domain classification
36 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Most implemented papers
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
RoyalVane/ASM
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NeurIPS 2020
We aim at the problem named One-Shot Unsupervised Domain Adaptation.
ProDOMA: improve PROtein DOMAin classification for third-generation sequencing reads using deep learning
In summary, ProDOMA is a useful end-to-end protein domain analysis tool for long noisy reads without relying on error correction.
General Domain Adaptation Through Proportional Progressive Pseudo Labeling
Domain adaptation helps transfer the knowledge gained from a labeled source domain to an unlabeled target domain.
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains
AleksCipri/DeepMergeDomainAdaptation
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Here we employ domain adaptation techniques$-$ Maximum Mean Discrepancy (MMD) as an additional transfer loss and Domain Adversarial Neural Networks (DANNs)$-$ and demonstrate their viability to extract domain-invariant features within the astronomical context of classifying merging and non-merging galaxies.
Domain Consensus Clustering for Universal Domain Adaptation
Solacex/Domain-Consensus-Clustering
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CVPR 2021
To better exploit the intrinsic structure of the target domain, we propose Domain Consensus Clustering (DCC), which exploits the domain consensus knowledge to discover discriminative clusters on both common samples and private ones.
A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification
Some of the previous studies found that the spectrogram of various types of heart sounds is visually distinguishable to human eyes, which motivated this study to experiment on visual domain classification approaches for automated heart sound classification.
Information Bottleneck Approach to Spatial Attention Learning
ashleylqx/aib
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Extensive experiments show that the proposed IB-inspired spatial attention mechanism can yield attention maps that neatly highlight the regions of interest while suppressing backgrounds, and bootstrap standard DNN structures for visual recognition tasks (e. g., image classification, fine-grained recognition, cross-domain classification).
$k$Folden: $k$-Fold Ensemble for Out-Of-Distribution Detection
ShannonAI/kfolden-ood-detection
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For a task with $k$ training labels, $k$Folden induces $k$ sub-models, each of which is trained on a subset with $k-1$ categories with the left category masked unknown to the sub-model.
Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus
The development of automated approaches to linguistic acceptability has been greatly fostered by the availability of the English CoLA corpus, which has also been included in the widely used GLUE benchmark.
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources
easezyc/deep-transfer-learning
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However, in the practical scenario, labeled data can be typically collected from multiple diverse sources, and they might be different not only from the target domain but also from each other.
