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06/01/2023
MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding
Monitoring animal behavior can facilitate conservation efforts by provid...
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05/08/2023
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition
Long-tailed multi-label visual recognition (LTML) task is a highly chall...
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02/27/2023
Towards Interpretable Federated Learning
Federated learning (FL) enables multiple data owners to build machine le...
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01/28/2023
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning
Since random initial models in Federated Learning (FL) can easily result...
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12/05/2022
HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation
Federated learning (FL) has been recognized as a privacy-preserving dist...
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11/20/2022
Algorithmic Decision-Making Safeguarded by Human Knowledge
Commercial AI solutions provide analysts and managers with data-driven b...
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08/16/2022
FedMR: Fedreated Learning via Model Recombination
As a promising privacy-preserving machine learning method, Federated Lea...
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06/01/2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
Self-supervised learning for computer vision has achieved tremendous pro...
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05/24/2022
FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment
Along with the popularity of Artificial Intelligence (AI) and Internet-o...
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02/23/2022
FedCAT: Towards Accurate Federated Learning via Device Concatenation
As a promising distributed machine learning paradigm, Federated Learning...
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03/17/2020
Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks
Materials representation plays a key role in machine learning based pred...
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02/26/2020
Machine Learning based prediction of noncentrosymmetric crystal materials
Noncentrosymmetric materials play a critical role in many important appl...
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11/12/2019
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials
A major challenge in materials design is how to efficiently search the v...
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02/04/2019
A nonlinear hyperelasticity model for single layer blue phosphorus based on ab-initio calculations
A new hyperelastic membrane material model is proposed for single layer ...
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04/06/2017
