gradient descent

Flatness-Aware Gradient Descent for Safe Conversational AI NAACL 2024 Full Parameter Fine-tuning for Large Language Models with Limited Resources ACL 2024 Fundamental Convergence Analysis of Sharpness-Aware Minimization NeurIPS 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning NeurIPS 2024 Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024 Generalization error of spectral algorithms ICLR 2024 Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning NeurIPS 2024 GGD: Grafting Gradient Descent JMLR 2024 Globally Convergent Variational Inference NeurIPS 2024 Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024 Gradient descent in matrix factorization: Understanding large initialization UAI 2024 Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm JMLR 2024 Gradient Reweighting: Towards Imbalanced Class-Incremental Learning CVPR 2024 Gradient Rewiring for Editable Graph Neural Network Training NeurIPS 2024 GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent AAAI 2024 GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data ICLR 2024 Graph Neural Networks Use Graphs When They Shouldn’t ICML 2024 GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models AISTATS 2024 Grokking as the transition from lazy to rich training dynamics ICLR 2024 Grokking phase transitions in learning local rules with gradient descent JMLR 2024 Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery JMLR 2024 Harnessing small projectors and multiple views for efficient vision pretraining NeurIPS 2024 Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models NeurIPS 2024 How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks NeurIPS 2024 How does PDE order affect the convergence of PINNs? NeurIPS 2024