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Invariant Risk Minimization

Invariant Risk Minimization

5 July 2019
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
    OOD
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Papers citing "Invariant Risk Minimization"

50 / 1,404 papers shown
Title
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
Moon Ye-Bin
Nam Hyeon-Woo
Wonseok Choi
Nayeong Kim
Suha Kwak
Tae-Hyun Oh
DiffM
23
3
0
02 Aug 2023
An Introduction to Bi-level Optimization: Foundations and Applications
  in Signal Processing and Machine Learning
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
Yihua Zhang
Prashant Khanduri
Ioannis C. Tsaknakis
Yuguang Yao
Min-Fong Hong
Sijia Liu
AI4CE
44
25
0
01 Aug 2023
AI for Anticipatory Action: Moving Beyond Climate Forecasting
AI for Anticipatory Action: Moving Beyond Climate Forecasting
Benjamin Q. Huynh
M. Kiang
AI4CE
30
0
0
28 Jul 2023
Panoptic Scene Graph Generation with Semantics-Prototype Learning
Panoptic Scene Graph Generation with Semantics-Prototype Learning
Li Li
Wei Ji
Yiming Wu
Meng Li
Youxuan Qin
Lina Wei
Roger Zimmermann
34
35
0
28 Jul 2023
Topology-aware Robust Optimization for Out-of-distribution
  Generalization
Topology-aware Robust Optimization for Out-of-distribution Generalization
Fengchun Qiao
Xi Peng
33
9
0
26 Jul 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph
  Contrastive Learning
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning
Yun Zhu
Haizhou Shi
Zhenshuo Zhang
Siliang Tang
26
8
0
24 Jul 2023
Phase Matching for Out-of-Distribution Generalization
Phase Matching for Out-of-Distribution Generalization
Chengming Hu
Ye Du
Rui Wang
Hao Chen
OOD
28
0
0
24 Jul 2023
Cross Contrasting Feature Perturbation for Domain Generalization
Cross Contrasting Feature Perturbation for Domain Generalization
Chenming Li
Daoan Zhang
Wen-Fong Huang
Jiang Zhang
OOD
29
17
0
24 Jul 2023
Improving Out-of-Distribution Robustness of Classifiers via Generative
  Interpolation
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation
Haoyue Bai
Ceyuan Yang
Yinghao Xu
Shueng-Han Gary Chan
Bolei Zhou
OODD
29
3
0
23 Jul 2023
Out-of-Distribution Optimality of Invariant Risk Minimization
Out-of-Distribution Optimality of Invariant Risk Minimization
S. Toyota
Kenji Fukumizu
OOD
15
1
0
22 Jul 2023
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model
Rongqing Li
Jiaqi Yu
Changsheng Li
Wenhan Luo
Ye Yuan
Guoren Wang
MLAU
28
0
0
20 Jul 2023
Flatness-Aware Minimization for Domain Generalization
Flatness-Aware Minimization for Domain Generalization
Xingxuan Zhang
Renzhe Xu
Han Yu
Yancheng Dong
Pengfei Tian
Peng Cu
32
20
0
20 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems
A Holistic Assessment of the Reliability of Machine Learning Systems
Anthony Corso
David Karamadian
Romeo Valentin
Mary Cooper
Mykel J. Kochenderfer
30
6
0
20 Jul 2023
General Debiasing for Multimodal Sentiment Analysis
General Debiasing for Multimodal Sentiment Analysis
Teng Sun
Juntong Ni
Wenjie Wang
Liqiang Jing
Yin-wei Wei
Liqiang Nie
35
14
0
20 Jul 2023
Contextual Reliability: When Different Features Matter in Different
  Contexts
Contextual Reliability: When Different Features Matter in Different Contexts
Gaurav R. Ghosal
Amrith Rajagopal Setlur
Daniel S. Brown
Anca Dragan
Aditi Raghunathan
33
1
0
19 Jul 2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to
  Harness Spurious Features
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
Cian Eastwood
Shashank Singh
Andrei Liviu Nicolicioiu
Marin Vlastelica
Julius von Kügelgen
Bernhard Schölkopf
OOD
26
17
0
19 Jul 2023
Causality-oriented robustness: exploiting general noise interventions
Causality-oriented robustness: exploiting general noise interventions
Xinwei Shen
Peter Buhlmann
Armeen Taeb
OOD
67
8
0
18 Jul 2023
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation
Run Luo
Wenjing Wang
Wenhan Yang
Jiaying Liu
VLM
54
11
0
17 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
36
2
0
17 Jul 2023
Learning for Counterfactual Fairness from Observational Data
Learning for Counterfactual Fairness from Observational Data
Jing Ma
Ruocheng Guo
Aidong Zhang
Jundong Li
FaML
18
11
0
17 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma
Ryuichiro Hataya
Kotaro Yoshida
Ioannis Mitliagkas
OODD
95
1
0
17 Jul 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious
  Correlation
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
27
18
0
15 Jul 2023
DISPEL: Domain Generalization via Domain-Specific Liberating
DISPEL: Domain Generalization via Domain-Specific Liberating
Chia-Yuan Chang
Yu-Neng Chuang
Guanchu Wang
Mengnan Du
Zou Na
26
6
0
14 Jul 2023
Drug Discovery under Covariate Shift with Domain-Informed Prior
  Distributions over Functions
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
Leo Klarner
Tim G. J. Rudner
M. Reutlinger
Torsten Schindler
Garrett M. Morris
Charlotte M. Deane
Yee Whye Teh
OOD
BDL
15
9
0
14 Jul 2023
A Causal Framework to Unify Common Domain Generalization Approaches
A Causal Framework to Unify Common Domain Generalization Approaches
N. Zhang
Kaican Li
Han Gao
Weiyan Xie
Zhi Lin
ZeLin Li
Luning Wang
Yongxiang Huang
FedML
OOD
AI4CE
26
2
0
13 Jul 2023
On the ability of CNNs to extract color invariant intensity based
  features for image classification
On the ability of CNNs to extract color invariant intensity based features for image classification
Pradyumna Elavarthi
James Lee
Anca L. Ralescu
16
2
0
13 Jul 2023
Identifiability Guarantees for Causal Disentanglement from Soft
  Interventions
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
Jiaqi Zhang
C. Squires
Kristjan Greenewald
Akash Srivastava
Karthikeyan Shanmugam
Caroline Uhler
CML
51
54
0
12 Jul 2023
CILF:Causality Inspired Learning Framework for Out-of-Distribution
  Vehicle Trajectory Prediction
CILF:Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction
Shen Li
Qifan Xue
Yezhuo Zhang
Xuanpeng Li
OOD
CML
OODD
24
2
0
11 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization
Benchmarking Algorithms for Federated Domain Generalization
Ruqi Bai
S. Bagchi
David I. Inouye
FedML
40
12
0
11 Jul 2023
False Sense of Security: Leveraging XAI to Analyze the Reasoning and
  True Performance of Context-less DGA Classifiers
False Sense of Security: Leveraging XAI to Analyze the Reasoning and True Performance of Context-less DGA Classifiers
Arthur Drichel
Ulrike Meyer
21
7
0
10 Jul 2023
Text Descriptions are Compressive and Invariant Representations for
  Visual Learning
Text Descriptions are Compressive and Invariant Representations for Visual Learning
Zhili Feng
Anna Bair
J. Zico Kolter
VLM
24
6
0
10 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Sameer Ambekar
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
BDL
OOD
30
1
0
08 Jul 2023
Conditionally Invariant Representation Learning for Disentangling
  Cellular Heterogeneity
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity
H. Aliee
Ferdinand Kapl
Soroor Hediyeh-zadeh
Fabian J. Theis
CML
26
6
0
02 Jul 2023
Individual and Structural Graph Information Bottlenecks for
  Out-of-Distribution Generalization
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization
Ling Yang
Jiayi Zheng
Heyuan Wang
Zhongyi Liu
Zhilin Huang
Shenda Hong
Wentao Zhang
Bin Cui
22
13
0
28 Jun 2023
Leveraging Task Structures for Improved Identifiability in Neural
  Network Representations
Leveraging Task Structures for Improved Identifiability in Neural Network Representations
Wenlin Chen
Julien Horwood
Juyeon Heo
José Miguel Hernández-Lobato
CML
30
1
0
26 Jun 2023
Mining Stable Preferences: Adaptive Modality Decorrelation for
  Multimedia Recommendation
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation
Jinghao Zhang
Qiang Liu
Shu Wu
Liang Wang
21
8
0
25 Jun 2023
Semantic Segmentation of Porosity in 4D Spatio-Temporal X-ray μCT of
  Titanium Coated Ni wires using Deep Learning
Semantic Segmentation of Porosity in 4D Spatio-Temporal X-ray μCT of Titanium Coated Ni wires using Deep Learning
Pradyumna Elavarthi
Arun J. Bhattacharjee
A. P. Y. Puente
Anca L. Ralescu
27
0
0
24 Jun 2023
Identifying and Disentangling Spurious Features in Pretrained Image
  Representations
Identifying and Disentangling Spurious Features in Pretrained Image Representations
R. Darbinyan
Hrayr Harutyunyan
Aram H. Markosyan
Hrant Khachatrian
34
2
0
22 Jun 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep
  Learning under Distribution Shift
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift
Florian Seligmann
P. Becker
Michael Volpp
Gerhard Neumann
UQCV
24
14
0
21 Jun 2023
Challenges and Opportunities in Improving Worst-Group Generalization in Presence of Spurious Features
Challenges and Opportunities in Improving Worst-Group Generalization in Presence of Spurious Features
S. Joshi
Yu Yang
Yihao Xue
Wenhan Yang
Baharan Mirzasoleiman
44
13
0
21 Jun 2023
Towards Characterizing Domain Counterfactuals For Invertible Latent
  Causal Models
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models
Zeyu Zhou
Ruqi Bai
Sean Kulinski
Murat Kocaoglu
David I. Inouye
CML
24
1
0
20 Jun 2023
Confidence-Based Model Selection: When to Take Shortcuts for
  Subpopulation Shifts
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts
Annie S. Chen
Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
OOD
22
5
0
19 Jun 2023
Causal Effect Regularization: Automated Detection and Removal of
  Spurious Attributes
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes
Abhinav Kumar
Amit Deshpande
Ajay Sharma
CML
21
1
0
19 Jun 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Alexander Robey
Fabian Latorre
George J. Pappas
Hamed Hassani
V. Cevher
AAML
66
12
0
19 Jun 2023
Shape Guided Gradient Voting for Domain Generalization
Shape Guided Gradient Voting for Domain Generalization
Jiaqi Xu
Yuwang Wang
Xuejin Chen
21
0
0
19 Jun 2023
Out of Distribution Generalization via Interventional Style Transfer in
  Single-Cell Microscopy
Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy
Wolfgang M. Pernice
Michael Doron
A. Quach
Aditya Pratapa
Sultan Kenjeyev
N. Veaux
Michio Hirano
Juan C. Caicedo
OOD
24
6
0
15 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust
  Optimization
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
32
6
0
15 Jun 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both
  Out-of-Distribution Generalization and Detection
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
Haoyue Bai
Gregory H. Canal
Xuefeng Du
Jeongyeol Kwon
Robert D. Nowak
Yixuan Li
OODD
38
45
0
15 Jun 2023
Modularity Trumps Invariance for Compositional Robustness
Modularity Trumps Invariance for Compositional Robustness
I. Mason
Anirban Sarkar
Tomotake Sasaki
Xavier Boix
OOD
26
1
0
15 Jun 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
Tom Dupuis
Jaonary Rabarisoa
Q. C. Pham
David Filliat
42
0
0
14 Jun 2023
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