Imagen de Portada

Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario: Application to Disaster Management

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ghosh, Samujjwal, Maji, Subhadeep, Desarkar, Maunendra Sankar
Formato:	Preprint
Publicado:	2021
Materias:	Computation and Language Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response Generation
por: Dey, Suvodip, et al.
Publicado: (2025)

DIWALI: Diversity and Inclusivity aWare cuLture specific Items for India: Dataset and Assessment of LLMs for Cultural Text Adaptation in Indian Context
por: Sahoo, Pramit, et al.
Publicado: (2025)

NLIP_Lab-IITH Multilingual MT System for WAT24 MT Shared Task
por: Brahma, Maharaj, et al.
Publicado: (2024)

NLIP_Lab-IITH Low-Resource MT System for WMT24 Indic MT Shared Task
por: Sahoo, Pramit, et al.
Publicado: (2024)

Transformer based Multitask Learning for Image Captioning and Object Detection
por: Basak, Debolena, et al.
Publicado: (2024)

CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages
por: Maurya, Kaushal Kumar, et al.
Publicado: (2023)

Efficient data selection employing Semantic Similarity-based Graph Structures for model training
por: Petcu, Roxana, et al.
Publicado: (2024)

Multilingual Tokenization through the Lens of Indian Languages: Challenges and Insights
por: Karthika, N J, et al.
Publicado: (2025)

MorphTok: Morphologically Grounded Tokenization for Indian Languages
por: Brahma, Maharaj, et al.
Publicado: (2025)

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering
por: Bastola, Deepak, et al.
Publicado: (2025)

The Art of Breaking Words: Rethinking Multilingual Tokenizer Design
por: Thakur, Aamod, et al.
Publicado: (2025)

On Evaluation Protocols for Data Augmentation in a Limited Data Scenario
por: Piedboeuf, Frédéric, et al.
Publicado: (2024)

Label-semantics Aware Generative Approach for Domain-Agnostic Multilabel Classification
por: Khatuya, Subhendu, et al.
Publicado: (2025)

Logic Programming on Knowledge Graph Networks And its Application in Medical Domain
por: Wang, Chuanqing, et al.
Publicado: (2026)

MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices
por: Ghosh, Sohom, et al.
Publicado: (2025)

Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs
por: Weill, Nathan, et al.
Publicado: (2026)

Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks
por: Melton, Joshua, et al.
Publicado: (2024)

From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation
por: Marashian, Ali, et al.
Publicado: (2024)

Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
por: Hua, Yuncheng, et al.
Publicado: (2024)

Song Emotion Classification of Lyrics with Out-of-Domain Data under Label Scarcity
por: Sakunkoo, Jonathan, et al.
Publicado: (2024)

Graph Neural Networks on Discriminative Graphs of Words
por: Abbahaddou, Yassine, et al.
Publicado: (2024)

Querying Labeled Time Series Data with Scenario Programs
por: Kim, Edward, et al.
Publicado: (2025)

Automatically Identifying Local and Global Circuits with Linear Computation Graphs
por: Ge, Xuyang, et al.
Publicado: (2024)

Instruction Data Generation and Unsupervised Adaptation for Speech Language Models
por: Noroozi, Vahid, et al.
Publicado: (2024)

GNN: Graph Neural Network and Large Language Model for Data Discovery
por: Hoang, Thomas
Publicado: (2024)

Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation
por: Wen, Tao, et al.
Publicado: (2025)

Rethinking Propagation for Unsupervised Graph Domain Adaptation
por: Liu, Meihan, et al.
Publicado: (2024)

Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach
por: Mao, Minjia, et al.
Publicado: (2024)

Harnessing Large Language Models for Disaster Management: A Survey
por: Lei, Zhenyu, et al.
Publicado: (2025)

Unsupervised Domain Adaptation Via Data Pruning
por: Napoli, Andrea, et al.
Publicado: (2024)

GraphNarrator: Generating Textual Explanations for Graph Neural Networks
por: Pan, Bo, et al.
Publicado: (2024)

To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation
por: Azeemi, Abdul Hameed, et al.
Publicado: (2024)

Article Classification with Graph Neural Networks and Multigraphs
por: Ly, Khang, et al.
Publicado: (2023)

A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness
por: Pecher, Branislav, et al.
Publicado: (2023)

On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
por: Pecher, Branislav, et al.
Publicado: (2024)

Verification of Neural Networks' Global Robustness
por: Kabaha, Anan, et al.
Publicado: (2024)

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
por: Liu, Meihan, et al.
Publicado: (2024)

AyurParam: A State-of-the-Art Bilingual Language Model for Ayurveda
por: Nauman, Mohd, et al.
Publicado: (2025)

Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
por: Zhao, Tianxiang, et al.
Publicado: (2024)

Graph Neural Network and NER-Based Text Summarization
por: Khan, Imaad Zaffar, et al.
Publicado: (2024)