NeurIPS 2020 Competition: Predicting Generalization in Deep Learning

NeurIPS 2020 Competition: Predicting Generalization in Deep Learning

14 December 2020

Gintare Karolina Dziugaite

Suriya Gunasekar

Isabelle M Guyon

Behnam Neyshabur Google Research

Papers citing "NeurIPS 2020 Competition: Predicting Generalization in Deep Learning"

17 / 17 papers shown

Title
A Model Zoo on Phase Transitions in Neural Networks Konstantin Schurholt Léo Meynent Yefan Zhou Haiquan Lu Yaoqing Yang Damian Borth 68 0 0 25 Apr 2025
SEER: Self-Explainability Enhancement of Large Language Models' Representations Guanxu Chen Dongrui Liu Tao Luo Jing Shao LRM MILM 67 1 0 07 Feb 2025
Understanding Generalization in Quantum Machine Learning with Margins Tak Hur Daniel K. Park AI4CE 26 1 0 11 Nov 2024
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget Vikash Sehwag Xianghao Kong Jingtao Li Michael Spranger Lingjuan Lyu DiffM 44 9 0 22 Jul 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 40 0 0 14 Jun 2024
Input margins can predict generalization too Coenraad Mouton Marthinus W. Theunissen Marelie Hattingh Davel AAML UQCV AI4CE 18 3 0 29 Aug 2023
Fantastic DNN Classifiers and How to Identify them without Data Nathaniel R. Dean D. Sarkar 21 1 0 24 May 2023
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy Biling Wang M. Dohopolski T. Bai Junjie Wu R. Hannan ... D. Nguyen Mu-Han Lin Robert Timmerman Xinlei Wang Steve B. Jiang 28 2 0 11 Oct 2022
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data Yaoqing Yang Ryan Theisen Liam Hodgkinson Joseph E. Gonzalez Kannan Ramchandran Charles H. Martin Michael W. Mahoney 86 17 0 06 Feb 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks Felix Biggs Benjamin Guedj BDL 30 26 0 03 Feb 2022
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks Tolga Birdal Aaron Lou Leonidas J. Guibas Umut cSimcsekli 21 61 0 25 Nov 2021
In Search of Probeable Generalization Measures Jonathan Jaegerman Khalil Damouni M. M. Ankaralı Konstantinos N. Plataniotis 19 2 0 23 Oct 2021
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning Yehuda Dar Vidya Muthukumar Richard G. Baraniuk 29 71 0 06 Sep 2021
Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics Charles H. Martin Michael W. Mahoney 13 19 0 01 Jun 2021
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 110 146 0 06 Nov 2019
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning Charles H. Martin Michael W. Mahoney AI4CE 30 190 0 02 Oct 2018
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 119 577 0 27 Feb 2015