Distributional Generalization: A New Kind of Generalization

17 September 2020

Papers citing "Distributional Generalization: A New Kind of Generalization"

10 / 10 papers shown

Title
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 21 0 0 09 Jan 2024
On the Variance of Neural Network Training with respect to Test Sets and Distributions Keller Jordan OOD 18 10 0 04 Apr 2023
Demystifying Disagreement-on-the-Line in High Dimensions Dong-Hwan Lee Behrad Moniri Xinmeng Huang Edgar Dobriban Hamed Hassani 21 8 0 31 Jan 2023
Variation-based Cause Effect Identification Mohamed Amine ben Salem Karim Barsim Bin Yang CML 24 0 0 22 Nov 2022
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting Neil Rohit Mallinar James B. Simon Amirhesam Abedsoltan Parthe Pandit M. Belkin Preetum Nakkiran 24 37 0 14 Jul 2022
A Note on "Assessing Generalization of SGD via Disagreement" Andreas Kirsch Y. Gal FedML UQCV 21 15 0 03 Feb 2022
Datamodels: Predicting Predictions from Training Data Andrew Ilyas Sung Min Park Logan Engstrom Guillaume Leclerc A. Madry TDI 38 130 0 01 Feb 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Ameya Prabhu Amartya Sanyal Ser-Nam Lim Philip H. S. Torr Ponnurangam Kumaraguru AAML ELM MU 29 47 0 17 Jan 2022
Revisiting Model Stitching to Compare Neural Representations Yamini Bansal Preetum Nakkiran Boaz Barak FedML 32 104 0 14 Jun 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016