SOTAVerified

Zero-Shot Learning

Zero-shot learning (ZSL) is a model's ability to detect classes never seen during training. The condition is that the classes are not known during supervised learning.

Earlier work in zero-shot learning use attributes in a two-step approach to infer unknown classes. In the computer vision context, more recent advances learn mappings from image feature space to semantic space. Other approaches learn non-linear multimodal embeddings. In the modern NLP context, language models can be evaluated on downstream tasks without fine tuning.

Benchmark datasets for zero-shot learning include aPY, AwA, and CUB, among others.

( Image credit: Prototypical Networks for Few shot Learning in PyTorch )

Further readings:

Papers

Showing 17511800 of 1864 papers

TitleStatusHype
Sampling Matters in Deep Embedding LearningCode1
Zero-Shot Relation Extraction via Reading ComprehensionCode1
Generative-Discriminative Variational Model for Visual Recognition0
Learning Structured Semantic Embeddings for Visual Recognition0
Zero-Shot Learning with Generative Latent Prototype Model0
Semantic Softmax Loss for Zero-Shot Learning0
From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis0
Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learningCode0
Improving Facial Attribute Prediction using Semantic Segmentation0
Semantic Autoencoder for Zero-Shot LearningCode0
Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories0
Semantically Consistent Regularization for Zero-Shot RecognitionCode0
A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment0
Transductive Zero-Shot Learning with a Self-training dictionary approach0
Transductive Zero-Shot Learning with Adaptive Structural Embedding0
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes0
No Fuss Distance Metric Learning using ProxiesCode1
Zero-Shot Learning by Generating Pseudo Feature Representations0
Zero-Shot Recognition using Dual Visual-Semantic Mapping Paths0
Prototypical Networks for Few-shot LearningCode2
Zero-Shot Learning -- The Good, the Bad and the UglyCode0
DeMIAN: Deep Modality Invariant Adversarial Network0
Tinkering Under the Hood: Interactive Zero-Shot Learning with Net Surgery0
Zero-Shot Learning posed as a Missing Data Problem0
Learning Deep Parsimonious RepresentationsCode0
Label Embedding for Zero-shot Fine-grained Named Entity Typing0
Exploring Distributional Representations and Machine Translation for Aspect-based Cross-lingual Sentiment Classification.0
Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives0
Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation0
Learning Joint Feature Adaptation for Zero-Shot Recognition0
Learning a Deep Embedding Model for Zero-Shot LearningCode0
Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition0
Local Similarity-Aware Deep Feature Embedding0
Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning0
Zero Shot Hashing0
Hard Negative Mining for Metric Learning Based Zero-Shot Classification0
Infinite-Label Learning with Semantic Output Codes0
Detecting Visually Relevant Sentences for Fine-Grained Classification0
Improving Zero-Shot-Learning for German Particle Verbs by using Training-Space Restrictions and Local Scaling0
Attribute Learning for Network Intrusion Detection0
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification0
Collaborative Training of Tensors for Compositional Distributional Semantics0
Zero-Shot Visual Recognition via Bidirectional Latent Embedding0
Zero-Shot Learning with Multi-Battery Factor Analysis0
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method0
Multi-Label Zero-Shot Learning via Concept Embedding0
Fast Zero-Shot Image Tagging0
Semi-supervised Zero-Shot Learning by a Clustering-based Approach0
Neighborhood Sensitive Mapping for Zero-Shot Classification using Independently Learned Semantic Embeddings0
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ZeroDiffaverage top-1 classification accuracy87.5Unverified
2DUETaverage top-1 classification accuracy72.3Unverified
3Composeraverage top-1 classification accuracy69.4Unverified
4HDC-ZSC-MLPaverage top-1 classification accuracy65.6Unverified
5ZSL_TF-VAEGANaverage top-1 classification accuracy64.9Unverified
6ZLaPAccuracy64.3Unverified
7ZLaP*Accuracy64.2Unverified
8HDC-ZSCaverage top-1 classification accuracy63.8Unverified
9SPOTaverage top-1 classification accuracy62.9Unverified
10f-VAEGAN-D2average top-1 classification accuracy61Unverified
#ModelMetricClaimedVerifiedStatus
1dmis-lab/biobert-v1.1Accuracy26.15Unverified
2meta-llama/Meta-Llama-3-8B-InstructAccuracy25.84Unverified
3epfl-llm/meditron-7bAccuracy25.75Unverified
4dmis-lab/meerkat-7b-v1.0Accuracy25.68Unverified
5meta-llama/Meta-Llama-3-8B-InstructAccuracy25.65Unverified
6HuggingFaceH4/zephyr-7b-betaAccuracy25.54Unverified
7dmis-lab/biobert-v1.1Accuracy25.46Unverified
8epfl-llm/meditron-70bAccuracy25.36Unverified
9epfl-llm/meditron-70bAccuracy25.26Unverified
10HuggingFaceH4/zephyr-7b-betaAccuracy25.06Unverified
#ModelMetricClaimedVerifiedStatus
1ZeroDiffaverage top-1 classification accuracy77.3Unverified
2SPOT (VAEGAN)average top-1 classification accuracy66.04Unverified
3ZSL_TF-VAEGANaverage top-1 classification accuracy66Unverified
4f-VAEGANaverage top-1 classification accuracy64.7Unverified
5DUET (Ours)average top-1 classification accuracy64.4Unverified
6LisGANaverage top-1 classification accuracy61.7Unverified
7TCNaverage top-1 classification accuracy61.5Unverified
8f-CLSWGANaverage top-1 classification accuracy60.8Unverified
9Cycle-WGANaverage top-1 classification accuracy59.9Unverified
#ModelMetricClaimedVerifiedStatus
1ZeroDiffaverage top-1 classification accuracy86.4Unverified
2ZSL-KGaverage top-1 classification accuracy78.08Unverified
3ZSL_TF-VAEGANaverage top-1 classification accuracy72.2Unverified
4DUET (Ours)average top-1 classification accuracy69.9Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy84Unverified
2ZLaP*Accuracy83.1Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy93.6Unverified
2ZLaPAccuracy93.4Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy74.2Unverified
2ZLaPAccuracy74Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-B/16Average mAP60.17Unverified
2ResNet-50Average mAP56.19Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy51.2Unverified
2ZLaP*Accuracy51Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy29.1Unverified
2ZLaP*Accuracy29Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy75.9Unverified
2ZLaP*Accuracy75.5Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy87.9Unverified
2ZLaPAccuracy87.8Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPTop 1 Accuracy72.1Unverified
2ZLaP*Top 1 Accuracy72.1Unverified
#ModelMetricClaimedVerifiedStatus
1HiTeAAccuracy21.7Unverified
2HiTeAAccuracy0.46Unverified
#ModelMetricClaimedVerifiedStatus
1HiTeAAccuracy37.4Unverified
2HiTeAAccuracy0.56Unverified
#ModelMetricClaimedVerifiedStatus
1SPOTaverage top-1 classification accuracy71.9Unverified
2ZSL_TF-VAEGANaverage top-1 classification accuracy70.8Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy90Unverified
2ZLaP*Accuracy89Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy71.8Unverified
2ZLaPAccuracy71.2Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy71.4Unverified
2ZLaPAccuracy71Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy76.3Unverified
2ZLaPAccuracy76.3Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP(ViT-B/16)Average mAP85.77Unverified
2CLIP(ResNet-50)Average mAP84.3Unverified
#ModelMetricClaimedVerifiedStatus
1ZSL-KGTop-160.54Unverified
#ModelMetricClaimedVerifiedStatus
1zsl_ADAAverage Per-Class Accuracy70.9Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy63.2Unverified
#ModelMetricClaimedVerifiedStatus
1MSDAPearson correlation coefficient (PCC)0.52Unverified
#ModelMetricClaimedVerifiedStatus
1SeViLAAccuracy72.3Unverified
#ModelMetricClaimedVerifiedStatus
1M^2-EncoderAccuracy80.7Unverified
#ModelMetricClaimedVerifiedStatus
1FrozenBiLMAccuracy51.5Unverified
#ModelMetricClaimedVerifiedStatus
1CZSLA-acc36Unverified
#ModelMetricClaimedVerifiedStatus
1ZS3Netk=10 mIOU26.3Unverified
#ModelMetricClaimedVerifiedStatus
1ZSL-KGAccuracy88.98Unverified
#ModelMetricClaimedVerifiedStatus
1VideoChat2Accuracy40.6Unverified