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Cited By
Datamodels: Predicting Predictions from Training Data
1 February 2022
Andrew Ilyas
Sung Min Park
Logan Engstrom
Guillaume Leclerc
Aleksander Madry
TDI
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Papers citing
"Datamodels: Predicting Predictions from Training Data"
36 / 136 papers shown
A Bayesian Approach To Analysing Training Data Attribution In Deep Learning
Neural Information Processing Systems (NeurIPS), 2023
Elisa Nguyen
Minjoon Seo
Seong Joon Oh
BDL
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12
0
31 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
ACM Computing Surveys (ACM Comput. Surv.), 2023
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
555
108
0
10 May 2023
DataComp: In search of the next generation of multimodal datasets
Neural Information Processing Systems (NeurIPS), 2023
S. Gadre
Gabriel Ilharco
Alex Fang
J. Hayase
Georgios Smyrnis
...
A. Dimakis
J. Jitsev
Y. Carmon
Vaishaal Shankar
Ludwig Schmidt
VLM
639
591
0
27 Apr 2023
On the Variance of Neural Network Training with respect to Test Sets and Distributions
International Conference on Learning Representations (ICLR), 2023
Keller Jordan
OOD
369
20
0
04 Apr 2023
Foundation Models and Fair Use
Journal of machine learning research (JMLR), 2023
Peter Henderson
Xuechen Li
Dan Jurafsky
Tatsunori Hashimoto
Christopher De Sa
Abigail Z. Jacobs
187
156
0
28 Mar 2023
Identification of Negative Transfers in Multitask Learning Using Surrogate Models
Dongyue Li
Huy Le Nguyen
Hongyang R. Zhang
232
18
0
25 Mar 2023
TRAK: Attributing Model Behavior at Scale
International Conference on Machine Learning (ICML), 2023
Sung Min Park
Kristian Georgiev
Andrew Ilyas
Guillaume Leclerc
Aleksander Madry
TDI
400
229
0
24 Mar 2023
Partial Network Cloning
Computer Vision and Pattern Recognition (CVPR), 2023
Jingwen Ye
Songhua Liu
Xinchao Wang
CLL
215
16
0
19 Mar 2023
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
International Conference on Machine Learning (ICML), 2023
Yiwei Lu
Gautam Kamath
Yaoliang Yu
AAML
227
24
0
07 Mar 2023
Internet Explorer: Targeted Representation Learning on the Open Web
International Conference on Machine Learning (ICML), 2023
Alexander C. Li
Ellis L Brown
Alexei A. Efros
Deepak Pathak
VLM
220
31
0
27 Feb 2023
In-context Example Selection with Influences
Nguyen Tai
Eric Wong
360
68
0
21 Feb 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
Neural Information Processing Systems (NeurIPS), 2023
Jang-Hyun Kim
Sangdoo Yun
Hyun Oh Song
444
23
0
29 Jan 2023
Cramming: Training a Language Model on a Single GPU in One Day
International Conference on Machine Learning (ICML), 2022
Jonas Geiping
Tom Goldstein
MoE
270
102
0
28 Dec 2022
Contrastive Error Attribution for Finetuned Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Faisal Ladhak
Esin Durmus
Tatsunori Hashimoto
HILM
309
16
0
21 Dec 2022
Data Curation Alone Can Stabilize In-context Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Ting-Yun Chang
Robin Jia
160
62
0
20 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Neural Information Processing Systems (NeurIPS), 2022
Mazda Moayeri
Wenxiao Wang
Sahil Singla
Soheil Feizi
426
18
0
05 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Neural Information Processing Systems (NeurIPS), 2022
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
378
11
0
01 Dec 2022
ModelDiff: A Framework for Comparing Learning Algorithms
International Conference on Machine Learning (ICML), 2022
Harshay Shah
Sung Min Park
Andrew Ilyas
Aleksander Madry
SyDa
203
34
0
22 Nov 2022
Learning to Counterfactually Explain Recommendations
Yuanshun Yao
Chong Wang
Hang Li
CML
OffRL
157
2
0
17 Nov 2022
A picture of the space of typical learnable tasks
International Conference on Machine Learning (ICML), 2022
Rahul Ramesh
Jialin Mao
Itay Griniasty
Rubing Yang
H. Teoh
Mark K. Transtrum
James P. Sethna
Pratik Chaudhari
SSL
DRL
408
6
0
31 Oct 2022
Influence Functions for Sequence Tagging Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Sarthak Jain
Varun Manjunatha
Byron C. Wallace
A. Nenkova
TDI
195
9
0
25 Oct 2022
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
Yuxin Wen
Arpit Bansal
Hamid Kazemi
Eitan Borgnia
Micah Goldblum
Jonas Geiping
Tom Goldstein
MIACV
277
40
0
19 Oct 2022
Understanding Influence Functions and Datamodels via Harmonic Analysis
International Conference on Learning Representations (ICLR), 2022
Nikunj Saunshi
Arushi Gupta
M. Braverman
Sanjeev Arora
TDI
220
23
0
03 Oct 2022
Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin
Tanguy Lefort
Benjamin Charlier
Alexis Joly
Joseph Salmon
290
6
0
30 Sep 2022
A Data-Based Perspective on Transfer Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Saachi Jain
Hadi Salman
Alaa Khaddaj
Eric Wong
Sung Min Park
Aleksander Madry
188
47
0
12 Jul 2022
Distilling Model Failures as Directions in Latent Space
International Conference on Learning Representations (ICLR), 2022
Saachi Jain
Hannah Lawrence
Ankur Moitra
Aleksander Madry
270
98
0
29 Jun 2022
The Privacy Onion Effect: Memorization is Relative
Neural Information Processing Systems (NeurIPS), 2022
Nicholas Carlini
Matthew Jagielski
Chiyuan Zhang
Nicolas Papernot
Seth Neel
Florian Tramèr
PILM
MIACV
347
137
0
21 Jun 2022
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
International Conference on Machine Learning (ICML), 2022
Jinkun Lin
Anqi Zhang
Mathias Lécuyer
Jinyang Li
Aurojit Panda
S. Sen
TDI
FedML
204
63
0
20 Jun 2022
On the Permanence of Backdoors in Evolving Models
Huiying Li
A. Bhagoji
Yuxin Chen
Haitao Zheng
Ben Y. Zhao
AAML
249
3
0
08 Jun 2022
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Jiachen T. Wang
R. Jia
FedML
TDI
700
137
0
30 May 2022
Interpolating Compressed Parameter Subspaces
Siddhartha Datta
N. Shadbolt
231
5
0
19 May 2022
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation
Yi-Fan Zhang
Hanlin Zhang
Zachary Chase Lipton
Li Erran Li
Eric P. Xing
OODD
379
34
0
02 Feb 2022
Counterfactual Memorization in Neural Language Models
Neural Information Processing Systems (NeurIPS), 2021
Chiyuan Zhang
Daphne Ippolito
Katherine Lee
Matthew Jagielski
Florian Tramèr
Nicholas Carlini
312
168
0
24 Dec 2021
ModelPred: A Framework for Predicting Trained Model from Training Data
Yingyan Zeng
Jiachen T. Wang
Si-An Chen
H. Just
Ran Jin
R. Jia
TDI
MU
246
4
0
24 Nov 2021
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Neural Information Processing Systems (NeurIPS), 2020
Vitaly Feldman
Chiyuan Zhang
TDI
537
564
0
09 Aug 2020
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
2.5K
19,805
0
16 Feb 2016
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