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Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks

https://doi.org/10.1109/tpami.2021.3109287

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Randomness in neural networks: an overview

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Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training

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Domain Generalization with Domain-Specific Aggregation Modules

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Self-challenging Improves Cross-Domain Generalization

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Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization

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Learning the Roots of Visual Domain Shift

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Adapting Visual Category Models to New Domains

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Domain Adaptation in Regression

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Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms

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A theory of learning from different domains

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Conditional variance penalties and domain shift robustness

inferredcites →https://doi.org/10.1007/s11263-014-0696-6openalex-snapshot

Generalized Transfer Subspace Learning Through Low-Rank Constraint

inferredcites →https://doi.org/10.1016/j.inffus.2014.12.003openalex-snapshot

A survey of multi-source domain adaptation

inferredcites →https://doi.org/10.1017/9781108891530.013openalex-snapshot

Generative Adversarial Networks

inferredcites →https://doi.org/10.1093/bioinformatics/btl242openalex-snapshot

Integrating structured biological data by Kernel Maximum Mean Discrepancy

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Randomness in generalization ability: a source to improve it

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.572openalex-snapshot

Deep Hashing Network for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2018.00392openalex-snapshot

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2018.00525openalex-snapshot

Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2018.00566openalex-snapshot

Domain Generalization with Adversarial Feature Learning

inferredcites →https://doi.org/10.1109/cvpr.2019.00233openalex-snapshot

Domain Generalization by Solving Jigsaw Puzzles

inferredcites →https://doi.org/10.1109/cvpr.2019.00309openalex-snapshot

Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2019.00503openalex-snapshot

Contrastive Adaptation Network for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2019.01053openalex-snapshot

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2019.01149openalex-snapshot

Rob-GAN: Generator, Discriminator, and Adversarial Attacker

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00400openalex-snapshot

Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00460openalex-snapshot

Universal Source-Free Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00889openalex-snapshot

Harmonizing Transferability and Discriminability for Adapting Object Detectors

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00913openalex-snapshot

Stochastic Classifiers for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00966openalex-snapshot

Model Adaptation: Unsupervised Domain Adaptation Without Source Data

inferredcites →https://doi.org/10.1109/iccv.2015.477openalex-snapshot

Multi-view Domain Generalization for Visual Recognition

inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

inferredcites →https://doi.org/10.1109/iccv.2017.310openalex-snapshot

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

inferredcites →https://doi.org/10.1109/iccv.2017.591openalex-snapshot

Deeper, Broader and Artier Domain Generalization

inferredcites →https://doi.org/10.1109/iccv.2019.00151openalex-snapshot

Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1109/iccv.2019.00153openalex-snapshot

Episodic Training for Domain Generalization

inferredcites →https://doi.org/10.1109/iros.2017.8202133openalex-snapshot

Domain randomization for transferring deep neural networks from simulation to the real world

inferredcites →https://doi.org/10.1109/tai.2021.3110179openalex-snapshot

Domain Adaptation Without Source Data

inferredcites →https://doi.org/10.1109/tcyb.2018.2820174openalex-snapshot

Transfer Independently Together: A Generalized Framework for Domain Adaptation

inferredcites →https://doi.org/10.1109/tip.2019.2924174openalex-snapshot

Locality Preserving Joint Transfer for Domain Adaptation

inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot

A Survey on Transfer Learning

inferredcites →https://doi.org/10.1109/tkde.2021.3060473openalex-snapshot

Faster Domain Adaptation Networks

inferredcites →https://doi.org/10.1109/tnnls.2011.2178556openalex-snapshot

Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach

inferredcites →https://doi.org/10.1109/tnnls.2018.2868854openalex-snapshot

Heterogeneous Domain Adaptation Through Progressive Alignment

inferredcites →https://doi.org/10.1109/tpami.2009.57openalex-snapshot

Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy

inferredcites →https://doi.org/10.1109/tpami.2016.2615921openalex-snapshot

Optimal Transport for Domain Adaptation

inferredcites →https://doi.org/10.1109/tpami.2018.2814042openalex-snapshot

Beyond Sharing Weights for Deep Domain Adaptation

inferredcites →https://doi.org/10.1109/tpami.2018.2858821openalex-snapshot

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

inferredcites →https://doi.org/10.1109/tpami.2020.2964173openalex-snapshot

Deep Residual Correction Network for Partial Domain Adaptation

inferredcites →https://doi.org/10.1109/tpami.2020.2991050openalex-snapshot

Maximum Density Divergence for Domain Adaptation

inferredcites →https://doi.org/10.1109/tpami.2021.3062644openalex-snapshot

Generalized Domain Conditioned Adaptation Network

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1145/3343031.3350902openalex-snapshot

Cycle-consistent Conditional Adversarial Transfer Networks

inferredcites →https://doi.org/10.1162/089976698300017197openalex-snapshot

Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms

inferredcites →https://doi.org/10.1609/aaai.v32i1.11672openalex-snapshot

Learning to Attack: Adversarial Transformation Networks

inferredcites →https://doi.org/10.1609/aaai.v34i07.6846openalex-snapshot

Domain Generalization Using a Mixture of Multiple Latent Domains

inferredcites →https://doi.org/10.1609/aaai.v35i10.17027openalex-snapshot

Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.18653/v1/d17-1155openalex-snapshot

Instance Weighting for Neural Machine Translation Domain Adaptation

inferredcites →https://doi.org/10.24963/ijcai.2018/543openalex-snapshot

Generating Adversarial Examples with Adversarial Networks

inferredcites →https://doi.org/10.4230/oasics.saia.2024.1openalex-snapshot

On Assessing ML Model Robustness: A Methodological Framework (Academic Track)

inferredcites →https://doi.org/10.48550/arxiv.0902.3430openalex-snapshot

Domain Adaptation: Learning Bounds and Algorithms

inferredcites →https://doi.org/10.48550/arxiv.1312.6199openalex-snapshot

Intriguing properties of neural networks

inferredcites →https://doi.org/10.48550/arxiv.1412.6572openalex-snapshot

Explaining and Harnessing Adversarial Examples

inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

inferredcites →https://doi.org/10.48550/arxiv.1602.04433openalex-snapshot

Unsupervised Domain Adaptation with Residual Transfer Networks

inferredcites →https://doi.org/10.48550/arxiv.1705.07204openalex-snapshot

Ensemble Adversarial Training: Attacks and Defenses

inferredcites →https://doi.org/10.48550/arxiv.1710.06924openalex-snapshot

VisDA: The Visual Domain Adaptation Challenge

inferredcites →https://doi.org/10.48550/arxiv.1804.10745openalex-snapshot

Generalizing Across Domains via Cross-Gradient Training

inferredcites →https://doi.org/10.48550/arxiv.1805.12018openalex-snapshot

Generalizing to Unseen Domains via Adversarial Data Augmentation

inferredcites →https://doi.org/10.48550/arxiv.1807.03748openalex-snapshot

Representation Learning with Contrastive Predictive Coding

inferredcites →https://doi.org/10.48550/arxiv.1810.00069openalex-snapshot

Adversarial Attacks and Defences: A Survey

inferredcites →https://doi.org/10.48550/arxiv.1811.07457openalex-snapshot

Generalizable Adversarial Training via Spectral Normalization

inferredcites →https://doi.org/10.48550/arxiv.2001.03994openalex-snapshot

Fast is better than free: Revisiting adversarial training

inferredcites →https://doi.org/10.5555/2946645.2946704openalex-snapshot

Domain-adversarial training of neural networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Dynamic adversarial domain adaptation based on multikernel maximum mean discrepancy for breast ultrasound image classification

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Category-level selective dual-adversarial network using significance-augmented unsupervised domain adaptation for surface defect detection

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inferred← citeshttps://doi.org/10.1109/tnse.2022.3201529openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tpami.2023.3291388openalex-snapshot

Cross-Lingual Universal Dependency Parsing Only From One Monolingual Treebank

inferred← citeshttps://doi.org/10.1109/tpami.2024.3370978openalex-snapshot

A Comprehensive Survey on Source-Free Domain Adaptation

inferred← citeshttps://doi.org/10.1109/tpel.2022.3220760openalex-snapshot

Temperature Adaptive Transfer Network for Cross-Domain State-of-Charge Estimation of Li-Ion Batteries

inferred← citeshttps://doi.org/10.1109/tpel.2023.3251568openalex-snapshot

Source-Free Cross-Domain State of Charge Estimation of Lithium-Ion Batteries at Different Ambient Temperatures

inferred← citeshttps://doi.org/10.1109/tr.2025.3606485openalex-snapshot

Smart Contract Vulnerability Detection Based on Dual Adversarial Domain Adaptation

inferred← citeshttps://doi.org/10.1109/tte.2023.3293551openalex-snapshot

Transfer Learning-Based State of Charge and State of Health Estimation for Li-Ion Batteries: A Review

inferred← citeshttps://doi.org/10.1109/tte.2026.3664019openalex-snapshot

Toward Adversarial Robustness in MADRL-Based EV Charging Scheduling: A Tailored Multicriteria Adversarial Attack and Defense Framework

inferred← citeshttps://doi.org/10.1145/3469877.3490584openalex-snapshot

Source-Style Transferred Mean Teacher for Source-data Free Object Detection

inferred← citeshttps://doi.org/10.1145/3503161.3548073openalex-snapshot

Energy-Based Domain Generalization for Face Anti-Spoofing

inferred← citeshttps://doi.org/10.1145/3503161.3548079openalex-snapshot

Pixel Exclusion: Uncertainty-aware Boundary Discovery for Active Cross-Domain Semantic Segmentation

inferred← citeshttps://doi.org/10.1145/3503161.3548152openalex-snapshot

Source-Free Active Domain Adaptation via Energy-Based Locality Preserving Transfer

inferred← citeshttps://doi.org/10.1145/3511808.3557277openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3543507.3583369openalex-snapshot

CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval

inferred← citeshttps://doi.org/10.1145/3565368openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3570510openalex-snapshot

Source-free Unsupervised Domain Adaptation with Trusted Pseudo Samples

inferred← citeshttps://doi.org/10.1145/3576925openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3581783.3611896openalex-snapshot

Adaptive Feature Swapping for Unsupervised Domain Adaptation

inferred← citeshttps://doi.org/10.1145/3581783.3611897openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3581783.3612071openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3581783.3613821openalex-snapshot

Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation

inferred← citeshttps://doi.org/10.1145/3623399openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3627536openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3632524openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3657301openalex-snapshot

A Survey of Trustworthy Representation Learning Across Domains

inferred← citeshttps://doi.org/10.1177/14727978251371848openalex-snapshot

Action recognition technology based on feature comparison in Wushu web teaching video

inferred← citeshttps://doi.org/10.1609/aaai.v38i8.28674openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/app15105535openalex-snapshot

Cross-Database Learning Framework for Electrocardiogram Arrhythmia Classification Using Two-Dimensional Beat-Score-Map Representation

inferred← citeshttps://doi.org/10.3390/app16063006openalex-snapshot

Multi-Source-Free Domain Adaptation via Proxy Domain Adversarial Learning with Nuclear-Norm Maximization

inferred← citeshttps://doi.org/10.3390/math13091491openalex-snapshot

Gradual Geometry-Guided Knowledge Distillation for Source-Data-Free Domain Adaptation

inferred← citeshttps://doi.org/10.3390/sym17071093openalex-snapshot

Query-Efficient Two-Phase Reinforcement Learning Framework for Black-Box Adversarial Attacks

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