Active Deep Learning on Entity Resolution by Risk Sampling

23 December 2020

Papers citing "Active Deep Learning on Entity Resolution by Risk Sampling"

26 / 26 papers shown

Title
Distribution-Free, Risk-Controlling Prediction Sets Stephen Bates Anastasios Nikolas Angelopoulos Lihua Lei Jitendra Malik Michael I. Jordan OOD 253 198 0 07 Jan 2021
Cost-effective Variational Active Entity Resolution Alex Bogatu N. Paton Mark Douthwaite Stuart Davie André Freitas 44 9 0 20 Nov 2020
Deep Entity Matching with Pre-Trained Language Models Yuliang Li Jinfeng Li Yoshihiko Suhara A. Doan W. Tan VLM 72 381 0 01 Apr 2020
A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching Venkata Vamsikrishna Meduri Lucian Popa Prithviraj Sen Mohamed Sarwat FedML 53 57 0 29 Mar 2020
Towards Interpretable and Learnable Risk Analysis for Entity Resolution Zhaoqiang Chen Qun Chen Boyi Hou Tianyi Duan Zhanhuai Li Guoliang Li 91 22 0 06 Dec 2019
Addressing Failure Prediction by Learning Model Confidence Charles Corbière Nicolas Thome Avner Bar-Hen Matthieu Cord P. Pérez 96 287 0 01 Oct 2019
Discriminative Active Learning Daniel Gissin Shai Shalev-Shwartz 50 178 0 15 Jul 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning Andreas Kirsch Joost R. van Amersfoort Y. Gal FedML 87 627 0 19 Jun 2019
Batch Active Learning Using Determinantal Point Processes Erdem Biyik Kenneth Wang Nima Anari Dorsa Sadigh 60 62 0 19 Jun 2019
Low-resource Deep Entity Resolution with Transfer and Active Learning Jungo Kasai Kun Qian Sairam Gurajada Yunyao Li Lucian Popa 62 139 0 17 Jun 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash Chicheng Zhang A. Krishnamurthy John Langford Alekh Agarwal BDL UQCV 85 773 0 09 Jun 2019
Bayesian Generative Active Deep Learning Toan M. Tran Thanh-Toan Do Ian Reid G. Carneiro 96 136 0 26 Apr 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 119 579 0 31 Mar 2019
Fairness risk measures Robert C. Williamson A. Menon FaML 141 140 0 24 Jan 2019
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms Erich Schubert P. Rousseeuw 33 270 0 12 Oct 2018
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 174 472 0 30 May 2018
Stable Recurrent Models John Miller Moritz Hardt 53 119 0 25 May 2018
r-HUMO: A Risk-Aware Human-Machine Cooperation Framework for Entity Resolution with Quality Guarantees Boyi Hou Qun Chen Zhaoqiang Chen Youcef Nafa Zhanhuai Li 19 12 0 15 Mar 2018
Adversarial Active Learning for Deep Networks: a Margin Based Approach Mélanie Ducoffe F. Precioso GAN AAML 138 274 0 27 Feb 2018
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation Ling Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Chen MedIm 71 504 0 15 Jun 2017
Cost-Effective Active Learning for Deep Image Classification Keze Wang Dongyu Zhang Ya Li Ruimao Zhang Liang Lin VLM 90 679 0 13 Jan 2017
Active Learning for Speech Recognition: the Power of Gradients Jiaji Huang R. Child Vinay Rao Hairong Liu S. Satheesh Adam Coates VLM 54 64 0 10 Dec 2016
A Benchmark and Comparison of Active Learning for Logistic Regression Yazhou Yang Marco Loog 56 151 0 25 Nov 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 155 3,452 0 07 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,306 0 06 Jun 2015
Bayesian Active Learning for Classification and Preference Learning N. Houlsby Ferenc Huszár Zoubin Ghahramani M. Lengyel 112 912 0 24 Dec 2011