GL2vec: Graph Embedding Enriched by Line Graphs with Edge Features

ICONIP 2019 2020 benedekrozemberczki/karateclub

Specifically, it complements either the edge label information or the structural information which Graph2vec misses with the embeddings of the line graphs.

GRAPH CLASSIFICATION GRAPH EMBEDDING

257
23 Jan 2020

Continual Local Replacement for Few-shot Image Recognition

23 Jan 2020Lecanyu/ContinualLocalReplacement

It is challenging mainly due to two aspects: (1) it lacks good feature representation of novel classes; (2) a few labeled data could not accurately represent the true data distribution.

FEW-SHOT LEARNING

2
23 Jan 2020

Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion

22 Jan 2020unilight/cdvae-vc

In this paper, we extend the CDVAE-VC framework by incorporating the concept of adversarial learning, in order to further increase the degree of disentanglement, thereby improving the quality and similarity of converted speech.

VOICE CONVERSION

20
22 Jan 2020

ManyModalQA: Modality Disambiguation and QA over Diverse Inputs

22 Jan 2020hannandarryl/ManyModalQA

To demonstrate this ambiguity, we construct a modality selector (or disambiguator) network, and this model gets substantially lower accuracy on our challenge set, compared to existing datasets, indicating that our questions are more ambiguous.

QUESTION ANSWERING TRANSFER LEARNING

0
22 Jan 2020

Optimal binning: mathematical programming formulation

22 Jan 2020guillermo-navas-palencia/optbinning

The optimal binning is the optimal discretization of a variable into bins given a discrete or continuous numeric target.

3
22 Jan 2020

GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation

22 Jan 2020idea-iitd/graphgen

Minimum DFS codes are canonical labels and capture the graph structure precisely along with the label information.

GRAPH GENERATION

1
22 Jan 2020

Block-wise Scrambled Image Recognition Using Adaptation Network

21 Jan 2020MADONOKOUKI/Block-wise-Scrambled-Image-Recognition

In this study, a perceptually hidden object-recognition method is investigated to generate secure images recognizable by humans but not machines.

IMAGE CLASSIFICATION OBJECT RECOGNITION

0
21 Jan 2020

Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale

21 Jan 2020JimmyCai91/DeepLesionAnnotation

To demonstrate the benefits of our approach, we show that lesion detectors trained on our harvested lesions can significantly outperform the same variants only trained on the original annotations, with boost of average precision of 7% to 10%.

1
21 Jan 2020

AutoMATES: Automated Model Assembly from Text, Equations, and Software

21 Jan 2020ml4ai/automates

Models of complicated systems can be represented in different ways - in scientific papers, they are represented using natural language text as well as equations.

8
21 Jan 2020

TEASER: Fast and Certifiable Point Cloud Registration

21 Jan 2020MIT-SPARK/TEASER-plusplus

We propose the first fast and certifiable algorithm for the registration of two sets of 3D points in the presence of large amounts of outlier correspondences.

OBJECT DETECTION POINT CLOUD REGISTRATION

23
21 Jan 2020