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Label-Imbalanced and Group-Sensitive Classification under Overparameterization

2 March 2021

Ganesh Ramachandra Kini

Orestis Paraskevas

Samet Oymak

Christos Thrampoulidis

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Papers citing "Label-Imbalanced and Group-Sensitive Classification under Overparameterization"

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Title
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Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks Xiangyu Chang Yingcong Li Samet Oymak Christos Thrampoulidis 63 50 0 16 Dec 2020
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Prevalence of Neural Collapse during the terminal phase of deep learning training Vardan Papyan Xuemei Han D. Donoho 205 582 0 18 Aug 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 123 712 0 14 Jul 2020
Gradient descent follows the regularization path for general losses Ziwei Ji Miroslav Dudík Robert Schapire Matus Telgarsky AI4CE FaML 141 62 0 19 Jun 2020
Noise or Signal: The Role of Image Backgrounds in Object Recognition Kai Y. Xiao Logan Engstrom Andrew Ilyas Aleksander Madry 143 387 0 17 Jun 2020
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions Hossein Taheri Ramtin Pedarsani Christos Thrampoulidis 66 28 0 16 Jun 2020
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Classification vs regression in overparameterized regimes: Does the loss function matter? Vidya Muthukumar Adhyyan Narang Vignesh Subramanian M. Belkin Daniel J. Hsu A. Sahai 92 151 0 16 May 2020
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Generalization Error of Generalized Linear Models in High Dimensions M Motavali Emami Mojtaba Sahraee-Ardakan Parthe Pandit S. Rangan A. Fletcher AI4CE 40 38 0 01 May 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 318 466 0 11 Mar 2020
The role of regularization in classification of high-dimensional noisy Gaussian mixture Francesca Mignacco Florent Krzakala Yue M. Lu Lenka Zdeborová 40 90 0 26 Feb 2020
On the Role of Dataset Quality and Heterogeneity in Model Confidence Yuan Zhao Jiasi Chen Samet Oymak 43 14 0 23 Feb 2020
Sharp Asymptotics and Optimal Performance for Inference in Binary Models Hossein Taheri Ramtin Pedarsani Christos Thrampoulidis 69 25 0 17 Feb 2020
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss Lénaïc Chizat Francis R. Bach MLT 133 341 0 11 Feb 2020
$A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum-$\ell_1$-Norm Interpolated Classifiers$ A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum- $\ell_1$ -Norm Interpolated Classifiers Tengyuan Liang Pragya Sur 82 70 0 05 Feb 2020
Analytic Study of Double Descent in Binary Classification: The Impact of Loss Ganesh Ramachandra Kini Christos Thrampoulidis 64 52 0 30 Jan 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 92 102 0 06 Jan 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 293 802 0 05 Dec 2019
Deep Double Descent: Where Bigger Models and More Data Hurt Preetum Nakkiran Gal Kaplun Yamini Bansal Tristan Yang Boaz Barak Ilya Sutskever 123 945 0 04 Dec 2019
Adjusting Decision Boundary for Class Imbalanced Learning Byungju Kim Junmo Kim 134 76 0 04 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 108 1,248 0 20 Nov 2019
A Model of Double Descent for High-dimensional Binary Linear Classification Zeyu Deng A. Kammoun Christos Thrampoulidis 85 148 0 13 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 126 415 0 06 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 180 1,222 0 21 Oct 2019
Does SLOPE outperform bridge regression? Shuaiwen Wang Haolei Weng A. Maleki 58 19 0 20 Sep 2019
Distributionally Robust Language Modeling Yonatan Oren Shiori Sagawa Tatsunori B. Hashimoto Percy Liang OOD 73 175 0 04 Sep 2019
The generalization error of random features regression: Precise asymptotics and double descent curve Song Mei Andrea Montanari 97 639 0 14 Aug 2019
Benign Overfitting in Linear Regression Peter L. Bartlett Philip M. Long Gábor Lugosi Alexander Tsigler MLT 88 778 0 26 Jun 2019
Universality in Learning from Linear Measurements Ehsan Abbasi Fariborz Salehi B. Hassibi 126 22 0 20 Jun 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 127 1,607 0 18 Jun 2019
The Impact of Regularization on High-dimensional Logistic Regression Fariborz Salehi Ehsan Abbasi B. Hassibi 99 103 0 10 Jun 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 151 1,163 0 10 Apr 2019
Fundamental Barriers to High-Dimensional Regression with Convex Penalties Michael Celentano Andrea Montanari 75 47 0 25 Mar 2019
Two models of double descent for weak features M. Belkin Daniel J. Hsu Ji Xu 106 375 0 18 Mar 2019
Fairness risk measures Robert C. Williamson A. Menon FaML 149 141 0 24 Jan 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 202 2,289 0 16 Jan 2019
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? Samet Oymak Mahdi Soltanolkotabi ODL 53 177 0 25 Dec 2018
What is the Effect of Importance Weighting in Deep Learning? Jonathon Byrd Zachary Chase Lipton 98 465 0 08 Dec 2018
50 Years of Test (Un)fairness: Lessons for Machine Learning Ben Hutchinson Margaret Mitchell AILaw FaML 65 360 0 25 Nov 2018
The distribution of the Lasso: Uniform control over sparse balls and adaptive parameter tuning Léo Miolane Andrea Montanari 86 93 0 03 Nov 2018