Regularization – Page 47 – GrooveSquid.com

July 13, 2025

Summary of Interpretabnet: Distilling Predictive Signals From Tabular Data by Salient Feature Interpretation, By Jacob Si et al.

InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretationby Jacob Si, Wendy Yusi…

July 13, 2025

Summary of Activation-descent Regularization For Input Optimization Of Relu Networks, by Hongzhan Yu et al.

Activation-Descent Regularization for Input Optimization of ReLU Networksby Hongzhan Yu, Sicun GaoFirst submitted to arxiv…

July 13, 2025

Summary of Stochastic Adversarial Networks For Multi-domain Text Classification, by Xu Wang and Yuan Wu

Stochastic Adversarial Networks for Multi-Domain Text Classificationby Xu Wang, Yuan WuFirst submitted to arxiv on:…

July 13, 2025

Summary of Predictive Uncertainty Quantification For Bird’s Eye View Segmentation: a Benchmark and Novel Loss Function, by Linlin Yu et al.

Predictive Uncertainty Quantification for Bird’s Eye View Segmentation: A Benchmark and Novel Loss Functionby Linlin…

July 13, 2025

Summary of Improving Generalization and Convergence by Enhancing Implicit Regularization, By Mingze Wang et al.

Improving Generalization and Convergence by Enhancing Implicit Regularizationby Mingze Wang, Jinbo Wang, Haotian He, Zilin…

July 13, 2025

Summary of Sparsity Regularization Via Tree-structured Environments For Disentangled Representations, by Elliot Layne et al.

Sparsity regularization via tree-structured environments for disentangled representationsby Elliot Layne, Jason Hartford, Sébastien Lachapelle, Mathieu…

July 13, 2025

Summary of Enhancing Performance For Highly Imbalanced Medical Data Via Data Regularization in a Federated Learning Setting, by Georgios Tsoumplekas et al.

Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Settingby…

July 13, 2025

Summary of Interpretabnet: Distilling Predictive Signals From Tabular Data by Salient Feature Interpretation, By Jacob Si et al.

Summary of Activation-descent Regularization For Input Optimization Of Relu Networks, by Hongzhan Yu et al.

Summary of Stochastic Adversarial Networks For Multi-domain Text Classification, by Xu Wang and Yuan Wu

Summary of Predictive Uncertainty Quantification For Bird’s Eye View Segmentation: a Benchmark and Novel Loss Function, by Linlin Yu et al.

Summary of Improving Generalization and Convergence by Enhancing Implicit Regularization, By Mingze Wang et al.

Summary of Sparsity Regularization Via Tree-structured Environments For Disentangled Representations, by Elliot Layne et al.

Summary of Enhancing Performance For Highly Imbalanced Medical Data Via Data Regularization in a Federated Learning Setting, by Georgios Tsoumplekas et al.

Summary of Disentangling and Mitigating the Impact Of Task Similarity For Continual Learning, by Naoki Hiratani

Summary of Adaptive Advantage-guided Policy Regularization For Offline Reinforcement Learning, by Tenglong Liu et al.

Summary of Inference-time Alignment Of Diffusion Models with Direct Noise Optimization, by Zhiwei Tang et al.