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. 2301.11375
  4. Cited By
Neural networks learn to magnify areas near decision boundaries

Neural networks learn to magnify areas near decision boundaries

26 January 2023
Jacob A. Zavatone-Veth
Sheng Yang
Julian Rubinfien
C. Pehlevan
    MLT
    AI4CE
ArXivPDFHTML

Papers citing "Neural networks learn to magnify areas near decision boundaries"

5 / 5 papers shown
Title
Compositional Generalization Requires More Than Disentangled Representations
Compositional Generalization Requires More Than Disentangled Representations
Qiyao Liang
Daoyuan Qian
Liu Ziyin
Ila Fiete
DRL
OCL
CoGe
136
0
0
30 Jan 2025
Spectral regularization for adversarially-robust representation learning
Spectral regularization for adversarially-robust representation learning
Sheng Yang
Jacob A. Zavatone-Veth
C. Pehlevan
AAML
OOD
49
0
0
27 May 2024
Learning curves for deep structured Gaussian feature models
Learning curves for deep structured Gaussian feature models
Jacob A. Zavatone-Veth
C. Pehlevan
MLT
20
11
0
01 Mar 2023
A singular Riemannian geometry approach to Deep Neural Networks I.
  Theoretical foundations
A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations
A. Benfenati
A. Marta
51
11
0
17 Dec 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,106
0
27 Apr 2021
1