DeepFork: Supervised Prediction of Information Diffusion in GitHub

17 Oct 2019akula01/DeepFork

To understand human influence, information spread and evolution of transmitted information among assorted users in GitHub, we developed a deep neural network model: DeepFork, a supervised machine learning based approach that aims to predict information diffusion in complex social networks; considering node as well as topological features.

LINK PREDICTION

1
17 Oct 2019

Convolutional Character Networks

17 Oct 2019MalongTech/research-charnet

We evaluate CharNet on three standard benchmarks, where it consistently outperforms the state-of-the-art approaches [25, 24] by a large margin, e. g., with improvements of 65. 33%->71. 08% (with generic lexicon) on ICDAR 2015, and 54. 0%->69. 23% on Total-Text, on end-to-end text recognition.

18
17 Oct 2019

Dropping forward-backward algorithms for feature selection

17 Oct 2019thunguyen177/dfb

In this era of big data, feature selection techniques, which have long been proven to simplify the model, makes the model more comprehensible, speed up the process of learning, have become more and more important.

FEATURE SELECTION

0
17 Oct 2019

Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization

17 Oct 2019sorooshafiee/Optimistic_Likelihoods

A fundamental problem arising in many areas of machine learning is the evaluation of the likelihood of a given observation under different nominal distributions.

0
17 Oct 2019

Using a KG-Copy Network for Non-Goal Oriented Dialogues

17 Oct 2019SmartDataAnalytics/KG-Copy_Network

Non-goal oriented, generative dialogue systems lack the ability to generate answers with grounded facts.

KNOWLEDGE GRAPHS

3
17 Oct 2019

Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification

16 Oct 2019opendenoising/interception_dataset

This paper proposes an upgraded electro-magnetic side-channel attack that automatically reconstructs the intercepted data.

DENOISING

0
16 Oct 2019

CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation

16 Oct 2019cswin/AWC

Our proposed CFEA is an interactive paradigm which presents an exquisite of collaborative adaptation through both adversarial learning and ensembling weights.

UNSUPERVISED DOMAIN ADAPTATION

6
16 Oct 2019

Root Mean Square Layer Normalization

16 Oct 2019bzhangGo/rmsnorm

RMSNorm regularizes the summed inputs to a neuron in one layer according to root mean square (RMS), giving the model re-scaling invariance property and implicit learning rate adaptation ability.

6
16 Oct 2019

LOST: A flexible framework for semi-automatic image annotation

16 Oct 2019l3p-cv/lost

In this paper we present a framework that allows for a quick and flexible design of semi-automatic annotation pipelines.

122
16 Oct 2019

A New Defense Against Adversarial Images: Turning a Weakness into a Strength

16 Oct 2019s-huu/TurningWeaknessIntoStrength

Natural images are virtually surrounded by low-density misclassified regions that can be efficiently discovered by gradient-guided search --- enabling the generation of adversarial images.

8
16 Oct 2019