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Multi-Label Classification

49 papers with code · Methodology

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Latest papers with code

End-to-End Neural Speaker Diarization with Permutation-Free Objectives

12 Sep 2019hitachi-speech/EEND

To realize such a model, we formulate the speaker diarization problem as a multi-label classification problem, and introduces a permutation-free objective function to directly minimize diarization errors without being suffered from the speaker-label permutation problem.

DOMAIN ADAPTATION MULTI-LABEL CLASSIFICATION SPEAKER DIARIZATION

33
12 Sep 2019

Relation Network for Multi-label Aerial Image Classification

16 Jul 2019Hua-YS/AID-Multilabel-Dataset

Particularly, our network consists of three elemental modules: 1) a label-wise feature parcel learning module, 2) an attentional region extraction module, and 3) a label relational inference module.

IMAGE CLASSIFICATION MULTI-LABEL CLASSIFICATION RELATIONAL REASONING

3
16 Jul 2019

Hyperbolic Interaction Model For Hierarchical Multi-Label Classification

26 May 2019bcol23/HyperIM

The main reason is that the tree-likeness of the hyperbolic space matches the complexity of symbolic data with hierarchical structures.

MULTI-LABEL CLASSIFICATION

12
26 May 2019

Bonsai -- Diverse and Shallow Trees for Extreme Multi-label Classification

17 Apr 2019tomtung/omikuji

In this paper, we develop a suite of algorithms, called Bonsai, which generalizes the notion of label representation in XMC, and partitions the labels in the representation space to learn shallow trees.

EXTREME MULTI-LABEL CLASSIFICATION MULTI-LABEL CLASSIFICATION MULTI-LABEL LEARNING

19
17 Apr 2019

Neural Message Passing for Multi-Label Classification

ICLR 2019 QData/LaMP

We propose Label Message Passing (LaMP) Neural Networks to efficiently model the joint prediction of multiple labels.

MULTI-LABEL CLASSIFICATION

16
17 Apr 2019

Multi-Label Image Recognition with Graph Convolutional Networks

CVPR 2019 Megvii-Nanjing/ML_GCN

The task of multi-label image recognition is to predict a set of object labels that present in an image.

MULTI-LABEL CLASSIFICATION WORD EMBEDDINGS

494
07 Apr 2019

Stochastic Gradient Trees

23 Jan 2019henrygouk/stochastic-gradient-trees

We present an algorithm for learning decision trees using stochastic gradient information as the source of supervision.

MULTI-LABEL CLASSIFICATION

4
23 Jan 2019

ELASTIC: Improving CNNs with Dynamic Scaling Policies

CVPR 2019 allenai/elastic

We formulate the scaling policy as a non-linear function inside the network's structure that (a) is learned from data, (b) is instance specific, (c) does not add extra computation, and (d) can be applied on any network architecture.

MULTI-LABEL CLASSIFICATION SEMANTIC SEGMENTATION

55
13 Dec 2018

ML-Net: multi-label classification of biomedical texts with deep neural networks

13 Nov 2018ncbi-nlp/BLUE_Benchmark

Due to this nature, the multi-label text classification task is often considered to be more challenging compared to the binary or multi-class text classification problems.

BENCHMARKING FEATURE ENGINEERING MULTI-LABEL CLASSIFICATION MULTI-LABEL CLASSIFICATION OF BIOMEDICAL TEXTS MULTI-LABEL TEXT CLASSIFICATION TEXT CLASSIFICATION

53
13 Nov 2018

A no-regret generalization of hierarchical softmax to extreme multi-label classification

NeurIPS 2018 mwydmuch/extremeText

Extreme multi-label classification (XMLC) is a problem of tagging an instance with a small subset of relevant labels chosen from an extremely large pool of possible labels.

EXTREME MULTI-LABEL CLASSIFICATION MULTI-LABEL CLASSIFICATION

86
27 Oct 2018