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Partial Domain Adaptation

Partial Domain Adaptation is a transfer learning paradigm, which manages to transfer relevant knowledge from a large-scale source domain to a small-scale target domain.

Source: Deep Residual Correction Network for Partial Domain Adaptation

Papers

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Showing 26–50 of 56 papers

TitleStatusHype
Robust Class-Conditional Distribution Alignment for Partial Domain Adaptation—0
Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation—0
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation—0
Self-Adaptive Partial Domain Adaptation—0
Self-Supervised Learning Across Domains—0
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation—0
Tackling Partial Domain Adaptation with Self-Supervision—0
Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning—0
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation—0
Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization—0
Co-training partial domain adaptation networks for industrial Fault Diagnosis—0
Learning Target Domain Specific Classifier for Partial Domain Adaptation—0
Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices—0
MOT: Masked Optimal Transport for Partial Domain Adaptation—0
On Evolving Attention Towards Domain Adaptation—0
Partial Distribution Matching via Partial Wasserstein Adversarial Networks—0
Partial Domain Adaptation Using Graph Convolutional Networks—0
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation—0
Implicit Semantic Response Alignment for Partial Domain AdaptationCode0
Importance Weighted Adversarial Nets for Partial Domain AdaptationCode0
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain AdaptationCode0
Selective Partial Domain AdaptationCode0
Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation ApproachCode0
From Big to Small: Adaptive Learning to Partial-Set DomainsCode0
Minimum Class Confusion for Versatile Domain AdaptationCode0
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