conftrace_

fisher information

106 papers

Explore in graph

Also known as

FI

Co-occurring keywords

bayesian inference (1907) neural network (6616) fisher information matrix (46) information theory (491) transfer learning (5449) information geometry (37) continual learning (1181) catastrophic forgetting (958) maximum likelihood (255) neural network optimization (1293)

Papers

Fisher Information Guidance for Learned Time-of-Flight Imaging CVPR 2022
Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract) IJCAI 2022
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization ICML 2022
A Functional Information Perspective on Model Interpretation ICML 2022
Unifying Importance Based Regularisation Methods for Continual Learning AISTATS 2022
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games ICML 2022
Finite-Sample Maximum Likelihood Estimation of Location NIPS 2022
Towards a Theory of Non-Log-Concave Sampling:First-Order Stationarity Guarantees for Langevin Monte Carlo COLT 2022
Fisher SAM: Information Geometry and Sharpness Aware Minimisation ICML 2022
Gone Fishing: Neural Active Learning with Fisher Embeddings NIPS 2021
On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix L4DC 2021
Measuring data leakage in machine-learning models with Fisher information UAI 2021
Adversarial Training Reduces Information and Improves Transferability AAAI 2021
Pointwise Bounds for Distribution Estimation under Communication Constraints NIPS 2021
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding NAACL 2021
Group Fisher Pruning for Practical Network Compression ICML 2021
Regularising Fisher Information Improves Cross-lingual Generalisation EMNLP 2021
Interactive Label Cleaning with Example-based Explanations NIPS 2021
Training Neural Networks with Fixed Sparse Masks NIPS 2021
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers NIPS 2021
Minimax Bounds for Generalized Linear Models NIPS 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies NIPS 2020
Lower Bounds for Learning Distributions under Communication Constraints via Fisher Information JMLR 2020
On the interplay between noise and curvature and its effect on optimization and generalization AISTATS 2020
Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks NIPS 2020