conftrace_

generalization performance

97 papers

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Co-occurring keywords

neural network (6616) neural network optimization (1293) stochastic gradient descent (1091) deep neural network (1803) gradient descent (1144) deep learning (2118) data augmentation (3052) loss landscape (149) learning rate (192) model selection (456)

Papers

Towards Better Generalization of Adaptive Gradient Methods NIPS 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures NIPS 2020
Distributed Kernel Ridge Regression with Communications JMLR 2020
Regularizing Neural Networks via Stochastic Branch Layers ACML 2019
Improving Model Selection by Employing the Test Data ICML 2019
Data-Distortion Guided Self-Distillation for Deep Neural Networks AAAI 2019
Towards Reliable Learning for High Stakes Applications AAAI 2019
Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation AISTATS 2019
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets ACL 2019
Asymmetric Valleys: Beyond Sharp and Flat Local Minima NIPS 2019
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin AAAI 2019
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning AISTATS 2018
Supervised autoencoders: Improving generalization performance with unsupervised regularizers NIPS 2018
Improved Expressivity Through Dendritic Neural Networks NIPS 2018
Learning Compact Neural Networks with Regularization ICML 2018
Feature Quantization for Defending Against Distortion of Images CVPR 2018
The Marginal Value of Adaptive Gradient Methods in Machine Learning NIPS 2017
Multi-Class Optimal Margin Distribution Machine ICML 2017
Asymptotic behavior of Support Vector Machine for spiked population model JMLR 2017
Low-Rank Matrix Approximation with Stability ICML 2016
Two-Layer Multiple Kernel Learning AISTATS 2011
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation JMLR 2010