Neural Variational Inference for Text Processing

19 Nov 20154 code implementations

We validate this framework on two very different text modelling applications, generative document modelling and supervised question answering.

ANSWER SELECTION

Perturbative Neural Networks

CVPR 2018 3 code implementations

Convolutional neural networks are witnessing wide adoption in computer vision systems with numerous applications across a range of visual recognition tasks.

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

31 May 20162 code implementations

To ensure a fair comparison, all of the approaches were implemented using a unified code library that includes 11 feature extraction algorithms and 22 metric learning and ranking techniques.

METRIC LEARNING PERSON RE-IDENTIFICATION

AirLab: Autograd Image Registration Laboratory

26 Jun 20183 code implementations

With the "Autograd Image Registration Laboratory" (AirLab), we introduce an open laboratory for image registration tasks, where the analytic gradients of the objective function are computed automatically and the device where the computations are performed, on a CPU or a GPU, is transparent.

IMAGE REGISTRATION MEDICAL IMAGE REGISTRATION

Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?

NeurIPS 2018 1 code implementation

This paper seeks to answer the question: as the (near-) orthogonality of weights is found to be a favorable property for training deep convolutional neural networks, how can we enforce it in more effective and easy-to-use ways?

Can We Gain More from Orthogonality Regularizations in Training Deep Networks?

NeurIPS 2018 1 code implementation

This paper seeks to answer the question: as the (near-) orthogonality of weights is found to be a favorable property for training deep convolutional neural networks, how can we enforce it in more effective and easy-to-use ways?

Generative Synthesis of Insurance Datasets

5 Dec 20192 code implementations

One of the impediments in advancing actuarial research and developing open source assets for insurance analytics is the lack of realistic publicly available datasets.

Fleet Prognosis with Physics-informed Recurrent Neural Networks

16 Jan 20191 code implementation

The results demonstrate that our proposed hybrid physics-informed recurrent neural network is able to accurately model fatigue crack growth even when the observed distribution of crack length does not match with the (unobservable) fleet distribution.

Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings

12 Jun 20191 code implementation

Recent advances in Neural Variational Inference allowed for a renaissance in latent variable models in a variety of domains involving high-dimensional data.

KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS LINK PREDICTION

Using deep Q-learning to understand the tax evasion behavior of risk-averse firms

29 Jan 20181 code implementation

By doing so, we i) determine the tax evasion behavior expected of the taxpayer entity, ii) calculate the degree of risk aversion of the "average" entity given empirical estimates of tax evasion, and iii) evaluate sample tax policies, in terms of expected revenues.

Q-LEARNING