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Understanding Black-box Predictions via Influence Functions

Understanding Black-box Predictions via Influence Functions

14 March 2017
Pang Wei Koh
Percy Liang
    TDI
ArXivPDFHTML

Papers citing "Understanding Black-box Predictions via Influence Functions"

50 / 620 papers shown
Title
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of
  SGD via Training Trajectories and via Terminal States
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
Ziqiao Wang
Yongyi Mao
35
10
0
19 Nov 2022
Explainability Via Causal Self-Talk
Explainability Via Causal Self-Talk
Nicholas A. Roy
Junkyung Kim
Neil C. Rabinowitz
CML
29
7
0
17 Nov 2022
Data-Centric Debugging: mitigating model failures via targeted data
  collection
Data-Centric Debugging: mitigating model failures via targeted data collection
Sahil Singla
Atoosa Malemir Chegini
Mazda Moayeri
Soheil Feiz
27
4
0
17 Nov 2022
Learning to Counterfactually Explain Recommendations
Learning to Counterfactually Explain Recommendations
Yuanshun Yao
Chong Wang
Hang Li
CML
OffRL
22
1
0
17 Nov 2022
CS-Shapley: Class-wise Shapley Values for Data Valuation in
  Classification
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
S. Schoch
Haifeng Xu
Yangfeng Ji
TDI
23
24
0
13 Nov 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging
  of NLP Models
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
Dong-Ho Lee
Akshen Kadakia
Brihi Joshi
Aaron Chan
Ziyi Liu
...
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
LRM
40
9
0
30 Oct 2022
Influence Functions for Sequence Tagging Models
Influence Functions for Sequence Tagging Models
Sarthak Jain
Varun Manjunatha
Byron C. Wallace
A. Nenkova
TDI
37
8
0
25 Oct 2022
This joke is [MASK]: Recognizing Humor and Offense with Prompting
This joke is [MASK]: Recognizing Humor and Offense with Prompting
Junze Li
Mengjie Zhao
Yubo Xie
Antonis Maronikolakis
Pearl Pu
Hinrich Schütze
AAML
39
1
0
25 Oct 2022
Recommendation with User Active Disclosing Willingness
Recommendation with User Active Disclosing Willingness
Lei Wang
Xu Chen
Quanyu Dai
Zhenhua Dong
19
2
0
25 Oct 2022
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
Jiacheng Ye
Jiahui Gao
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
SyDa
VLM
81
72
0
22 Oct 2022
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
Kun Zhou
Yeyun Gong
Xiao Liu
Wayne Xin Zhao
Yelong Shen
...
Jing Lu
Rangan Majumder
Ji-Rong Wen
Nan Duan
Weizhu Chen
44
33
0
21 Oct 2022
Finding Dataset Shortcuts with Grammar Induction
Finding Dataset Shortcuts with Grammar Induction
Dan Friedman
Alexander Wettig
Danqi Chen
32
15
0
20 Oct 2022
Explanations Based on Item Response Theory (eXirt): A Model-Specific
  Method to Explain Tree-Ensemble Model in Trust Perspective
Explanations Based on Item Response Theory (eXirt): A Model-Specific Method to Explain Tree-Ensemble Model in Trust Perspective
José de Sousa Ribeiro Filho
Lucas F. F. Cardoso
R. Silva
Vitor Cirilo Araujo Santos
Nikolas Carneiro
Ronnie Cley de Oliveira Alves
18
4
0
18 Oct 2022
Mitigating Covertly Unsafe Text within Natural Language Systems
Mitigating Covertly Unsafe Text within Natural Language Systems
Alex Mei
Anisha Kabir
Sharon Levy
Melanie Subbiah
Emily Allaway
J. Judge
D. Patton
Bruce Bimber
Kathleen McKeown
William Yang Wang
53
13
0
17 Oct 2022
Private Data Valuation and Fair Payment in Data Marketplaces
Private Data Valuation and Fair Payment in Data Marketplaces
Zhihua Tian
Jian-wei Liu
Jia-Nan Li
Xinle Cao
R. Jia
Jun Kong
Mengdi Liu
Kui Ren
TDI
23
12
0
17 Oct 2022
Verifiable and Provably Secure Machine Unlearning
Verifiable and Provably Secure Machine Unlearning
Thorsten Eisenhofer
Doreen Riepel
Varun Chandrasekaran
Esha Ghosh
O. Ohrimenko
Nicolas Papernot
AAML
MU
43
26
0
17 Oct 2022
A General Framework for Auditing Differentially Private Machine Learning
A General Framework for Auditing Differentially Private Machine Learning
Fred Lu
Joseph Munoz
Maya Fuchs
Tyler LeBlond
Elliott Zaresky-Williams
Edward Raff
Francis Ferraro
Brian Testa
FedML
22
35
0
16 Oct 2022
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base
  Population
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population
Tianqing Fang
Quyet V. Do
Hongming Zhang
Yangqiu Song
Ginny Wong
Simon See
LRM
30
11
0
14 Oct 2022
Explanations from Large Language Models Make Small Reasoners Better
Explanations from Large Language Models Make Small Reasoners Better
Shiyang Li
Jianshu Chen
Yelong Shen
Zhiyu Zoey Chen
Xinlu Zhang
...
Jingu Qian
Baolin Peng
Yi Mao
Wenhu Chen
Xifeng Yan
ReLM
LRM
43
130
0
13 Oct 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
Yi Zeng
Minzhou Pan
Himanshu Jahagirdar
Ming Jin
Lingjuan Lyu
R. Jia
AAML
39
21
0
12 Oct 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional
  Networks
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks
Jian Kang
Qinghai Zhou
Hanghang Tong
UQCV
46
21
0
12 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support
  Human-AI Interaction
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
Sunnie S. Y. Kim
E. A. Watkins
Olga Russakovsky
Ruth C. Fong
Andrés Monroy-Hernández
43
109
0
02 Oct 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset
  Copyright Protection
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Yiming Li
Yang Bai
Yong Jiang
Yong-Liang Yang
Shutao Xia
Bo Li
AAML
56
98
0
27 Sep 2022
Ablation Path Saliency
Ablation Path Saliency
Justus Sagemüller
Olivier Verdier
FAtt
AAML
21
0
0
26 Sep 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training
  Dynamics
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
Shoaib Ahmed Siddiqui
Nitarshan Rajkumar
Tegan Maharaj
David M. Krueger
Sara Hooker
57
27
0
20 Sep 2022
Lazy vs hasty: linearization in deep networks impacts learning schedule
  based on example difficulty
Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty
Thomas George
Guillaume Lajoie
A. Baratin
34
5
0
19 Sep 2022
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet
  Recognition through the Lens of Robustness
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness
Ya-Hsin Cheng
Lihao Liu
Shujun Wang
Yueming Jin
Carola-Bibiane Schönlieb
Angelica I. Aviles-Rivero
26
7
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18 Sep 2022
Exploring the Whole Rashomon Set of Sparse Decision Trees
Exploring the Whole Rashomon Set of Sparse Decision Trees
Rui Xin
Chudi Zhong
Zhi Chen
Takuya Takagi
Margo Seltzer
Cynthia Rudin
43
54
0
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Model interpretation using improved local regression with variable
  importance
Model interpretation using improved local regression with variable importance
Gilson Y. Shimizu
Rafael Izbicki
A. Carvalho
FAtt
19
3
0
12 Sep 2022
Responsibility: An Example-based Explainable AI approach via Training
  Process Inspection
Responsibility: An Example-based Explainable AI approach via Training Process Inspection
Faraz Khadivpour
Arghasree Banerjee
Matthew J. Guzdial
XAI
19
2
0
07 Sep 2022
Cerberus: Exploring Federated Prediction of Security Events
Cerberus: Exploring Federated Prediction of Security Events
Mohammad Naseri
Yufei Han
Enrico Mariconti
Yun Shen
Gianluca Stringhini
Emiliano De Cristofaro
FedML
50
14
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TFN: An Interpretable Neural Network with Time-Frequency Transform
  Embedded for Intelligent Fault Diagnosis
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
Qian Chen
Xingjian Dong
Guowei Tu
Dong Wang
Baoxuan Zhao
Zhike Peng
AI4CE
21
67
0
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Latent Preserving Generative Adversarial Network for Imbalance
  classification
Latent Preserving Generative Adversarial Network for Imbalance classification
T. Dam
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30
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SNAP: Efficient Extraction of Private Properties with Poisoning
SNAP: Efficient Extraction of Private Properties with Poisoning
Harsh Chaudhari
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Florian Tramèr
Jonathan R. Ullman
MIACV
39
30
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Training-Time Attacks against k-Nearest Neighbors
Training-Time Attacks against k-Nearest Neighbors
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Gaussian Process Surrogate Models for Neural Networks
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Differentially Private Counterfactuals via Functional Mechanism
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32
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Leveraging Explanations in Interactive Machine Learning: An Overview
Leveraging Explanations in Interactive Machine Learning: An Overview
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Elizabeth M. Daly
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31
62
0
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Adaptive occlusion sensitivity analysis for visually explaining video
  recognition networks
Adaptive occlusion sensitivity analysis for visually explaining video recognition networks
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Naoya Sogi
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24
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Generative Extraction of Audio Classifiers for Speaker Identification
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Nicolas Papernot
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15
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Gradient-based Bi-level Optimization for Deep Learning: A Survey
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98
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Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced
  Data
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Yiwen Shi
Jing Wang
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Yi Zhang
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Hualou Liang
39
7
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Robustar: Interactive Toolbox Supporting Precise Data Annotation for
  Robust Vision Learning
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning
Chonghan Chen
Haohan Wang
Leyang Hu
Yuhao Zhang
Shuguang Lyu
Jingcheng Wu
Xinnuo Li
Linjing Sun
Eric Xing
VLM
30
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Task-aware Similarity Learning for Event-triggered Time Series
Task-aware Similarity Learning for Event-triggered Time Series
Shaoyu Dou
Kai Yang
Yang Jiao
Chengbo Qiu
Kui Ren
AI4TS
34
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A Query-Optimal Algorithm for Finding Counterfactuals
A Query-Optimal Algorithm for Finding Counterfactuals
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Caleb M. Koch
Jane Lange
Li-Yang Tan
27
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PrUE: Distilling Knowledge from Sparse Teacher Networks
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Xiaojun Chen
Mengzhen Kou
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On Leave-One-Out Conditional Mutual Information For Generalization
On Leave-One-Out Conditional Mutual Information For Generalization
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Alessandro Achille
Aditya Golatkar
Suhas Diggavi
Stefano Soatto
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41
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Understanding Instance-Level Impact of Fairness Constraints
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Xinze Wang
Yang Liu
TDI
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28
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Distilling Model Failures as Directions in Latent Space
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Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed
  Depression Diagnoses
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