Deep learning from crowds

Deep learning from crowds

6 September 2017

Filipe Rodrigues

Francisco Câmara Pereira

Papers citing "Deep learning from crowds"

16 / 16 papers shown

Title
Mixture of Experts based Multi-task Supervise Learning from Crowds Tao Han Huaixuan Shi Xinyi Ding Xiao Ma Huamao Gu Yili Fang 24 0 0 18 Jul 2024
Cost-efficient Crowdsourcing for Span-based Sequence Labeling: Worker Selection and Data Augmentation Yujie Wang Chaorui Huang Liner Yang Zhixuan Fang Yaping Huang Yang Liu Erhong Yang 15 0 0 11 May 2023
Multi-annotator Deep Learning: A Probabilistic Framework for Classification M. Herde Denis Huseljic Bernhard Sick 19 9 0 05 Apr 2023
Learning from Noisy Crowd Labels with Logics Zhijun Chen Hailong Sun Haoqian He Pengpeng Chen NoLa NAI 22 7 0 13 Feb 2023
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters Junde Wu Huihui Fang Yehui Yang Yuanpei Liu Jing Gao Lixin Duan Weihua Yang Yanwu Xu 11 2 0 01 Dec 2022
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation Barbara Plank 27 96 0 04 Nov 2022
CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators Hui Wen Goh Ulyana Tkachenko Jonas W. Mueller 19 10 0 13 Oct 2022
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle Junde Wu Huihui Fang Hoayi Xiong Lixin Duan Mingkui Tan Weihua Yang Huiying Liu Yanwu Xu MedIm 38 1 0 05 Aug 2022
Self-Supervised Learning for Videos: A Survey Madeline Chantry Schiappa Y. S. Rawat M. Shah SSL 26 131 0 18 Jun 2022
Video Transformers: A Survey Javier Selva A. S. Johansen Sergio Escalera Kamal Nasrollahi T. Moeslund Albert Clapés ViT 20 102 0 16 Jan 2022
Clean or Annotate: How to Spend a Limited Data Collection Budget Derek Chen Zhou Yu Samuel R. Bowman 27 13 0 15 Oct 2021
Truth Discovery in Sequence Labels from Crowds Nasim Sabetpour Adithya Kulkarni Sihong Xie Qi Li 25 16 0 09 Sep 2021
End-to-End Weak Supervision Salva Rühling Cachay Benedikt Boecking A. Dubrawski NoLa 25 40 0 05 Jul 2021
Learning from Multiple Annotators by Incorporating Instance Features Jingzheng Li Hailong Sun Jiyi Li Zhijun Chen Renshuai Tao Yufei Ge NoLa 21 5 0 29 Jun 2021
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO Pablo Morales-Álvarez Pablo Ruiz S. Coughlin Rafael Molina Aggelos K. Katsaggelos 16 14 0 05 Nov 2019
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 9 2,025 0 18 Apr 2018