DNN Prediction

Deep neural network (DNN) prediction focuses on improving the accuracy, reliability, and interpretability of DNN predictions across diverse applications. Current research emphasizes enhancing robustness through techniques like ensemble averaging and control-theoretic online adaptation, as well as quantifying prediction uncertainty using various methods categorized by uncertainty source (data vs. model). These advancements are crucial for deploying DNNs in high-stakes domains requiring trustworthy predictions and for gaining a better understanding of their decision-making processes, thereby increasing their reliability and acceptance in scientific and practical settings.

Papers

October 15, 2024

DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks
Zohreh Aghababaeyan, Manel Abdellatif, Lionel Briand, Ramesh S
Neural Network Deep Neural Network Adversarial Learning DNN Model Test Generation Differential Testing DNN Prediction

February 1, 2024

Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems
Jacob G. Elkins, Farbod Fahimi
Deep Neural Network Dynamical System DNN Framework Online Adaptation Fully Connected Deep Neural Network Parameter Control Theoretic DNN Prediction

February 26, 2023

A Comprehensive Survey on Uncertainty Quantification for Deep Learning
Wenchong He, Zhe Jiang
Deep Learning Deep Neural Network Uncertainty Quantification Comprehensive Survey Model Uncertainty Data Uncertainty DNN Prediction

January 17, 2023

Negative Flux Aggregation to Estimate Feature Attributions
Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu
Deep Neural Network Deep Learning Architecture Feature Attribution Attribution Map Aggregated Gradient Gradient Aggregation DNN Prediction

December 14, 2022

Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines
Michael Weiss, Paolo Tonella
Deep Learning Deep Neural Network Uncertainty Quantification Uncertainty Estimation Empirical Comparison DNN Prediction

June 17, 2022

Accelerating Shapley Explanation via Contributive Cooperator Selection
Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu
Shapley Value DNN Model DNN Prediction

March 7, 2022

Robust Modeling of Unknown Dynamical Systems via Ensemble Averaged Learning
Victor Churchill, Steve Manns, Zhen Chen, Dongbin Xiu
Deep Neural Network Dynamical System Generalization Error DNN Model Robust Model Ensemble Averaging DNN Prediction Low Generalization

December 2, 2021

Dimension-Free Average Treatment Effect Inference with Deep Neural Networks
Xinze Du, Yingying Fan, Jinchi Lv, Tianshu Sun, Patrick Vossler
Deep Neural Network Treatment Effect Deep Regression Average Treatment Effect Regression Function Deep Neural Network Estimator DNN Prediction