Papers Multi-Label Classification
“Multi-Label Classification” 태그가 달린 논문 1,337편 · 필터 해제
Machine Learning based Prediction of Hierarchical Classification of Transposable Elements
Transposable Elements (TEs) or jumping genes are the DNA sequences that have an intrinsic capability to move within a host genome from one genomic location to another. Studies show that the presence of a TE within or adj…
BIG-bench Machine LearningBinary ClassificationClassificationGeneral Classification+2A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification
Multi-label classification (MLC) aims to predict a set of labels for a given instance. Based on a pre-defined label order, the sequence-to-sequence (Seq2Seq) model trained via maximum likelihood estimation method has bee…
General ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONReinforcement Learning+1Hierarchical Multi-label Classification of Text with Capsule Networks
Capsule networks have been shown to demonstrate good performance on structured data in the area of visual inference. In this paper we apply and compare simple shallow capsule networks for hierarchical multi-label text cl…
AttributeClassificationGeneral ClassificationHierarchical Multi-label Classification+6NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
In this paper, we introduce NeuralClassifier, a toolkit for neural hierarchical multi-label text classification. NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classif…
ClassificationGeneral ClassificationGPUHierarchical Multi-label Classification+7Multi-Label Product Categorization Using Multi-Modal Fusion Models
In this study, we investigated multi-modal approaches using images, descriptions, and titles to categorize e-commerce products on Amazon. Specifically, we examined late fusion models, where the modalities are fused at th…
Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATIONProduct CategorizationProgressive Fashion Attribute Extraction
Extracting fashion attributes from images of people wearing clothing/fashion accessories is a very hard multi-class classification problem. Most often, even catalogues of fashion do not have all the fine-grained attribut…
AllArticlesAttributeAttribute Extraction+5Multi-label Classification with Optimal Thresholding for Multi-composition Spectroscopic Analysis
In this paper, we implement multi-label neural networks with optimal thresholding to identify gas species among a multi gas mixture in a cluttered environment. Using infrared absorption spectroscopy and tested on synthes…
General ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONUnderstanding Human Context in 3D Scenes by Learning Spatial Affordances with Virtual Skeleton Models
Robots are often required to operate in environments where humans are not present, but yet require the human context information for better human-robot interaction. Even when humans are present in the environment, detect…
Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATIONDynamic Network Embedding via Incremental Skip-gram with Negative Sampling
Network representation learning, as an approach to learn low dimensional representations of vertices, has attracted considerable research attention recently. It has been proven extremely useful in many machine learning t…
Link PredictionMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONNetwork Embedding+1Rectifying Classifier Chains for Multi-Label Classification
Classifier chains have recently been proposed as an appealing method for tackling the multi-label classification task. In addition to several empirical studies showing its state-of-the-art performance, especially when be…
AttributeClassificationGeneral ClassificationMulti-Label Classification+1Neural Legal Judgment Prediction in English
Legal judgment prediction is the task of automatically predicting the outcome of a court case, given a text describing the case's facts. Previous work on using neural models for this task has focused on Chinese; only fea…
Binary text classificationGeneral ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATION+1Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog
Neural network models have recently gained traction for sentence-level intent classification and token-based slot-label identification. In many real-world scenarios, users have multiple intents in the same utterance, and…
General ClassificationGoal-Oriented Dialogintent-classificationIntent Classification+4Beyond Context: A New Perspective for Word Embeddings
Most word embeddings today are trained by optimizing a language modeling goal of scoring words in their context, modeled as a multi-class classification problem. In this paper, we argue that, despite the successes of thi…
ClassificationFeature EngineeringGeneral ClassificationLanguage Modeling+7Hyperbolic Interaction Model For Hierarchical Multi-Label Classification
Different from the traditional classification tasks which assume mutual exclusion of labels, hierarchical multi-label classification (HMLC) aims to assign multiple labels to every instance with the labels organized under…
ClassificationGeneral ClassificationHierarchical Multi-label Classificationmodel+2Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event Detection
In this paper, a special decision surface for the weakly-supervised sound event detection (SED) and a disentangled feature (DF) for the multi-label problem in polyphonic SED are proposed. We approach SED as a multiple in…
Event DetectionMulti-Label ClassificationMultiple Instance LearningSound Event DetectionLdSM: Logarithm-depth Streaming Multi-label Decision Trees
We consider multi-label classification where the goal is to annotate each data point with the most relevant $\textit{subset}$ of labels from an extremely large label set. Efficient annotation can be achieved with balance…
General ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONPredictionGradient tree boosting with random output projections for multi-label classification and multi-output regression
In many applications of supervised learning, multiple classification or regression outputs have to be predicted jointly. We consider several extensions of gradient boosting to address such problems. We first propose a st…
General ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONregressionVICSOM: VIsual Clues from SOcial Media for psychological assessment
Sharing multimodal information (typically images, videos or text) in Social Network Sites (SNS) occupies a relevant part of our time. The particular way how users expose themselves in SNS can provide useful information t…
Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATIONAssessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting
Commonsense knowledge relations are crucial for advanced NLU tasks. We examine the learnability of such relations as represented in CONCEPTNET, taking into account their specific properties, which can make relation class…
ClassificationGeneral ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATION+2Multimodal Semantic Attention Network for Video Captioning
Inspired by the fact that different modalities in videos carry complementary information, we propose a Multimodal Semantic Attention Network(MSAN), which is a new encoder-decoder framework incorporating multimodal semant…
AttributeDecoderGeneral ClassificationMulti-Label Classification+2