri, Ziqing Xu +2Efficient Continual LearningContinual Learning Methods

  19. REZE: Representation Regularization for Domain-adaptive Text Embedding Pre-finetuning

    Apr 19, 2026Seungmin Lee, Jeonghwan Lee, Hyunkuk Lim +2Domain-Invariant Text EmbeddingsDomain-Adaptation Benchmark

  20. Guardrails in Logit Space: Safety Token Regularization for LLM Alignment

    Apr 19, 2026Thong Bach, Truyen TranSafety AlignmentLarge Language Model Alignment

  21. Understanding and Enforcing Weight Disentanglement in Task Arithmetic

    Apr 18, 2026Shangge Liu, Yuehan Yin, Lei Wang +5OrthogonalityRegularization Techniques

  22. L1 Regularization Paths in Linear Models by Parametric Gaussian Message Passing

    Apr 18, 2026Yun-Peng Li, Hans-Andrea LoeligerLassoRegularization Techniques

  23. CCAR: Intrinsic Robustness as an Emergent Geometric Property

    Apr 18, 2026Akash Samanta, Manish Pratap Singh, Debasis ChaudhuriSemantic-Geometric RepresentationsRegularization Techniques

  24. Joint-Centric Dual Contrastive Alignment with Structure-Preserving and Information-Balanced Regularization

    Apr 17, 2026Habibeh Naderi, Behrouz Haji Soleimani, Stan MatwinContrastive AlignmentAudio Representation

  25. Learning Affine-Equivariant Proximal Operators

    Apr 16, 2026Oriel Savir, Zhenghan Fang, Jeremias SulamExact EquivarianceProbabilistic Operator Learning

  26. An Analysis of Regularization and Fokker-Planck Residuals in Diffusion Models for Image Generation

    Apr 16, 2026Onno Niemann, Gonzalo Martínez Muñoz, Alberto Suárez GonzalezFokker--Planck EquationRegularization Techniques

  27. Disentangle-then-Refine: LLM-Guided Decoupling and Structure-Aware Refinement for Graph Contrastive Learning

    Apr 16, 2026Zhaoxing Li, Hai-Feng Zhang, Xiaoming ZhangSample-Wise 2D RefinementStructure-Aware

  28. Energy-based Regularization for Learning Residual Dynamics in Neural MPC for Omnidirectional Aerial Robots

    Apr 16, 2026Johannes Kübel, Henrik Krauss, Jinjie Li +1Model Predictive ControlAerial Robots

  29. Zeroth-Order Optimization at the Edge of Stability

    Apr 16, 2026Minhak Song, Liang Zhang, Bingcong Li +3Zeroth-Order OptimizationCondition Number

  30. CURA: Clinical Uncertainty Risk Alignment for Language Model-Based Risk Prediction

    Apr 16, 2026Sizhe Wang, Ziqi Xu, Claire Najjuuko +2Clinical PredictionLarge Language Model Uncertainty

  31. The Effective Number of Nonzeros: Theory and Regularization for Sparse Recovery

    Mar 14, 2026Haoyu He, Hao Wang, Jiashan Wang +1Sparse RecoverySparsity

  32. SGMatch: Semantic-Guided Non-Rigid Shape Matching with Flow Regularization

    Mar 13, 2026Tianwei Ye, Xiaoguang Mei, Yifan Xia +3Non-Rigid Shape MatchingFeature Matching

  33. Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects

    Mar 5, 2026Ayed M. Alrashdi, Oussama Dhifallah, Houssem SifaouMulti--Task LearningAsymptotics

  34. Gradient Regularization Mitigates Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards

    Feb 20, 2026Johannes Ackermann, Michael Noukhovitch, Takashi Ishida +1Reinforcement Learning From Human FeedbackRegularization Techniques

  35. The Appeal and Reality of Recycling LoRAs with Adaptive Merging

    Feb 12, 2026Haokun Liu, Gyung Hyun Je, Marco Ciccone +3Low-Rank AdaptationModel Pretraining

  36. A Gibbs posterior sampler for inverse problem based on prior diffusion model

    Feb 11, 2026Jean-François GiovannelliPosterior SamplingGibbs Measures

  37. Score-based diffusion models for severely ill-posed problems in diffuse optical tomography

    Feb 3, 2026Fabian Schneider, Meghdoot Mozumder, Konstantin Tamarov +4Ill-Posed Inverse ProblemScore-Based Diffusion Model

  38. A Large-Scale Dataset for Molecular Structure-Language Description via a Rule-Regularized Method

    Feb 2, 2026Feiyang Cai, Guijuan He, Yi Hu +7ReactionStructure-Aware

  39. Theoretical Analysis of Measure Consistency Regularization for Partially Observed Data

    Feb 1, 2026Yinsong Wang, Shahin ShahrampourRegularization TechniquesImputation

  40. Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation

    Jan 22, 2026Shams Nafisa Ali, Taufiq HasanMedical Image SegmentationSegmentation Model

  41. ZENITH: Automated Gradient Norm Informed Stochastic Optimization

    Jan 21, 2026Dhrubo SahaStochastic Gradient DescentRegularization Techniques

  42. Basic Inequalities for First-Order Optimization with Applications to Statistical Risk Analysis

    Dec 31, 2025Seunghoon Paik, Kangjie Zhou, Matus Telgarsky +1InequalitiesZeroth-Order Optimization

  43. HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policies

    Dec 5, 2025Zhiying Du, Bei Liu, Yaobo Liang +7Mixture-of-Experts ModelsIterative Co-Training

  44. Efficient Public Verification of Private ML via Regularization

    Dec 3, 2025Zoë Ruha Bell, Anvith Thudi, Olive Franzese-McLaughlin +2Differential PrivacyPrivacy-Utility Trade-Offs

  45. FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning

    Nov 22, 2025Bo Yin, Xiaobin Hu, Xingyu Zhou +7Generative ModelsRegularization Techniques

  46. Pruning as Regularization: Sensitivity-Aware One-Shot Pruning in ASR

    Nov 11, 2025Julian Irigoyen, Arthur Söhler, Andreas Søeborg KirkedalPruningFeed-Forward Network

  47. Solver-Integrated Adversarial Attacking and Training of Neural Operators

    Oct 21, 2025Yifei SunNeural OperatorsAdversarial Transferability

  48. SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization

    Oct 6, 2025Théophane Vallaeys, Jakob Verbeek, Matthieu CordVariational AutoencoderRegularization Techniques

  49. Breaking the Weak Recovery Limit in Random Phase Retrieval with Learned Regularizers

    Sep 18, 2025Stanislas Ducotterd, Zhiyuan Hu, Michael Unser +1Sparse RecoveryIll-Posed Inverse Problem

  50. FAIRVAR: Fair Federated Learning via Variance Regularization

    Aug 16, 2025Zahra Kharaghani, Ali Dadras, Tommy LöfstedtFairness-Aware LearningFederated Learning

  51. Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinal Learning and Auxiliary Regularization

    Aug 3, 2025Xin Ding, Yun Chen, Yongwei Wang +4Dual-Domain Equivariant Generative Adversarial NetworkGenerative Adversarial Network

  52. Stabilizing Black-Box Prompt Optimization with Textual Regularization and Signal Aggregation

    Jul 14, 2025MohammadReza Davari, Utkarsh Garg, Weixin Cai +1Prior Prompt Optimization TechniquesAutomatic Prompt Optimization

  53. EquiReg: Equivariance Regularized Diffusion for Inverse Problems

    May 29, 2025Bahareh Tolooshams, Aditi Chandrashekar, Rayhan Zirvi +4Ill-Posed Inverse ProblemInverse Problem

  54. Path Regularization: A Near-Complete and Optimal Nonasymptotic Generalization Theory for Multilayer Neural Networks and Double Descent Phenomenon

    Mar 3, 2025Hao YuRegularization Techniques

  55. On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization

    Feb 1, 2025Runxiong Wu, Andi WangEmpirical Risk MinimizationPrimal-Dual Methods

  56. Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer

    Jan 18, 2025Haotian Lin, Matthew ReimherrKernel Ridge RegressionTransfer Learning

  57. On Regularization via Early Stopping for Least Squares Regression

    Jun 6, 2024Rishi Sonthalia, Jackie Lok, Elizaveta RebrovaKernel Ridge RegressionEarly Stopping

  58. Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets

    Mar 7, 2024Zixiong Yu, Guhan Chen, Jianfa Lai +2Over-Parameterized Neural NetworksResidual Connections

  59. Time-Varying Graph Learning with Constraints on Graph Temporal Variation

    Jan 10, 2020Haruki Yokota, Koki Yamada, Yuichi Tanaka +1SpatiotemporalTemporal Dynamics

  60. Deep learning methods for inverse problems using connections between proximal operators and Hamilton-Jacobi equations

    Date pendingOluwatosin Akande, Gabriel P. Langlois, Akwum OnwuntaIll-Posed Inverse ProblemInverse Problem