Deep Active Learning in the Presence of Label Noise: A Survey

22 February 2023

Papers citing "Deep Active Learning in the Presence of Label Noise: A Survey"

8 / 8 papers shown

Title
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise Moseli Motsóehli Hope Mogale Kyungim Baek 38 0 0 07 May 2025
Unique Rashomon Sets for Robust Active Learning Simon Nugyen Kentaro Hoffman Tyler H. McCormick 69 0 0 13 Mar 2025
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review Moseli Motsóehli VLM 3DV 32 0 0 28 Jun 2024
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. Bayan Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 75 58 0 30 Jun 2022
Bottleneck Transformers for Visual Recognition A. Srinivas Nayeon Lee Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 290 980 0 27 Jan 2021
UniPose: Unified Human Pose Estimation in Single Images and Videos Bruno Artacho Andreas E. Savakis 133 135 0 22 Jan 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 91 294 0 13 Sep 2019
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 315 36,381 0 25 Aug 2016