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2003.00393
Cited By
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision
Computer Vision and Pattern Recognition (CVPR), 2020
1 March 2020
Denis A. Gudovskiy
Alec Hodgkinson
Takuya Yamaguchi
Sotaro Tsukizawa
FedML
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Papers citing
"Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"
32 / 32 papers shown
Exploring Active Learning for Semiconductor Defect Segmentation
International Conference on Information Photonics (ICIP), 2022
Lile Cai
R. Pahwa
Xun Xu
Jie Wang
Richard Chang
Lining Zhang
Chuan-Sheng Foo
195
11
0
23 Jul 2025
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection
Esteban Rivera
Surya Prabhakaran
Markus Lienkamp
VLM
1.1K
0
0
01 May 2025
Dependency-aware Maximum Likelihood Estimation for Active Learning
Beyza Kalkanli
Tales Imbiriba
Stratis Ioannidis
Deniz Erdogmus
Jennifer Dy
354
0
0
07 Mar 2025
ALVIN: Active Learning Via INterpolation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Michalis Korakakis
Andreas Vlachos
Adrian Weller
357
0
0
11 Oct 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection
Neural Information Processing Systems (NeurIPS), 2024
Ruiyu Mao
Sarthak Kumar Maharana
Rishabh K Iyer
Yunhui Guo
3DPC
331
3
0
04 Oct 2024
VLMine: Long-Tail Data Mining with Vision Language Models
Mao Ye
Gregory P. Meyer
Zaiwei Zhang
Dennis Park
Siva Karthik Mustikovela
Yuning Chai
Eric M. Wolff
VLM
307
6
0
23 Sep 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li
Zhen Wang
Yankai Chen
Xue Liu
Weiping Ding
Manabu Okumura
559
118
0
01 May 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning
Freddie Bickford-Smith
Adam Foster
Tom Rainforth
410
11
0
26 Apr 2024
Towards Open World Active Learning for 3D Object Detection
Zhuoxiao Chen
Yadan Luo
Zixin Wang
Zijian Wang
Xin Yu
Zi Huang
284
1
0
16 Oct 2023
BaSAL: Size-Balanced Warm Start Active Learning for LiDAR Semantic Segmentation
IEEE International Conference on Robotics and Automation (ICRA), 2023
Jiarong Wei
Yancong Lin
Holger Caesar
429
8
0
12 Oct 2023
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning
Sandra Gilhuber
Rasmus Hvingelby
Mang Ling Ada Fok
Thomas Seidl
274
2
0
16 Aug 2023
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Sabit Hassan
Malihe Alikhani
AI4CE
205
17
0
26 May 2023
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
333
11
0
16 May 2023
Streaming Active Learning with Deep Neural Networks
International Conference on Machine Learning (ICML), 2023
Akanksha Saran
Safoora Yousefi
A. Krishnamurthy
John Langford
Jordan T. Ash
414
26
0
05 Mar 2023
Exploring Active 3D Object Detection from a Generalization Perspective
International Conference on Learning Representations (ICLR), 2023
Yadan Luo
Zhuoxiao Chen
Zijian Wang
Xin Yu
Zi Huang
Mahsa Baktash
3DPC
267
36
0
23 Jan 2023
Knowledge-Aware Federated Active Learning with Non-IID Data
IEEE International Conference on Computer Vision (ICCV), 2022
Yu Cao
Ye-ling Shi
Baosheng Yu
Jingya Wang
Dacheng Tao
FedML
482
29
0
24 Nov 2022
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining
European Conference on Computer Vision (ECCV), 2022
C. Jiang
Mahyar Najibi
C. Qi
Yin Zhou
Drago Anguelov
314
25
0
15 Oct 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks
Knowledge and Information Systems (KAIS), 2022
Z. Yang
Richard Sinnott
James Bailey
Qiuhong Ke
328
66
0
14 Jun 2022
Efficient Human-in-the-loop System for Guiding DNNs Attention
International Conference on Intelligent User Interfaces (IUI), 2022
Yi He
Xi Yang
Chia-Ming Chang
Haoran Xie
Takeo Igarashi
321
10
0
13 Jun 2022
Can I see an Example? Active Learning the Long Tail of Attributes and Relations
British Machine Vision Conference (BMVC), 2022
Tyler L. Hayes
Maximilian Nickel
Christopher Kanan
Ludovic Denoyer
Arthur Szlam
VLM
220
3
0
11 Mar 2022
Optimizing Active Learning for Low Annotation Budgets
Umang Aggarwal
Adrian Daniel Popescu
C´eline Hudelot
254
3
0
18 Jan 2022
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
Yu Qiao
Jincheng Zhu
Chengjiang Long
Zeyao Zhang
Yuxin Wang
Z. Du
Xin Yang
257
15
0
11 Dec 2021
Which images to label for few-shot medical landmark detection?
Quan Quan
Qingsong Yao
Jun Li
S. Kevin Zhou
509
28
0
07 Dec 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Suraj Kothawade
Nathan Beck
Krishnateja Killamsetty
Rishabh K. Iyer
273
124
0
01 Jul 2021
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes
Sean Segal
Nishanth Kumar
Sergio Casas
Wenyuan Zeng
Mengye Ren
Jingkang Wang
R. Urtasun
232
5
0
08 Apr 2021
Multiple instance active learning for object detection
Computer Vision and Pattern Recognition (CVPR), 2021
Tianning Yuan
Fang Wan
Mengying Fu
Jianzhuang Liu
Songcen Xu
Xiangyang Ji
QiXiang Ye
WSOD
373
154
0
06 Apr 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation
Computer Vision and Pattern Recognition (CVPR), 2021
Denis A. Gudovskiy
Luca Rigazio
Shun Ishizaka
Kazuki Kozuka
Sotaro Tsukizawa
NoLa
198
25
0
10 Mar 2021
Utilising Graph Machine Learning within Drug Discovery and Development
Thomas Gaudelet
Ben Day
Arian R. Jamasb
Jyothish Soman
Cristian Regep
...
Jian Tang
D. Roblin
Tom L. Blundell
M. Bronstein
J. Taylor-King
AI4CE
375
40
0
09 Dec 2020
Sampling Approach Matters: Active Learning for Robotic Language Acquisition
Nisha Pillai
Edward Raff
Francis Ferraro
Cynthia Matuszek
231
3
0
16 Nov 2020
Exploiting Context for Robustness to Label Noise in Active Learning
Sudipta Paul
S. Chandrasekaran
B. S. Manjunath
Amit K. Roy-Chowdhury
NoLa
241
5
0
18 Oct 2020
A Survey of Deep Active Learning
ACM Computing Surveys (ACM CSUR), 2020
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
538
1,435
0
30 Aug 2020
Task-Aware Variational Adversarial Active Learning
Computer Vision and Pattern Recognition (CVPR), 2020
Kwanyoung Kim
Dongwon Park
K. Kim
S. Chun
VLM
OOD
250
174
0
11 Feb 2020
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