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 16511700 of 1864 papers

TitleStatusHype
Hyper-Process Model: A Zero-Shot Learning algorithm for Regression Problems based on Shape AnalysisCode0
Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features0
Zero-shot Learning for Speech Recognition with Universal Phonetic Model0
DEEP HIERARCHICAL MODEL FOR HIERARCHICAL SELECTIVE CLASSIFICATION AND ZERO SHOT LEARNING0
Correction Networks: Meta-Learning for Zero-Shot Learning0
From Classical to Generalized Zero-Shot Learning: a Simple Adaptation Process0
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation0
Multi-Target Prediction: A Unifying View on Problems and Methods0
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning InferenceCode0
Zero-shot User Intent Detection via Capsule Neural NetworksCode0
Compositional Learning for Human Object Interaction0
End-to-End Joint Semantic Segmentation of Actors and Actions in Video0
Towards Effective Deep Embedding for Zero-Shot Learning0
Open Set Chinese Character Recognition using Multi-typed Attributes0
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-ImportanceCode0
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection0
Attributes' Importance for Zero-Shot Pose-Classification Based on Wearable Sensors0
Multi-modal Cycle-consistent Generalized Zero-Shot LearningCode0
Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition0
Few-Shot Adaptation for Multimedia Semantic Indexing0
Selective Zero-Shot Classification with Augmented Attributes0
Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful0
Toward zero-shot Entity Recognition in Task-oriented Conversational Agents0
Zero-shot Learning of Classifiers from Natural Language Quantification0
Learning Simplifications for Specific Target Audiences0
Extracting Commonsense Properties from Embeddings with Limited Human GuidanceCode0
Global Semantic Consistency for Zero-Shot Learning0
GILE: A Generalized Input-Label Embedding for Text ClassificationCode0
One-Shot Unsupervised Cross Domain TranslationCode0
Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems0
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning0
Probabilistic AND-OR Attribute Grouping for Zero-Shot LearningCode0
Deep Mixture of Experts via Shallow EmbeddingCode0
Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification0
Learning to Promote Saliency DetectorsCode0
Rethinking Knowledge Graph Propagation for Zero-Shot LearningCode0
Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learning0
Progressive Ensemble Networks for Zero-Shot Recognition0
Sketch-a-Classifier: Sketch-based Photo Classifier Generation0
Visual Data Synthesis via GAN for Zero-Shot Video Classification0
Complementary Attributes: A New Clue to Zero-Shot Learning0
Zero-Shot Object Detection0
A Large-scale Attribute Dataset for Zero-shot LearningCode0
Hierarchical Novelty Detection for Visual Object Recognition0
Transductive Unbiased Embedding for Zero-Shot Learning0
Zero-shot Recognition via Semantic Embeddings and Knowledge GraphsCode0
Discriminative Learning of Latent Features for Zero-Shot RecognitionCode0
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel ConceptsCode0
Deep Multiple Instance Learning for Zero-shot Image TaggingCode0
Preserving Semantic Relations 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