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06/20/2023
InRank: Incremental Low-Rank Learning
The theory of greedy low-rank learning (GLRL) aims to explain the impres...
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01/17/2023
UMIRobot: An Open-Software, Hardware Low-Cost Robotic Manipulator for Education
Robot teleoperation has been studied for the past 70 years and is releva...
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11/28/2022
Incremental Fourier Neural Operator
Recently, neural networks have proven their impressive ability to solve ...
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10/25/2021
ZerO Initialization: Initializing Residual Networks with only Zeros and Ones
Deep neural networks are usually initialized with random weights, with a...
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10/10/2021
Transformer-based Dual Relation Graph for Multi-label Image Recognition
The simultaneous recognition of multiple objects in one image remains a ...
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09/08/2021
RGB-D Salient Object Detection with Ubiquitous Target Awareness
Conventional RGB-D salient object detection methods aim to leverage dept...
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06/26/2021
Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update
Representing deep neural networks (DNNs) in low-precision is a promising...
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09/18/2020
A Knowledge Graph based Approach for Mobile Application Recommendation
With the rapid prevalence of mobile devices and the dramatic proliferati...
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06/25/2020
Learning compositional functions via multiplicative weight updates
Compositionality is a basic structural feature of both biological and ar...
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05/30/2020
Is Depth Really Necessary for Salient Object Detection?
Salient object detection (SOD) is a crucial and preliminary task for man...
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05/07/2020
A Review of Computer Vision Methods in Network Security
Network security has become an area of significant importance more than ...
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10/11/2018
signSGD with Majority Vote is Communication Efficient And Byzantine Fault Tolerant
Training neural networks on large datasets can be accelerated by distrib...
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08/05/2018
