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Active Learning from Weak and Strong Labelers

9 October 2015

Papers citing "Active Learning from Weak and Strong Labelers"

22 / 22 papers shown

Title
Probably Approximately Correct Labels Emmanuel J. Candès Andrew Ilyas Tijana Zrnic 123 0 0 12 Jun 2025
Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler Yifang Chen Karthik Sankararaman A. Lazaric Matteo Pirotta Dmytro Karamshuk Qifan Wang Karishma Mandyam Sinong Wang Han Fang 44 2 0 04 Nov 2022
Sample Efficient Learning of Predictors that Complement Humans Mohammad-Amin Charusaie Hussein Mozannar David Sontag Samira Samadi 73 34 0 19 Jul 2022
RIM: Reliable Influence-based Active Learning on Graphs Wentao Zhang Yexin Wang Zhenbang You Mengyao Cao Ping Huang Jiulong Shan Zhi-Xin Yang Tengjiao Wang 86 32 0 28 Oct 2021
Annotation Curricula to Implicitly Train Non-Expert Annotators Ji-Ung Lee Jan-Christoph Klie Iryna Gurevych 67 11 0 04 Jun 2021
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models Taraneh Younesian Chi Hong Amirmasoud Ghiassi Robert Birke L. Chen NoLa FedML 59 3 0 13 Nov 2020
Active Learning for Noisy Data Streams Using Weak and Strong Labelers Taraneh Younesian Dick H. J. Epema L. Chen 56 12 0 27 Oct 2020
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator Soufiane Belharbi Ismail Ben Ayed Luke McCaffrey Eric Granger VLM 75 30 0 10 Oct 2020
Consistent Estimators for Learning to Defer to an Expert Hussein Mozannar David Sontag 71 205 0 02 Jun 2020
Active Imitation Learning with Noisy Guidance Kianté Brantley Amr Sharaf Hal Daumé 76 24 0 26 May 2020
SoQal: Selective Oracle Questioning in Active Learning Dani Kiyasseh T. Zhu David Clifton 50 0 0 22 Apr 2020
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis Samuel Budd E. C. Robinson Bernhard Kainz LM&MA 73 485 0 07 Oct 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly Kirthevasan Kandasamy Karun Raju Vysyaraju Willie Neiswanger Biswajit Paria Christopher R. Collins J. Schneider Barnabás Póczós Eric Xing 89 176 0 15 Mar 2019
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback Chicheng Zhang Alekh Agarwal Hal Daumé John Langford S. Negahban 75 34 0 02 Jan 2019
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach Rajat Sen Kirthevasan Kandasamy Sanjay Shakkottai 36 23 0 24 Oct 2018
Discovering General-Purpose Active Learning Strategies Ksenia Konyushkova Raphael Sznitman Pascal Fua 95 35 0 09 Oct 2018
Bayesian Pool-based Active Learning With Abstention Feedbacks Cuong V Nguyen L. Ho Huan Xu Vu C. Dinh Binh T. Nguyen 48 0 0 23 May 2017
Efficient PAC Learning from the Crowd Pranjal Awasthi Avrim Blum Nika Haghtalab Yishay Mansour FedML 59 20 0 21 Mar 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 74 221 0 18 Mar 2017
The Multi-fidelity Multi-armed Bandit Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 53 37 0 30 Oct 2016
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems Pei-hao Su Milica Gasic N. Mrksic L. Rojas-Barahona Stefan Ultes David Vandyke Tsung-Hsien Wen S. Young OffRL 95 170 0 24 May 2016
Multi-fidelity Gaussian Process Bandit Optimisation Kirthevasan Kandasamy Gautam Dasarathy Junier B. Oliva J. Schneider Barnabás Póczós 101 77 0 20 Mar 2016