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Just How Flexible are Neural Networks in Practice?

Just How Flexible are Neural Networks in Practice?

17 June 2024
Ravid Shwartz-Ziv
Micah Goldblum
Arpit Bansal
C. B. Bruss
Yann LeCun
Andrew Gordon Wilson
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Papers citing "Just How Flexible are Neural Networks in Practice?"

5 / 5 papers shown
Title
FairLoRA: Unpacking Bias Mitigation in Vision Models with
  Fairness-Driven Low-Rank Adaptation
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation
Rohan Sukumaran
Aarash Feizi
Adriana Romero-Sorian
G. Farnadi
34
1
0
22 Oct 2024
Coding schemes in neural networks learning classification tasks
Coding schemes in neural networks learning classification tasks
Alexander van Meegen
H. Sompolinsky
18
6
0
24 Jun 2024
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models
  across Computer Vision Tasks
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
Micah Goldblum
Hossein Souri
Renkun Ni
Manli Shu
Viraj Prabhu
...
Adrien Bardes
Judy Hoffman
Ramalingam Chellappa
Andrew Gordon Wilson
Tom Goldstein
VLM
68
62
0
30 Oct 2023
Stochastic Training is Not Necessary for Generalization
Stochastic Training is Not Necessary for Generalization
Jonas Geiping
Micah Goldblum
Phillip E. Pope
Michael Moeller
Tom Goldstein
81
72
0
29 Sep 2021
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
180
256
0
18 Apr 2021
1