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Estimating Training Data Influence by Tracing Gradient Descent
v1v2v3 (latest)

Estimating Training Data Influence by Tracing Gradient Descent

Neural Information Processing Systems (NeurIPS), 2020
19 February 2020
G. Pruthi
Frederick Liu
Mukund Sundararajan
Satyen Kale
    TDI
ArXiv (abs)PDFHTML

Papers citing "Estimating Training Data Influence by Tracing Gradient Descent"

50 / 355 papers shown
MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution
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332
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When unlearning is free: leveraging low influence points to reduce computational costs
When unlearning is free: leveraging low influence points to reduce computational costs
Anat Kleiman
Robert Fisher
Ben Deaner
Udi Wieder
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328
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04 Dec 2025
RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning
RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning
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Huawei Lin
Weijie Zhao
MU
204
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0
04 Dec 2025
What Is Preference Optimization Doing, How and Why?
Yue Wang
Qizhou Wang
Zizhuo Zhang
Ang Li
Gang Niu
Bo Han
Masashi Sugiyama
93
1
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30 Nov 2025
RAG System for Supporting Japanese Litigation Procedures: Faithful Response Generation Complying with Legal Norms
RAG System for Supporting Japanese Litigation Procedures: Faithful Response Generation Complying with Legal Norms
Yuya Ishihara
Atsushi Keyaki
Hiroaki Yamada
Ryutaro Ohara
Mihoko Sumida
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154
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28 Nov 2025
Bandit Guided Submodular Curriculum for Adaptive Subset Selection
Bandit Guided Submodular Curriculum for Adaptive Subset Selection
Prateek Chanda
Prayas Agrawal
Saral Sureka
Lokesh Reddy Polu
Atharv Kshirsagar
Ganesh Ramakrishnan
279
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Scalable Data Attribution via Forward-Only Test-Time Inference
Scalable Data Attribution via Forward-Only Test-Time Inference
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Julian Nyarko
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341
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BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation
BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation
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Asli Cihangir
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Johannes C. Paetzold
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M. Sabuncu
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244
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Towards Robust and Fair Next Visit Diagnosis Prediction under Noisy Clinical Notes with Large Language Models
Towards Robust and Fair Next Visit Diagnosis Prediction under Noisy Clinical Notes with Large Language Models
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139
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SG-OIF: A Stability-Guided Online Influence Framework for Reliable Vision Data
SG-OIF: A Stability-Guided Online Influence Framework for Reliable Vision Data
Penghao Rao
Runmin Jiang
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126
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Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures
Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures
Haohui Wang
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Jun Wu
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170
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Additive Large Language Models for Semi-Structured Text
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Raghuveer Thirukovalluru
David Edwin Carlson
128
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14 Nov 2025
ClinStructor: AI-Powered Structuring of Unstructured Clinical Texts
ClinStructor: AI-Powered Structuring of Unstructured Clinical Texts
Karthikeyan K
Raghuveer Thirukovalluru
David Edwin Carlson
177
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Data Descriptions from Large Language Models with Influence Estimation
Data Descriptions from Large Language Models with Influence Estimation
Chaeri Kim
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105
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Algorithm-Relative Trajectory Valuation in Policy Gradient Control
Algorithm-Relative Trajectory Valuation in Policy Gradient Control
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116
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Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning
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First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation
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Anshuman Chhabra
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402
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In Good GRACEs: Principled Teacher Selection for Knowledge Distillation
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A. Panigrahi
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242
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Not All Instances Are Equally Valuable: Towards Influence-Weighted Dataset Distillation
Not All Instances Are Equally Valuable: Towards Influence-Weighted Dataset Distillation
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Seong Joon Oh
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Accumulative SGD Influence Estimation for Data Attribution
Accumulative SGD Influence Estimation for Data Attribution
Yunxiao Shi
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Min Xu
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289
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Data-Efficient RLVR via Off-Policy Influence Guidance
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Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks
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216
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Adaptive Data Selection for Multi-Layer Perceptron Training: A Sub-linear Value-Driven Method
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Xiyang Zhang
Chen Liang
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158
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Layer-Aware Influence for Online Data Valuation Estimation
Layer-Aware Influence for Online Data Valuation Estimation
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280
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Z0-Inf: Zeroth Order Approximation for Data Influence
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Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering
Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering
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f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
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