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PrIU: A Provenance-Based Approach for Incrementally Updating Regression
  Models

PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models

26 February 2020
Yinjun Wu
V. Tannen
S. Davidson
ArXiv (abs)PDFHTML

Papers citing "PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models"

15 / 15 papers shown
Title
Towards Trustworthy Machine Learning in Production: An Overview of the
  Robustness in MLOps Approach
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach
Firas Bayram
Bestoun S. Ahmed
OOD
55
2
0
28 Oct 2024
"Forgetting" in Machine Learning and Beyond: A Survey
"Forgetting" in Machine Learning and Beyond: A Survey
Alyssa Shuang Sha
Bernardo Pereira Nunes
Armin Haller
MUKELM
112
1
0
31 May 2024
Partially Blinded Unlearning: Class Unlearning for Deep Networks a
  Bayesian Perspective
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective
Subhodip Panda
S. Sourav
Prathosh A.P.
MU
89
2
0
24 Mar 2024
eCIL-MU: Embedding based Class Incremental Learning and Machine
  Unlearning
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning
Zhiwei Zuo
Zhuo Tang
Bin Wang
KenLi Li
Anwitaman Datta
CLLMU
46
3
0
04 Jan 2024
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
Piyush Tiwary
Atri Guha
Subhodip Panda
Prathosh A.P.
MUGAN
137
9
0
25 Sep 2023
Efficiently Forgetting What You Have Learned in Graph Representation
  Learning via Projection
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection
Weilin Cong
Mehrdad Mahdavi
MU
50
18
0
17 Feb 2023
Zero-Shot Machine Unlearning
Zero-Shot Machine Unlearning
Vikram S Chundawat
Ayush K Tarun
Murari Mandal
Mohan S. Kankanhalli
MU
102
128
0
14 Jan 2022
Interpretable Data-Based Explanations for Fairness Debugging
Interpretable Data-Based Explanations for Fairness Debugging
Romila Pradhan
Jiongli Zhu
Boris Glavic
Babak Salimi
87
57
0
17 Dec 2021
ModelPred: A Framework for Predicting Trained Model from Training Data
ModelPred: A Framework for Predicting Trained Model from Training Data
Yingyan Zeng
Jiachen T. Wang
Si-An Chen
H. Just
Ran Jin
R. Jia
TDIMU
63
4
0
24 Nov 2021
Federated Unlearning via Class-Discriminative Pruning
Federated Unlearning via Class-Discriminative Pruning
Junxiao Wang
Song Guo
Xin Xie
Heng Qi
MU
84
145
0
22 Oct 2021
Finding Materialized Models for Model Reuse
Finding Materialized Models for Model Reuse
Minjun Zhao
Lu Chen
Keyu Yang
Yuntao Du
Yunjun Gao
73
1
0
13 Oct 2021
ProvLet: A Provenance Management Service for Long Tail Microscopy Data
ProvLet: A Provenance Management Service for Long Tail Microscopy Data
Hessam Moeini
Todd Nicholson
Klara Nahrstedt
Gianni Pezzarossi
8
0
0
22 Sep 2021
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label
  Uncertainties (Technical Report)
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)
Yinjun Wu
James Weimer
S. Davidson
69
4
0
19 Jul 2021
Certifiable Machine Unlearning for Linear Models
Certifiable Machine Unlearning for Linear Models
Ananth Mahadevan
M. Mathioudakis
MU
55
45
0
29 Jun 2021
DeltaGrad: Rapid retraining of machine learning models
DeltaGrad: Rapid retraining of machine learning models
Yinjun Wu
Yan Sun
S. Davidson
MU
72
202
0
26 Jun 2020
1