Fetching the paper…
Reading the bibliography…
Quantifying the impact of training data points is crucial for understanding the outputs of machine learning models and for improving the transparency of the AI pipeline.
Approximate confidence intervals
MS Bartlett · 1953
Earlier work this paper cites.
The influence curve and its role in robust estimation
Frank R Hampel · 1974
Earlier work this paper cites.
Characterizations of an empirical influence function for detecting influential cases in regression
R Dennis Cook and Sanford Weisberg · 1980
Earlier work this paper cites.
Influence functionals for time series
R Douglas Martin and Victor J Yohai · 1986
Earlier work this paper cites.
Asymptotic statistics , volume 3
Aad W Van der Vaart · 2000
Earlier work this paper cites.
Automatically constructing a corpus of sentential paraphrases
Bill Dolan and Chris Brockett · 2005
Earlier work this paper cites.
Deep learning via hessian-free optimization
James Martens · 2010
Earlier work this paper cites.
The winograd schema challenge
Hector Levesque, Ernest Davis, and Leora Morgenstern · 2012
Earlier work this paper cites.
Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, and Christopher Potts · 2013
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
Earlier work this paper cites.
Second-order stochastic optimization for machine learning in linear time
Naman Agarwal, Brian Bullins, and Elad Hazan · 2017
Earlier work this paper cites.
Understanding black-box predictions via influence functions
Pang Wei Koh and Percy Liang · 2017
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Earlier work this paper cites.
Fast approximate natural gradient descent in a kronecker factored eigenbasis
Thomas George, César Laurent, Xavier Bouthillier, Nicolas Ballas, and Pascal Vincent · 2018
Earlier work this paper cites.
Glue: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R Bowman · 2018
Earlier work this paper cites.
Input similarity from the neural network perspective
Guillaume Charpiat, Nicolas Girard, Loris Felardos, and Yuliya Tarabalka · 2019
Earlier work this paper cites.
Data shapley: Equitable valuation of data for machine learning
Amirata Ghorbani and James Zou · 2019
Earlier work this paper cites.
Efficient task-specific data valuation for nearest neighbor algorithms
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gurel, Bo Li, Ce Zhang, Costas Spanos, and Dawn Song · 2019
Earlier work this paper cites.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
Earlier work this paper cites.
Repairing without retraining: Avoiding disparate impact with counterfactual distributions
Hao Wang, Berk Ustun, and Flavio Calmon · 2019
Cited alongside, same era.
Influence functions in deep learning are fragile
Samyadeep Basu, Phil Pope, and Soheil Feizi · 2020
Cited alongside, same era.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Cited alongside, same era.
What neural networks memorize and why: Discovering the long tail via influence estimation
Vitaly Feldman and Chiyuan Zhang · 2020
Cited alongside, same era.
Explaining black box predictions and unveiling data artifacts through influence functions
Xiaochuang Han, Byron C Wallace, and Yulia Tsvetkov · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Later among the works it cites.
Scaling up influence functions
Andrea Schioppa, Polina Zablotskaia, David Vilar, and Artem Sokolov · 2022
Later among the works it cites.
Data valuation in machine learning:“ingredients”, strategies, and open challenges
Rachael Hwee Ling Sim, Xinyi Xu, and Bryan Kian Hsiang Low · 2022
Later among the works it cites.
Davinz: Data valuation using deep neural networks at initialization
Zhaoxuan Wu, Yao Shu, and Bryan Kian Hsiang Low · 2022
Later among the works it cites.
Interpreting the decisions of cnns via influence functions
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Estimating training data influence by tracing gradient descent
Garima Pruthi, Frederick Liu, Satyen Kale, and Mukund Sundararajan · 2020
Cited alongside, same era.
Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al · 2020
Cited alongside, same era.
Data valuation using reinforcement learning
Jinsung Yoon, Sercan Arik, and Tomas Pfister · 2020
Cited alongside, same era.
Persistent anti-muslim bias in large language models
Abubakar Abid, Maheen Farooqi, and James Zou · 2021
Cited alongside, same era.
Fastif: Scalable influence functions for efficient model interpretation and debugging
Han Guo, Nazneen Rajani, Peter Hase, Mohit Bansal, and Caiming Xiong · 2021
Cited alongside, same era.
Lora: Low-rank adaptation of large language models
Edward J Hu, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al · 2021
Cited alongside, same era.
Aisha Aamir, Minija Tamosiunaite, and Florentin Wörgötter · 2023
Closest in time.
Should chatgpt be biased? challenges and risks of bias in large language models
Emilio Ferrara · 2023
Closest in time.
Studying large language model generalization with influence functions
Roger Grosse, Juhan Bae, Cem Anil, Nelson Elhage, Alex Tamkin, Amirhossein Tajdini, Benoit Steiner, Dustin Li, Esin Durmus, Ethan Perez, et al · 2023
Closest in time.
jainr3/diffusiondb-pixelart · Datasets at Hugging Face — huggingface.co
Jainr3 · 2023
Closest in time.
Opendataval: a unified benchmark for data valuation
Kevin Fu Jiang, Weixin Liang, James Zou, and Yongchan Kwon · 2023
Closest in time.
Is chatgpt a good translator? a preliminary study
Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Xing Wang, and Zhaopeng Tu · 2023
Closest in time.
Data-oob: Out-of-bag estimate as a simple and efficient data value
Yongchan Kwon and James Zou · 2023
Closest in time.
Norod78/cartoon-blip-captions · Datasets at Hugging Face — huggingface.co
Norod78 · 2023
Closest in time.
Trak: Attributing model behavior at scale
Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, and Aleksander Madry · 2023
Closest in time.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
Closest in time.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
Closest in time.
Data banzhaf: A robust data valuation framework for machine learning
Jiachen T. Wang and Ruoxi Jia · 2023
Closest in time.
A privacy-friendly approach to data valuation
Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, and Prateek Mittal · 2023
Closest in time.
zoheb/sketch-scene · Datasets at Hugging Face — huggingface.co
Zoheb · 2023
Closest in time.