LossVal: Efficient Data Valuation for Neural Networks | Paper Citation Record

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This paper cites A Marketplace for Data : An Algorithmic Solution.

LossVal: Efficient Data Valuation for Neural Networks A Marketplace for Data : An Algorithmic Solution

Reference 2

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This paper cites Explaining Recurrent Neural Network Predictions in Sentiment Analysis , 2017.

LossVal: Efficient Data Valuation for Neural Networks Explaining Recurrent Neural Network Predictions in Sentiment Analysis , 2017

Reference 3

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LossVal: Efficient Data Valuation for Neural Networks K., Rabus, M., and Krestel, R

Reference 6

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LossVal: Efficient Data Valuation for Neural Networks K., Mekki, D

Reference 7

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LossVal: Efficient Data Valuation for Neural Networks H., Olshen, R

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LossVal: Efficient Data Valuation for Neural Networks The Effects of Data Quality on Machine Learning Performance , 2022

Reference 9

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This paper cites CHG Shapley : Efficient Data Valuation and Selection towards Trustworthy Machine Learning , June 2024.

LossVal: Efficient Data Valuation for Neural Networks CHG Shapley : Efficient Data Valuation and Selection towards Trustworthy Machine Learning , June 2024

Reference 10

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LossVal: Efficient Data Valuation for Neural Networks and Lemaire, V

Reference 11

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LossVal: Efficient Data Valuation for Neural Networks Data evaluation and enhancement for quality improvement of machine learning

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Reference 13

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LossVal: Efficient Data Valuation for Neural Networks Towards Model-based Pricing for Machine Learning in a Data Marketplace

Reference 14

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LossVal: Efficient Data Valuation for Neural Networks Precedence- Constrained Winter Value for Effective Graph Data Valuation , March 2024

Reference 15

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LossVal: Efficient Data Valuation for Neural Networks Sinkhorn Distances : Lightspeed Computation of Optimal Transport

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LossVal: Efficient Data Valuation for Neural Networks Euro NCAP database

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LossVal: Efficient Data Valuation for Neural Networks J., Mills, G

Reference 21

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LossVal: Efficient Data Valuation for Neural Networks and Zhang, C

Reference 22

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LossVal: Efficient Data Valuation for Neural Networks Interpolating between Optimal Transport and MMD using Sinkhorn Divergences

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LossVal: Efficient Data Valuation for Neural Networks OpenML-CTR23 -- A curated tabular regression benchmarking suite

Reference 24

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LossVal: Efficient Data Valuation for Neural Networks Learning with Drift Detection

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LossVal: Efficient Data Valuation for Neural Networks DU-Shapley : A Shapley Value Proxy for Efficient Dataset Valuation , June 2023

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LossVal: Efficient Data Valuation for Neural Networks and Zou, J

Reference 28

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LossVal: Efficient Data Valuation for Neural Networks A Distributional Framework For Data Valuation

Reference 29

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LossVal: Efficient Data Valuation for Neural Networks Structural optimization for crash pulse

Reference 30

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LossVal: Efficient Data Valuation for Neural Networks F., Hase, P., Bansal, M., and Xiong, C

Reference 31

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LossVal: Efficient Data Valuation for Neural Networks Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs , March 2023

Reference 32

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LossVal: Efficient Data Valuation for Neural Networks and Lowd, D

Reference 33

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LossVal: Efficient Data Valuation for Neural Networks O., Belin, M.- ., and Lundgren, B

Reference 34

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

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LossVal: Efficient Data Valuation for Neural Networks A study on ride-down efficiency and occupant responses in high speed crash tests

Reference 36

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LossVal: Efficient Data Valuation for Neural Networks T., and Jia, R

Reference 37

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LossVal: Efficient Data Valuation for Neural Networks A., Gurel, N

Reference 38

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LossVal: Efficient Data Valuation for Neural Networks Scalability vs

Reference 39

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LossVal: Efficient Data Valuation for Neural Networks F., Liang, W., Zou, J., and Kwon, Y

Reference 40

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LossVal: Efficient Data Valuation for Neural Networks A., Kang, F., Wang, J

Reference 41

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LossVal: Efficient Data Valuation for Neural Networks SAVA : Scalable Learning-Agnostic Data Valuation , June 2024

Reference 42

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

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LossVal: Efficient Data Valuation for Neural Networks Efficient Estimation of Influence of a Training Instance

Reference 44

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LossVal: Efficient Data Valuation for Neural Networks W., Ang, K.-S., Teo, H

Reference 46

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LossVal: Efficient Data Valuation for Neural Networks u bler, L., Gargallo, S., and Els \

Reference 47

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LossVal: Efficient Data Valuation for Neural Networks Self- Paced Learning for Latent Variable Models

Reference 48

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LossVal: Efficient Data Valuation for Neural Networks and Zou, J

Reference 49

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LossVal: Efficient Data Valuation for Neural Networks and Zou, J

Reference 50

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LossVal: Efficient Data Valuation for Neural Networks Y., Miklau, G., and Suciu, D

Reference 51

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LossVal: Efficient Data Valuation for Neural Networks Neural Dynamic Data Valuation , June 2024

Reference 52

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LossVal: Efficient Data Valuation for Neural Networks Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments , June 2022

Reference 53

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LossVal: Efficient Data Valuation for Neural Networks Focal Loss for Dense Object Detection , February 2018

Reference 54

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 55

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This paper cites Damage Prediction and Crashworthiness Optimization of FOBEVs in Positive Crashes for Battery Electric Vehicles.

LossVal: Efficient Data Valuation for Neural Networks Damage Prediction and Crashworthiness Optimization of FOBEVs in Positive Crashes for Battery Electric Vehicles

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LossVal: Efficient Data Valuation for Neural Networks D., and Vielhaber, M

Reference 58

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LossVal: Efficient Data Valuation for Neural Networks M., and Poor, H

Reference 59

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LossVal: Efficient Data Valuation for Neural Networks Interpretable Machine Learning : A Guide for Making Black Box Models Explainable

Reference 60

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LossVal: Efficient Data Valuation for Neural Networks Interpreting Machine Learning Models with SHAP : A Guide with Python Examples and Theory on Shapley Values

Reference 61

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LossVal: Efficient Data Valuation for Neural Networks National highway traffic safety administration database

Reference 62

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LossVal: Efficient Data Valuation for Neural Networks P., Bajardi, P., and Panisson, A

Reference 63

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Reference 64

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LossVal: Efficient Data Valuation for Neural Networks M., Georgiev, K., Ilyas, A., Leclerc, G., and Madry, A

Reference 65

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Reference 66

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LossVal: Efficient Data Valuation for Neural Networks Estimating Training Data Influence by Tracing Gradient Descent

Reference 67

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LossVal: Efficient Data Valuation for Neural Networks Modell zur Prognose von Dummybelastungen f \"u r eine effiziente Auslegung der Passiven Sicherheit von Fahrzeugen , 2024

Reference 68

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LossVal: Efficient Data Valuation for Neural Networks K., Maurer, S

Reference 69

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LossVal: Efficient Data Valuation for Neural Networks Data Markets to support AI for All : Pricing , Valuation and Governance , May 2019

Reference 70

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LossVal: Efficient Data Valuation for Neural Networks P., Yang, H.-J., Zhu, J., Liu, Y., Stancu, I., and McGregor, G

Reference 71

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LossVal: Efficient Data Valuation for Neural Networks Gradient Sketches for Training Data Attribution and Studying the Loss Landscape , February 2024

Reference 72

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LossVal: Efficient Data Valuation for Neural Networks Scaling Up Influence Functions

Reference 73

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LossVal: Efficient Data Valuation for Neural Networks CS-Shapley : Class-wise Shapley Values for Data Valuation in Classification

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:47:38.632213Z

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LossVal: Efficient Data Valuation for Neural Networks New Families of Solutions for the Space Time Fractional Burgers Equation

Reference 75

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LossVal: Efficient Data Valuation for Neural Networks Adaptive restraint design for a diverse population through machine learning

Reference 76

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LossVal: Efficient Data Valuation for Neural Networks 2D-OOB : Attributing Data Contribution Through Joint Valuation Framework , October 2024

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:47:38.616654Z

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LossVal: Efficient Data Valuation for Neural Networks M., Chen, B., and Kankanhalli, M

Reference 78

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Reference 79

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LossVal: Efficient Data Valuation for Neural Networks Private Data Valuation and Fair Payment in Data Marketplaces , February 2023

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:47:38.599220Z

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Reference 81

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Reference 82

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LossVal: Efficient Data Valuation for Neural Networks T., Mittal, P., Song, D., and Jia, R

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:47:38.550924Z

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LossVal: Efficient Data Valuation for Neural Networks A Comprehensive Survey of Loss Functions in Machine Learning

Reference 84

Resolution: verified exact; doi, observed 2026-08-11T21:47:36.656619Z

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Reference 85

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LossVal: Efficient Data Valuation for Neural Networks S., and Bilkhu, S

Reference 86

Resolution: verified exact; raw_fallback, observed 2026-08-11T21:47:37.113090Z

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Observation a5405bb6-0ebc-4dec-be38-841c1c7d5398 · outbound

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Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-11T21:47:38.518295Z

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Reference 88

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LossVal: Efficient Data Valuation for Neural Networks S., and Low, B

Reference 89

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Observation cfef9d14-c0d2-4592-a8d4-a915bff06ed7 · outbound

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Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-11T21:47:38.464841Z

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LossVal: Efficient Data Valuation for Neural Networks E.-H., and Ravikumar, P

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:47:38.448476Z

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Observation ca0d6736-32d9-408d-b01b-d871898c12c8 · outbound

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LossVal: Efficient Data Valuation for Neural Networks Who's responsible? Jointly quantifying the contribution of the learning algorithm and data

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T21:47:36.605285Z

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LossVal: Efficient Data Valuation for Neural Networks Data Valuation using Reinforcement Learning

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:47:38.431912Z

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Observation 98b62b0c-5f96-43e3-b4fc-cd10d8bf6f52 · outbound

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LossVal: Efficient Data Valuation for Neural Networks Towards Data Valuation via Asymmetric Data Shapley , November 2024

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:47:38.415379Z

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Pith citing papers