SOTAVerified

Data-free Knowledge Distillation

Papers

Showing 5160 of 75 papers

TitleStatusHype
Distilling Vision-Language Foundation Models: A Data-Free Approach via Prompt Diversification0
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
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation0
CAE-DFKD: Bridging the Transferability Gap in Data-Free Knowledge Distillation0
NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging0
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning0
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier0
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts0
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt0
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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