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Submodular Combinatorial Information Measures with Applications in Machine Learning

27 June 2020

Papers citing "Submodular Combinatorial Information Measures with Applications in Machine Learning"

50 / 61 papers shown

Title
Diversity of Transformer Layers: One Aspect of Parameter Scaling Laws Hidetaka Kamigaito Ying Zhang Jingun Kwon Katsuhiko Hayashi Manabu Okumura Taro Watanabe MoE 40 1 0 29 May 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
Data-efficient LLM Fine-tuning for Code Generation Weijie Lv X. Xia Sheng-Jun Huang ALM SyDa 59 0 0 17 Apr 2025
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset Yiqin Yang Quanwei Wang Chenghao Li Hao Hu Chengjie Wu ... Dianyu Zhong Ziyou Zhang Qianchuan Zhao Chongjie Zhang Xu Bo OffRL 117 0 0 26 Feb 2025
Challenges of Multi-Modal Coreset Selection for Depth Prediction Viktor Moskvoretskii Narek Alvandian 73 0 0 20 Feb 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
Adaptive Dataset Quantization Muquan Li Dongyang Zhang Qiang Dong Xiurui Xie Ke Qin DD MQ 132 0 0 22 Dec 2024
Color-Oriented Redundancy Reduction in Dataset Distillation Bowen Yuan Zijian Wang Mahsa Baktashmotlagh Yadan Luo Zi Huang DD 202 2 0 18 Nov 2024
DELIFT: Data Efficient Language model Instruction Fine Tuning Ishika Agarwal Krishnateja Killamsetty Lucian Popa Marina Danilevksy ALM VLM 126 4 0 07 Nov 2024
Theoretically Grounded Pruning of Large Ground Sets for Constrained, Discrete Optimization Ankur Nath Alan Kuhnle 60 0 0 23 Oct 2024
Continual Learning on a Data Diet Elif Ceren Gok Yildirim Murat Onur Yildirim Joaquin Vanschoren CLL 61 0 0 23 Oct 2024
A CLIP-Powered Framework for Robust and Generalizable Data Selection Steve Yang Peng Ye Wanli Ouyang Dongzhan Zhou Furao Shen 115 2 0 15 Oct 2024
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning Tianchi Xie Jiangning Zhu Guozu Ma Minzhi Lin Wei Chen Weikai Yang Shixia Liu 61 2 0 03 Oct 2024
Distilling Long-tailed Datasets Zhenghao Zhao Haoxuan Wang Yuzhang Shang Kai Wang Yan Yan DD 105 3 0 24 Aug 2024
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs Weijie Lv Xuan Xia Sheng-Jun Huang ALM 83 4 0 05 Aug 2024
Dataset Quantization with Active Learning based Adaptive Sampling Zhenghao Zhao Yuzhang Shang Junyi Wu Yan Yan DD 98 5 0 09 Jul 2024
Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation Jian Qian Miao Sun Sifan Zhou Ziyu Zhao Ruizhi Hun Patrick Chiang 94 1 0 08 Jul 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
Dataset Growth Ziheng Qin Zhaopan Xu Yukun Zhou Zangwei Zheng Zebang Cheng ... Xiaojiang Peng Radu Timofte Hongxun Yao Kai Wang Yang You DD 43 2 0 28 May 2024
Calibrated Dataset Condensation for Faster Hyperparameter Search Mucong Ding Yuancheng Xu Tahseen Rabbani Xiaoyu Liu Brian J Gravelle Teresa M. Ranadive Tai-Ching Tuan Furong Huang DD 72 0 0 27 May 2024
Spectral Greedy Coresets for Graph Neural Networks Mucong Ding Yinhan He Jundong Li Furong Huang 81 3 0 27 May 2024
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning Yexiao He Ziyao Wang Zheyu Shen Guoheng Sun Yucong Dai Yongkai Wu Hongyi Wang Ang Li 94 13 0 23 Apr 2024
Coreset Selection for Object Detection Hojun Lee Suyoung Kim Junhoo Lee Jaeyoung Yoo Nojun Kwak 69 7 0 14 Apr 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 80 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
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 160 0 0 08 Feb 2024
Automatic Combination of Sample Selection Strategies for Few-Shot Learning Branislav Pecher Ivan Srba Maria Bielikova Joaquin Vanschoren 95 2 0 05 Feb 2024
Contributing Dimension Structure of Deep Feature for Coreset Selection Zhijing Wan Zhixiang Wang Yuran Wang Zheng Wang Hongyuan Zhu Shiníchi Satoh 82 8 0 29 Jan 2024
Fusing Conditional Submodular GAN and Programmatic Weak Supervision Kumar Shubham Pranav Sastry AP Prathosh 77 2 0 16 Dec 2023
Benchmarking of Query Strategies: Towards Future Deep Active Learning Shiryu Ueno Yusei Yamada Shunsuke Nakatsuka Kunihito Kato FedML 71 2 0 10 Dec 2023
Dataset Distillation in Latent Space Yuxuan Duan Jianfu Zhang Liqing Zhang DD 100 6 0 27 Nov 2023
Dataset Quantization Daquan Zhou Kaixin Wang Jianyang Gu Xiang Peng Dongze Lian Yifan Zhang Yang You Jiashi Feng DD 89 41 0 21 Aug 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
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning Patrik Okanovic R. Waleffe Vasilis Mageirakos Konstantinos E. Nikolakakis Amin Karbasi Dionysis Kalogerias Nezihe Merve Gürel Theodoros Rekatsinas DD 104 14 0 28 May 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
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models H. S. V. N. S. K. Renduchintala Krishnateja Killamsetty S. Bhatia Milan Aggarwal Ganesh Ramakrishnan Rishabh K. Iyer Balaji Krishnamurthy AIFin 33 4 0 11 May 2023
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning Ziheng Qin Kaidi Wang Zangwei Zheng Jianyang Gu Xiang Peng ... Daquan Zhou Lei Shang Baigui Sun Xuansong Xie Yang You 187 53 0 08 Mar 2023
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection A. De Soumen Chakrabarti 89 5 0 20 Oct 2022
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures Suraj Kothawade Akshit Shrivastava V. Iyer Ganesh Ramakrishnan Rishabh K. Iyer 43 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 47 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 95 23 0 01 Aug 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios Xueying Zhan Zeyu Dai Qingzhong Wang Qing Li Haoyi Xiong Dejing Dou Antoni B. Chan OODD 48 3 0 04 Jul 2022
Active Data Discovery: Mining Unknown Data using Submodular Information Measures Suraj Kothawade Shivang Chopra Saikat Ghosh Rishabh K. Iyer 68 4 0 17 Jun 2022
DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning Chengcheng Guo B. Zhao Yanbing Bai OOD 139 143 0 18 Apr 2022
BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets Suraj Kothawade P. Reddy Ganesh Ramakrishnan Rishabh K. Iyer 24 0 0 10 Mar 2022
Submodlib: A Submodular Optimization Library Vishal Kaushal Ganesh Ramakrishnan Rishabh K. Iyer 76 12 0 22 Feb 2022
Submodularity In Machine Learning and Artificial Intelligence J. Bilmes 77 57 0 31 Jan 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information Changbin Li Suraj Kothawade F. Chen Rishabh K. Iyer 68 4 0 30 Jan 2022
Optimal Data Selection: An Online Distributed View Mariel A. Werner Anastasios Nikolas Angelopoulos Stephen Bates Michael I. Jordan 34 1 0 25 Jan 2022