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A Survey on Knowledge Editing of Neural Networks
v1v2 (latest)

A Survey on Knowledge Editing of Neural Networks

30 October 2023
Vittorio Mazzia
Alessandro Pedrani
Andrea Caciolai
Kay Rottmann
Davide Bernardi
    KELM
ArXiv (abs)PDFHTML

Papers citing "A Survey on Knowledge Editing of Neural Networks"

50 / 52 papers shown
Title
Composable Interventions for Language Models
Composable Interventions for Language Models
Arinbjorn Kolbeinsson
Kyle O'Brien
Tianjin Huang
Shanghua Gao
Shiwei Liu
...
Anurag J. Vaidya
Faisal Mahmood
Marinka Zitnik
Tianlong Chen
Thomas Hartvigsen
KELMMU
163
4
0
09 Jul 2024
From Matching to Generation: A Survey on Generative Information Retrieval
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li
Jiajie Jin
Yujia Zhou
Yuyao Zhang
Peitian Zhang
Yutao Zhu
Zhicheng Dou
3DV
172
58
0
23 Apr 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
235
397
0
21 Mar 2024
Backpack Language Models
Backpack Language Models
John Hewitt
John Thickstun
Christopher D. Manning
Percy Liang
KELM
79
16
0
26 May 2023
Editable Graph Neural Network for Node Classifications
Editable Graph Neural Network for Node Classifications
Zirui Liu
Zhimeng Jiang
Shaochen Zhong
Kaixiong Zhou
Li Li
Rui Chen
Soo-Hyun Choi
Helen Zhou
66
6
0
24 May 2023
Editing Large Language Models: Problems, Methods, and Opportunities
Editing Large Language Models: Problems, Methods, and Opportunities
Yunzhi Yao
Peng Wang
Bo Tian
Shuyang Cheng
Zhoubo Li
Shumin Deng
Huajun Chen
Ningyu Zhang
KELM
101
309
0
22 May 2023
Repairing Deep Neural Networks Based on Behavior Imitation
Repairing Deep Neural Networks Based on Behavior Imitation
Zhen Liang
Taoran Wu
Changyuan Zhao
Wanwei Liu
Bai Xue
Wenjing Yang
Jing Wang
AAML
82
5
0
05 May 2023
Transformer-Patcher: One Mistake worth One Neuron
Transformer-Patcher: One Mistake worth One Neuron
Zeyu Huang
Songlin Yang
Xiaofeng Zhang
Jie Zhou
Wenge Rong
Zhang Xiong
KELM
91
179
0
24 Jan 2023
Editing Models with Task Arithmetic
Editing Models with Task Arithmetic
Gabriel Ilharco
Marco Tulio Ribeiro
Mitchell Wortsman
Suchin Gururangan
Ludwig Schmidt
Hannaneh Hajishirzi
Ali Farhadi
KELMMoMeMU
195
518
0
08 Dec 2022
On the Effectiveness of Parameter-Efficient Fine-Tuning
On the Effectiveness of Parameter-Efficient Fine-Tuning
Z. Fu
Haoran Yang
Anthony Man-Cho So
Wai Lam
Lidong Bing
Nigel Collier
68
160
0
28 Nov 2022
Mass-Editing Memory in a Transformer
Mass-Editing Memory in a Transformer
Kevin Meng
Arnab Sen Sharma
A. Andonian
Yonatan Belinkov
David Bau
KELMVLM
133
599
0
13 Oct 2022
PaLI: A Jointly-Scaled Multilingual Language-Image Model
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Xi Chen
Tianlin Li
Soravit Changpinyo
A. Piergiovanni
Piotr Padlewski
...
Andreas Steiner
A. Angelova
Xiaohua Zhai
N. Houlsby
Radu Soricut
MLLMVLM
116
732
0
14 Sep 2022
Analyzing Transformers in Embedding Space
Analyzing Transformers in Embedding Space
Guy Dar
Mor Geva
Ankit Gupta
Jonathan Berant
63
93
0
06 Sep 2022
Memory-Based Model Editing at Scale
Memory-Based Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Christopher D. Manning
Chelsea Finn
KELM
105
361
0
13 Jun 2022
Transformer Memory as a Differentiable Search Index
Transformer Memory as a Differentiable Search Index
Yi Tay
Vinh Q. Tran
Mostafa Dehghani
Jianmo Ni
Dara Bahri
...
Zhe Zhao
Jai Gupta
Tal Schuster
William W. Cohen
Donald Metzler
95
285
0
14 Feb 2022
Locating and Editing Factual Associations in GPT
Locating and Editing Factual Associations in GPT
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
KELM
251
1,381
0
10 Feb 2022
Fast Model Editing at Scale
Fast Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Chelsea Finn
Christopher D. Manning
KELM
335
378
0
21 Oct 2021
Shaking the foundations: delusions in sequence models for interaction
  and control
Shaking the foundations: delusions in sequence models for interaction and control
Pedro A. Ortega
M. Kunesch
Grégoire Delétang
Tim Genewein
Jordi Grau-Moya
...
Yutian Chen
Scott E. Reed
Marcus Hutter
Nando de Freitas
Shane Legg
80
64
0
20 Oct 2021
Sound and Complete Neural Network Repair with Minimality and Locality
  Guarantees
Sound and Complete Neural Network Repair with Minimality and Locality Guarantees
Feisi Fu
Wenchao Li
KELMAAML
72
26
0
14 Oct 2021
A Survey on Automated Fact-Checking
A Survey on Automated Fact-Checking
Zhijiang Guo
Michael Schlichtkrull
Andreas Vlachos
92
495
0
26 Aug 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
490
10,496
0
17 Jun 2021
Knowledge Neurons in Pretrained Transformers
Knowledge Neurons in Pretrained Transformers
Damai Dai
Li Dong
Y. Hao
Zhifang Sui
Baobao Chang
Furu Wei
KELMMU
97
463
0
18 Apr 2021
Editing Factual Knowledge in Language Models
Editing Factual Knowledge in Language Models
Nicola De Cao
Wilker Aziz
Ivan Titov
KELM
125
512
0
16 Apr 2021
Measuring and Improving Consistency in Pretrained Language Models
Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar
Nora Kassner
Shauli Ravfogel
Abhilasha Ravichander
Eduard H. Hovy
Hinrich Schütze
Yoav Goldberg
HILM
329
368
0
01 Feb 2021
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
92
150
0
03 Sep 2020
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Adam Roberts
Colin Raffel
Noam M. Shazeer
KELM
128
893
0
10 Feb 2020
Deep Learning vs. Traditional Computer Vision
Deep Learning vs. Traditional Computer Vision
Niall O' Mahony
S. Campbell
A. Carvalho
S. Harapanahalli
G. Velasco-Hernández
L. Krpalkova
Daniel Riordan
Joseph Walsh
VLM
60
907
0
30 Oct 2019
The Bottom-up Evolution of Representations in the Transformer: A Study
  with Machine Translation and Language Modeling Objectives
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita
Rico Sennrich
Ivan Titov
289
187
0
03 Sep 2019
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
OODD
223
1,482
0
16 Jul 2019
MNIST-C: A Robustness Benchmark for Computer Vision
MNIST-C: A Robustness Benchmark for Computer Vision
Norman Mu
Justin Gilmer
57
213
0
05 Jun 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
783
8,566
0
03 Jan 2019
Analysis Methods in Neural Language Processing: A Survey
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
James R. Glass
95
558
0
21 Dec 2018
Generating Informative and Diverse Conversational Responses via
  Adversarial Information Maximization
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
Yizhe Zhang
Michel Galley
Jianfeng Gao
Zhe Gan
Xiujun Li
Chris Brockett
W. Dolan
78
301
0
16 Sep 2018
Meta-Learning for Low-Resource Neural Machine Translation
Meta-Learning for Low-Resource Neural Machine Translation
Jiatao Gu
Yong Wang
Yun Chen
Kyunghyun Cho
Victor O.K. Li
77
343
0
25 Aug 2018
Conditional Neural Processes
Conditional Neural Processes
M. Garnelo
Dan Rosenbaum
Chris J. Maddison
Tiago Ramalho
D. Saxton
Murray Shanahan
Yee Whye Teh
Danilo Jimenez Rezende
S. M. Ali Eslami
UQCVBDL
88
705
0
04 Jul 2018
FEVER: a large-scale dataset for Fact Extraction and VERification
FEVER: a large-scale dataset for Fact Extraction and VERification
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
Arpit Mittal
HILM
159
1,666
0
14 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren
Eleni Triantafillou
S. S. Ravi
Jake C. Snell
Kevin Swersky
J. Tenenbaum
Hugo Larochelle
R. Zemel
SSL
72
1,284
0
02 Mar 2018
Evolved Policy Gradients
Evolved Policy Gradients
Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
98
227
0
13 Feb 2018
FiLM: Visual Reasoning with a General Conditioning Layer
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez
Florian Strub
H. D. Vries
Vincent Dumoulin
Aaron Courville
FAttAIMatOffRLAI4CE
363
2,233
0
22 Sep 2017
Lifelong Learning with Dynamically Expandable Networks
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
CLL
125
1,229
0
04 Aug 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
Multimodal Machine Learning: A Survey and Taxonomy
Multimodal Machine Learning: A Survey and Taxonomy
T. Baltrušaitis
Chaitanya Ahuja
Louis-Philippe Morency
111
2,937
0
26 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
829
11,943
0
09 Mar 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
318
1,874
0
03 Feb 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
374
7,561
0
02 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
813
3,293
0
24 Nov 2016
Pointer Sentinel Mixture Models
Pointer Sentinel Mixture Models
Stephen Merity
Caiming Xiong
James Bradbury
R. Socher
RALM
338
2,898
0
26 Sep 2016
RGBD Datasets: Past, Present and Future
RGBD Datasets: Past, Present and Future
Michael Firman
68
150
0
04 Apr 2016
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
247
8,426
0
28 Nov 2014
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
105
2,331
0
20 Oct 2014
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