ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.19273
  4. Cited By
The Memory Perturbation Equation: Understanding Model's Sensitivity to
  Data

The Memory Perturbation Equation: Understanding Model's Sensitivity to Data

30 October 2023
Peter Nickl
Lu Xu
Dharmesh Tailor
Thomas Möllenhoff
Mohammad Emtiyaz Khan
ArXivPDFHTML

Papers citing "The Memory Perturbation Equation: Understanding Model's Sensitivity to Data"

4 / 4 papers shown
Title
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
Fuzhao Xue
Yao Fu
Wangchunshu Zhou
Zangwei Zheng
Yang You
79
75
0
22 May 2023
Variational Bayes Made Easy
Variational Bayes Made Easy
Mohammad Emtiyaz Khan
BDL
19
1
0
27 Apr 2023
Estimating Example Difficulty Using Variance of Gradients
Estimating Example Difficulty Using Variance of Gradients
Chirag Agarwal
Daniel D'souza
Sara Hooker
190
105
0
26 Aug 2020
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
74
266
0
13 Jun 2018
1