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gradient descent

1,421 papers

GD

Papers

GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing ICCV 2025 Global Convergence in Neural ODEs: Impact of Activation Functions ICLR 2025 Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult JMLR 2025 Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models ACL 2025 Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation AAAI 2025 Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes ICML 2025 Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing AAAI 2025 Grokking at the Edge of Linear Separability ICML 2025 Grokking Beyond the Euclidean Norm of Model Parameters ICML 2025 How Gradient descent balances features: A dynamical analysis for two-layer neural networks ICLR 2025 How rotation invariant algorithms are fooled by noise on sparse targets ALT 2025 How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias ICML 2025 How Well Can Transformers Emulate In-Context Newton’s Method? AISTATS 2025 Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks ICML 2025 Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent ICML 2025 Improving Adversarial Transferability via Decision Boundary Adaptation UAI 2025 In-Context Deep Learning via Transformer Models ICML 2025 Injecting Imbalance Sensitivity for Multi-Task Learning IJCAI 2025 Input Space Mode Connectivity in Deep Neural Networks ICLR 2025 Instability, Computational Efficiency and Statistical Accuracy JMLR 2025 Large Scale Knowledge Washing ICLR 2025 Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality JMLR 2025 Latent Process Models for Functional Network Data JMLR 2025 Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods ICLR 2025 Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms AAAI 2025