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LQF: Linear Quadratic Fine-Tuning

LQF: Linear Quadratic Fine-Tuning

Computer Vision and Pattern Recognition (CVPR), 2020
21 December 2020
Alessandro Achille
Aditya Golatkar
Avinash Ravichandran
M. Polito
Stefano Soatto
ArXiv (abs)PDFHTML

Papers citing "LQF: Linear Quadratic Fine-Tuning"

13 / 13 papers shown
Scalable Data Attribution via Forward-Only Test-Time Inference
Scalable Data Attribution via Forward-Only Test-Time Inference
Sibo Ma
Julian Nyarko
TDI
369
0
0
25 Nov 2025
The Journey, Not the Destination: How Data Guides Diffusion Models
The Journey, Not the Destination: How Data Guides Diffusion Models
Kristian Georgiev
Joshua Vendrow
Hadi Salman
Sung Min Park
Aleksander Madry
405
39
0
11 Dec 2023
Tangent Transformers for Composition, Privacy and Removal
Tangent Transformers for Composition, Privacy and RemovalInternational Conference on Learning Representations (ICLR), 2023
Tian Yu Liu
Aditya Golatkar
Stefano Soatto
332
15
0
16 Jul 2023
Taming AI Bots: Controllability of Neural States in Large Language
  Models
Taming AI Bots: Controllability of Neural States in Large Language Models
Stefano Soatto
Paulo Tabuada
Pratik Chaudhari
Tianwei Liu
LLMAGLM&Ro
284
22
0
29 May 2023
TRAK: Attributing Model Behavior at Scale
TRAK: Attributing Model Behavior at ScaleInternational Conference on Machine Learning (ICML), 2023
Sung Min Park
Kristian Georgiev
Andrew Ilyas
Guillaume Leclerc
Aleksander Madry
TDI
453
255
0
24 Mar 2023
A Kernel-Based View of Language Model Fine-Tuning
A Kernel-Based View of Language Model Fine-TuningInternational Conference on Machine Learning (ICML), 2022
Sadhika Malladi
Alexander Wettig
Dingli Yu
Danqi Chen
Sanjeev Arora
VLM
405
105
0
11 Oct 2022
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without TrainingNeural Information Processing Systems (NeurIPS), 2022
Antonio Norelli
Marco Fumero
Valentino Maiorca
Luca Moschella
Emanuele Rodolà
Francesco Locatello
VLM
518
48
0
04 Oct 2022
SphereFed: Hyperspherical Federated Learning
SphereFed: Hyperspherical Federated LearningEuropean Conference on Computer Vision (ECCV), 2022
Xin Dong
Shanghang Zhang
Ang Li
H. T. Kung
FedML
262
27
0
19 Jul 2022
Towards Differential Relational Privacy and its use in Question
  Answering
Towards Differential Relational Privacy and its use in Question Answering
Simone Bombari
Alessandro Achille
Zijian Wang
Yu Wang
Yusheng Xie
Kunwar Yashraj Singh
Srikar Appalaraju
Vijay Mahadevan
Stefano Soatto
197
1
0
30 Mar 2022
Mixed Differential Privacy in Computer Vision
Mixed Differential Privacy in Computer VisionComputer Vision and Pattern Recognition (CVPR), 2022
Aditya Golatkar
Alessandro Achille
Yu Wang
Aaron Roth
Michael Kearns
Stefano Soatto
PICVVLM
407
63
0
22 Mar 2022
DIVA: Dataset Derivative of a Learning Task
DIVA: Dataset Derivative of a Learning Task
Yonatan Dukler
Alessandro Achille
Giovanni Paolini
Avinash Ravichandran
M. Polito
Stefano Soatto
268
6
0
18 Nov 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image
  Classifiers
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers
Stephanie Tsuei
Aditya Golatkar
Stefano Soatto
UQCV
267
0
0
25 Jun 2021
Mixed-Privacy Forgetting in Deep Networks
Mixed-Privacy Forgetting in Deep NetworksComputer Vision and Pattern Recognition (CVPR), 2020
Aditya Golatkar
Alessandro Achille
Avinash Ravichandran
M. Polito
Stefano Soatto
CLLMU
478
214
0
24 Dec 2020
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