v1v2 (latest)

SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios

1 July 2021

Suraj Kothawade

Nathan Beck

Krishnateja Killamsetty

Rishabh K. Iyer

ArXiv (abs)PDF HTML Github (150★)

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

50 / 71 papers shown

Title
EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation Jinghan Jia Hadi Reisizadeh Chongyu Fan Nathalie Baracaldo Mingyi Hong Sijia Liu LRM 119 0 0 04 Jun 2025
Data Pruning by Information Maximization Haoru Tan Sitong Wu Wei Huang Shizhen Zhao Xiaojuan Qi 49 1 0 02 Jun 2025
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances Brian B. Moser Arundhati S. Shanbhag Stanislav Frolov Federico Raue Joachim Folz Andreas Dengel 252 0 0 23 May 2025
SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation Ruiyu Mao Sarthak Kumar Maharana Xulong Tang Yunhui Guo 3DPC 80 0 0 06 May 2025
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Arnav M. Das Gantavya Bhatt Lilly Kumari Sahil Verma J. Bilmes 83 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 140 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 77 0 0 20 Nov 2024
Targeting Negative Flips in Active Learning using Validation Sets Ryan Benkert Mohit Prabhushankar Ghassan AlRegib AAML 76 0 0 16 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 416 3 0 10 Nov 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection Haoyue Bai Jifan Zhang Robert Nowak 137 7 0 10 Oct 2024
Active Fine-Tuning of Multi-Task Policies Marco Bagatella Jonas Hübotter Georg Martius Andreas Krause 137 0 0 07 Oct 2024
Language Model-Driven Data Pruning Enables Efficient Active Learning Abdul Hameed Azeemi I. Qazi Agha Ali Raza VLM 88 1 0 05 Oct 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection Ruiyu Mao Sarthak Kumar Maharana Rishabh K Iyer Yunhui Guo 3DPC 52 1 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 92 5 0 02 Sep 2024
Out-of-Distribution Learning with Human Feedback Haoyue Bai Xuefeng Du Katie Rainey Shibin Parameswaran Yixuan Li OODD 94 5 0 14 Aug 2024
Bayesian Active Learning for Semantic Segmentation Sima Didari Wenjun Hu Jae Oh Woo Heng Hao Hankyu Moon Seungjai Min 123 1 0 03 Aug 2024
Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification Yuxin Hong Xiao Zhang Xin Zhang Joey Tianyi Zhou 81 3 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 112 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 Huang Jiulong Shan Conghui He Binhang Yuan Wentao Zhang 137 45 0 26 May 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers Dongyuan Li Zhen Wang Yankai Chen Xue Liu Weiping Ding Manabu Okumura 141 30 0 01 May 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets Pietro Lesci Andreas Vlachos 143 4 0 08 Apr 2024
SMART: Submodular Data Mixture Strategy for Instruction Tuning Kowndinya Renduchintala S. Bhatia Ganesh Ramakrishnan 81 5 0 13 Mar 2024
Deep Submodular Peripteral Networks Gantavya Bhatt Arnav M. Das Jeff Bilmes 78 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 108 0 0 26 Feb 2024
STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning Nathan Beck Adithya Iyer Rishabh K. Iyer 66 0 0 21 Feb 2024
Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection Nathan Beck Truong Pham Rishabh K. Iyer 62 1 0 21 Feb 2024
Class-Balanced and Reinforced Active Learning on Graphs Chengcheng Yu Jiapeng Zhu Xiang Li 80 1 0 15 Feb 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 98 1 0 13 Feb 2024
Entropic Open-set Active Learning Bardia Safaei VS Vibashan C. D. Melo Vishal M. Patel UQCV EDL 72 21 0 21 Dec 2023
A Weighted K-Center Algorithm for Data Subset Selection Srikumar Ramalingam Pranjal Awasthi Sanjiv Kumar 3DPC 112 3 0 17 Dec 2023
Benchmarking of Query Strategies: Towards Future Deep Active Learning Shiryu Ueno Yusei Yamada Shunsuke Nakatsuka Kunihito Kato FedML 66 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 87 35 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 121 39 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 117 30 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 71 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 61 1 0 16 Aug 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 67 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 50 7 0 02 Jun 2023
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings Nathan Beck Suraj Kothawade Pradeep Shenoy Rishabh K. Iyer 66 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. Andrew Schwartz 78 3 0 03 May 2023
Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions Jihyo Kim J. Kim Sangheum Hwang 54 1 0 25 Mar 2023
Black-Box Batch Active Learning for Regression Andreas Kirsch 57 9 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 83 9 0 16 Feb 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets Jifan Zhang Shuai Shao Saurabh Verma Robert D. Nowak 112 21 0 14 Feb 2023
Data pruning and neural scaling laws: fundamental limitations of score-based algorithms Fadhel Ayed Soufiane Hayou 75 10 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 65 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 83 20 0 27 Nov 2022
Neural Active Learning on Heteroskedastic Distributions Savya Khosla Chew Kin Whye Jordan T. Ash Cyril Zhang Kenji Kawaguchi Alex Lamb 35 2 0 02 Nov 2022
Active Learning with Neural Networks: Insights from Nonparametric Statistics Yinglun Zhu Robert D. Nowak 95 7 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 105 26 0 13 Oct 2022