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Neural Network Optimization

3,648 papers

Papers per year

Papers

Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks NIPS 2023
Automatic Integration for Fast and Interpretable Neural Point Processes L4DC 2023
A Fully First-Order Method for Stochastic Bilevel Optimization ICML 2023
Implicit Jacobian regularization weighted with impurity of probability output ICML 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology ICML 2023
Implicit Regularization in Over-Parameterized Support Vector Machine NIPS 2023
Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise NIPS 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023
Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks JMLR 2023
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time NIPS 2023
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts EMNLP 2023
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix NIPS 2023
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation NIPS 2023
Feature-Learning Networks Are Consistent Across Widths At Realistic Scales NIPS 2023
Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information ACML 2023
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond AISTATS 2023
Achieving $\mathcal{O}(\epsilon^{-1.5})$ Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization NIPS 2023
A Theoretical Analysis of the Learning Dynamics under Class Imbalance ICML 2023
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods ACML 2023
Hard Sample Aware Prompt-Tuning ACL 2023
Continuous-time Analysis of Anchor Acceleration NIPS 2023
On the spectral bias of two-layer linear networks NIPS 2023
Generalization bounds for neural ordinary differential equations and deep residual networks NIPS 2023
Why Random Pruning Is All We Need to Start Sparse ICML 2023
DINER: Disorder-Invariant Implicit Neural Representation CVPR 2023