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NTKCPL: Active Learning on Top of Self-Supervised Model by Estimating
  True Coverage

NTKCPL: Active Learning on Top of Self-Supervised Model by Estimating True Coverage

7 June 2023
Ziting Wen
Oscar Pizarro
Stefan B. Williams
ArXivPDFHTML

Papers citing "NTKCPL: Active Learning on Top of Self-Supervised Model by Estimating True Coverage"

6 / 6 papers shown
Title
DCoM: Active Learning for All Learners
DCoM: Active Learning for All Learners
Inbal Mishal
D. Weinshall
VLM
20
0
0
01 Jul 2024
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the
  Context of Pre-trained Models
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models
Ziting Wen
Oscar Pizarro
Stefan B. Williams
16
0
0
02 Mar 2024
Active Finetuning: Exploiting Annotation Budget in the
  Pretraining-Finetuning Paradigm
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm
Yichen Xie
Han Lu
Junchi Yan
Xiaokang Yang
M. Tomizuka
Wei Zhan
31
30
0
25 Mar 2023
Active Learning on a Budget: Opposite Strategies Suit High and Low
  Budgets
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Guy Hacohen
Avihu Dekel
D. Weinshall
119
116
0
06 Feb 2022
Deep Active Learning by Leveraging Training Dynamics
Deep Active Learning by Leveraging Training Dynamics
Haonan Wang
Wei Huang
Ziwei Wu
A. Margenot
Hanghang Tong
Jingrui He
AI4CE
27
31
0
16 Oct 2021
Semi-supervised Batch Active Learning via Bilevel Optimization
Semi-supervised Batch Active Learning via Bilevel Optimization
Zalan Borsos
Marco Tagliasacchi
Andreas Krause
29
23
0
19 Oct 2020
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