Who Cited It

Return of Frustratingly Easy Domain Adaptation

2016 · Proceedings of the AAAI Conference on Artificial Intelligence · 1,910 citations · 8 from inside this corpus

Baochen Sun, Jiashi Feng, Kate Saenko

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Return of Frustratingly Easy Domain Adaptation (2016)Return of Frustratingly Easy …Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2015)Batch Normalization: Accelera…DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013)DeCAF: A Deep Convolutional A…Adapting Visual Category Models to New Domains (2010)Adapting Visual Category Mode…Learning Transferable Features with Deep Adaptation Networks (2015)Learning Transferable Feature…Unsupervised Domain Adaptation by Backpropagation (2014)Unsupervised Domain Adaptatio…Deep Domain Confusion: Maximizing for Domain Invariance (2014)Deep Domain Confusion: Maximi…Geodesic flow kernel for unsupervised domain adaptation (2012)Geodesic flow kernel for unsu…Analysis of Representations for Domain Adaptation (2007)Analysis of Representations f…Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi… (2007)Biographies, Bollywood, Boom-…Correcting Sample Selection Bias by Unlabeled Data (2007)Correcting Sample Selection B…Domain adaptation with structural correspondence learning (2006)Domain adaptation with struct…Unsupervised Visual Domain Adaptation Using Subspace Alignment (2013)Unsupervised Visual Domain Ad…Frustratingly Easy Domain Adaptation (2009)Frustratingly Easy Domain Ada…A Comprehensive Survey on Transfer Learning (2020)A Comprehensive Survey on Tra…Adversarial Discriminative Domain Adaptation (2017)Adversarial Discriminative Do…Deep CORAL: Correlation Alignment for Deep Domain Adaptation (2016)Deep CORAL: Correlation Align…Maximum Classifier Discrepancy for Unsupervised Domain Adaptation (2018)Maximum Classifier Discrepanc…Deep visual domain adaptation: A survey (2018)Deep visual domain adaptation…Deep Hashing Network for Unsupervised Domain Adaptation (2017)Deep Hashing Network for Unsu…Moment Matching for Multi-Source Domain Adaptation (2019)Moment Matching for Multi-Sou…Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks (2017)Unsupervised Pixel-Level Doma…
21 of 21 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

What cites it, inside the corpus

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Multimodal Machine Learning ApplicationsComputer Science
Cancer-related molecular mechanisms researchBiochemistry, Genetics and Molecular Biology

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports3 author record(s) attached.
  • supports58 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:52+00:00.

sha256 930f5bc64fea8a60…