Cover Image

Regularizing cross entropy loss via minimum entropy and K-L divergence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Ibraheem, Abdulrahman Oladipupo
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A margin-based replacement for cross-entropy loss
by: Spratling, Michael W., et al.
Published: (2025)

A series of maximum entropy upper bounds of the differential entropy
by: Nielsen, Frank, et al.
Published: (2016)

Tensor-to-Tensor Models with Fast Iterated Sum Features
by: Diehl, Joscha, et al.
Published: (2025)

Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images
by: Cengiz, Sevim, et al.
Published: (2025)

Achieving 3D Attention via Triplet Squeeze and Excitation Block
by: Alhazmi, Maan, et al.
Published: (2025)

KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems
by: Kheirandish, Alireza, et al.
Published: (2026)

Improved AutoEncoder with LSTM module and KL divergence
by: Huang, Wei, et al.
Published: (2024)

Sparse Domain Transfer via Elastic Net Regularization
by: Zhang, Jingwei, et al.
Published: (2024)

Improving Adversarial Robustness of Attribution via Implicit Regularization
by: Mehrpanah, Amir, et al.
Published: (2026)

Improving Hyperbolic Representations via Gromov-Wasserstein Regularization
by: Yang, Yifei, et al.
Published: (2024)

BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers
by: Al-Habib, Mohammed, et al.
Published: (2025)

Inverse problems with diffusion models: MAP estimation via mode-seeking loss
by: Gutha, Sai Bharath Chandra, et al.
Published: (2025)

Reducing Class-Wise Performance Disparity via Margin Regularization
by: Zhu, Beier, et al.
Published: (2026)

Diverse via bounded Agreement: Geometric Regularization for Multimodal Fusion
by: Xia, Zixuan, et al.
Published: (2026)

Boosting Adversarial Training via Fisher-Rao Norm-based Regularization
by: Yin, Xiangyu, et al.
Published: (2024)

WEEP: A Differentiable Nonconvex Sparse Regularizer via Weakly-Convex Envelope
by: Furuhashi, Takanobu, et al.
Published: (2025)

Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
by: Zheng, Kaiwen, et al.
Published: (2025)

Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization
by: Huang, Yan, et al.
Published: (2025)

Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data
by: Kerim, Abdulrahman, et al.
Published: (2024)

Disentangle and Regularize: Sign Language Production with Articulator-Based Disentanglement and Channel-Aware Regularization
by: Tasyurek, Sumeyye Meryem, et al.
Published: (2025)

Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization
by: Ding, Xin, et al.
Published: (2025)

Visualizing the loss landscape of Self-supervised Vision Transformer
by: Lee, Youngwan, et al.
Published: (2024)

Gradient-Regularized Out-of-Distribution Detection
by: Sharifi, Sina, et al.
Published: (2024)

Adaptive Discriminative Regularization for Visual Classification
by: Zhao, Qingsong, et al.
Published: (2022)

Visualizing high-dimensional loss landscapes with Hessian directions
by: Böttcher, Lucas, et al.
Published: (2022)

SinSim: Sinkhorn-Regularized SimCLR
by: Sepanj, M. Hadi, et al.
Published: (2025)

ERDE: Entropy-Regularized Distillation for Early-exit
by: Guidez, Martial, et al.
Published: (2025)

Spectral Wavelet Dropout: Regularization in the Wavelet Domain
by: Cakaj, Rinor, et al.
Published: (2024)

On the Trajectory Regularity of ODE-based Diffusion Sampling
by: Chen, Defang, et al.
Published: (2024)

Structure by Architecture: Structured Representations without Regularization
by: Leeb, Felix, et al.
Published: (2020)

FogGuard: guarding YOLO against fog using perceptual loss
by: Gharatappeh, Soheil, et al.
Published: (2024)

A hierarchical loss and its problems when classifying non-hierarchically
by: Wu, Cinna, et al.
Published: (2017)

Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
by: Luo, Haocheng, et al.
Published: (2025)

DiRe: Diversity-promoting Regularization for Dataset Condensation
by: Mohanty, Saumyaranjan, et al.
Published: (2025)

Towards Adversarially Robust Dataset Distillation by Curvature Regularization
by: Xue, Eric, et al.
Published: (2024)

SMaRt: Improving GANs with Score Matching Regularity
by: Xia, Mengfei, et al.
Published: (2023)

Soft Equivariance Regularization for Invariant Self-Supervised Learning
by: Lee, Joohyung, et al.
Published: (2026)

Improved Regularization and Robustness for Fine-tuning in Neural Networks
by: Li, Dongyue, et al.
Published: (2021)

Thermodynamically Optimal Regularization under Information-Geometric Constraints
by: Caraffa, Laurent
Published: (2026)

GReAT: A Graph Regularized Adversarial Training Method
by: Bayram, Samet, et al.
Published: (2023)