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A Note on "Assessing Generalization of SGD via Disagreement"

A Note on "Assessing Generalization of SGD via Disagreement"

3 February 2022
Andreas Kirsch
Y. Gal
    FedML
    UQCV
ArXivPDFHTML

Papers citing "A Note on "Assessing Generalization of SGD via Disagreement""

14 / 14 papers shown
Title
Toward a Holistic Evaluation of Robustness in CLIP Models
Toward a Holistic Evaluation of Robustness in CLIP Models
Weijie Tu
Weijian Deng
Tom Gedeon
VLM
34
5
0
02 Oct 2024
A Survey on Evaluation of Out-of-Distribution Generalization
A Survey on Evaluation of Out-of-Distribution Generalization
Han Yu
Jiashuo Liu
Xingxuan Zhang
Jiayun Wu
Peng Cui
OOD
42
9
0
04 Mar 2024
Beyond Top-Class Agreement: Using Divergences to Forecast Performance
  under Distribution Shift
Beyond Top-Class Agreement: Using Divergences to Forecast Performance under Distribution Shift
Mona Schirmer
Dan Zhang
Eric T. Nalisnick
11
0
0
13 Dec 2023
It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep
  Models
It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models
Lin Chen
Michal Lukasik
Wittawat Jitkrittum
Chong You
Sanjiv Kumar
29
2
0
13 Oct 2023
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative
  Models
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
Sebastian G. Gruber
Florian Buettner
UQCV
UD
13
1
0
09 Oct 2023
Effective Proxy for Human Labeling: Ensemble Disagreement Scores in
  Large Language Models for Industrial NLP
Effective Proxy for Human Labeling: Ensemble Disagreement Scores in Large Language Models for Industrial NLP
Wei Du
Laksh Advani
Yashmeet Gambhir
Daniel J. Perry
Prashant Shiralkar
Zhengzheng Xing
Aaron Colak
ALM
30
1
0
11 Sep 2023
Distance Matters For Improving Performance Estimation Under Covariate
  Shift
Distance Matters For Improving Performance Estimation Under Covariate Shift
Mélanie Roschewitz
Ben Glocker
11
1
0
14 Aug 2023
On the Joint Interaction of Models, Data, and Features
On the Joint Interaction of Models, Data, and Features
Yiding Jiang
Christina Baek
J. Zico Kolter
FedML
10
4
0
07 Jun 2023
Inconsistency, Instability, and Generalization Gap of Deep Neural
  Network Training
Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training
Rie Johnson
Tong Zhang
6
5
0
31 May 2023
Demystifying Disagreement-on-the-Line in High Dimensions
Demystifying Disagreement-on-the-Line in High Dimensions
Dong-Hwan Lee
Behrad Moniri
Xinmeng Huang
Edgar Dobriban
Hamed Hassani
8
8
0
31 Jan 2023
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
23
10
0
01 Dec 2022
Bounding generalization error with input compression: An empirical study
  with infinite-width networks
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
11
4
0
19 Jul 2022
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
216
1,391
0
04 Dec 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
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