Jingwen Ye

papers

828

total citations

papers (17)

Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching

ECCV 2024arXiv

citations

Ungeneralizable Examples

CVPR 2024arXiv

citations

StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization

ICML 2024arXiv

citations

Heavy Labels Out! Dataset Distillation with Label Space Lightening

ICCV 2025arXiv

citations

Distilled Datamodel with Reverse Gradient Matching

CVPR 2024arXiv

citations

Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models

NEURIPS 2025arXiv

citations

Slimmable Dataset Condensation

CVPR 2023

citations

Jingwen Ye

papers (17)

Dataset Distillation via Factorization

Deep Model Reassembly

Factorizing Knowledge in Neural Networks

Online Knowledge Distillation for Efficient Pose Estimation

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

Learning with Recoverable Forgetting

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation

DEPARA: Deep Attribution Graph for Deep Knowledge Transferability

Partial Network Cloning

Mutual-Modality Adversarial Attack with Semantic Perturbation

Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching

Ungeneralizable Examples

StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization

Heavy Labels Out! Dataset Distillation with Label Space Lightening

Distilled Datamodel with Reverse Gradient Matching

Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models

Slimmable Dataset Condensation

papers (17)

Dataset Distillation via Factorization

Deep Model Reassembly

Factorizing Knowledge in Neural Networks

Online Knowledge Distillation for Efficient Pose Estimation

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

Learning with Recoverable Forgetting

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation

DEPARA: Deep Attribution Graph for Deep Knowledge Transferability

Partial Network Cloning

Mutual-Modality Adversarial Attack with Semantic Perturbation

Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching

Ungeneralizable Examples

StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization

Heavy Labels Out! Dataset Distillation with Label Space Lightening

Distilled Datamodel with Reverse Gradient Matching

Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models

Slimmable Dataset Condensation