Regularization

Lifelong Learning with Sketched Structural Regularization ACML 2021 On the Inherent Regularization Effects of Noise Injection During Training ICML 2021 Regularising Fisher Information Improves Cross-lingual Generalisation EMNLP 2021 Regularized Inverse Reinforcement Learning ICLR 2021 Representation Costs of Linear Neural Networks: Analysis and Design NeurIPS 2021 Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021 Shape Matters: Understanding the Implicit Bias of the Noise Covariance COLT 2021 The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization NeurIPS 2021 T-vMF Similarity for Regularizing Intra-Class Feature Distribution CVPR 2021 Understanding Decoupled and Early Weight Decay AAAI 2021 Well-tuned Simple Nets Excel on Tabular Datasets NeurIPS 2021 Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks AAAI 2020 A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains AAAI 2020 A Unified Optimization Framework for Low-Rank Inducing Penalties CVPR 2020 Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks AAAI 2020 Certified Monotonic Neural Networks NeurIPS 2020 Do We Need Zero Training Loss After Achieving Zero Training Error? ICML 2020 Field-wise Learning for Multi-field Categorical Data NeurIPS 2020 Information-Theoretic Local Minima Characterization and Regularization ICML 2020 Meta Dropout: Learning to Perturb Latent Features for Generalization ICLR 2020 MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles NeurIPS 2020 Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance AAAI 2020 On the Optimal Weighted ℓ_2 Regularization in Overparameterized Linear Regression NeurIPS 2020 On the training dynamics of deep networks with L_2 regularization NeurIPS 2020 Quasi-Multitask Learning: an Efficient Surrogate for Obtaining Model Ensembles EMNLP 2020