A Tutorial on Fisher Information

2 May 2017

Papers citing "A Tutorial on Fisher Information"

26 / 26 papers shown

Title
Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data Xun Zhu Fanbin Mo Zheng Zhang Juan Wang Yiming Shi Ming Wu Chuang Zhang Miao Li Ji Wu 37 0 0 14 Apr 2025
A Metropolis-Adjusted Langevin Algorithm for Sampling Jeffreys Prior Yibo Shi Braghadeesh Lakshminarayanan Cristian R. Rojas 31 0 0 08 Apr 2025
Riemannian Optimization on Relaxed Indicator Matrix Manifold Jinghui Yuan Fangyuan Xie Feiping Nie Xuelong Li 77 0 0 26 Mar 2025
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization Bingdong Li Zixiang Di Yanting Yang Hong Qian Peng Yang Hao Hao Ke Tang Aimin Zhou MoMe 32 5 0 29 Jun 2024
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing Han Jiang Xiaoyuan Yi Zhihua Wei Shu Wang Xing Xie Xing Xie ALM ELM 59 5 0 20 Jun 2024
Universal adversarial perturbations for multiple classification tasks with quantum classifiers Yun-Zhong Qiu AAML 29 1 0 21 Jun 2023
Few-shot 3D Shape Generation Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 36 1 0 19 May 2023
MADDM: Multi-Advisor Dynamic Binary Decision-Making by Maximizing the Utility Zhaori Guo Timothy J. Norman E. Gerding 17 0 0 15 May 2023
WeditGAN: Few-Shot Image Generation via Latent Space Relocation Yuxuan Duan Li Niu Y. Hong Liqing Zhang 61 12 0 11 May 2023
Structural Neural Additive Models: Enhanced Interpretable Machine Learning Mattias Luber Anton Thielmann Benjamin Säfken 31 7 0 18 Feb 2023
Autonomous Local Catalog Maintenance of Close Proximity Satellite Systems on Closed Natural Motion Trajectories Christopher W. Hays Kristina Miller Alexander A. Soderlund S. Phillips T. Henderson 15 1 0 01 Feb 2023
Exploring Temporal Information Dynamics in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Anna Hambitzer Priyadarshini Panda 24 33 0 26 Nov 2022
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions Shuhao Gu Bojie Hu Yang Feng CLL 44 13 0 03 Nov 2022
Few-shot Image Generation via Masked Discrimination Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan 32 12 0 27 Oct 2022
DIRA: Dynamic Domain Incremental Regularised Adaptation Abanoub Ghobrial Xu Zheng Darryl Hond Hamid Asgari Kerstin Eder AI4CE 34 1 0 30 Apr 2022
Policy Gradients using Variational Quantum Circuits André Sequeira L. Santos Luis Soares Barbosa 44 11 0 20 Mar 2022
Acceleration of Federated Learning with Alleviated Forgetting in Local Training Chencheng Xu Zhiwei Hong Minlie Huang Tao Jiang FedML 34 46 0 05 Mar 2022
Relative Transformation Estimation Based on Fusion of Odometry and UWB Ranging Data T. Nguyen Lihua Xie 38 33 0 01 Feb 2022
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data Kumud Lakara Akshat Bhandari Pratinav Seth Ujjwal Verma OOD 32 3 0 08 Nov 2021
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis Yi Liu Yuanshao Zhu James J. Q. Yu FedML 32 28 0 14 Oct 2021
Bayes Factors for Peri-Null Hypotheses A. Ly E. Wagenmakers 32 16 0 14 Feb 2021
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning R. Awasthi K. K. Guliani Saif Ahmad Khan Aniket Vashishtha M. S. Gill Arshita Bhatt A. Nagori Aniket Gupta Ponnurangam Kumaraguru Tavpritesh Sethi 41 24 0 14 Sep 2020
Optimization of Graph Neural Networks with Natural Gradient Descent M. Izadi Yihao Fang R. Stevenson Lizhen Lin GNN 24 41 0 21 Aug 2020
Natural Gradient Shared Control Yoojin Oh Shaowen Wu Marc Toussaint Jim Mainprice 21 9 0 30 Jul 2020
Analytic Posteriors for Pearson's Correlation Coefficient A. Ly M. Marsman E. Wagenmakers 18 210 0 05 Oct 2015
Approximate Integrated Likelihood via ABC methods Clara Grazian B. Liseo 39 8 0 03 Mar 2014