Co-occurring keywords · papers mentioning both
Papers
Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value
NeurIPS 2023
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods
NeurIPS 2023
Boosting Active Learning via Improving Test Performance
AAAI 2022
On the Importance of Gradient Norm in PAC-Bayesian Bounds
NeurIPS 2022
Oracle Complexity in Nonsmooth Nonconvex Optimization
JMLR 2022
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
ICML 2022
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums
AISTATS 2022
Pruning has a disparate impact on model accuracy
NeurIPS 2022
Revisit last-iterate convergence of mSGD under milder requirement on step size
NeurIPS 2022
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity
WACV 2022
Temporal Effective Batch Normalization in Spiking Neural Networks
NeurIPS 2022
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance
COLT 2022
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm
ICML 2021
A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast
NeurIPS 2021
Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning
NeurIPS 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training
NeurIPS 2021
Fast and Memory Efficient Differentially Private-SGD via JL Projections
NeurIPS 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
NeurIPS 2021
Parameter-free, Dynamic, and Strongly-Adaptive Online Learning
ICML 2020
The Complexity of Finding Stationary Points with Stochastic Gradient Descent
ICML 2020
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization
NeurIPS 2019
Sorting Out Lipschitz Function Approximation
ICML 2019
How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD
NeurIPS 2018
BING: Binarized Normed Gradients for Objectness Estimation at 300fps
CVPR 2014