AQuA: A Benchmarking Tool for Label Quality Assessment

AQuA: A Benchmarking Tool for Label Quality Assessment

15 June 2023

Mononito Goswami

Arvind Srinivasan

Chalisa Udompanyawit

Artur Dubrawski

Papers citing "AQuA: A Benchmarking Tool for Label Quality Assessment"

9 / 9 papers shown

Title
Investigating Compositional Reasoning in Time Series Foundation Models Willa Potosnak Cristian Challu Mononito Goswami Kin G. Olivares Michał Wiliński Nina Żukowska Artur Dubrawski ReLM AI4TS LRM 46 0 0 09 Feb 2025
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods Jiamian Hu Yuanyuan Hong Yihua Chen He Wang Moriaki Yasuhara 56 0 0 03 Dec 2024
MOMENT: A Family of Open Time-series Foundation Models Mononito Goswami Konrad Szafer Arjun Choudhry Yifu Cai Shuo Li Artur Dubrawski AIFin AI4TS 60 107 0 06 Feb 2024
Detecting Label Errors by using Pre-Trained Language Models Derek Chong Jenny Hong Christopher D. Manning NoLa 33 15 0 25 May 2022
Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu Zihao Dong Yang Liu NoLa 135 61 0 12 Oct 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 140 412 0 11 Dec 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014