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Deep Neural Network Training with Frank-Wolfe

Deep Neural Network Training with Frank-Wolfe

14 October 2020
Sebastian Pokutta
Christoph Spiegel
Max Zimmer
ArXivPDFHTML

Papers citing "Deep Neural Network Training with Frank-Wolfe"

7 / 7 papers shown
Title
Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture
Yikun Hou
Suvrit Sra
A. Yurtsever
34
0
0
28 Jan 2025
Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization
Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization
Nachuan Xiao
Kuang-Yu Ding
Xiaoyin Hu
Kim-Chuan Toh
42
2
0
15 Apr 2024
EsaCL: Efficient Continual Learning of Sparse Models
EsaCL: Efficient Continual Learning of Sparse Models
Weijieying Ren
V. Honavar
CLL
33
3
0
11 Jan 2024
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
Max Zimmer
Megi Andoni
Christoph Spiegel
Sebastian Pokutta
VLM
55
10
0
23 Dec 2023
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
102
33
0
29 Apr 2023
Compression-aware Training of Neural Networks using Frank-Wolfe
Compression-aware Training of Neural Networks using Frank-Wolfe
Max Zimmer
Christoph Spiegel
Sebastian Pokutta
31
9
0
24 May 2022
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps
  and Relevance Orderings
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Jan Macdonald
Mathieu Besançon
Sebastian Pokutta
32
12
0
15 Oct 2021
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