Co-occurring keywords · papers mentioning both
Papers
Why Do We Need Weight Decay in Modern Deep Learning?
NeurIPS 2024
Why is SAM Robust to Label Noise?
ICLR 2024
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing
NeurIPS 2023
A Unified Approach to Controlling Implicit Regularization via Mirror Descent
JMLR 2023
Beyond the Edge of Stability via Two-step Gradient Updates
ICML 2023
Deterministic equivalent and error universality of deep random features learning
ICML 2023
Disentangling the Mechanisms Behind Implicit Regularization in SGD
ICLR 2023
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
ICLR 2023
Implicit Balancing and Regularization: Generalization and Convergence Guarantees for Overparameterized Asymmetric Matrix Sensing
COLT 2023
Implicit Jacobian regularization weighted with impurity of probability output
ICML 2023
Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion
JMLR 2023
Implicit Regularization for Group Sparsity
ICLR 2023
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
ICLR 2023
Implicit Regularization in Over-Parameterized Support Vector Machine
NeurIPS 2023
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression
ICML 2023
Implicit Regularization Towards Rank Minimization in ReLU Networks
ALT 2023
Incremental Learning in Diagonal Linear Networks
JMLR 2023
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
ICLR 2023
Naive imputation implicitly regularizes high-dimensional linear models
ICML 2023
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
NeurIPS 2023
On the spectral bias of two-layer linear networks
NeurIPS 2023
Pose-Free Neural Radiance Fields via Implicit Pose Regularization
ICCV 2023
Random Teachers are Good Teachers
ICML 2023
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization
NeurIPS 2023
(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
NeurIPS 2023