Estimating Example Difficulty Using Variance of Gradients

26 August 2020

Papers citing "Estimating Example Difficulty Using Variance of Gradients"

25 / 25 papers shown

Title
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers Quentin Guimard Moreno DÍncà Massimiliano Mancini Elisa Ricci SSL 72 0 0 29 Apr 2025
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation Estanislao Claucich Sara Hooker Diego H. Milone Enzo Ferrante Rodrigo Echeveste FedML 47 0 0 24 Jan 2025
Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin John Cooper Frederic Sala 83 5 0 05 Dec 2024
Targeted synthetic data generation for tabular data via hardness characterization Tommaso Ferracci Leonie Goldmann Anton Hinel Francesco Sanna Passino 120 0 0 01 Oct 2024
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget Vikash Sehwag Xianghao Kong Jingtao Li Michael Spranger Lingjuan Lyu DiffM 39 9 0 22 Jul 2024
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning E. Chimoto Jay Gala Orevaoghene Ahia Julia Kreutzer Bruce A. Bassett Sara Hooker VLM 34 4 0 29 May 2024
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang Jiawei Du Yunsong Li Weiying Xie Joey Tianyi Zhou 37 7 0 22 Nov 2023
Adaptivity and Modularity for Efficient Generalization Over Task Complexity Samira Abnar Omid Saremi Laurent Dinh Shantel Wilson Miguel Angel Bautista ... Vimal Thilak Etai Littwin Jiatao Gu Josh Susskind Samy Bengio 32 5 0 13 Oct 2023
Detecting Errors in a Numerical Response via any Regression Model Hang Zhou Jonas W. Mueller Mayank Kumar Jane-ling Wang Jing-Sheng Lei 23 0 0 26 May 2023
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics Nihal Murali A. Puli Ke Yu Rajesh Ranganath Kayhan Batmanghelich AAML 30 7 0 18 Feb 2023
Human not in the loop: objective sample difficulty measures for Curriculum Learning Zhengbo Zhou Jun-Jie Luo Dooman Arefan G. Kitamura Shandong Wu 13 1 0 02 Feb 2023
Don't Play Favorites: Minority Guidance for Diffusion Models Soo Bin Um Suhyeon Lee Jong Chul Ye DiffM 16 21 0 29 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation Younghyun Kim Sangwoo Mo Minkyu Kim Kyungmin Lee Jaeho Lee Jinwoo Shin 26 30 0 26 Jan 2023
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure Xiaoling Zhou Ou Wu Weiyao Zhu Ziyang Liang 25 2 0 12 Jan 2023
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 35 27 0 20 Sep 2022
Efficient Methods for Natural Language Processing: A Survey Marcos Vinícius Treviso Ji-Ung Lee Tianchu Ji Betty van Aken Qingqing Cao ... Emma Strubell Niranjan Balasubramanian Leon Derczynski Iryna Gurevych Roy Schwartz 28 109 0 31 Aug 2022
Selective Classification Via Neural Network Training Dynamics Stephan Rabanser Anvith Thudi Kimia Hamidieh Adam Dziedzic Nicolas Papernot 16 21 0 26 May 2022
The Effect of Task Ordering in Continual Learning Samuel J. Bell Neil D. Lawrence CLL 46 17 0 26 May 2022
How Useful are Gradients for OOD Detection Really? Conor Igoe Youngseog Chung I. Char J. Schneider OODD 27 23 0 20 May 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models Vikash Sehwag C. Hazirbas Albert Gordo Firat Ozgenel Cristian Canton Ferrer DiffM 25 66 0 31 Mar 2022
When less is more: Simplifying inputs aids neural network understanding R. Schirrmeister Rosanne Liu Sara Hooker T. Ball 19 5 0 14 Jan 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 58 114 0 06 Dec 2021
When does loss-based prioritization fail? Nie Hu Xinyu Hu Rosanne Liu Sara Hooker J. Yosinski 229 8 0 16 Jul 2021
Combining Ensembles and Data Augmentation can Harm your Calibration Yeming Wen Ghassen Jerfel Rafael Muller Michael W. Dusenberry Jasper Snoek Balaji Lakshminarayanan Dustin Tran UQCV 24 63 0 19 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016