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Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(2022)10.1145/3534678.3539438Source: DataRank Database

Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation is a research paper published in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022). On theSindex it has a DataRank of 0. It has been cited 7 times.

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Open Access7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 0.84)OA: hybridTopics (22)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Zeyi Huang ORCID,Xindi Wu,Eric P. Xing ORCID,Haohan Wang ORCID

Live enrichment

PubMed:26207759 OpenAlex:https://openalex.org/W4282027013

National Science Foundation

Grant: IIS1617583,IIS-2150012,IIS-2204808

National Institutes of Health

Grant: R01GM114311,P30DA035778

National Institutes of Health

Grant: 5P30DA035778-03

NIDA Center of Excellence OF Computational Drug Abuse Research (CDAR)

National Institutes of Health

Grant: 1R01GM114311-01A1

Toward PanOmic and Personalized Association Study of Complex Diseases - A New Statistical and Computational Paradigm for Personalized Medicine

National Science Foundation

Grant: 2204808

RI:Small:Collaborative Research: Understanding Human-Object Interactions from First-person and Third-person Videos

National Science Foundation

Grant: 2150012

CAREER: Weakly-Supervised Visual Scene Understanding: Combining Images and Videos, and Going Beyond Semantic Tags

FWCI

0.84

Citation Percentile

0.7%

Citation Trend

2023

2024

2025

2026

hybridLicense: cc-by

conferencehttps://dl.acm.org/doi/pdf/10.1145/3534678.3539438

publisherhttps://dl.acm.org/doi/pdf/10.1145/3534678.3539438

publisherhttps://dl.acm.org/doi/10.1145/3534678.3539438

conferencehttps://doi.org/10.1145/3534678.3539438

https://dx.doi.org/10.48550/arxiv.2206.01909

Fields of Study

Domain Adaptation and Few-Shot LearningReservoir Engineering and Simulation MethodsMachine Learning and Data Classification0202 electrical engineering, electronic engineering, information engineering02 engineering and technology01 natural sciences0105 earth and related environmental sciences

Keywords

Regularization (linguistics)Computer scienceRobustness (evolution)Invariant (physics)Artificial intelligenceAlgorithmTest dataSoftwareMachine learningTheoretical computer scienceMathematicsProgramming languageFOS: Computer and information sciencesComputer Science - Machine LearningMachine Learning (cs.LG)

Sustainable Development Goals

SDG 0: Partnerships for the goals