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On Measuring Excess Capacity in Neural Networks
v1v2v3 (latest)

On Measuring Excess Capacity in Neural Networks

Neural Information Processing Systems (NeurIPS), 2022
16 February 2022
Florian Graf
Sebastian Zeng
Bastian Rieck
Marc Niethammer
Roland Kwitt
ArXiv (abs)PDFHTMLGithub (3★)

Papers citing "On Measuring Excess Capacity in Neural Networks"

7 / 7 papers shown
Title
Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks
Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit FeedbacksIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Antoine Ledent
Petr Kasalický
Rodrigo Alves
Hady W. Lauw
HAI
148
1
0
09 Sep 2025
Bootstrapping Diffusion: Diffusion Model Training Leveraging Partial and Corrupted Data
Bootstrapping Diffusion: Diffusion Model Training Leveraging Partial and Corrupted Data
Xudong Ma
206
0
0
17 May 2025
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach
Explainable Neural Networks with Guarantees: A Sparse Estimation ApproachAAAI Conference on Artificial Intelligence (AAAI), 2025
Antoine Ledent
Peng Liu
FAtt
586
0
0
20 Feb 2025
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
Arthur Jacot
Seok Hoan Choi
Yuxiao Wen
AI4CE
311
5
0
08 Jul 2024
Decorrelating neurons using persistence
Decorrelating neurons using persistence
Rubén Ballester
Carles Casacuberta
Sergio Escalera
170
1
0
09 Aug 2023
Transformed Low-Rank Parameterization Can Help Robust Generalization for
  Tensor Neural Networks
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
Andong Wang
Chong Li
Mingyuan Bai
Zhong Jin
Guoxu Zhou
Qianchuan Zhao
OODAAML
304
6
0
01 Mar 2023
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual LearningNeural Information Processing Systems (NeurIPS), 2022
Lorenzo Bonicelli
Matteo Boschini
Angelo Porrello
C. Spampinato
Simone Calderara
CLL
193
57
0
12 Oct 2022
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