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 12511300 of 1864 papers

TitleStatusHype
Light Field Super-Resolution With Zero-Shot Learning0
A Recipe For Arbitrary Text Style Transfer with Large Language Models0
Disentangling Semantic-to-visual Confusion for Zero-shot LearningCode0
Zero-sample surface defect detection and classification based on semantic feedback neural network0
Conterfactual Generative Zero-Shot Semantic Segmentation0
Towards User-Driven Neural Machine TranslationCode0
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural NetworksCode0
Learning from Multiple Noisy Partial LabelersCode0
Phase retrieval with physics informed zero-shot learning0
Multilingual Neural Semantic Parsing for Low-Resourced LanguagesCode0
Transferring Knowledge from Text to Video: Zero-Shot Anticipation for Procedural Actions0
How to Adapt Your Pretrained Multilingual Model to 1600 Languages0
Hardness Sampling for Self-Training Based Transductive Zero-Shot LearningCode0
Pho(SC)-CTC -- A Hybrid Approach Towards Zero-shot Word Image RecognitionCode0
pRSL: Interpretable Multi-label Stacking by Learning Probabilistic RulesCode0
GAN for Vision, KG for Relation: a Two-stage Deep Network for Zero-shot Action Recognition0
Compositional Fine-Grained Low-Shot Learning0
Zero-Shot Recommender Systems0
Multiple-Input Multiple-Output Fusion Network For Generalized Zero-Shot Learning0
Semantic Diversity Learning for Zero-Shot Multi-label ClassificationCode1
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation0
Continuous representations of intents for dialogue systems0
Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection0
One Model to Rule them All: Towards Zero-Shot Learning for Databases0
Learning Graph Embeddings for Open World Compositional Zero-Shot LearningCode1
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
CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval0
Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning RepresentationCode0
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
Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews0
Learning Robust Visual-semantic Mapping for Zero-shot Learning0
Zero-Shot Learning on 3D Point Cloud Objects and BeyondCode1
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt CollectionsCode1
Modern Hopfield Networks for Few- and Zero-Shot Reaction Template PredictionCode1
Hippocampus-heuristic Character Recognition Network for Zero-shot Learning0
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning0
Universal Joy A Data Set and Results for Classifying Emotions Across Languages0
Finding Spoiler Bias in Tweets by Zero-shot Learning and Knowledge Distilling from Neural Text SimplificationCode0
Towards Offensive Language Identification for Dravidian LanguagesCode0
Low-Resource Neural Machine Translation for Southern African Languages0
Rectification-based Knowledge Retention for Continual Learning0
Contrastive Embedding for Generalized Zero-Shot LearningCode1
A Simple Approach for Zero-Shot Learning based on Triplet Distribution Embeddings0
Incrementally Zero-Shot Detection by an Extreme Value Analyzer0
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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