Better Training Data Attribution via Better Inverse Hessian-Vector Products | Paper Citation Record

Observation 4d6c20fe-90c0-45fb-9f84-3884d85ce1ea · outbound

This paper cites What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions.

Better Training Data Attribution via Better Inverse Hessian-Vector Products What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 1

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Observation 7fff5dfa-c60a-483f-b3f8-091b63c9a5f4 · outbound

This paper cites Improving subgroup robustness via data selection.Advances in Neural Information Processing Systems, 37:94490–94511, 2024.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Improving subgroup robustness via data selection.Advances in Neural Information Processing Systems, 37:94490–94511, 2024

Reference 2

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This paper cites Interactive label cleaning with example-based explanations.Advances in Neural Information Processing Systems, 34:12966–12977, 2021.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Interactive label cleaning with example-based explanations.Advances in Neural Information Processing Systems, 34:12966–12977, 2021

Reference 3

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Observation 71cf3544-6636-4d42-812c-f44d1edac0bf · outbound

This paper cites Data cleansing for models trained with sgd.Advances in Neural Information Processing Systems, 32, 2019.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Data cleansing for models trained with sgd.Advances in Neural Information Processing Systems, 32, 2019

Reference 4

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Observation 75abe443-9a4b-44f7-97f3-e1cec7fad187 · outbound

This paper cites On the accuracy of influence functions for measuring group effects.Advances in neural information processing systems, 32, 2019.

Better Training Data Attribution via Better Inverse Hessian-Vector Products On the accuracy of influence functions for measuring group effects.Advances in neural information processing systems, 32, 2019

Reference 5

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Observation c4f04e8c-d519-4011-bfe2-d2ed888e7ca6 · outbound

This paper cites Representer point selection for explaining deep neural networks.Advances in neural information processing systems, 31, 2018.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Representer point selection for explaining deep neural networks.Advances in neural information processing systems, 31, 2018

Reference 6

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Observation 4d447323-e630-4922-bd9e-c3b3b2780e30 · outbound

This paper cites Studying Large Language Model Generalization with Influence Functions.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Studying Large Language Model Generalization with Influence Functions

Reference 7

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Observation 0881a6a2-38ed-41fb-bc7f-85e9c7b23cc1 · outbound

This paper cites Towards Tracing Factual Knowledge in Language Models Back to the Training Data.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Towards Tracing Factual Knowledge in Language Models Back to the Training Data

Reference 8

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Observation 69a9a371-8b61-48b7-add5-0612ba8a4dfc · outbound

This paper cites Error discovery by clustering influence embeddings.Advances in Neural Information Processing Systems, 36:41765–41777, 2023.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Error discovery by clustering influence embeddings.Advances in Neural Information Processing Systems, 36:41765–41777, 2023

Reference 9

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Observation 81abf800-ee1b-4e0c-8b17-9521223c62bf · outbound

This paper cites Datamodels: Predicting Predictions from Training Data.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Datamodels: Predicting Predictions from Training Data

Reference 10

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Observation de0e8e57-256d-49b2-8559-7bdf3abaa7c1 · outbound

This paper cites Influence Functions for Scalable Data Attribution in Diffusion Models.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Influence Functions for Scalable Data Attribution in Diffusion Models

Reference 11

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Observation 9f9ba4a5-4cfa-41ca-9218-16343955cb86 · outbound

This paper cites Understanding the origins of bias in word embeddings.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Understanding the origins of bias in word embeddings

Reference 12

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Observation 295ab03a-b955-48f8-af3f-3a55aa6cebc7 · outbound

This paper cites Fairif: Boosting fairness in deep learning via influence functions with validation set sensitive attributes.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Fairif: Boosting fairness in deep learning via influence functions with validation set sensitive attributes

Reference 13

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Observation f39c9a40-f1d0-479d-8880-10c79e46704f · outbound

This paper cites On memorization in probabilistic deep generative models.Advances in Neural Information Processing Systems, 34:27916–27928, 2021.

Better Training Data Attribution via Better Inverse Hessian-Vector Products On memorization in probabilistic deep generative models.Advances in Neural Information Processing Systems, 34:27916–27928, 2021

Reference 14

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Observation fabade7f-c400-43c9-b870-d243d4127910 · outbound

This paper cites Who Owns the Output? Bridging Law and Technology in LLMs Attribution.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Who Owns the Output? Bridging Law and Technology in LLMs Attribution

Reference 15

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Observation 44dedcd0-87cf-46b7-a16c-ad91e19f6f1a · outbound

This paper cites The influence curve and its role in robust estimation.Journal of the american statistical association, 69(346):383–393, 1974.

Better Training Data Attribution via Better Inverse Hessian-Vector Products The influence curve and its role in robust estimation.Journal of the american statistical association, 69(346):383–393, 1974

Reference 16

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Observation 44ea3784-e669-4319-b208-d2637c8a8016 · outbound

This paper cites Understanding black-box predictions via influence functions.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Understanding black-box predictions via influence functions

Reference 17

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Observation e295c1d7-2b0b-4d02-a6fe-4dd0e375bae1 · outbound

This paper cites Hydra: Hypergradi- ent data relevance analysis for interpreting deep neural networks.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Hydra: Hypergradi- ent data relevance analysis for interpreting deep neural networks

Reference 18

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Observation c1800acf-baf2-4dcb-9391-ed2922cc871b · outbound

This paper cites Training Data Attribution via Approximate Unrolled Differentiation.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Training Data Attribution via Approximate Unrolled Differentiation

Reference 19

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This paper cites Capturing the Temporal Dependence of Training Data Influence.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Capturing the Temporal Dependence of Training Data Influence

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Observation 4c7db193-a0bf-4e0e-85a7-89e3682e91f4 · outbound

This paper cites MAGIC: Near-Optimal Data Attribution for Deep Learning.

Better Training Data Attribution via Better Inverse Hessian-Vector Products MAGIC: Near-Optimal Data Attribution for Deep Learning

Reference 21

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Observation 0386e0a6-6132-4f45-b9ac-d3e55057f9e7 · outbound

This paper cites TRAK: Attributing Model Behavior at Scale.

Better Training Data Attribution via Better Inverse Hessian-Vector Products TRAK: Attributing Model Behavior at Scale

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Observation ce856ab6-9b65-4ddb-a04b-0bb8533528c5 · outbound

This paper cites Second-order stochastic optimization for machine learning in linear time.Journal of Machine Learning Research, 18(116):1–40, 2017.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Second-order stochastic optimization for machine learning in linear time.Journal of Machine Learning Research, 18(116):1–40, 2017

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Observation 75d95e62-7f7d-426b-92b0-fada077e5ceb · outbound

This paper cites Cambridge university press, 2012.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Cambridge university press, 2012

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Observation c3f7b056-fa0f-4d02-b03d-94a99f3b7aaa · outbound

This paper cites Optimizing millions of hyperparameters by implicit differentiation.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Optimizing millions of hyperparameters by implicit differentiation

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Observation aefacf57-6c14-4732-a377-dbef43cb3c3a · outbound

This paper cites Optimizing neural networks with kronecker-factored approximate curvature.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Optimizing neural networks with kronecker-factored approximate curvature

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Observation c1916587-314d-4066-bc8b-347fa7f14861 · outbound

This paper cites Fast approximate natural gradient descent in a kronecker factored eigenbasis.Advances in Neural Information Processing Systems, 31, 2018.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Fast approximate natural gradient descent in a kronecker factored eigenbasis.Advances in Neural Information Processing Systems, 31, 2018

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Observation f95622b3-af45-4ead-9730-1995dbfa69bf · outbound

This paper cites Wright.Numerical optimization.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Wright.Numerical optimization

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Observation 303534d3-1afe-4093-b52d-0ab895000300 · outbound

This paper cites On implicit bias in overparameterized bilevel optimization.

Better Training Data Attribution via Better Inverse Hessian-Vector Products On implicit bias in overparameterized bilevel optimization

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Observation 8163ee90-3146-4e2d-bf0f-beb3df5b5b1a · outbound

This paper cites Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond

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This paper cites An investigation into neural net optimization via hessian eigenvalue density.

Better Training Data Attribution via Better Inverse Hessian-Vector Products An investigation into neural net optimization via hessian eigenvalue density

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Observation 329ee866-d212-4a55-8547-b5d32bd1c27d · outbound

This paper cites Revisiting inverse Hessian vector products for calculating influence functions.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Revisiting inverse Hessian vector products for calculating influence functions

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This paper cites Scaling up influence functions.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Scaling up influence functions

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This paper cites Influence Functions in Deep Learning Are Fragile.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Influence Functions in Deep Learning Are Fragile

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This paper cites Theoretical and practical perspectives on what influence functions do.Advances in Neural Information Processing Systems, 36, 2024.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Theoretical and practical perspectives on what influence functions do.Advances in Neural Information Processing Systems, 36, 2024

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Observation 164bf317-25e9-458a-91ac-b88d57da7a9c · outbound

This paper cites If influence functions are the answer, then what is the question?Advances in Neural Information Processing Systems, 35:17953–17967, 2022.

Better Training Data Attribution via Better Inverse Hessian-Vector Products If influence functions are the answer, then what is the question?Advances in Neural Information Processing Systems, 35:17953–17967, 2022

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Better Training Data Attribution via Better Inverse Hessian-Vector Products The proof and measurement of association between two things.The American Journal of Psychology, 15(1):72–101, 1904

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Spectral algorithms for supervised learning.Neural Computation, 20(7):1873–1897, 2008

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Observation 6b2b7934-af4b-40ba-bf83-177c57c6f527 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Understanding the difficulty of training deep feedforward neural networks

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Dropout: a simple way to prevent neural networks from overfitting.The journal of machine learning research, 15(1):1929–1958, 2014

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Efficient mini-batch training for stochastic optimization

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Observation 3351f825-c4ed-4a02-915f-027a6b061ccd · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Revisiting the fragility of influence functions.Neural Networks, 162:581–588, 2023

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Observation 8db51855-a26a-4a04-b7e1-a5f9540f5094 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products A bayesian approach to analysing training data attribution in deep learning.Advances in Neural Information Processing Systems, 36, 2024

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Gradient-based hyperparameter optimization through reversible learning

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Better Training Data Attribution via Better Inverse Hessian-Vector Products A scalable laplace approximation for neural networks

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Observation 2ed6a9ac-2654-476d-9064-bca4a35c4e7a · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude.COURSERA: Neural networks for machine learning, 4(2):26, 2012

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Observation 49279a8a-3ab9-4859-a25e-68729dd64955 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Adam: A Method for Stochastic Optimization

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Observation 0409a97e-1e0f-4757-a340-bb92354897e2 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products A stochastic quasi- newton method for large-scale optimization.SIAM Journal on Optimization, 26(2):1008–1031, 2016

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Neural network training dynamics, 2021

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Fast exact multiplication by the hessian.Neural computation, 6(1): 147–160, 1994

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Methods of conjugate gradients for solving linear systems.Journal of research of the National Bureau of Standards, 49(6):409–436, 1952

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Observation a4960d76-45ca-4473-9b05-90125f4c9f17 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Practical bayesian optimization of machine learning algorithms.Advances in neural information processing systems, 25, 2012

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Observation 268d1fdf-ea65-4bf8-b959-9c64d6d60c11 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Influential observations in linear regression.Journal of the American Statistical Association, 74(365):169–174, 1979

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Fast curvature matrix-vector products for second-order gradient descent

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Observation 72de3eef-ebbe-4bb3-a718-0929199b294f · outbound

This paper cites New insights and perspectives on the natural gradient method.Journal of Machine Learning Research, 21(146):1–76, 2020.

Better Training Data Attribution via Better Inverse Hessian-Vector Products New insights and perspectives on the natural gradient method.Journal of Machine Learning Research, 21(146):1–76, 2020

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Observation 98ccf434-3067-4fc0-92f1-60c95314b9fd · outbound

This paper cites The mirrored influence hypothesis: Efficient data influence estimation by harnessing forward passes.

Better Training Data Attribution via Better Inverse Hessian-Vector Products The mirrored influence hypothesis: Efficient data influence estimation by harnessing forward passes

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Better Training Data Attribution via Better Inverse Hessian-Vector Products explainable ai?

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Observation 07028868-f55a-4fbc-8a5c-cea027c5782f · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Training data influence analysis and estimation: A survey.Machine Learning, 113(5):2351–2403, 2024

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Observation 4bfa9273-c26a-4a25-84ac-6c388f3aa229 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Combining feature and instance attribution to detect artifacts

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Observation 1dd70596-96ba-49c1-bb20-7fce37ae84df · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Towards user-focused research in training data attribution for human-centered explainable ai.arXiv preprint arXiv:2409.16978, 2024

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Observation 3cf48b76-7d20-4929-9b13-2142d4f328aa · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Operationalizing Machine Learning: An Interview Study

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Observation dce471f9-58cf-45fe-8bad-f0dea4dfddb3 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products SIAM, 2003

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Observation 5808b216-d8c7-422f-80df-41426c8e9ac0 · outbound

This paper cites DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models.

Better Training Data Attribution via Better Inverse Hessian-Vector Products DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

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Observation 32d83fbc-baa6-4e59-8868-9a33d2ea6b23 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Function minimization by conjugate gradients.The computer journal, 7(2):149–154, 1964

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Observation 5e65870e-911e-4546-a0f9-2fc0e3b48eae · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Deep learning via hessian-free optimization

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Observation 487b0c0e-cef0-44bb-a471-4da95caa44cf · outbound

This paper cites dattri: A library for efficient data attribution.

Better Training Data Attribution via Better Inverse Hessian-Vector Products dattri: A library for efficient data attribution

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Observation ce782d40-482c-4e36-966c-f5ff0fe9593b · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Do Influence Functions Work on Large Language Models?

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Observation ba357036-4f6a-4eeb-818c-db1f2465bf5e · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Fletcher and M

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Observation 10931fc8-fca5-4c55-a9c9-64f36005b2b8 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products A class of methods for solving nonlinear simultaneous equations.Mathe- matics of computation, 19(92):577–593, 1965

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Observation 6c51745d-3611-4383-bc45-80a2a6b026fe · outbound

This paper cites On the limited memory bfgs method for large scale optimiza- tion.Mathematical programming, 45(1):503–528, 1989.

Better Training Data Attribution via Better Inverse Hessian-Vector Products On the limited memory bfgs method for large scale optimiza- tion.Mathematical programming, 45(1):503–528, 1989

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Source-reported events for the cited work

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Observation 3bbeb0b7-9cae-4e33-acdd-657de4e37b6c · outbound

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Observation 1ed5530f-1e6b-410d-8952-f0292d87194c · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Natural gradient works efficiently in learning.Neural computation, 10(2): 251–276, 1998

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Observation 8d9e2584-aa94-448a-b2cb-53d25cf1c652 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Noisy natural gradient as variational inference

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Observation 054ce2ad-437b-4aa1-a23b-e10d06a93944 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Learning recurrent neural networks with hessian-free optimization

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Observation 8b99613a-8a67-4038-be09-9a31e422ed04 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products PhD thesis, University of Toronto (Canada), 2025

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Observation afa01aab-6239-4365-b66a-3bff9b2f3690 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Uci machine learning repository

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Learning multiple layers of features from tiny images, 2009

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Deep residual learning for image recognition

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Better Training Data Attribution via Better Inverse Hessian-Vector Products MNIST handwritten digit database.ATT Labs, 2, 2010

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Observation 60c5bb24-f739-4e94-8b0b-4f8d8576065c · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Pointer Sentinel Mixture Models

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Estimating training data influence by tracing gradient descent.Advances in Neural Information Processing Systems, 33:19920–19930, 2020

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Better Training Data Attribution via Better Inverse Hessian-Vector Products A kronecker-factored approximate fisher matrix for con- volution layers

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Observation c371e076-b4bd-4247-8f67-8d00806ec6bb · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Revisiting Methods for Finding Influential Examples

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Most Influential Subset Selection: Challenges, Promises, and Beyond

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Observation d9f3325a-75fa-40b4-b621-ec4b881a521e · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Measuring Stochastic Data Complexity with Boltzmann Influence Functions

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Observation 4613b99c-b70c-48ee-9edc-c989f7b6e577 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Neural tangent kernel: Convergence and generalization in neural networks.Advances in neural information processing systems, 31, 2018

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Observation fcb11521-1b2b-446e-80e4-96249f4a2319 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Wide neural networks of any depth evolve as linear models under gradient descent.Advances in neural information processing systems, 32, 2019

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Better Training Data Attribution via Better Inverse Hessian-Vector Products More than a toy: Random matrix models predict how real-world neural representations generalize

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Observation be52fd51-44bb-4dc1-bb8d-8aa39273a47b · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Limitations of the empirical fisher approximation for natural gradient descent.Advances in neural information processing systems, 32, 2019

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Understanding influence functions and datamodels via harmonic analysis

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Observation c4e652a5-1bc6-461e-b9b6-c6ac7f4f5711 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products On second-order group influence functions for black-box predictions

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Observation 65480876-2f70-491a-8739-82a753a7af8e · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Simple and scalable predictive uncertainty estimation using deep ensembles.Advances in neural information processing systems, 30, 2017

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Observation ec4ee1e3-cf94-47dc-8cc6-73d3abfc7774 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Averaging Weights Leads to Wider Optima and Better Generalization

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Better Training Data Attribution via Better Inverse Hessian-Vector Products A simple baseline for bayesian uncertainty in deep learning.Advances in neural information processing systems, 32, 2019

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Bayesian deep learning and a probabilistic perspective of generalization.Advances in neural information processing systems, 33:4697–4708, 2020

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Observation c34c174d-c71e-44aa-bd2e-ea805dfb79ea · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Dropout as a bayesian approximation: Representing model uncertainty in deep learning

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Observation 0340cbe2-c608-40ce-96a7-7bef73112847 · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs

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Observation f68bf6c9-c425-4159-83bd-60f312aa30db · outbound

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Better Training Data Attribution via Better Inverse Hessian-Vector Products Statistics and causal inference.Journal of the American statistical Association, 81(396):945–960, 1986

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