Active Finetuning: Exploiting Annotation Budget in the
Pretraining-Finetuning Paradigm

Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm

25 March 2023

Wei Zhan

Papers citing "Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm"

6 / 6 papers shown

Title
Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning Bardia Safaei Faizan Siddiqui Jiacong Xu Vishal M. Patel Shao-Yuan Lo VLM 62 0 0 10 Mar 2025
Multi-Task Model Merging via Adaptive Weight Disentanglement Feng Xiong Runxi Cheng Wang Chen Zhanqiu Zhang Yiwen Guo Chun Yuan Ruifeng Xu MoMe 80 4 0 10 Jan 2025
Uncertainty Herding: One Active Learning Method for All Label Budgets Wonho Bae Gabriel L. Oliveira Danica J. Sutherland UQCV 42 0 0 30 Dec 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 7,337 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014