One-class Text Classification with Multi-modal Deep Support Vector Data Description

2021-04-01 · EACL 2021 2 · Chenlong Hu, Yukun Feng, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura

This work presents multi-modal deep SVDD (mSVDD) for one-class text classification. By extending the uni-modal SVDD to a multiple modal one, we build mSVDD with multiple hyperspheres, that enable us to build a much better description for target one-class data. Additionally, the end-to-end architecture of mSVDD can jointly handle neural feature learning and one-class text learning. We also introduce a mechanism for incorporating negative supervision in the absence of real negative data, which can be beneficial to the mSVDD model. We conduct experiments on Reuters and 20 Newsgroup datasets, and the experimental results demonstrate that mSVDD outperforms uni-modal SVDD and mSVDD can get further improvements when negative supervision is incorporated.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

text-classification Text Classification

Text Augmented Correlation Transformer For Few-shot Classification & Segmentation

2025-01-01 · CVPR 2025 1 · Srinivasa Rao Nandam, Sara Atito, ZhenHua Feng, Josef Kittler 외

Foundation models like CLIP and ALIGN have transformed few-shot and zero-shot vision applications by fusing visual and textual data, yet the integrative few-shot classification and segmentation (FS-CS) task primarily…

Few-Shot Classification and Segmentation Few-Shot Learning Segmentation

Multimodal Late Fusion Model for Problem-Solving Strategy Classification in a Machine Learning Game

2025-07-30 · Clemens Witt, Thiemo Leonhardt, Nadine Bergner, Mareen Grillenberger arxiv

Machine learning models are widely used to support stealth assessment in digital learning environments. Existing approaches typically rely on abstracted gameplay log data, which may overlook subtle behavioral cues linked…

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification

2023-10-14 · Junjie Ye, Jie zhou, Junfeng Tian, Rui Wang 외

Recently, Target-oriented Multimodal Sentiment Classification (TMSC) has gained significant attention among scholars. However, current multimodal models have reached a performance bottleneck. To investigate the causes of…

Sentiment Analysis Sentiment Classification

Multimodal Cultural Heritage Architectural Style Classification for Residential Buildings in the UAE Based on CLIP Embeddings and SVM

2026-09-15 · Ahmed Ammar Kubba, Manar Abu Talib, Iman Ibrahim, Qassim Nasir arxiv

The analysis and classification of cultural heritage architectural styles remain challenging due to the complexity of visual images of buildings, which are highly relied on in traditional CNN-based classification approac…

Dimensionality Reduction

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

2024-11-15 · Jianfeng Chi, Ujjwal Karn, Hongyuan Zhan, Eric Smith 외

We introduce Llama Guard 3 Vision, a multimodal LLM-based safeguard for human-AI conversations that involves image understanding: it can be used to safeguard content for both multimodal LLM inputs (prompt classification)…