Kazuki Osawa
4 papers · 2019–2023 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
π
Conference Polyglot
(3)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(12)
π§
Keyword Pioneer
π
Cross-Pollinator
(15)
Conferences
NIPS (2)
CVPR (1)
ICML (1)
Top co-authors
Keywords
deep learning
(2)
neural network optimization
(2)
variational inference
(1)
convergence analysis
(1)
distributed learning
(1)
fisher information
(1)
finite difference
(1)
natural gradient descent
(1)
distributed training
(1)
second-order optimization
(1)
convolutional neural network
(1)
implicit bia
(1)
bayesian deep learning
(1)
flat minima
(1)
generalization performance
(1)
diagonal linear network
(1)
gradient regularization
(1)
kronecker factorization
(1)
finite-difference computation
(1)
kronecker-factored approximate curvature
(1)
Papers
Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias
ICML 2023
Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks
NIPS 2020
Practical Deep Learning with Bayesian Principles
NIPS 2019
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks
CVPR 2019