The Effects of Regularization and Data Augmentation are Class Dependent

7 April 2022

Papers citing "The Effects of Regularization and Data Augmentation are Class Dependent"

50 / 54 papers shown

Title
Narrowing Class-Wise Robustness Gaps in Adversarial Training Fatemeh Amerehi Patrick Healy 40 0 0 20 Mar 2025
Elliptic Loss Regularization Ali Hasan Haoming Yang Yuting Ng Vahid Tarokh 73 1 0 04 Mar 2025
Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm Yilang Zhang Bingcong Li G. Giannakis AAML 39 0 0 11 Jan 2025
Class-Aware Contrastive Optimization for Imbalanced Text Classification Grigorii Khvatskii Nuno Moniz Khoa D. Doan Nitesh V. Chawla 28 0 0 29 Oct 2024
The Fair Language Model Paradox Andrea Pinto Tomer Galanti Randall Balestriero 25 0 0 15 Oct 2024
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models Andrei Margeloiu Xiangjian Jiang Nikola Simidjievski M. Jamnik 35 5 0 24 Sep 2024
Convolutional Neural Network Compression Based on Low-Rank Decomposition Yaping He Linhao Jiang Di Wu 41 0 0 29 Aug 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology Eric Zimmermann Eugene Vorontsov Julian Viret Adam Casson Michal Zelechowski ... Razik Yousfi Thomas J. Fuchs Nicolò Fusi Siqi Liu Kristen Severson MedIm 33 29 0 01 Aug 2024
Class-specific Data Augmentation for Plant Stress Classification Nasla Saleem Aditya Balu Talukder Zaki Jubery Arti Singh Asheesh Kumar Singh Soumik Sarkar Baskar Ganapathysubramanian 44 1 0 18 Jun 2024
Representation Debiasing of Generated Data Involving Domain Experts Aditya Bhattacharya Simone Stumpf K. Verbert 39 2 0 17 May 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 43 1 0 06 May 2024
Adapting Self-Supervised Learning for Computational Pathology Eric Zimmermann Neil Tenenholtz James Hall George Shaikovski Michal Zelechowski ... Fausto Milletari Julian Viret Eugene Vorontsov Siqi Liu Kristen Severson OOD 43 1 0 02 May 2024
Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition Yunbing Jia Xiaoyu Kong Fan Tang Yixing Gao Weiming Dong Yi Yang 66 2 0 28 Apr 2024
Can We Break Free from Strong Data Augmentations in Self-Supervised Learning? Shruthi Gowda Elahe Arani Bahram Zonooz 36 1 0 15 Apr 2024
AI Competitions and Benchmarks: Dataset Development Romain Egele Julio C. S. Jacques Junior Jan N. van Rijn Isabelle M Guyon Xavier Baró Albert Clapés Prasanna Balaprakash Sergio Escalera T. Moeslund Jun Wan 42 0 0 15 Apr 2024
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series Tien-Yu Chang Hao Dai Vincent S. Tseng AI4TS 31 0 0 01 Apr 2024
SF(DA) $^2$ : Source-free Domain Adaptation Through the Lens of Data Augmentation Uiwon Hwang Jonghyun Lee Juhyeon Shin Sungroh Yoon 36 10 0 16 Mar 2024
Poly-View Contrastive Learning Amitis Shidani Devon Hjelm Jason Ramapuram Russ Webb Eeshan Gunesh Dhekane Dan Busbridge VLM SSL 34 4 0 08 Mar 2024
A data-centric approach to class-specific bias in image data augmentation Athanasios Angelakis Andrey Rass 37 0 0 07 Mar 2024
A Generative Model of Symmetry Transformations J. Allingham Bruno Mlodozeniec Shreyas Padhy Javier Antorán David Krueger Richard E. Turner Eric T. Nalisnick José Miguel Hernández-Lobato GAN 42 3 0 04 Mar 2024
Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance Chiraag Kaushik Ran Liu Chi-Heng Lin Amrit Khera Matthew Y Jin Wenrui Ma Vidya Muthukumar Eva L. Dyer 43 3 0 18 Feb 2024
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI Jon Middleton Marko Bauer Kaining Sheng Jacob Johansen Mathias Perslev Silvia Ingala Mads Nielsen A. Pai 28 1 0 12 Jan 2024
Class-wise Generalization Error: an Information-Theoretic Analysis Firas Laakom Yuheng Bu Moncef Gabbouj 33 0 0 05 Jan 2024
GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning Aarash Feizi Randall Balestriero Adriana Romero Soriano Reihaneh Rabbany 26 0 0 03 Jan 2024
Quality-Diversity Generative Sampling for Learning with Synthetic Data Allen Chang Matthew C. Fontaine Serena Booth Maja J. Matarić Stefanos Nikolaidis 42 1 0 22 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 45 12 0 07 Dec 2023
Negotiated Representations for Machine Mearning Application Nuri Korhan Samet Bayram 16 1 0 19 Nov 2023
AdaFlood: Adaptive Flood Regularization Wonho Bae Yi Ren Mohamad Osama Ahmed Frederick Tung Danica J. Sutherland Gabriel L. Oliveira AI4CE 42 1 0 06 Nov 2023
Class-Specific Data Augmentation: Bridging the Imbalance in Multiclass Breast Cancer Classification Kanan Mahammadli Abdullah Burkan Bereketoglu A. Kabakcı 35 0 0 15 Oct 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum Chengkai Hou Jieyu Zhang Dinesh Manocha 29 15 0 09 Sep 2023
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets Lorenzo Brigato S. Mougiakakou 27 3 0 04 Sep 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration Ran Liu Sahil Khose Jingyun Xiao Lakshmi Sathidevi Keerthan Ramnath Z. Kira Eva L. Dyer 34 3 0 28 Aug 2023
The Effects of Mixed Sample Data Augmentation are Class Dependent Haeil Lee Han S. Lee Junmo Kim 37 1 0 18 Jul 2023
A Study on Deep CNN Structures for Defect Detection From Laser Ultrasonic Visualization Testing Images Miya Nakajima Takahiro Saitoh Tsuyoshi Kato 29 2 0 23 May 2023
No Free Lunch in Self Supervised Representation Learning Ihab Bendidi Adrien Bardes E. Cohen Alexis Lamiable Guillaume Bollot Auguste Genovesio OOD 49 11 0 23 Apr 2023
Data-Centric Learning from Unlabeled Graphs with Diffusion Model Gang Liu Eric Inae Tong Zhao Jiaxin Xu Te Luo Meng Jiang DiffM 31 23 0 17 Mar 2023
FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling Wei-Yin Ko Daniel D'souza Karina Nguyen Randall Balestriero Sara Hooker FedML 19 11 0 01 Mar 2023
Rethinking Soft Label in Label Distribution Learning Perspective Seungbum Hong Jihun Yoon Bogyu Park Min-Kook Choi 31 0 0 31 Jan 2023
Input Perturbation Reduces Exposure Bias in Diffusion Models Mang Ning E. Sangineto Angelo Porrello Simone Calderara Rita Cucchiara DiffM 21 64 0 27 Jan 2023
ModelDiff: A Framework for Comparing Learning Algorithms Harshay Shah Sung Min Park Andrew Ilyas A. Madry SyDa 51 26 0 22 Nov 2022
A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion Recognition Benjia Zhou Pichao Wang Jun Wan Yan-Ni Liang Fan Wang 34 17 0 16 Nov 2022
Soft Augmentation for Image Classification Yang Liu Shen Yan Laura Leal-Taixé James Hays Deva Ramanan 29 11 0 09 Nov 2022
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations Badr Youbi Idrissi Diane Bouchacourt Randall Balestriero Ivan Evtimov C. Hazirbas Nicolas Ballas Pascal Vincent M. Drozdzal David Lopez-Paz Mark Ibrahim VLM ViT 48 45 0 03 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang Yanchao Sun Jiahao Su Fengxiang He Xinmei Tian Furong Huang Dinesh Manocha Dacheng Tao 38 13 0 02 Nov 2022
Saliency Can Be All You Need In Contrastive Self-Supervised Learning Veysel Kocaman O. M. Shir Thomas Bäck A. Belbachir 19 1 0 30 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 34 117 0 20 Oct 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization Jonas Geiping Micah Goldblum Gowthami Somepalli Ravid Shwartz-Ziv Tom Goldstein A. Wilson 26 35 0 12 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 35 26 0 10 Oct 2022
Effective Vision Transformer Training: A Data-Centric Perspective Benjia Zhou Pichao Wang Jun Wan Yan-Ni Liang Fan Wang 26 5 0 29 Sep 2022
Spatial Entropy as an Inductive Bias for Vision Transformers E. Peruzzo E. Sangineto Yahui Liu Marco De Nadai Wei Bi Bruno Lepri N. Sebe ViT MDE 31 1 0 09 Jun 2022