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04/08/2023
Importance Sampling BRDF Derivatives
We propose a set of techniques to efficiently importance sample the deri...
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08/18/2022
Robust Causal Graph Representation Learning against Confounding Effects
The prevailing graph neural network models have achieved significant pro...
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04/12/2022
CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection
Compared with unimodal data, multimodal data can provide more features t...
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12/01/2020
Seasonal association between viral etiologies of hospitalized acute lower respiratory infections and meteorological factors in China
Background: Acute lower respiratory infections present pronounced season...
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09/10/2020
5G meets Construction Machines: Towards a Smart working Site
The fleet management of mobile working machines with the help of connect...
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11/19/2019
Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition
We propose a new building block, IdleBlock, which naturally prunes conne...
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09/14/2019
Biometric Blockchain: A Secure Solution for Intelligent Vehicle Data Sharing
The intelligent vehicle (IV) has become a promising technology that coul...
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07/21/2019
Biometric Blockchain: A Better Solution for the Security and Trust of Food Logistics
Blockchain has been emerging as a promising technology that could totall...
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04/10/2019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
In natural images, information is conveyed at different frequencies wher...
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12/03/2015
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
MXNet is a multi-language machine learning (ML) library to ease the deve...
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05/05/2015
Empirical Evaluation of Rectified Activations in Convolutional Network
In this paper we investigate the performance of different types of recti...
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06/10/2014
Generative Adversarial Networks
We propose a new framework for estimating generative models via an adver...
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07/01/2013
Challenges in Representation Learning: A report on three machine learning contests
The ICML 2013 Workshop on Challenges in Representation Learning focused ...
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06/12/2013