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Multi-Label Classification

49 papers with code ยท Methodology

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BERT for Sequence-to-Sequence Milti-Label Text Classification

ICLR 2020

We study the BERT language representation model and the sequence generation model with BERT encoder for multi-label text classification task.

MULTI-LABEL CLASSIFICATION MULTI-LABEL TEXT CLASSIFICATION TEXT CLASSIFICATION

A multi-label, dual-output deep neural network for automated bug triaging

13 Oct 2019

There is an observed average lift (with respect to both team and developer assignment) of 13%-points in 11-fold incremental-learning cross-validation (IL-CV) accuracy for Dual DNN utilizing owner-weighted labels compared with the traditional multi-class classification approach.

MULTI-LABEL CLASSIFICATION

Multi-label Categorization of Accounts of Sexism using a Neural Framework

10 Oct 2019

Sexism, an injustice that subjects women and girls to enormous suffering, manifests in blatant as well as subtle ways.

MULTI-LABEL CLASSIFICATION WORD EMBEDDINGS

Learning Category Correlations for Multi-label Image Recognition with Graph Networks

28 Sep 2019

In this paper, instead of using a pre-defined graph which is inflexible and may be sub-optimal for multi-label classification, we propose the A-GCN, which leverages the popular Graph Convolutional Networks with an Adaptive label correlation graph to model label dependencies.

MULTI-LABEL CLASSIFICATION WORD EMBEDDINGS

A Self-consistent-field Iteration for Orthogonal Canonical Correlation Analysis

25 Sep 2019

In this paper, we propose an alternating numerical scheme whose core is the sub-maximization problem in the trace-fractional form with an orthogonal constraint.

MULTI-LABEL CLASSIFICATION

DyANE: Dynamics-aware node embedding for temporal networks

12 Sep 2019

We show that the resulting embedding vectors are useful for prediction tasks related to paradigmatic dynamical processes, namely epidemic spreading over empirical temporal networks.

MULTI-LABEL CLASSIFICATION

Privacy-Preserving Bandits

10 Sep 2019

Contextual bandit algorithms (CBAs) often rely on personal data to provide recommendations.

MULTI-LABEL CLASSIFICATION

Order-free Learning Alleviating Exposure Bias in Multi-label Classification

8 Sep 2019

In this paper, we propose a new framework for MLC which does not rely on a predefined label order and thus alleviates exposure bias.

MULTI-LABEL CLASSIFICATION