Regularization

Revisiting Structured Dropout ACML 2023 Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning ACL 2023 TokenDrop + BucketSampler: Towards Efficient Padding-free Fine-tuning of Language Models EMNLP 2023 Adversarial Unlearning: Reducing Confidence Along Adversarial Directions NeurIPS 2022 A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective NeurIPS 2022 Boundary Smoothing for Named Entity Recognition ACL 2022 DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization ICLR 2022 Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection ACL 2022 Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm COLT 2022 Local Feature Swapping for Generalization in Reinforcement Learning ICLR 2022 Neuron with Steady Response Leads to Better Generalization NeurIPS 2022 PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks AAAI 2022 Prediction Difference Regularization against Perturbation for Neural Machine Translation ACL 2022 SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks NeurIPS 2022 The Effects of Regularization and Data Augmentation are Class Dependent NeurIPS 2022 The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy CVPR 2022 Why neural networks find simple solutions: The many regularizers of geometric complexity NeurIPS 2022 Adaptive Knowledge Driven Regularization for Deep Neural Networks AAAI 2021 AutoDropout: Learning Dropout Patterns to Regularize Deep Networks AAAI 2021 Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks NeurIPS 2021 Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning ACML 2021 Implicit Regularization in ReLU Networks with the Square Loss COLT 2021 Improving Multilingual Translation by Representation and Gradient Regularization EMNLP 2021 MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract) AAAI 2021 On Linear Stability of SGD and Input-Smoothness of Neural Networks NeurIPS 2021