SOTAVerified

Data-free Knowledge Distillation

Papers

Showing 41–50 of 75 papers

TitleStatusHype
NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging—0
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation—0
Explicit and Implicit Knowledge Distillation via Unlabeled Data—0
Synthetic data generation method for data-free knowledge distillation in regression neural networksCode0
Data-Free Knowledge Distillation via Feature Exchange and Activation Region ConstraintCode1
Completely Heterogeneous Federated Learning—0
ProGen: Progressive Zero-shot Dataset Generation via In-context FeedbackCode1
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation—0
Dynamic Data-Free Knowledge Distillation by Easy-to-Hard Learning StrategyCode0
Dense Depth Distillation with Out-of-Distribution Simulated Images—0
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Benchmark Results

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