Co-occurring keywords · papers mentioning both
Papers
Do Regularization Methods for Shortcut Mitigation Work As Intended?
AISTATS 2025
Regularizing Learnable Feature Extraction for Automatic Speech Recognition
Interspeech 2025
From Generalization Analysis to Optimization Designs for State Space Models
ICML 2024
The Mystery of the Pathological Path-star Task for Language Models
EMNLP 2024
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis
EACL 2024
A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection
AISTATS 2023
Calibrating a Deep Neural Network with Its Predecessors
IJCAI 2023
Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective
ICCV 2023
Maximizing Ensemble Diversity in Deep Reinforcement Learning
ICLR 2022
Noisy Label Regularisation for Textual Regression
COLING 2022
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
AAAI 2021
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
AAAI 2020
Information-Theoretic Local Minima Characterization and Regularization
ICML 2020
Multimodal Image Outpainting With Regularized Normalized Diversification
WACV 2020
Regularization on Spatio-Temporally Smoothed Feature for Action Recognition
CVPR 2020
Regularized Context Gates on Transformer for Machine Translation
ACL 2020
Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee
ICLR 2020
A Regularization-based Framework for Bilingual Grammar Induction
EMNLP 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
ICLR 2019
Representation Degeneration Problem in Training Natural Language Generation Models
ICLR 2019
Regularized Policy Iteration with Nonparametric Function Spaces
JMLR 2016