Confident Learning: Estimating Uncertainty in Dataset Labels

31 October 2019

Papers citing "Confident Learning: Estimating Uncertainty in Dataset Labels"

50 / 276 papers shown

Title
Improving Label Error Detection and Elimination with Uncertainty Quantification Johannes Jakubik Michael Vossing M. Maskey Christopher Wolfle G. Satzger 25 0 0 15 May 2024
Ambiguous Annotations: When is a Pedestrian not a Pedestrian? Luisa Schwirten Jannes Scholz Daniel Kondermann Janis Keuper 25 2 0 14 May 2024
Class-wise Activation Unravelling the Engima of Deep Double Descent Yufei Gu 28 0 0 13 May 2024
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition Elena Merdjanovska Ansar Aynetdinov Alan Akbik NoLa 21 1 0 13 May 2024
Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search Zachary Coalson Huazheng Wang Qingyun Wu Sanghyun Hong OOD AAML 26 0 0 09 May 2024
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models Anshuman Chhabra Bo Li Jian Chen Prasant Mohapatra Hongfu Liu TDI 18 0 0 06 May 2024
Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection Colby R. Banbury Emil Njor Matthew P. Stewart Pete Warden M. Kudlur Nat Jeffries Xenofon Fafoutis Vijay Janapa Reddi VLM 31 0 0 01 May 2024
Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking Hong Jin Kang Fabrice Harel-Canada Muhammad Ali Gulzar Violet Peng Miryung Kim 25 2 0 29 Apr 2024
Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation Xingyue Zhao Zhongyu Li Xiangde Luo Peiqi Li Peng Huang ... Yang Liu Jihua Zhu Meng Yang Shih-Wei Chang Jun Dong 23 3 0 23 Apr 2024
Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes Song Wang Yiliang Zhou Ziqiang Han Cui Tao Yunyu Xiao Ying Ding Joydeep Ghosh Yifan Peng 25 0 0 28 Mar 2024
Vulnerability Detection with Code Language Models: How Far Are We? Yangruibo Ding Yanjun Fu Omniyyah Ibrahim Chawin Sitawarin Xinyun Chen Basel Alomair David A. Wagner Baishakhi Ray Yizheng Chen AAML 41 43 0 27 Mar 2024
Automated Data Curation for Robust Language Model Fine-Tuning Jiuhai Chen Jonas W. Mueller ALM 34 19 0 19 Mar 2024
Active Label Correction for Semantic Segmentation with Foundation Models Hoyoung Kim S. Hwang Suha Kwak Jungseul Ok VLM 24 1 0 16 Mar 2024
Mitigating Label Noise on Graph via Topological Sample Selection Yuhao Wu Jiangchao Yao Xiaobo Xia Jun-chen Yu Ruxing Wang Bo Han Tongliang Liu NoLa 42 2 0 04 Mar 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip H. S. Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 33 13 0 21 Feb 2024
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review Daniel Schwabe Katinka Becker Martin Seyferth Andreas Klass Tobias Schäffter 29 19 0 21 Feb 2024
3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection Zhanqiang Guo Zimeng Tan Jianjiang Feng Jie Zhou 3DPC 22 10 0 19 Feb 2024
Measuring and Reducing LLM Hallucination without Gold-Standard Answers Jiaheng Wei Yuanshun Yao Jean-François Ton Hongyi Guo Andrew Estornell Yang Liu HILM 50 18 0 16 Feb 2024
Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought Zhen-Yu Zhang Siwei Han Huaxiu Yao Gang Niu Masashi Sugiyama LLMAG LRM 11 1 0 10 Feb 2024
ID-NeRF: Indirect Diffusion-guided Neural Radiance Fields for Generalizable View Synthesis Yaokun Li Chao Gou Guang Tan DiffM 17 0 0 02 Feb 2024
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement Aaqib Saeed Dimitris Spathis Jungwoo Oh Edward Choi Ali Etemad NoLa 9 1 0 25 Jan 2024
TNANet: A Temporal-Noise-Aware Neural Network for Suicidal Ideation Prediction with Noisy Physiological Data Niqi Liu Fang Liu Wenqi Ji Xinxin Du Xu Liu Guozhen Zhao Wenting Mu Yong-jin Liu 14 0 0 23 Jan 2024
Robust Tiny Object Detection in Aerial Images amidst Label Noise Haoran Zhu Chang Xu Wen Yang Ruixiang Zhang Yan Zhang Gui-Song Xia NoLa 28 1 0 16 Jan 2024
Dataset Difficulty and the Role of Inductive Bias Devin Kwok Nikhil Anand Jonathan Frankle Gintare Karolina Dziugaite David Rolnick 28 5 0 03 Jan 2024
From Pixel to Slide image: Polarization Modality-based Pathological Diagnosis Using Representation Learning Jia Dong Yao Yao Yang Dong Hui Ma MedIm ViT 21 1 0 03 Jan 2024
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning Yixuan Zhang Boyu Li Zenan Ling Feng Zhou FaML 6 3 0 14 Dec 2023
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning Lisa Jöckel Michael Kläs Janek Groß Pascal Gerber Markus Scholz ... Marc Teschner Daniel Seifert Richard Hawkins John Molloy Jens Ottnad 11 0 0 08 Dec 2023
Better, Not Just More: Data-Centric Machine Learning for Earth Observation R. Roscher M. Rußwurm Caroline Gevaert Michael C. Kampffmeyer J. A. dos Santos ... Ronny Hansch Stine Hansen Keiller Nogueira Jonathan Prexl D. Tuia 29 10 0 08 Dec 2023
Understanding the Detrimental Class-level Effects of Data Augmentation Polina Kirichenko Mark Ibrahim Randall Balestriero Diane Bouchacourt Ramakrishna Vedantam Hamed Firooz Andrew Gordon Wilson 30 12 0 07 Dec 2023
An Empirical Study of Automated Mislabel Detection in Real World Vision Datasets Maya Srikanth Jeremy Irvin Brian Wesley Hill Felipe Godoy Ishan Sabane Andrew Y. Ng 24 2 0 02 Dec 2023
Accurate Segmentation of Optic Disc And Cup from Multiple Pseudo-labels by Noise-aware Learning Tengjin Weng Yang Shen Zhidong Zhao Zhiming Cheng Shuai Wang 17 0 0 30 Nov 2023
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance Christoph Kern Stephanie Eckman Jacob Beck Rob Chew Bolei Ma Frauke Kreuter 6 9 0 23 Nov 2023
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models Zhaowei Zhu Jialu Wang Hao Cheng Yang Liu 16 14 0 19 Nov 2023
CrashCar101: Procedural Generation for Damage Assessment Jens Parslov Erik Riise Dim P. Papadopoulos 6 1 0 11 Nov 2023
Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking Lefteris Loukas Ilias Stogiannidis Odysseas Diamantopoulos Prodromos Malakasiotis Stavros Vassos 10 43 0 10 Nov 2023
Unveiling Safety Vulnerabilities of Large Language Models George Kour Marcel Zalmanovici Naama Zwerdling Esther Goldbraich Ora Nova Fandina Ateret Anaby-Tavor Orna Raz E. Farchi AAML 16 13 0 07 Nov 2023
Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language Models Daniel Yang Aditya Kommineni Mohammad Alshehri Nilamadhab Mohanty Vedant Modi Jonathan Gratch Shrikanth Narayanan 13 3 0 06 Nov 2023
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey Xinyu She Yue Liu Yanjie Zhao Yiling He Li Li C. Tantithamthavorn Zhan Qin Haoyu Wang ELM 30 13 0 27 Oct 2023
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark Lasse Hansen Nabeel Seedat M. Schaar Andrija Petrović 30 17 0 25 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 28 1 0 25 Oct 2023
Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space Yufei Gu Xiaoqing Zheng T. Aste 19 3 0 20 Oct 2023
Quantifying and mitigating the impact of label errors on model disparity metrics Julius Adebayo Melissa Hall Bowen Yu Bobbie Chern 11 10 0 04 Oct 2023
Data Cleaning and Machine Learning: A Systematic Literature Review Pierre-Olivier Coté Amin Nikanjam Nafisa Ahmed D. Humeniuk Foutse Khomh 25 20 0 03 Oct 2023
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks Hao Chen Jindong Wang Ankit Shah Ran Tao Hongxin Wei Berfin cSimcsek Masashi Sugiyama Bhiksha Raj 22 26 0 29 Sep 2023
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models Daniele De Sensi Mingda Zhang Salvatore Di Girolamo Bing Wu Torsten Hoefler MLLM 14 2 0 28 Sep 2023
Learning with Noisy Labels for Human Fall Events Classification: Joint Cooperative Training with Trinity Networks Leiyu Xie Yang Sun S. M. Naqvi NoLa 19 0 0 27 Sep 2023
Unified Risk Analysis for Weakly Supervised Learning Chao-Kai Chiang Masashi Sugiyama 17 3 0 15 Sep 2023
Towards Reliable Dermatology Evaluation Benchmarks Fabian Gröger Simone Lionetti Philippe Gottfrois Alvaro Gonzalez-Jimenez Matthew Groh Roxana Daneshjou Labelling Consortium A. Navarini M. Pouly 8 4 0 13 Sep 2023
Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models Jiaying Lu Jinmeng Rao Kezhen Chen Xiaoyuan Guo Yawen Zhang Baochen Sun Carl Yang Jie Yang 19 11 0 07 Sep 2023
ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data Ulyana Tkachenko Aditya Thyagarajan Jonas W. Mueller 10 4 0 02 Sep 2023