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Regularization

97 directly classified papers

Papers per year

Papers

To Smooth or Not? When Label Smoothing Meets Noisy Labels ICML 2022
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks AAAI 2022
Wind Prediction under Random Data Corruption (Student Abstract) AAAI 2022
Boundary Smoothing for Named Entity Recognition ACL 2022
Prediction Difference Regularization against Perturbation for Neural Machine Translation ACL 2022
Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection ACL 2022
Improving Neural Political Statement Classification with Class Hierarchical Information ACL 2022
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization EMNLP 2022
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity NIPS 2022
The Implicit Delta Method NIPS 2022
From Label Smoothing to Label Relaxation AAAI 2021
On the Inherent Regularization Effects of Noise Injection During Training ICML 2021
T-vMF Similarity for Regularizing Intra-Class Feature Distribution CVPR 2021
Well-tuned Simple Nets Excel on Tabular Datasets NIPS 2021
Understanding Decoupled and Early Weight Decay AAAI 2021
Interpolation can hurt robust generalization even when there is no noise NIPS 2021
Learning the optimal Tikhonov regularizer for inverse problems NIPS 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks AAAI 2021
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization AAAI 2021
Information-Theoretic Local Minima Characterization and Regularization ICML 2020
Do We Need Zero Training Loss After Achieving Zero Training Error? ICML 2020
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles NIPS 2020
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks ICML 2020
Regularizing Class-Wise Predictions via Self-Knowledge Distillation CVPR 2020
Regularizing Neural Networks via Minimizing Hyperspherical Energy CVPR 2020