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← Optimization & Theory
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Optimization & Theory
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Regularization
54 directly classified papers
Papers per year
2015: 1
2016: 1
2017: 2
2018: 6
2019: 5
2020: 13
2021: 11
2022: 6
2023: 5
2024: 3
2025: 1
Papers
Drop Dropout on Single Epoch Language Model Pretraining
ACL 2025
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
AAAI 2024
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
NIPS 2024
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
CVPR 2024
Exploring Robust Overfitting for Pre-trained Language Models
ACL 2023
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks
AAAI 2023
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning
ACL 2023
Regularization of Polynomial Networks for Image Recognition
CVPR 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework
AAAI 2023
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
NIPS 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
NIPS 2022
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy
CVPR 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions
NIPS 2022
The Effects of Regularization and Data Augmentation are Class Dependent
NIPS 2022
Boundary Smoothing for Named Entity Recognition
ACL 2022
MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract)
AAAI 2021
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization
NIPS 2021
Improving Multilingual Translation by Representation and Gradient Regularization
EMNLP 2021
Understanding Decoupled and Early Weight Decay
AAAI 2021
Regularizing Neural Networks via Adversarial Model Perturbation
CVPR 2021
Adaptive Knowledge Driven Regularization for Deep Neural Networks
AAAI 2021
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening
CVPR 2021
Regularising Fisher Information Improves Cross-lingual Generalisation
EMNLP 2021
Simple and Effective Stochastic Neural Networks
AAAI 2021
T-vMF Similarity for Regularizing Intra-Class Feature Distribution
CVPR 2021
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