SOTAVerified

Data-free Knowledge Distillation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 75 papers

TitleStatusHype
Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification—0
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
Completely Heterogeneous Federated Learning—0
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
Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and FusionCode0
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature SharingCode0
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt—0
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks—0
Conditional Generative Data-free Knowledge Distillation—0
Data-Free Knowledge Transfer: A Survey—0
Towards Data-Free Domain GeneralizationCode0
Data-Free Knowledge Distillation for Image Super-ResolutionCode0
Dual Discriminator Adversarial Distillation for Data-free Model Compression—0
Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis—0
Generative Adversarial Simulator—0
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation—0
Robustness and Diversity Seeking Data-Free Knowledge DistillationCode0
Data-free Knowledge Distillation for Segmentation using Data-Enriching GANCode0
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier—0
Knowledge Extraction with No Observable DataCode0
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All datasetsQNLISQuAD

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