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Found 11 papers, 0 papers with code
ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations
Deep learning models rely on highly optimized tensor libraries for efficient inference on heterogeneous hardware.
The evolution of cooperation: an evolutionary advantage of individuals impedes the evolution of the population
Using a quantitative individual-based method based on the stochastic process, we identify that enhancing the inherent self-proliferation advantage of cooperators relative to defectors is a more effective channel to promote the evolution of cooperation in range expansion than weakening the benefit acquisition of defectors from cooperators.
Semiparametric Conditional Factor Models: Estimation and Inference
This paper introduces a simple and tractable sieve estimation of semiparametric conditional factor models with latent factors.
Self-organization principles of cell cycles and gene expressions in the development of cell populations
A big challenge in current biology is to understand the exact self-organization mechanism underlying complex multi-physics coupling developmental processes.
Spatial alignment, group strategy and non-kin selection enable the evolution of cooperation
This article considers a mechanism to explain the emergence and evolution of social cooperation.
PSF-LO: Parameterized Semantic Features Based Lidar Odometry
Lidar odometry (LO) is a key technology in numerous reliable and accurate localization and mapping systems of autonomous driving.
Map-Enhanced Ego-Lane Detection in the Missing Feature Scenarios
As one of the most important tasks in autonomous driving systems, ego-lane detection has been extensively studied and has achieved impressive results in many scenarios.
Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV
Unmanned Aerial Vehicles (UAVs), have intrigued different people from all walks of life, because of their pervasive computing capabilities.
Joint learning of frequency and word embeddings for multilingual readability assessment
This paper describes two models that employ word frequency embeddings to deal with the problem of readability assessment in multiple languages.
Focal Loss Dense Detector for Vehicle Surveillance
Deep learning has been widely recognized as a promising approach in different computer vision applications.
Designing a Disaster-resilient Network with Software Defined Networking
Our design consists of a sub-graph based proactive protection approach on the data plane and a splicing approach at the controller for effective restoration on the control plane.
Networking and Internet Architecture Distributed, Parallel, and Cluster Computing
