SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios

1 July 2021

Suraj Kothawade

Nathan Beck

Krishnateja Killamsetty

Rishabh K. Iyer

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Papers citing "SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios"

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Title
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Arnav M. Das Gantavya Bhatt Lilly Kumari Sahil Verma J. Bilmes 31 0 0 23 Dec 2024
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Leah Bar Boaz Lerner N. Darshan Rami Ben-Ari VLM 80 1 0 03 Dec 2024
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training Shreen Gul Mohamed Elmahallawy S. Madria Ardhendu Tripathy 64 0 0 20 Nov 2024
Targeting Negative Flips in Active Learning using Validation Sets Ryan Benkert Mohit Prabhushankar Ghassan AlRegib AAML 37 0 0 16 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 151 1 0 10 Nov 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection Haoyue Bai Jifan Zhang Robert Nowak 30 6 0 10 Oct 2024
Active Fine-Tuning of Generalist Policies Marco Bagatella Jonas Hübotter Georg Martius Andreas Krause 34 0 0 07 Oct 2024
Language Model-Driven Data Pruning Enables Efficient Active Learning Abdul Hameed Azeemi I. Qazi Agha Ali Raza VLM 36 1 0 05 Oct 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection Ruiyu Mao S. K. Maharana Rishabh K Iyer Yunhui Guo 3DPC 33 0 0 04 Oct 2024
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization Dingshuo Chen Zhixun Li Yuyan Ni Guibin Zhang Ding Wang Qiang Liu Shu Wu Jeffrey Xu Yu Liang Wang 49 4 0 02 Sep 2024
Out-of-Distribution Learning with Human Feedback Haoyue Bai Xuefeng Du Katie Rainey Shibin Parameswaran Yixuan Li OODD 26 3 0 14 Aug 2024
Bayesian Active Learning for Semantic Segmentation Sima Didari Wenjun Hu Jae Oh Woo Heng Hao Hankyu Moon Seungjai Min 51 0 0 03 Aug 2024
Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification Yuxin Hong Xiao Zhang Xin Zhang Joey Tianyi Zhou 45 2 0 09 Jun 2024
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization Matthew Fahrbach Srikumar Ramalingam Morteza Zadimoghaddam Sara Ahmadian Gui Citovsky Giulia DeSalvo 56 1 0 29 May 2024
A Survey of Multimodal Large Language Model from A Data-centric Perspective Tianyi Bai Hao Liang Binwang Wan Yanran Xu Xi Li ... Ping-Chia Huang Jiulong Shan Conghui He Binhang Yuan Wentao Zhang 52 36 0 26 May 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers Dongyuan Li Zhen Wang Yankai Chen Renhe Jiang Weiping Ding Manabu Okumura 44 20 0 01 May 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets Pietro Lesci Andreas Vlachos 35 2 0 08 Apr 2024
SMART: Submodular Data Mixture Strategy for Instruction Tuning Kowndinya Renduchintala S. Bhatia Ganesh Ramakrishnan 41 3 0 13 Mar 2024
Deep Submodular Peripteral Networks Gantavya Bhatt Arnav M. Das Jeff Bilmes 44 1 0 13 Mar 2024
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions Maximilian Böther Abraham Sebastian Pranjal Awasthi Ana Klimovic Srikumar Ramalingam 42 0 0 26 Feb 2024
STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning Nathan Beck Adithya Iyer Rishabh K. Iyer 33 0 0 21 Feb 2024
Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection Nathan Beck Truong Pham Rishabh K. Iyer 22 1 0 21 Feb 2024
Class-Balanced and Reinforced Active Learning on Graphs Chengcheng Yu Jiapeng Zhu Xiang Li 27 1 0 15 Feb 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 45 1 0 13 Feb 2024
Entropic Open-set Active Learning Bardia Safaei VS Vibashan C. D. Melo Vishal M. Patel UQCV EDL 38 17 0 21 Dec 2023
A Weighted K-Center Algorithm for Data Subset Selection Srikumar Ramalingam Pranjal Awasthi Sanjiv Kumar 3DPC 32 3 0 17 Dec 2023
DIRECT: Deep Active Learning under Imbalance and Label Noise Shyam Nuggehalli Jifan Zhang Lalit P. Jain Robert D. Nowak 26 9 0 14 Dec 2023
Benchmarking of Query Strategies: Towards Future Deep Active Learning Shiryu Ueno Yusei Yamada Shunsuke Nakatsuka Kunihito Kato FedML 11 2 0 10 Dec 2023
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information Wen Jiang Boshu Lei Kostas Daniilidis 3DGS 26 31 0 29 Nov 2023
Data Pruning via Moving-one-Sample-out Haoru Tan Sitong Wu Fei Du Yukang Chen Zhibin Wang Fan Wang Xiaojuan Qi 55 31 0 23 Oct 2023
A comprehensive survey on deep active learning in medical image analysis Haoran Wang Q. Jin Shiman Li Siyu Liu Manning Wang Zhijian Song VLM 46 22 0 22 Oct 2023
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling Ke Yu Yuanmin Tang Giulia DeSalvo Suraj Kothawade Abdullah Rashwan S. Tavakkol Kayhan Batmanghelich Xiaoqi Yin ISeg 21 0 0 28 Sep 2023
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning Sandra Gilhuber Rasmus Hvingelby Mang Ling Ada Fok Thomas Seidl 31 1 0 16 Aug 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 37 0 0 07 Jul 2023
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification Nathan Beck Krishnateja Killamsetty Suraj Kothawade Rishabh K. Iyer 16 6 0 02 Jun 2023
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings Nathan Beck Suraj Kothawade Pradeep Shenoy Rishabh K. Iyer 16 2 0 18 May 2023
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge Vasudha Varadarajan Swanie Juhng Syeda Mahwish Xiaoran Liu Jonah Luby C. Luhmann H. A. Schwartz 33 3 0 03 May 2023
Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions Jihyo Kim J. Kim Sangheum Hwang 6 1 0 25 Mar 2023
Black-Box Batch Active Learning for Regression Andreas Kirsch 30 7 0 17 Feb 2023
Gaussian Switch Sampling: A Second Order Approach to Active Learning Ryan Benkert Mohit Prabhushankar Ghassan Al-Regib Armin Pacharmi E. Corona AAML 23 9 0 16 Feb 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets Jifan Zhang Shuai Shao Saurabh Verma Robert D. Nowak 26 20 0 14 Feb 2023
Data pruning and neural scaling laws: fundamental limitations of score-based algorithms Fadhel Ayed Soufiane Hayou 14 9 0 14 Feb 2023
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data Ryan Benkert Mohit Prabhushankar Ghassan AlRegib OODD OOD 21 9 0 12 Jan 2023
Deep Active Learning for Computer Vision: Past and Future Rinyoichi Takezoe Xu Liu Shunan Mao Marco Tianyu Chen Zhanpeng Feng Shiliang Zhang Xiaoyu Wang VLM 41 19 0 27 Nov 2022
Neural Active Learning on Heteroskedastic Distributions Savya Khosla Chew Kin Whye Jordan T. Ash Cyril Zhang Kenji Kawaguchi Alex Lamb 25 2 0 02 Nov 2022
Active Learning with Neural Networks: Insights from Nonparametric Statistics Yinglun Zhu Robert D. Nowak 72 6 0 15 Oct 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Dongmin Park Yooju Shin Jihwan Bang Youngjune Lee Hwanjun Song Jae-Gil Lee 62 24 0 13 Oct 2022
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures Suraj Kothawade Akshit Shrivastava V. Iyer Ganesh Ramakrishnan Rishabh K. Iyer 22 1 0 04 Oct 2022
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification Suraj Kothawade Atharv Savarkar V. Iyer Lakshman Tamil Ganesh Ramakrishnan Rishabh K. Iyer 22 8 0 04 Oct 2022
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities Andreas Kirsch Y. Gal FedML 31 21 0 01 Aug 2022