GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning

19 December 2020

Krishnateja Killamsetty

D. Sivasubramanian

Ganesh Ramakrishnan

Rishabh Iyer University of Texas at Dallas

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Papers citing "GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning"

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Title
When Dynamic Data Selection Meets Data Augmentation S. M. I. Simon X. Yang Peng Ye F. Shen Dongzhan Zhou 24 0 0 02 May 2025
DataS^3: Dataset Subset Selection for Specialization Neha Hulkund Alaa Maalouf Levi Cai Daniel Yang T. Wang ... Ken Goldberg Hannah Kerner Irene Chen Yogesh A. Girdhar Sara Beery 28 0 0 22 Apr 2025
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity Mustafa Burak Gurbuz Xingyu Zheng C. Dovrolis OOD 38 0 0 07 Apr 2025
A Large-Scale Study on Video Action Dataset Condensation Yang Chen Sheng Guo Bo Zheng Limin Wang DD 77 2 0 13 Mar 2025
Finding the Muses: Identifying Coresets through Loss Trajectories M. Nagaraj Deepak Ravikumar Efstathia Soufleri Kaushik Roy 36 0 0 12 Mar 2025
Data Efficient Subset Training with Differential Privacy Ninad Jayesh Gandhi Moparthy Venkata Subrahmanya Sri Harsha 53 0 0 09 Mar 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 47 0 0 26 Feb 2025
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning Vaidehi Patil Elias Stengel-Eskin Mohit Bansal MU CLL 75 2 0 20 Feb 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz O. Seneviratne DD 57 0 0 23 Jan 2025
Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding Binh-Nguyen Nguyen Yang He 38 1 0 05 Jan 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 90 12 0 31 Dec 2024
TAROT: Targeted Data Selection via Optimal Transport Lan Feng Fan Nie Yuejiang Liu Alexandre Alahi OT 128 1 0 30 Nov 2024
A Scalable Approach to Covariate and Concept Drift Management via Adaptive Data Segmentation Vennela Yarabolu Govind V Waghmare Sonia Gupta Siddhartha Asthana 67 0 0 23 Nov 2024
DELIFT: Data Efficient Language model Instruction Fine Tuning Ishika Agarwal Krishnateja Killamsetty Lucian Popa Marina Danilevksy ALM VLM 48 2 0 07 Nov 2024
A Bayesian Approach to Data Point Selection Xinnuo Xu Minyoung Kim Royson Lee Brais Martínez Timothy M. Hospedales 33 0 0 06 Nov 2024
Compute-Constrained Data Selection Junjie Oscar Yin Alexander M. Rush 39 0 0 21 Oct 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang Haonan Dong Yuchen Zhang Zhixun Li Dingshuo Chen Kai Wang Tianlong Chen Yuxuan Liang Dawei Cheng Kun Wang 32 3 0 17 Oct 2024
A CLIP-Powered Framework for Robust and Generalizable Data Selection S. M. I. Simon X. Yang Peng Ye Wanli Ouyang Dongzhan Zhou F. Shen 29 1 0 15 Oct 2024
MYCROFT: Towards Effective and Efficient External Data Augmentation Zain Sarwar Van-Tai Tran A. Bhagoji Nick Feamster Ben Y. Zhao Supriyo Chakraborty 32 0 0 11 Oct 2024
Core Tokensets for Data-efficient Sequential Training of Transformers Subarnaduti Paul Manuel Brack P. Schramowski Kristian Kersting Martin Mundt 30 0 0 08 Oct 2024
DRUPI: Dataset Reduction Using Privileged Information Shaobo Wang Yantai Yang Shuaiyu Zhang Chenghao Sun Weiya Li Xuming Hu Linfeng Zhang 32 0 0 02 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
EMP: Enhance Memory in Data Pruning Jinying Xiao Ping Li Jie Nie Zhe Tang VLM 49 0 0 28 Aug 2024
Dataset Quantization with Active Learning based Adaptive Sampling Zhenghao Zhao Yuzhang Shang Junyi Wu Yan Yan DD 37 4 0 09 Jul 2024
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning Yijun Dong Hoang Phan Xiang Pan Qi Lei 40 5 0 08 Jul 2024
Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation Jian Qian Miao Sun Sifan Zhou Ziyu Zhao Ruizhi Hun Patrick Chiang 41 1 0 08 Jul 2024
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation Bjorn Nieth Thomas Altstidl Leo Schwinn Björn Eskofier AAML 34 2 0 19 Jun 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 50 1 0 17 Jun 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
Diversified Batch Selection for Training Acceleration Feng Hong Yueming Lyu Jiangchao Yao Ya Zhang Ivor W. Tsang Yanfeng Wang 29 4 0 07 Jun 2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions Jingtan Wang Xiaoqiang Lin Rui Qiao Chuan-Sheng Foo Bryan Kian Hsiang Low TDI 35 3 0 07 Jun 2024
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges Hoyong Choi Nohyun Ki Hye Won Chung 27 2 0 05 Jun 2024
Effective Subset Selection Through The Lens of Neural Network Pruning Noga Bar Raja Giryes CVBM 36 0 0 03 Jun 2024
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching Yongmin Lee Hye Won Chung 29 6 0 28 May 2024
Evaluating Supply Chain Resilience During Pandemic Using Agent-based Simulation Teddy Lazebnik 18 0 0 13 May 2024
Data-Efficient and Robust Task Selection for Meta-Learning Donglin Zhan James Anderson OOD 27 2 0 11 May 2024
TED: Accelerate Model Training by Internal Generalization Jinying Xiao Ping Li Jie Nie VLM 23 0 0 06 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 47 3 0 02 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 34 11 0 23 Apr 2024
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection Mohammad Jafari Yimeng Zhang Yihua Zhang Sijia Liu 38 2 0 18 Mar 2024
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation Minhyuk Seo Diganta Misra Seongwon Cho Minjae Lee Jonghyun Choi CLL 33 7 0 16 Mar 2024
Deep Submodular Peripteral Networks Gantavya Bhatt Arnav M. Das Jeff Bilmes 36 1 0 13 Mar 2024
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models Yu Yang Siddhartha Mishra Jeffrey N Chiang Baharan Mirzasoleiman 32 17 0 12 Mar 2024
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization Xuxi Chen Zhendong Wang Daouda Sow Junjie Yang Tianlong Chen Yingbin Liang Mingyuan Zhou Zhangyang Wang 32 5 0 22 Feb 2024
Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors D. Sahabandu Xiaojun Xu Arezoo Rajabi Luyao Niu Bhaskar Ramasubramanian Bo Li Radha Poovendran AAML 30 1 0 12 Feb 2024
Direct Acquisition Optimization for Low-Budget Active Learning Zhuokai Zhao Yibo Jiang Yuxin Chen 31 1 0 08 Feb 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 52 0 0 08 Feb 2024
Automatic Combination of Sample Selection Strategies for Few-Shot Learning Branislav Pecher Ivan Srba M. Bieliková Joaquin Vanschoren 34 1 0 05 Feb 2024
LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force Fields Joshua A. Vita Amit Samanta Fei Zhou Vincenzo Lordi 23 2 0 01 Feb 2024
Contributing Dimension Structure of Deep Feature for Coreset Selection Zhijing Wan Zhixiang Wang Yuran Wang Zheng Wang Hongyuan Zhu Shiníchi Satoh 21 6 0 29 Jan 2024