Co-occurring keywords · papers mentioning both
Papers
Can gradient clipping mitigate label noise?
ICLR 2020
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
ICML 2020
Improved Analysis of Clipping Algorithms for Non-convex Optimization
NeurIPS 2020
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping
NeurIPS 2020
Understanding Generalization in Recurrent Neural Networks
ICLR 2020
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
NeurIPS 2020
Why are Adaptive Methods Good for Attention Models?
NeurIPS 2020
Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity
ICLR 2020
Differential Privacy Has Disparate Impact on Model Accuracy
NeurIPS 2019
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks
AISTATS 2019
Relativistic Monte Carlo
AISTATS 2017
Riemannian approach to batch normalization
NeurIPS 2017
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
CVPR 2016
On the difficulty of training recurrent neural networks
ICML 2013