Prior Value Estimate

Prior value estimation focuses on leveraging pre-existing knowledge or learned information to improve the efficiency and accuracy of various machine learning tasks. Current research explores its application across diverse fields, including reinforcement learning (using prior value functions to accelerate training), diffusion models (employing prior distributions to speed up inference), and natural language processing (distilling Bayesian priors into neural networks for improved generalization). This technique offers significant potential for enhancing model performance, particularly in scenarios with limited data or computational constraints, leading to more efficient and robust algorithms across numerous applications.

Papers

May 1, 2024

ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under Uncertainties
Jiahui Li, Tianle Shen, Zekai Gu, Jiawei Sun, Chengran Yuan, Yuhang Han, Shuo Sun, Marcelo H. Ang
Diffusion Model Motion Prediction Motion Forecasting High Uncertainty Value Multi Agent Motion Prediction Prior Value Estimate Pedestrian Prediction Model

February 24, 2024

A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning
Shuyu Yin, Qixuan Zhou, Fei Wen, Tao Luo
Reinforcement Learning Loss Function Generalization Error Deep Reinforcement Residual Network Control Problem Prior Value Estimate

May 24, 2023

Modeling rapid language learning by distilling Bayesian priors into artificial neural networks
R. Thomas McCoy, Thomas L. Griffiths
Neural Network Strong Generalization Natural Language Inductive Bias Prior Value Estimate

April 13, 2023

Toward Reliable Human Pose Forecasting with Uncertainty
Saeed Saadatnejad, Mehrshad Mirmohammadi, Matin Daghyani, Parham Saremi, Yashar Zoroofchi Benisi, Amirhossein Alimohammadi, Zahra Tehraninasab, Taylor Mordan, Alexandre Alahi
High Uncertainty Anticipation Uncertainty Estimation Pose Forecasting Future Human Pose Prior Value Estimate

February 2, 2023

Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning
Md Masudur Rahman, Yexiang Xue
Reinforcement Learning Deep Reinforcement Learning Policy Gradient Value Function DQN Agent Prior Value Estimate

September 27, 2022

Improving Radiology Report Generation Systems by Removing Hallucinated References to Non-existent Priors
Vignav Ramesh, Nathan Andrew Chi, Pranav Rajpurkar
Radiology Report Generation Medical Information Mart for Intensive Clinical Narrative Free Text Radiology Prior Value Estimate

June 6, 2022

Class Prior Estimation under Covariate Shift: No Problem?
Dirk Tasche
Covariate Shift Right Problem Relevant Covariates Target Distribution Class Prior Prior Value Estimate

Prior Value Estimate

Papers

ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under Uncertainties

A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning

Modeling rapid language learning by distilling Bayesian priors into artificial neural networks

Toward Reliable Human Pose Forecasting with Uncertainty

Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning

Improving Radiology Report Generation Systems by Removing Hallucinated References to Non-existent Priors

Class Prior Estimation under Covariate Shift: No Problem?