Jingwen Ye | DeepAI

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∙ 05/31/2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization

Graph Neural Networks (GNNs) have emerged as a powerful category of lear...

0 Kaixuan Chen, et al. ∙

∙ 04/19/2023

Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate

Style transfer aims to render the style of a given image for style refer...

0 Songhua Liu, et al. ∙

∙ 03/19/2023

Partial Network Cloning

In this paper, we study a novel task that enables partial knowledge tran...

0 Jingwen Ye, et al. ∙

∙ 10/30/2022

Dataset Distillation via Factorization

In this paper, we study \xw{dataset distillation (DD)}, from a novel per...

0 Songhua Liu, et al. ∙

∙ 09/07/2022

A Survey of Neural Trees

Neural networks (NNs) and decision trees (DTs) are both popular models o...

0 Haoling Li, et al. ∙

∙ 07/17/2022

Learning with Recoverable Forgetting

Life-long learning aims at learning a sequence of tasks without forgetti...

0 Jingwen Ye, et al. ∙

∙ 07/13/2022

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation

One key challenge of exemplar-guided image generation lies in establishi...

0 Songhua Liu, et al. ∙

∙ 07/04/2022

Factorizing Knowledge in Neural Networks

In this paper, we explore a novel and ambitious knowledge-transfer task,...

0 Xingyi Yang, et al. ∙

∙ 05/05/2022

Spot-adaptive Knowledge Distillation

Knowledge distillation (KD) has become a well established paradigm for c...

5 Jie Song, et al. ∙

∙ 12/05/2021

Safe Distillation Box

Knowledge distillation (KD) has recently emerged as a powerful strategy ...

1 Jingwen Ye, et al. ∙

∙ 08/04/2021

Online Knowledge Distillation for Efficient Pose Estimation

Existing state-of-the-art human pose estimation methods require heavy co...

0 Zheng Li, et al. ∙

∙ 03/20/2020

Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN

Recent advances in deep learning have provided procedures for learning o...

0 Jingwen Ye, et al. ∙

∙ 03/17/2020

DEPARA: Deep Attribution Graph for Deep Knowledge Transferability

Exploring the intrinsic interconnections between the knowledge encoded i...

0 Jie Song, et al. ∙

∙ 05/28/2019

Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers

Many well-trained Convolutional Neural Network(CNN) models have now been...

0 Jingwen Ye, et al. ∙

∙ 04/23/2019

Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More

In this paper, we investigate a novel deep-model reusing task. Our goal ...

0 Jingwen Ye, et al. ∙

∙ 05/11/2017

Neural Style Transfer: A Review

The recent work of Gatys et al. demonstrated the power of Convolutional ...

0 Yongcheng Jing, et al. ∙

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