SOTAVerified

Data-free Knowledge Distillation

Papers

Showing 4150 of 75 papers

TitleStatusHype
Explicit and Implicit Knowledge Distillation via Unlabeled Data0
Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification0
FedD2S: Personalized Data-Free Federated Knowledge Distillation0
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks0
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning0
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks0
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation0
Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks0
Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data0
Mitigating Cross-client GANs-based Attack in Federated Learning0
Show:102550
← PrevPage 5 of 8Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GOLD (T5-base)Accuracy91.7Unverified
2ZeroGen (T5-base)Accuracy88.5Unverified
3ProGen (T5-base)Accuracy85.9Unverified
4Prompt2Model (T5-base)Accuracy62.2Unverified
#ModelMetricClaimedVerifiedStatus
1GOLD (T5-base)Exact Match75.2Unverified
2Prompt2Model (T5-base)Exact Match74.4Unverified
3ZeroGen (T5-base)Exact Match69.4Unverified
4ProGen (T5-base)Exact Match68.1Unverified