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Robust Fine-Tuning of Deep Neural Networks with Hessian-based
  Generalization Guarantees

Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees

6 June 2022
Haotian Ju
Dongyue Li
Hongyang R. Zhang
ArXivPDFHTML

Papers citing "Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees"

14 / 14 papers shown
Title
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
Xinyue Zeng
Haohui Wang
Junhong Lin
Jun Wu
Tyler Cody
Dawei Zhou
100
0
0
01 May 2025
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
Changdae Oh
Yixuan Li
Kyungwoo Song
Sangdoo Yun
Dongyoon Han
OOD
MoMe
45
4
0
03 Oct 2024
Unraveling the Hessian: A Key to Smooth Convergence in Loss Function
  Landscapes
Unraveling the Hessian: A Key to Smooth Convergence in Loss Function Landscapes
Nikita Kiselev
Andrey Grabovoy
54
1
0
18 Sep 2024
Improving Continuous Sign Language Recognition with Adapted Image Models
Improving Continuous Sign Language Recognition with Adapted Image Models
Lianyu Hu
Tongkai Shi
Liqing Gao
Zekang Liu
Wei Feng
VLM
26
5
0
12 Apr 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
62
1
0
08 Nov 2023
Multimodal Prompting with Missing Modalities for Visual Recognition
Multimodal Prompting with Missing Modalities for Visual Recognition
Yi-Lun Lee
Yi-Hsuan Tsai
Wei-Chen Chiu
Chen-Yu Lee
VPVLM
27
94
0
06 Mar 2023
Koopman-based generalization bound: New aspect for full-rank weights
Koopman-based generalization bound: New aspect for full-rank weights
Yuka Hashimoto
Sho Sonoda
Isao Ishikawa
Atsushi Nitanda
Taiji Suzuki
11
2
0
12 Feb 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on
  Graph Diffusion
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion
Haotian Ju
Dongyue Li
Aneesh Sharma
Hongyang R. Zhang
31
40
0
09 Feb 2023
Improving Robust Generalization by Direct PAC-Bayesian Bound
  Minimization
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
Zifa Wang
Nan Ding
Tomer Levinboim
Xi Chen
Radu Soricut
AAML
35
5
0
22 Nov 2022
On the Impossible Safety of Large AI Models
On the Impossible Safety of Large AI Models
El-Mahdi El-Mhamdi
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
L. Hoang
Rafael Pinot
Sébastien Rouault
John Stephan
30
31
0
30 Sep 2022
Patterns, predictions, and actions: A story about machine learning
Patterns, predictions, and actions: A story about machine learning
Moritz Hardt
Benjamin Recht
SSL
AI4TS
AI4CE
44
31
0
10 Feb 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
148
454
0
03 Dec 2007
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