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RATT: Leveraging Unlabeled Data to Guarantee Generalization

1 May 2021

Saurabh Garg

Sivaraman Balakrishnan

J. Zico Kolter

Zachary Chase Lipton

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Papers citing "RATT: Leveraging Unlabeled Data to Guarantee Generalization"

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Title
Supervised Models Can Generalize Also When Trained on Random Labels Oskar Allerbo Thomas B. Schön OOD SSL 119 0 0 16 May 2025
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 279 20 0 11 Feb 2025
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction Yangdi Lu Wenbo He 3DV 74 0 0 23 Jun 2024
Assessing Model Generalization in Vicinity Yuchi Liu Yifan Sun Jingdong Wang Liang Zheng AAML 59 0 0 13 Jun 2024
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy Elan Rosenfeld Saurabh Garg UQCV 68 7 0 01 Jun 2023
t-RAIN: Robust generalization under weather-aliasing label shift attacks Aboli Rajan Marathe Sanjana S. Prabhu OOD 72 0 0 15 May 2023
Explanation Shift: How Did the Distribution Shift Impact the Model? Carlos Mougan Klaus Broelemann David Masip Gjergji Kasneci Thanassis Thiropanis Steffen Staab FAtt 88 2 0 14 Mar 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 95 1 0 14 Mar 2023
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 87 4 0 08 Dec 2022
Why the pseudo label based semi-supervised learning algorithm is effective? Zeping Min Qian Ge Cheng Tai MLT 71 4 0 18 Nov 2022
Characterizing Datapoints via Second-Split Forgetting Pratyush Maini Saurabh Garg Zachary Chase Lipton J. Zico Kolter 82 34 0 26 Oct 2022
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space Carlos Mougan Klaus Broelemann Gjergji Kasneci T. Tiropanis Steffen Staab FAtt 64 7 0 22 Oct 2022
Domain Adaptation under Open Set Label Shift Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton OOD VLM 85 42 0 26 Jul 2022
Bounding generalization error with input compression: An empirical study with infinite-width networks A. Galloway A. Golubeva Mahmoud Salem Mihai Nica Yani Andrew Ioannou Graham W. Taylor MLT AI4CE 76 4 0 19 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 91 19 0 14 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney Maxime Peyrard Ehsan Abbasnejad 115 29 0 06 Jul 2022
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift Christina Baek Yiding Jiang Aditi Raghunathan Zico Kolter 108 88 0 27 Jun 2022
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton Behnam Neyshabur Hanie Sedghi OODD OOD 99 131 0 11 Jan 2022
Exploiting all samples in low-resource sentence classification: early stopping and initialization parameters Hongseok Choi Hyunju Lee 51 3 0 12 Nov 2021
Assessing Generalization of SGD via Disagreement Yiding Jiang Vaishnavh Nagarajan Christina Baek J. Zico Kolter 111 115 0 25 Jun 2021