Deep learning from crowds

6 September 2017

Filipe Rodrigues

Francisco Câmara Pereira

FedML

NoLa

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Papers citing "Deep learning from crowds"

23 / 23 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 35 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 31 0 0 11 May 2023
Multi-annotator Deep Learning: A Probabilistic Framework for Classification M. Herde Denis Huseljic Bernhard Sick 38 9 0 05 Apr 2023
Learning from Noisy Crowd Labels with Logics Zhijun Chen Hailong Sun Haoqian He Pengpeng Chen NoLa NAI 32 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 16 2 0 01 Dec 2022
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation Barbara Plank 30 97 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 46 1 0 05 Aug 2022
SVGraph: Learning Semantic Graphs from Instructional Videos Madeline Chantry Schiappa Yogesh S Rawat 17 4 0 16 Jul 2022
Self-Supervised Learning for Videos: A Survey Madeline Chantry Schiappa Yogesh S Rawat M. Shah SSL 36 131 0 18 Jun 2022
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future Jan-Christoph Klie Bonnie Webber Iryna Gurevych 42 43 0 05 Jun 2022
Video Transformers: A Survey Javier Selva A. S. Johansen Sergio Escalera Kamal Nasrollahi T. Moeslund Albert Clapés ViT 22 103 0 16 Jan 2022
Clean or Annotate: How to Spend a Limited Data Collection Budget Derek Chen Zhou Yu Samuel R. Bowman 37 13 0 15 Oct 2021
Breaking the Dilemma of Medical Image-to-image Translation Lingke Kong Chenyu Lian Detian Huang Zhenjiang Li Yanle Hu Qichao Zhou GAN MedIm 58 138 0 13 Oct 2021
Truth Discovery in Sequence Labels from Crowds Nasim Sabetpour Adithya Kulkarni Sihong Xie Qi Li 39 16 0 09 Sep 2021
End-to-End Weak Supervision Salva Rühling Cachay Benedikt Boecking A. Dubrawski NoLa 33 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 29 5 0 29 Jun 2021
Cisco at AAAI-CAD21 shared task: Predicting Emphasis in Presentation Slides using Contextualized Embeddings Sreyan Ghosh Sonal Kumar H. Jalan Hemant Yadav R. Shah 26 2 0 10 Jan 2021
Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels Peter Washington Cezmi Mutlu É. Leblanc A. Kline C. Hou ... N. Stockham K. Paskov Catalin Voss Nick Haber Dennis Paul Wall 26 22 0 10 Jan 2021
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing Hanlu Wu Tengfei Ma Lingfei Wu S. Ji FedML 21 11 0 25 Oct 2020
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO Pablo Morales-Álvarez Pablo Ruiz S. Coughlin Rafael Molina Aggelos K. Katsaggelos 21 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 58 2,028 0 18 Apr 2018
Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification Vaibhav Sinha Sukrut Rao V. Balasubramanian 13 28 0 07 Mar 2018