SOTAVerified

Generalized Few-Shot Learning

Papers

Showing 1113 of 13 papers

TitleStatusHype
Generalized Zero- and Few-Shot Learning via Aligned Variational AutoencodersCode0
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent DetectionCode0
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent DetectionCode0
Show:102550
← PrevPage 2 of 2Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MVCNPer-Class Accuracy (1-shot)69.9Unverified
2CADA-VAEPer-Class Accuracy (1-shot)69.6Unverified
3DA-VAEPer-Class Accuracy (1-shot)68Unverified
4DRAGONPer-Class Accuracy (1-shot)67.1Unverified
5CA-VAEPer-Class Accuracy (1-shot)64Unverified
6REVISEPer-Class Accuracy (1-shot)56.1Unverified
#ModelMetricClaimedVerifiedStatus
1MVCNPer-Class Accuracy (1-shot)57.3Unverified
2CADA-VAEPer-Class Accuracy (1-shot)55.2Unverified
3CA-VAEPer-Class Accuracy (1-shot)50.6Unverified
4DA-VAEPer-Class Accuracy (1-shot)49.2Unverified
5REVISEPer-Class Accuracy (1-shot)36.3Unverified
#ModelMetricClaimedVerifiedStatus
1DRAGONPer-Class Accuracy (1-shot)41Unverified
2DA-VAEPer-Class Accuracy (1-shot)40.6Unverified
3CADA-VAEPer-Class Accuracy (1-shot)37.8Unverified
4CA-VAEPer-Class Accuracy (1-shot)37.8Unverified
5REVISEPer-Class Accuracy (1-shot)27.4Unverified