SOTAVerified

Data-free Knowledge Distillation

Papers

Showing 3140 of 75 papers

TitleStatusHype
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion AugmentationCode0
Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks0
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
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning0
Data-free Knowledge Distillation for Fine-grained Visual CategorizationCode0
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts0
GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation0
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge DistillationCode0
Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge DistillationCode0
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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