Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision

1 March 2020

Papers citing "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

32 / 32 papers shown

Title
Exploring Active Learning for Semiconductor Defect Segmentation Lile Cai R. Pahwa Xun Xu Jie Wang Richard Chang Lining Zhang Chuan-Sheng Foo 50 7 0 23 Jul 2025
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection Esteban Rivera Surya Prabhakaran Markus Lienkamp VLM 756 0 0 01 May 2025
Dependency-aware Maximum Likelihood Estimation for Active Learning Beyza Kalkanli Tales Imbiriba Stratis Ioannidis Deniz Erdogmus Jennifer Dy 93 0 0 07 Mar 2025
ALVIN: Active Learning Via INterpolation Michalis Korakakis Andreas Vlachos Adrian Weller 132 0 0 11 Oct 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection Ruiyu Mao Sarthak Kumar Maharana Rishabh K Iyer Yunhui Guo 3DPC 100 1 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 117 2 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 218 59 0 01 May 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning Freddie Bickford-Smith Adam Foster Tom Rainforth 148 6 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 102 0 0 16 Oct 2023
BaSAL: Size-Balanced Warm Start Active Learning for LiDAR Semantic Segmentation Jiarong Wei Yancong Lin Holger Caesar 116 6 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 90 1 0 16 Aug 2023
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias Sabit Hassan Malihe Alikhani AI4CE 91 11 0 26 May 2023
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata 122 9 0 16 May 2023
Streaming Active Learning with Deep Neural Networks Akanksha Saran Safoora Yousefi A. Krishnamurthy John Langford Jordan T. Ash 132 19 0 05 Mar 2023
Exploring Active 3D Object Detection from a Generalization Perspective Yadan Luo Zhuoxiao Chen Zijian Wang Xin Yu Zi Huang Mahsa Baktash 3DPC 120 32 0 23 Jan 2023
Knowledge-Aware Federated Active Learning with Non-IID Data Yu Cao Ye-ling Shi Baosheng Yu Jingya Wang Dacheng Tao FedML 188 20 0 24 Nov 2022
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining C. Jiang Mahyar Najibi C. Qi Yin Zhou Drago Anguelov 150 22 0 15 Oct 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 129 50 0 14 Jun 2022
Efficient Human-in-the-loop System for Guiding DNNs Attention Yi He Xi Yang Chia-Ming Chang Haoran Xie Takeo Igarashi 126 8 0 13 Jun 2022
Can I see an Example? Active Learning the Long Tail of Attributes and Relations Tyler L. Hayes Maximilian Nickel Christopher Kanan Ludovic Denoyer Arthur Szlam VLM 100 3 0 11 Mar 2022
Optimizing Active Learning for Low Annotation Budgets Umang Aggarwal Adrian Daniel Popescu C´eline Hudelot 97 1 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 109 14 0 11 Dec 2021
Which images to label for few-shot medical landmark detection? Quan Quan Qingsong Yao Jun Li S. Kevin Zhou 168 25 0 07 Dec 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios Suraj Kothawade Nathan Beck Krishnateja Killamsetty Rishabh K. Iyer 119 111 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 123 5 0 08 Apr 2021
Multiple instance active learning for object detection Tianning Yuan Fang Wan Mengying Fu Jianzhuang Liu Songcen Xu Xiangyang Ji QiXiang Ye WSOD 130 139 0 06 Apr 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation Denis A. Gudovskiy Luca Rigazio Shun Ishizaka Kazuki Kozuka Sotaro Tsukizawa NoLa 89 22 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 154 38 0 09 Dec 2020
Sampling Approach Matters: Active Learning for Robotic Language Acquisition Nisha Pillai Edward Raff Francis Ferraro Cynthia Matuszek 96 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 63 5 0 18 Oct 2020
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 236 1,237 0 30 Aug 2020
Task-Aware Variational Adversarial Active Learning Kwanyoung Kim Dongwon Park K. Kim S. Chun VLM OOD 97 159 0 11 Feb 2020