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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 1–50 of 56 papers

TitleStatusHype
OneRing: A Simple Method for Source-free Open-partial Domain AdaptationCode1
Adversarial Reweighting for Partial Domain AdaptationCode1
Improving Mini-batch Optimal Transport via Partial TransportationCode1
A Balanced and Uncertainty-aware Approach for Partial Domain AdaptationCode1
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain AdaptationCode1
Universal Domain Adaptation through Self SupervisionCode1
Learning to Transfer Examples for Partial Domain AdaptationCode1
Bi-level Unbalanced Optimal Transport for Partial Domain Adaptation—0
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation—0
Co-training partial domain adaptation networks for industrial Fault Diagnosis—0
Partial Distribution Matching via Partial Wasserstein Adversarial Networks—0
Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation ApproachCode0
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting—0
Robust Class-Conditional Distribution Alignment for Partial Domain Adaptation—0
A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes—0
MOT: Masked Optimal Transport for Partial Domain Adaptation—0
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation—0
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods—0
Selective Partial Domain AdaptationCode0
Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation—0
Controlled Generation of Unseen Faults for Partial and Open-Partial Domain Adaptation—0
From Big to Small: Adaptive Learning to Partial-Set DomainsCode0
Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices—0
Implicit Semantic Response Alignment for Partial Domain AdaptationCode0
Self-Adaptive Partial Domain Adaptation—0
Source Class Selection with Label Propagation for Partial Domain AdaptationCode0
Partial Domain Adaptation without Domain AlignmentCode0
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network—0
Partial Feature Selection and Alignment for Multi-Source Domain Adaptation—0
Domain Consensus Clustering for Universal Domain AdaptationCode0
On Evolving Attention Towards Domain Adaptation—0
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation—0
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation—0
Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge—0
Unsupervised Domain Adaptation with Progressive Adaptation of SubspacesCode0
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation—0
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation—0
Learning Target Domain Specific Classifier for Partial Domain Adaptation—0
Associative Partial Domain Adaptation—0
Discriminative Partial Domain Adversarial Network—0
Self-Supervised Learning Across Domains—0
Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization—0
Partial Domain Adaptation Using Graph Convolutional Networks—0
Deep Residual Correction Network for Partial Domain AdaptationCode0
Class Conditional Alignment for Partial Domain Adaptation—0
Minimum Class Confusion for Versatile Domain AdaptationCode0
Relation Adversarial Network for Low Resource Knowledge Graph Completion—0
Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning—0
Tackling Partial Domain Adaptation with Self-Supervision—0
Discriminative Clustering for Robust Unsupervised Domain Adaptation—0
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