Optimal Sample Selection Through Uncertainty Estimation and Its
Application in Deep Learning

Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

5 September 2023

Yong Lin

Tong Zhang

Papers citing "Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning"

7 / 7 papers shown

Title
From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System Rohan Surana Junda Wu Zhouhang Xie Yu Xia Harald Steck Dawen Liang Nathan Kallus Julian McAuley 26 0 0 21 Apr 2025
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints Xiaobo Xia Jiale Liu Shaokun Zhang Qingyun Wu Hongxin Wei Tongliang Liu 42 9 0 15 Nov 2023
Active Prompting with Chain-of-Thought for Large Language Models Shizhe Diao Pengcheng Wang Yong Lin Tong Zhang ReLM KELM LLMAG LRM 26 119 0 23 Feb 2023
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions Jiafan He Dongruo Zhou Tong Zhang Quanquan Gu 61 46 0 13 May 2022
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 88 188 0 27 Feb 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 249 36,362 0 25 Aug 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 282 9,136 0 06 Jun 2015