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Less Is Better: Unweighted Data Subsampling via Influence Function
v1v2v3 (latest)

Less Is Better: Unweighted Data Subsampling via Influence Function

AAAI Conference on Artificial Intelligence (AAAI), 2019
3 December 2019
Zifeng Wang
Hong Zhu
Zhenhua Dong
Xiuqiang He
Shao-Lun Huang
    TDI
ArXiv (abs)PDFHTML

Papers citing "Less Is Better: Unweighted Data Subsampling via Influence Function"

33 / 33 papers shown
Train on Validation (ToV): Fast data selection with applications to fine-tuning
Train on Validation (ToV): Fast data selection with applications to fine-tuning
Ayush Jain
Andrea Montanari
Eren Sasoglu
301
2
0
01 Oct 2025
Backbone Augmented Training for Adaptations
Backbone Augmented Training for Adaptations
Jae Wan Park
Junhyeok Kim
Youngjun Jun
Hyunah Ko
Seong Jae Hwang
258
0
0
04 Jun 2025
Knowledge Distillation with Adapted Weight
Knowledge Distillation with Adapted WeightStatistics (Berlin) (SB), 2025
Sirong Wu
Junjie Liu
Xi Luo
Yuhui Deng
430
2
0
06 Jan 2025
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample
  Perspective
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample PerspectiveNeural Information Processing Systems (NeurIPS), 2024
Yeonsung Jung
Jaeyun Song
J. Yang
Jin-Hwa Kim
Sung-Yub Kim
Eunho Yang
508
4
0
01 Nov 2024
Novel Subsampling Strategies for Heavily Censored Reliability Data
Novel Subsampling Strategies for Heavily Censored Reliability DataStatistics and its Interface (SII), 2024
Yixiao Ruan
Z. Li
Zhaohui Li
Dennis K. J. Lin
Qingpei Hu
Dan Yu
204
1
0
30 Oct 2024
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency
Yeonsung Jung
Heecheol Yun
Joonhyung Park
Jin-Hwa Kim
Eunho Yang
281
3
0
02 Jun 2024
Robust Noisy Label Learning via Two-Stream Sample Distillation
Robust Noisy Label Learning via Two-Stream Sample Distillation
Sihan Bai
Sanpin Zhou
Zheng Qin
Le Wang
Nanning Zheng
NoLa
271
2
0
16 Apr 2024
Improve Knowledge Distillation via Label Revision and Data Selection
Improve Knowledge Distillation via Label Revision and Data SelectionIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2024
Weichao Lan
Yiu-ming Cheung
Qing Xu
Buhua Liu
Zhikai Hu
Mengke Li
Zhenghua Chen
323
7
0
03 Apr 2024
InfFeed: Influence Functions as a Feedback to Improve the Performance of
  Subjective Tasks
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks
Somnath Banerjee
Maulindu Sarkar
Punyajoy Saha
Binny Mathew
Animesh Mukherjee
TDI
312
1
0
22 Feb 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining
  Perspective
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
Haoyi Xiong
Xuhong Li
Xiaofei Zhang
Jiamin Chen
Xinhao Sun
Yuchen Li
Zeyi Sun
Jundong Li
XAI
414
15
0
09 Jan 2024
Deeper Understanding of Black-box Predictions via Generalized Influence
  Functions
Deeper Understanding of Black-box Predictions via Generalized Influence Functions
Hyeonsu Lyu
Jonggyu Jang
Sehyun Ryu
H. Yang
TDIAI4CE
369
7
0
09 Dec 2023
Data Optimization in Deep Learning: A Survey
Data Optimization in Deep Learning: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Ou Wu
Rujing Yao
365
6
0
25 Oct 2023
The Thousand Faces of Explainable AI Along the Machine Learning Life
  Cycle: Industrial Reality and Current State of Research
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of ResearchInteracción (HCI), 2023
Thomas Decker
Ralf Gross
Alexander Koebler
Michael Lebacher
Ronald Schnitzer
Stefan H. Weber
380
2
0
11 Oct 2023
Towards a statistical theory of data selection under weak supervision
Towards a statistical theory of data selection under weak supervisionInternational Conference on Learning Representations (ICLR), 2023
Germain Kolossov
Andrea Montanari
Pulkit Tandon
351
27
0
25 Sep 2023
CLIMAX: An exploration of Classifier-Based Contrastive Explanations
CLIMAX: An exploration of Classifier-Based Contrastive ExplanationsInternational Conference on Cognitive Machine Intelligence (ICCMI), 2023
Praharsh Nanavati
Ranjitha Prasad
259
0
0
02 Jul 2023
On Influence Functions, Classification Influence, Relative Influence,
  Memorization and Generalization
On Influence Functions, Classification Influence, Relative Influence, Memorization and Generalization
Michael E. Kounavis
Ousmane Amadou Dia
Ilqar Ramazanli
TDI
106
2
0
25 May 2023
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation,
  Enrichment, and Refinement
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and RefinementInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Zifeng Wang
Chufan Gao
Cao Xiao
Jimeng Sun
LMTD
335
36
0
20 May 2023
Regularizing Second-Order Influences for Continual Learning
Regularizing Second-Order Influences for Continual LearningComputer Vision and Pattern Recognition (CVPR), 2023
Zhicheng Sun
Yadong Mu
G. Hua
CLL
244
38
0
20 Apr 2023
Training Data Influence Analysis and Estimation: A Survey
Training Data Influence Analysis and Estimation: A SurveyMachine-mediated learning (ML), 2022
Zayd Hammoudeh
Daniel Lowd
TDI
607
165
0
09 Dec 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets
A Survey of Dataset Refinement for Problems in Computer Vision DatasetsACM Computing Surveys (ACM CSUR), 2022
Zhijing Wan
Zhixiang Wang
CheukTing Chung
Zheng Wang
400
17
0
21 Oct 2022
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
MedCLIP: Contrastive Learning from Unpaired Medical Images and TextConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zifeng Wang
Zhenbang Wu
Dinesh Agarwal
Jimeng Sun
CLIPVLMMedIm
483
843
0
18 Oct 2022
Characterizing the Influence of Graph Elements
Characterizing the Influence of Graph ElementsInternational Conference on Learning Representations (ICLR), 2022
Zizhang Chen
Peizhao Li
Hongfu Liu
Pengyu Hong
TDI
242
26
0
14 Oct 2022
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data
DIWIFT: Discovering Instance-wise Influential Features for Tabular DataThe Web Conference (WWW), 2022
Dugang Liu
Pengxiang Cheng
Hong Zhu
Xing Tang
Yanyu Chen
Xiaoting Wang
Weike Pan
Zhong Ming
Xiuqiang He
TDI
222
13
0
06 Jul 2022
Understanding Programmatic Weak Supervision via Source-aware Influence
  Function
Understanding Programmatic Weak Supervision via Source-aware Influence FunctionNeural Information Processing Systems (NeurIPS), 2022
Jieyu Zhang
Hong Wang
Cheng-Yu Hsieh
Alexander Ratner
TDI
292
12
0
25 May 2022
Learning with Noisy Labels by Efficient Transition Matrix Estimation to
  Combat Label Miscorrection
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
Seong Min Kye
Kwanghee Choi
Joonyoung Yi
Buru Chang
NoLa
394
27
0
29 Nov 2021
PAC-Bayes Information Bottleneck
PAC-Bayes Information Bottleneck
Zifeng Wang
Shao-Lun Huang
E. Kuruoglu
Jimeng Sun
Xi Chen
Yefeng Zheng
273
41
0
29 Sep 2021
Estimation of Local Average Treatment Effect by Data Combination
Estimation of Local Average Treatment Effect by Data Combination
Kazuhiko Shinoda
T. Hoshino
193
1
0
11 Sep 2021
Energy-based Unknown Intent Detection with Data Manipulation
Energy-based Unknown Intent Detection with Data ManipulationFindings (Findings), 2021
Yawen Ouyang
Jiasheng Ye
Yu Chen
Xinyu Dai
Shujian Huang
Jiajun Chen
146
26
0
27 Jul 2021
Finding Influential Instances for Distantly Supervised Relation
  Extraction
Finding Influential Instances for Distantly Supervised Relation ExtractionInternational Conference on Computational Linguistics (COLING), 2020
Zifeng Wang
Rui Wen
Xi Chen
Shao-Lun Huang
Ningyu Zhang
Yefeng Zheng
TDI
171
26
0
17 Sep 2020
A Survey on Data Pricing: from Economics to Data Science
A Survey on Data Pricing: from Economics to Data ScienceIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Jian Pei
405
162
0
09 Sep 2020
On the Fairness of Randomized Trials for Recommendation with Heterogeneous Demographics and Beyond
Zifeng Wang
Xi Chen
Rui Wen
Shao-Lun Huang
353
1
0
25 Jan 2020
Data Valuation using Reinforcement Learning
Data Valuation using Reinforcement LearningInternational Conference on Machine Learning (ICML), 2019
Chang Jo Kim
Sercan O. Arik
Tomas Pfister
TDI
332
231
0
25 Sep 2019
Topology-based Representative Datasets to Reduce Neural Network Training
  Resources
Topology-based Representative Datasets to Reduce Neural Network Training Resources
Rocio Gonzalez-Diaz
Miguel A. Gutiérrez-Naranjo
Eduardo Paluzo-Hidalgo
DD
353
9
0
20 Mar 2019
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