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 13511400 of 1864 papers

TitleStatusHype
Compositional Fine-Grained Low-Shot Learning0
Zero-Shot Recommender Systems0
Multiple-Input Multiple-Output Fusion Network For Generalized Zero-Shot Learning0
Continuous representations of intents for dialogue systems0
Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection0
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation0
One Model to Rule them All: Towards Zero-Shot Learning for Databases0
Dynamic VAEs with Generative Replay for Continual Zero-shot LearningCode0
A Framework for Unsupervised Classificiation and Data Mining of Tweets about Cyber Vulnerabilities0
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification0
Revisiting Document Representations for Large-Scale Zero-Shot LearningCode0
Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning RepresentationCode0
CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval0
Multi-target prediction for dummies using two-branch neural networks0
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource LanguagesCode0
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation0
Does language help generalization in vision models?Code0
Learning Robust Visual-semantic Mapping for Zero-shot Learning0
Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews0
Hippocampus-heuristic Character Recognition Network for Zero-shot Learning0
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning0
Low-Resource Neural Machine Translation for Southern African Languages0
Finding Spoiler Bias in Tweets by Zero-shot Learning and Knowledge Distilling from Neural Text SimplificationCode0
Universal Joy A Data Set and Results for Classifying Emotions Across Languages0
Towards Offensive Language Identification for Dravidian LanguagesCode0
Rectification-based Knowledge Retention for Continual Learning0
A Simple Approach for Zero-Shot Learning based on Triplet Distribution Embeddings0
Incrementally Zero-Shot Detection by an Extreme Value Analyzer0
Learning without Seeing nor Knowing: Towards Open Zero-Shot Learning0
Classifier Crafting: Turn Your ConvNet into a Zero-Shot Learner!0
Online Lifelong Generalized Zero-Shot LearningCode0
DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning0
Large-Scale Zero-Shot Image Classification from Rich and Diverse Textual Descriptions0
On Implicit Attribute Localization for Generalized Zero-Shot Learning0
Task Aligned Generative Meta-learning for Zero-shot Learning0
Performance Variability in Zero-Shot Classification0
Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification0
Zero-Shot Learning Based on Knowledge Sharing0
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives0
Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning0
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning0
Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases0
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval0
End-to-end Generative Zero-shot Learning via Few-shot LearningCode0
Adversarial Training of Variational Auto-encoders for Continual Zero-shot Learning(A-CZSL)Code0
Zero-shot Learning with Deep Neural Networks for Object Recognition0
Transductive Zero-Shot Learning by Decoupled Feature Generation0
Isometric Propagation Network for Generalized Zero-shot Learning0
Semantic Borrowing for Generalized Zero-Shot Learning0
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization0
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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
1ZLaPAccuracy76.3Unverified
2ZLaP*Accuracy76.3Unverified
#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