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Improving Intrusion Detection with Domain-Invariant Representation
  Learning in Latent Space

Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space

28 December 2023
Padmaksha Roy
Tyler Cody
Himanshu Singhal
Kevin Choi
Ming Jin
    OOD
ArXivPDFHTML

Papers citing "Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space"

13 / 13 papers shown
Title
Generalizing to Unseen Domains: A Survey on Domain Generalization
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
196
1,218
0
02 Mar 2021
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
76
1,137
0
02 Jul 2020
Feature Alignment and Restoration for Domain Generalization and
  Adaptation
Feature Alignment and Restoration for Domain Generalization and Adaptation
Xin Jin
Cuiling Lan
Wenjun Zeng
Zhibo Chen
OOD
69
40
0
22 Jun 2020
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
87
218
0
30 Oct 2019
Learning to Optimize Domain Specific Normalization for Domain
  Generalization
Learning to Optimize Domain Specific Normalization for Domain Generalization
Seonguk Seo
Yumin Suh
Dongwan Kim
Geeho Kim
Jongwoo Han
Bohyung Han
AI4CE
83
245
0
09 Jul 2019
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
271
4,047
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
167
1,239
0
10 Nov 2017
Learning to Generalize: Meta-Learning for Domain Generalization
Learning to Generalize: Meta-Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
91
1,422
0
10 Oct 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
806
11,866
0
09 Mar 2017
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
97
3,144
0
06 Jul 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
349
7,316
0
13 Jun 2016
Deep Metric Learning via Lifted Structured Feature Embedding
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
FedML
SSL
DML
94
1,641
0
19 Nov 2015
Domain Generalization via Invariant Feature Representation
Domain Generalization via Invariant Feature Representation
Krikamol Muandet
David Balduzzi
Bernhard Schölkopf
OOD
124
1,179
0
10 Jan 2013
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