domain classification

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 49 papers with code (160 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised Image-to-Image Translation Models to Support Cross-Domain Classification
  18 Mar 2023 2 repositories listed
  Cross-domain classification frameworks were developed to handle this data domain shift problem by utilizing unsupervised image-to-image translation models to translate an input image from the unlabeled domain to the…
• Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques
  13 Jun 2022 2 repositories listed
  We present the task description and discussion on the results of the DCASE 2022 Challenge Task 2: ``Unsupervised anomalous sound detection (ASD) for machine condition monitoring applying domain generalization…
• Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
  16 Aug 2019 2 repositories listed
  Qualitative and quantitative evaluations demonstrate that the proposed method outperforms the state of the art in multi-domain image-to-image translation and that it surpasses predominant weakly-supervised localization…
• An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification
  27 Dec 2024 1 repository listed
  Domain adaptation is an active area of research driven by the growing demand for robust machine learning models that perform well on real-world data.
• KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment
  6 Dec 2024 1 repository listed
  To address this challenge, Domain Alignment (DAL) has been widely adopted for cross-domain classification tasks, as it focuses on aligning the global distributions of the source and target domains in feature space.
• BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
  3 Dec 2024 1 repository listed
  In this paper, we propose an approach called Boundary-Aware LLMs for Few-Shot Named Entity Recognition to address these issues.
• Graph Integration for Diffusion-Based Manifold Alignment
  30 Oct 2024 1 repository listed
  The first method, Shortest Paths on the Union of Domains (SPUD), forms a unified graph structure using known correspondences to establish graph edges.
• A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding
  24 Sep 2024 1 repository listed
  Dialogue State Tracking (DST) is crucial for understanding user needs and executing appropriate system actions in task-oriented dialogues.
• MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU
  15 Aug 2024 1 repository listed
  This paper introduces a novel approach, MIDAS, leveraging a multi-level intent, domain, and slot knowledge distillation for multi-turn NLU.
• Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imagery
  2 Aug 2024 1 repository listed
  Our DA-enhanced searchlight predicts imagery contents in a highly distributed set of brain regions, including the visual cortex and the frontoparietal cortex, thereby outperforming standard cross-domain classification…
• Harnessing Quantum Support Vector Machines for Cross-Domain Classification of Quantum States
  30 Jun 2024 1 repository listed
  In the present study, we use cross-domain classification using quantum machine learning for quantum advantages to readdress the entanglement versus separability paradigm.
• Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations
  27 Jun 2024 1 repository listed
  We present a generalizable classification approach that leverages Large Language Models (LLMs) to facilitate the detection of implicitly encoded social meaning in conversations.
• ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments
  11 Dec 2023 1 repository listed
  This research presents ADOD, a novel approach to address domain generalization in underwater object detection.
• Classifying multilingual party manifestos: Domain transfer across country, time, and genre
  31 Jul 2023 1 repository listed
  We explore the potential of domain transfer across geographical locations, languages, time, and genre in a large-scale database of political manifestos.
• Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling
  26 Jul 2023 1 repository listed Syntology ran 13 of 21 samples · 8 unverified · 21 pointer-only (licence)
  Current methods aiming to handle the missing modality problem in multi-modal tasks, either deal with missing modalities only during evaluation or train separate models to handle specific missing modality settings.
• Domain Private Transformers for Multi-Domain Dialog Systems
  23 May 2023 1 repository listed
  Large, general purpose language models have demonstrated impressive performance across many different conversational domains.
• The Benefits of Label-Description Training for Zero-Shot Text Classification
  3 May 2023 1 repository listed
  Pretrained language models have improved zero-shot text classification by allowing the transfer of semantic knowledge from the training data in order to classify among specific label sets in downstream tasks.
• TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
  18 Apr 2023 1 repository listed Syntology ran 2 of 9 samples · 7 unverified
  In addition, generative data augmentation (GDA) has been shown to produce more diverse and flexible data.
• Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification
  5 Apr 2023 1 repository listed
  The first task is classifying whether statements of clinical and policy recommendations in scientific literature constitute health advice.
• Medical diffusion on a budget: Textual Inversion for medical image generation
  23 Mar 2023 1 repository listed
  This work shows that adapting pre-trained Stable Diffusion models to medical imaging modalities is achievable by training text embeddings using Textual Inversion.
• GLeaD: Improving GANs with A Generator-Leading Task
  7 Dec 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Generative adversarial network (GAN) is formulated as a two-player game between a generator (G) and a discriminator (D), where D is asked to differentiate whether an image comes from real data or is produced by G.
• Non-Contrastive Learning Meets Language-Image Pre-Training
  17 Oct 2022 1 repository listed
  Contrastive language-image pre-training (CLIP) serves as a de-facto standard to align images and texts.
• Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization
  2 Sep 2022 1 repository listed
  Domain Generalization (DG) studies the capability of a deep learning model to generalize to out-of-training distributions.
• IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification
  23 Aug 2022 1 repository listed
  The appearance of histopathology images depends on tissue type, staining and digitization procedure.
• The Moral Foundations Reddit Corpus
  10 Aug 2022 1 repository listed
  Moral framing and sentiment can affect a variety of online and offline behaviors, including donation, pro-environmental action, political engagement, and even participation in violent protests.
• Cross-Domain Classification of Moral Values
  1 Jul 2022 1 repository listed
  However, domain-specific moral rhetoric poses challenges for transferring knowledge from one domain to another.
• Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
  30 May 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Recent test-time adaptation methods update batch normalization layers of pre-trained source models deployed in new target environments with streaming data to mitigate such performance degradation.
• GitRanking: A Ranking of GitHub Topics for Software Classification using Active Sampling
  19 May 2022 1 repository listed
  Finally, we show that GitRanking is a dynamically extensible method: it can currently accept further terms to be ranked with a minimum number of annotations (∼ 15).
• Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification
  5 May 2022 1 repository listed
  However, the existing methods based on meta learning still need to construct a labeled source data set with several pre-collected HSIs, and must utilize a large number of labeled samples for meta-training, which is…
• Reports of personal experiences and stories in argumentation: datasets and analysis
  1 May 2022 1 repository listed
  Reports of personal experiences or stories can play a crucial role in argumentation, as they represent an immediate and (often) relatable way to back up one’s position with respect to a given topic.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.