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
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Not All Data Matters: An End-to-End Adaptive Dataset Pruning Framework for Enhancing Model Performance and Efficiency Suorong Yang Hongchao Yang Suhan Guo Shen Furao Jian Zhao 17 2 0 09 Dec 2023
Soft Random Sampling: A Theoretical and Empirical Analysis Xiaodong Cui Ashish R. Mittal Songtao Lu Wei Zhang G. Saon Brian Kingsbury 36 1 0 21 Nov 2023
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy Dongmin Park Seola Choi Doyoung Kim Hwanjun Song Jae-Gil Lee NoLa 60 20 0 02 Nov 2023
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization Zixin Ding Si-An Chen Ruoxi Jia Yuxin Chen 35 1 0 25 Oct 2023
You Only Condense Once: Two Rules for Pruning Condensed Datasets Yang He Lingao Xiao Joey Tianyi Zhou 35 14 0 21 Oct 2023
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D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning A. Maharana Prateek Yadav Mohit Bansal 19 28 0 11 Oct 2023
RK-core: An Established Methodology for Exploring the Hierarchical Structure within Datasets Yao Lu Yutian Huang Jiaqi Nie Zuohui Chen Qi Xuan 19 1 0 10 Oct 2023
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching Ziyao Guo Kai Wang George Cazenavette Hui Li Kaipeng Zhang Yang You DD 32 61 0 09 Oct 2023
Anchor Points: Benchmarking Models with Much Fewer Examples Rajan Vivek Kawin Ethayarajh Diyi Yang Douwe Kiela ALM 29 21 0 14 Sep 2023
Dataset Quantization Daquan Zhou Kaixin Wang Jianyang Gu Xiang Peng Dongze Lian Yifan Zhang Yang You Jiashi Feng DD 29 37 0 21 Aug 2023
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation Yongkang He Mingjin Chen Zhi-Yi Yang Yongyi Lu 31 2 0 02 Aug 2023
Dataset Distillation Meets Provable Subset Selection M. Tukan Alaa Maalouf Margarita Osadchy DD 23 4 0 16 Jul 2023
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy Zihao Zhu Mingda Zhang Shaokui Wei Li Shen Yanbo Fan Baoyuan Wu AAML SILM 42 9 0 14 Jul 2023
Active Learning with Contrastive Pre-training for Facial Expression Recognition Shuvendu Roy Ali Etemad 26 5 0 06 Jul 2023
Revisiting Sample Size Determination in Natural Language Understanding Ernie Chang Muhammad Hassan Rashid Pin-Jie Lin Changsheng Zhao Vera Demberg Yangyang Shi Vikas Chandra 15 1 0 01 Jul 2023
Large-scale Dataset Pruning with Dynamic Uncertainty Muyang He Shuo Yang Tiejun Huang Bo-Lu Zhao 31 25 0 08 Jun 2023
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning Yu Yang Hao Kang Baharan Mirzasoleiman 30 33 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 39 12 0 28 May 2023
Distill Gold from Massive Ores: Efficient Dataset Distillation via Critical Samples Selection Yue Xu Yong-Lu Li Kaitong Cui Ziyu Wang Cewu Lu Yu-Wing Tai Chi-Keung Tang DD 33 8 0 28 May 2023
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining Sang Michael Xie Hieu H. Pham Xuanyi Dong Nan Du Hanxiao Liu Yifeng Lu Percy Liang Quoc V. Le Tengyu Ma Adams Wei Yu MoMe MoE 31 174 0 17 May 2023
Accelerating Batch Active Learning Using Continual Learning Techniques Arnav M. Das Gantavya Bhatt M. Bhalerao Vianne R. Gao Rui Yang J. Bilmes VLM CLL 24 10 0 10 May 2023
Bayesian Pseudo-Coresets via Contrastive Divergence Piyush Tiwary Kumar Shubham V. Kashyap Prathosh A.P. 21 3 0 20 Mar 2023
Provable Data Subset Selection For Efficient Neural Network Training M. Tukan Samson Zhou Alaa Maalouf Daniela Rus Vladimir Braverman Dan Feldman MLT 23 9 0 09 Mar 2023
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning Ziheng Qin K. Wang Zangwei Zheng Jianyang Gu Xiang Peng ... Daquan Zhou Lei Shang Baigui Sun Xuansong Xie Yang You 116 46 0 08 Mar 2023
Loss-Curvature Matching for Dataset Selection and Condensation Seung-Jae Shin Heesun Bae DongHyeok Shin Weonyoung Joo Il-Chul Moon DD 38 24 0 08 Mar 2023
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective Animesh Gupta Irtiza Hassan Dilip K. Prasad D. K. Gupta 21 2 0 03 Mar 2023
Finding Support Examples for In-Context Learning Xiaonan Li Xipeng Qiu 11 87 0 27 Feb 2023
Less is More: Data Pruning for Faster Adversarial Training Yize Li Pu Zhao X. Lin B. Kailkhura Ryan Goldh AAML 15 9 0 23 Feb 2023
Data pruning and neural scaling laws: fundamental limitations of score-based algorithms Fadhel Ayed Soufiane Hayou 9 9 0 14 Feb 2023
Learning to Select Pivotal Samples for Meta Re-weighting Yinjun Wu Adam Stein J. Gardner Mayur Naik 18 0 0 09 Feb 2023
Best Practices in Active Learning for Semantic Segmentation Sudhanshu Mittal J. Niemeijer Jörg P. Schäfer Thomas Brox VLM 21 14 0 08 Feb 2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 19 15 0 08 Feb 2023
$Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset$ Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset Sungduk Yu M. Pritchard Po-Lun Ma Balwinder Singh S. Silva 34 2 0 08 Feb 2023
Data Selection for Language Models via Importance Resampling Sang Michael Xie Shibani Santurkar Tengyu Ma Percy Liang 30 170 0 06 Feb 2023
MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning Krishnateja Killamsetty A. Evfimievski Tejaswini Pedapati K. Kate Lucian Popa Rishabh K. Iyer 19 6 0 30 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 39 121 0 17 Jan 2023
CiT: Curation in Training for Effective Vision-Language Data Hu Xu Saining Xie Po-Yao (Bernie) Huang Licheng Yu Russ Howes Gargi Ghosh Luke Zettlemoyer Christoph Feichtenhofer VLM DiffM 27 24 0 05 Jan 2023
Speeding up NAS with Adaptive Subset Selection Vishak Prasad Colin White P. Jain Sibasis Nayak Ganesh Ramakrishnan BDL 18 5 0 02 Nov 2022
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training Ashish R. Mittal D. Sivasubramanian Rishabh K. Iyer P. Jyothi Ganesh Ramakrishnan 17 3 0 30 Oct 2022
Coverage-centric Coreset Selection for High Pruning Rates Haizhong Zheng Rui Liu Fan Lai Atul Prakash 25 52 0 28 Oct 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 33 8 0 21 Oct 2022
Automatic Document Selection for Efficient Encoder Pretraining Yukun Feng Patrick Xia Benjamin Van Durme João Sedoc 44 7 0 20 Oct 2022