On the Calibration and Uncertainty of Neural Learning to Rank Models

12 January 2021

Papers citing "On the Calibration and Uncertainty of Neural Learning to Rank Models"

10 / 10 papers shown

Title
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models Tong Ye Shijing Si Jianzong Wang Ning Cheng Zhitao Li Jing Xiao 71 2 0 15 Mar 2023
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task Nyoungwoo Lee chaeHun Park Ho-Jin Choi Jaegul Choo 22 6 0 31 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 189 22 0 20 Oct 2022
Recommendation Systems with Distribution-Free Reliability Guarantees Anastasios Nikolas Angelopoulos K. Krauth Stephen Bates Yixin Wang Michael I. Jordan 40 12 0 04 Jul 2022
Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models Sanghwan Bae Donghyun Kwak Sungdong Kim Dong-hyun Ham Soyoung Kang Sang-Woo Lee W. Park ALM 28 37 0 30 Apr 2022
An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog Xingyao Wang David Jurgens 22 5 0 24 Sep 2021
Evaluating Predictive Uncertainty under Distributional Shift on Dialogue Dataset Nyoungwoo Lee chaeHun Park Ho-Jin Choi 36 0 0 01 Sep 2021
Fairness in Ranking under Uncertainty Ashudeep Singh David Kempe Thorsten Joachims 31 49 0 14 Jul 2021
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems Liu Yang Minghui Qiu Chen Qu J. Guo Yongfeng Zhang W. Bruce Croft Jun Huang Haiqing Chen 186 142 0 01 May 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016