← Optimization & Theory
Machine Learning › Optimization & Theory ›

Neural Network Optimization

3648 directly classified papers

Papers per year

Papers

Local Context Normalization: Revisiting Local Normalization CVPR 2020
MUXConv: Information Multiplexing in Convolutional Neural Networks CVPR 2020
SP-NAS: Serial-to-Parallel Backbone Search for Object Detection CVPR 2020
Differentiable Adaptive Computation Time for Visual Reasoning CVPR 2020
Training Quantized Neural Networks With a Full-Precision Auxiliary Module CVPR 2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation CVPR 2020
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework CVPR 2020
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition CVPR 2020
NAS-FCOS: Fast Neural Architecture Search for Object Detection CVPR 2020
Cloth in the Wind: A Case Study of Physical Measurement Through Simulation CVPR 2020
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization CVPR 2020
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function NIPS 2020
Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes NIPS 2020
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses NIPS 2020
Agnostic Learning of a Single Neuron with Gradient Descent NIPS 2020
Regularized linear autoencoders recover the principal components, eventually NIPS 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks NIPS 2020
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NIPS 2020
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification NIPS 2020
Escaping Saddle-Point Faster under Interpolation-like Conditions NIPS 2020
On Infinite-Width Hypernetworks NIPS 2020
Finite Versus Infinite Neural Networks: an Empirical Study NIPS 2020
Sparse Weight Activation Training NIPS 2020
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs NIPS 2020
Conformal Symplectic and Relativistic Optimization NIPS 2020