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InBiaseD: Inductive Bias Distillation to Improve Generalization and
  Robustness through Shape-awareness

InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness

12 June 2022
Shruthi Gowda
Bahram Zonooz
Elahe Arani
ArXiv (abs)PDFHTML

Papers citing "InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness"

4 / 4 papers shown
Title
Can We Break Free from Strong Data Augmentations in Self-Supervised
  Learning?
Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?
Shruthi Gowda
Elahe Arani
Bahram Zonooz
111
1
0
15 Apr 2024
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory
  Systems for Lifelong Learning
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning
Shruthi Gowda
Bahram Zonooz
Elahe Arani
59
3
0
17 Oct 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model
  Robustness
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness
M. K. Yucel
R. G. Cinbis
Pinar Duygulu
AAML
67
10
0
21 Jul 2023
LSFSL: Leveraging Shape Information in Few-shot Learning
LSFSL: Leveraging Shape Information in Few-shot Learning
Deepan Padmanabhan
Shruthi Gowda
Elahe Arani
Bahram Zonooz
64
8
0
13 Apr 2023
1