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Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation

https://doi.org/10.24963/ijcai.2018/412
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Outgoing claims: the papers this work cites, builds on, or argues with.

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SURF: Speeded Up Robust Features
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Computational Optimal Transport
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Theoretical Analysis of Domain Adaptation with Optimal Transport
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Adapting Visual Category Models to New Domains
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Transfer Joint Matching for Unsupervised Domain Adaptation
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Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation
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Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
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Cotransfer Learning Using Coupled Markov Chains with Restart
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Visual Domain Adaptation: A survey of recent advances
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A Survey on Transfer Learning
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Domain Adaptation via Transfer Component Analysis
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Transfer Learning for Visual Categorization: A Survey
inferredcites →https://doi.org/10.1109/tnnls.2017.2751102openalex-snapshot
Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions
inferredcites →https://doi.org/10.1109/tpami.2013.167openalex-snapshot
Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation
inferredcites →https://doi.org/10.1109/tpami.2016.2615921openalex-snapshot
Optimal Transport for Domain Adaptation
inferredcites →https://doi.org/10.1137/141000439openalex-snapshot
Iterative Bregman Projections for Regularized Transportation Problems
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LIBSVM
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Transitive Transfer Learning
inferredcites →https://doi.org/10.1609/aaai.v28i1.8961openalex-snapshot
Hybrid Heterogeneous Transfer Learning through Deep Learning
inferredcites →https://doi.org/10.1609/aaai.v30i1.10211openalex-snapshot
Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction
inferredcites →https://doi.org/10.24963/ijcai.2017/329openalex-snapshot
Understanding How Feature Structure Transfers in Transfer Learning
inferredcites →https://doi.org/10.24963/ijcai.2017/341openalex-snapshot
General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer
inferredcites →https://doi.org/10.24963/ijcai.2017/349openalex-snapshot
Completely Heterogeneous Transfer Learning with Attention - What And What Not To Transfer
inferredcites →https://doi.org/10.24963/ijcai.2017/454openalex-snapshot
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation
inferredcites →https://doi.org/10.48550/arxiv.1206.4660openalex-snapshot
Learning with Augmented Features for Heterogeneous Domain Adaptation
inferredcites →https://doi.org/10.48550/arxiv.1310.1531openalex-snapshot
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
inferredcites →https://doi.org/10.48550/arxiv.1502.02791openalex-snapshot
Learning Transferable Features with Deep Adaptation Networks

What points at this work

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

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