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Data Cleansing for Models Trained with SGD

Data Cleansing for Models Trained with SGD

20 June 2019
Satoshi Hara
Atsushi Nitanda
Takanori Maehara
    TDI
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Papers citing "Data Cleansing for Models Trained with SGD"

15 / 15 papers shown
Title
Data Cleansing for GANs
Data Cleansing for GANs
Naoyuki Terashita
Hiroki Ohashi
Satoshi Hara
AAML
56
0
0
01 Apr 2025
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution
Shichang Zhang
Tessa Han
Usha Bhalla
Hima Lakkaraju
FAtt
147
0
0
17 Feb 2025
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions
Chenlu Ding
Jiancan Wu
Yancheng Yuan
Fan Zhang
Cunchun Li
Xiang Wang
Xiangnan He
71
1
0
01 Feb 2025
Data Debugging is NP-hard for Classifiers Trained with SGD
Data Debugging is NP-hard for Classifiers Trained with SGD
Zizheng Guo
Pengyu Chen
Yanzhang Fu
Xuelong Li
28
0
0
02 Aug 2024
Natural Example-Based Explainability: a Survey
Natural Example-Based Explainability: a Survey
Antonin Poché
Lucas Hervier
M. Bakkay
XAI
28
11
0
05 Sep 2023
Tailoring Instructions to Student's Learning Levels Boosts Knowledge
  Distillation
Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation
Yuxin Ren
Zi-Qi Zhong
Xingjian Shi
Yi Zhu
Chun Yuan
Mu Li
21
7
0
16 May 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout
Takuya Hiraoka
Takashi Onishi
Yoshimasa Tsuruoka
OffRL
21
0
0
26 Jan 2023
Contrastive Error Attribution for Finetuned Language Models
Contrastive Error Attribution for Finetuned Language Models
Faisal Ladhak
Esin Durmus
Tatsunori Hashimoto
HILM
30
9
0
21 Dec 2022
Adapting and Evaluating Influence-Estimation Methods for
  Gradient-Boosted Decision Trees
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees
Jonathan Brophy
Zayd Hammoudeh
Daniel Lowd
TDI
24
22
0
30 Apr 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence
  Estimation
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation
Zayd Hammoudeh
Daniel Lowd
TDI
21
28
0
25 Jan 2022
Data Cleansing for Deep Neural Networks with Storage-efficient
  Approximation of Influence Functions
Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions
Kenji Suzuki
Yoshiyuki Kobayashi
T. Narihira
TDI
23
5
0
22 Mar 2021
Influence Estimation for Generative Adversarial Networks
Influence Estimation for Generative Adversarial Networks
Naoyuki Terashita
Hiroki Ohashi
Yuichi Nonaka
T. Kanemaru
TDI
32
12
0
20 Jan 2021
Model Generalization on COVID-19 Fake News Detection
Model Generalization on COVID-19 Fake News Detection
Yejin Bang
Etsuko Ishii
Samuel Cahyawijaya
Ziwei Ji
Pascale Fung
34
36
0
11 Jan 2021
Efficient Estimation of Influence of a Training Instance
Efficient Estimation of Influence of a Training Instance
Sosuke Kobayashi
Sho Yokoi
Jun Suzuki
Kentaro Inui
TDI
32
15
0
08 Dec 2020
Complaint-driven Training Data Debugging for Query 2.0
Complaint-driven Training Data Debugging for Query 2.0
Weiyuan Wu
Lampros Flokas
Eugene Wu
Jiannan Wang
32
43
0
12 Apr 2020
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