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2003.11630
Cited By
RelatIF: Identifying Explanatory Training Examples via Relative Influence
25 March 2020
Elnaz Barshan
Marc-Etienne Brunet
Gintare Karolina Dziugaite
TDI
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Papers citing
"RelatIF: Identifying Explanatory Training Examples via Relative Influence"
26 / 26 papers shown
Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes
Wei-Kai Chang
Rajiv Khanna
230
0
0
21 Nov 2025
HyperINF: Unleashing the HyperPower of the Schulz's Method for Data Influence Estimation
Xinyu Zhou
Simin Fan
Martin Jaggi
TDI
435
4
0
07 Oct 2024
Global-to-Local Support Spectrums for Language Model Explainability
Lucas Agussurja
Xinyang Lu
Bryan Kian Hsiang Low
FAtt
225
0
0
12 Aug 2024
The Susceptibility of Example-Based Explainability Methods to Class Outliers
Ikhtiyor Nematov
Kleopatra Markou
Tomer Sagi
Katja Hose
331
2
0
30 Jul 2024
Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging
Tommaso Torda
Andrea Ciardiello
Simona Gargiulo
Greta Grillo
Simone Scardapane
Cecilia Voena
S. Giagu
352
1
0
05 Apr 2024
Generalizing Medical Image Representations via Quaternion Wavelet Networks
Luigi Sigillo
Eleonora Grassucci
A. Uncini
Danilo Comminiello
MedIm
624
11
0
16 Oct 2023
Additional Positive Enables Better Representation Learning for Medical Images
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Jingtong Hu
Yiyu Shi
SSL
218
2
0
31 May 2023
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction
International Conference on Human Factors in Computing Systems (CHI), 2023
Zhijie Wang
Yuheng Huang
Basel Alomair
Lei Ma
Tianyi Zhang
HAI
320
8
0
02 Mar 2023
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Irina Bejan
Artem Sokolov
Katja Filippova
TDI
423
23
0
27 Feb 2023
Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning
Maximilian Mozes
Tolga Bolukbasi
Ann Yuan
Frederick Liu
Nithum Thain
Lucas Dixon
214
5
0
13 Feb 2023
How Many and Which Training Points Would Need to be Removed to Flip this Prediction?
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Jinghan Yang
Sarthak Jain
Byron C. Wallace
216
12
0
04 Feb 2023
Contrastive Error Attribution for Finetuned Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Faisal Ladhak
Esin Durmus
Tatsunori Hashimoto
HILM
382
16
0
21 Dec 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
266
27
0
03 Oct 2022
Repairing Neural Networks by Leaving the Right Past Behind
Neural Information Processing Systems (NeurIPS), 2022
Ryutaro Tanno
Melanie F. Pradier
A. Nori
Yingzhen Li
KELM
435
40
0
11 Jul 2022
TracInAD: Measuring Influence for Anomaly Detection
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Hugo Thimonier
Fabrice Popineau
Arpad Rimmel
Bich-Liên Doan
Fabrice Daniel
TDI
371
8
0
03 May 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation
Conference on Computer and Communications Security (CCS), 2022
Zayd Hammoudeh
Daniel Lowd
TDI
352
42
0
25 Jan 2022
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates
Xiaochuang Han
Yulia Tsvetkov
TDI
335
35
0
07 Oct 2021
Behavior of k-NN as an Instance-Based Explanation Method
Chhavi Yadav
Kamalika Chaudhuri
FAtt
154
2
0
14 Sep 2021
Machine Unlearning of Features and Labels
Network and Distributed System Security Symposium (NDSS), 2021
Alexander Warnecke
Lukas Pirch
Christian Wressnegger
Konrad Rieck
MU
688
295
0
26 Aug 2021
DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement
Umang Bhatt
Isabel Chien
Muhammad Bilal Zafar
Adrian Weller
TDI
194
6
0
13 Jul 2021
Combining Feature and Instance Attribution to Detect Artifacts
Findings (Findings), 2021
Pouya Pezeshkpour
Sarthak Jain
Sameer Singh
Byron C. Wallace
TDI
472
47
0
01 Jul 2021
Interactive Label Cleaning with Example-based Explanations
Neural Information Processing Systems (NeurIPS), 2021
Stefano Teso
A. Bontempelli
Fausto Giunchiglia
Baptiste Caramiaux
423
59
0
07 Jun 2021
Understanding Instance-based Interpretability of Variational Auto-Encoders
Neural Information Processing Systems (NeurIPS), 2021
Zhifeng Kong
Kamalika Chaudhuri
TDI
453
30
0
29 May 2021
An Empirical Comparison of Instance Attribution Methods for NLP
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Pouya Pezeshkpour
Sarthak Jain
Byron C. Wallace
Sameer Singh
TDI
249
43
0
09 Apr 2021
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yuanyuan Chen
Boyang Albert Li
Han Yu
Pengcheng Wu
Chunyan Miao
TDI
533
50
0
04 Feb 2021
Fortifying Toxic Speech Detectors Against Veiled Toxicity
Xiaochuang Han
Yulia Tsvetkov
TDI
227
16
0
07 Oct 2020
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