Zhenyi Wang | DeepAI

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∙ 08/31/2023

Continual Learning From a Stream of APIs

Continual learning (CL) aims to learn new tasks without forgetting previ...

0 Enneng Yang, et al. ∙

∙ 07/16/2023

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning

Forgetting refers to the loss or deterioration of previously acquired in...

0 Zhenyi Wang, et al. ∙

∙ 05/28/2023

Learning to Learn from APIs: Black-Box Data-Free Meta-Learning

Data-free meta-learning (DFML) aims to enable efficient learning of new ...

0 Zixuan Hu, et al. ∙

∙ 04/24/2023

Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models

Customers' load profiles are critical resources to support data analytic...

0 Zhenyi Wang, et al. ∙

∙ 03/20/2023

Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning

The goal of data-free meta-learning is to learn useful prior knowledge f...

0 Zixuan Hu, et al. ∙

∙ 09/03/2022

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions

The paradigm of machine intelligence moves from purely supervised learni...

0 Zhenyi Wang, et al. ∙

∙ 07/15/2022

Improving Task-free Continual Learning by Distributionally Robust Memory Evolution

Task-free continual learning (CL) aims to learn a non-stationary data st...

0 Zhenyi Wang, et al. ∙

∙ 02/18/2022

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network

Heterogeneous Graph Neural Network (HGNN) has been successfully employed...

18 Tianyu Zhao, et al. ∙

∙ 12/28/2021

Uncertainty Detection in EEG Neural Decoding Models

EEG decoding systems based on deep neural networks have been widely used...

0 Tiehang Duan, et al. ∙

∙ 09/29/2021

Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness

Recognizing new objects by learning from a few labeled examples in an ev...

0 Zhenyi Wang, et al. ∙

∙ 02/07/2021

Meta-Learning with Neural Tangent Kernels

Model Agnostic Meta-Learning (MAML) has emerged as a standard framework ...

0 Yufan Zhou, et al. ∙

∙ 09/20/2020

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference

The neural attention mechanism plays an important role in many natural l...

8 Bang An, et al. ∙

∙ 08/26/2020

A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo

In recent years, due to the mental burden of depression, the number of p...

0 Yiding Wang, et al. ∙

∙ 05/03/2020

Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints

Text generation from a knowledge base aims to translate knowledge triple...

0 Zhenyi Wang, et al. ∙

∙ 12/21/2019

Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions

Human-motion generation is a long-standing challenging task due to the r...

9 Zhenyi Wang, et al. ∙

∙ 07/18/2018

Location Augmentation for CNN

CNNs have made a tremendous impact on the field of computer vision in th...

1 Zhenyi Wang, et al. ∙

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