research
∙
09/07/2022
MSSPN: Automatic First Arrival Picking using Multi-Stage Segmentation Picking Network
Picking the first arrival times of prestack gathers is called First Arri...
share
research
∙
05/27/2022
Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture
Physics-informed neural networks (PINNs) are revolutionizing science and...
research
∙
02/09/2022
House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China
Confronted with the spatial heterogeneity of real estate market, some tr...
research
∙
09/21/2020
MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion
Multi-Focus Image Fusion (MFIF) is one of the promising techniques to ob...
research
∙
05/18/2020
Deep Convolutional Sparse Coding Networks for Image Fusion
Image fusion is a significant problem in many fields including digital p...
research
∙
03/05/2020
Beyond Application End-Point Results: Quantifying Statistical Robustness of MCMC Accelerators
Statistical machine learning often uses probabilistic algorithms, such a...
research
∙
11/16/2018
Analyzing Compositionality-Sensitivity of NLI Models
Success in natural language inference (NLI) should require a model to un...
research
∙
09/17/2018
Commonsense for Generative Multi-Hop Question Answering Tasks
Reading comprehension QA tasks have seen a recent surge in popularity, y...
research
∙
06/12/2018
Qiniu Submission to ActivityNet Challenge 2018
In this paper, we introduce our submissions for the tasks of trimmed act...
research
∙
04/17/2018