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Towards General and Efficient Active Learning

Towards General and Efficient Active Learning

15 December 2021
Yichen Xie
M. Tomizuka
Wei Zhan
    VLM
ArXivPDFHTML

Papers citing "Towards General and Efficient Active Learning"

12 / 12 papers shown
Title
Image Classification with Deep Reinforcement Active Learning
Image Classification with Deep Reinforcement Active Learning
Mingyuan Jiu
Xuguang Song
H. Sahbi
Shupan Li
Yan Chen
Wei Guo
Lihua Guo
Mingliang Xu
VLM
24
0
0
31 Dec 2024
Active Learning via Classifier Impact and Greedy Selection for
  Interactive Image Retrieval
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
Leah Bar
Boaz Lerner
N. Darshan
Rami Ben-Ari
VLM
75
1
0
03 Dec 2024
AutoAL: Automated Active Learning with Differentiable Query Strategy
  Search
AutoAL: Automated Active Learning with Differentiable Query Strategy Search
Yifeng Wang
Xueying Zhan
Siyu Huang
OOD
27
0
0
17 Oct 2024
Towards Efficient Active Learning in NLP via Pretrained Representations
Towards Efficient Active Learning in NLP via Pretrained Representations
Artem Vysogorets
Achintya Gopal
19
0
0
23 Feb 2024
A Novel Approach to Regularising 1NN classifier for Improved
  Generalization
A Novel Approach to Regularising 1NN classifier for Improved Generalization
Aditya Challa
Sravan Danda
Laurent Najman
16
2
0
13 Feb 2024
A Comparative Survey of Deep Active Learning
A Comparative Survey of Deep Active Learning
Xueying Zhan
Qingzhong Wang
Kuan-Hao Huang
Haoyi Xiong
Dejing Dou
Antoni B. Chan
FedML
HAI
15
103
0
25 Mar 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
295
5,761
0
29 Apr 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
166
684
0
22 Apr 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
120
268
0
07 Jan 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
139
620
0
21 Jul 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
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