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

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Showing 1001–1050 of 1864 papers

TitleStatusHype
Zero-Shot Kernel Learning—0
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review—0
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging—0
Zero-shot learning approach to adaptive Cybersecurity using Explainable AI—0
Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features—0
Zero-Shot Learning Based on Knowledge Sharing—0
Zero-Shot Learning by Generating Pseudo Feature Representations—0
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion—0
Zero-shot Learning for Grapheme to Phoneme Conversion with Language Ensemble—0
Zero-Shot Learning for Joint Intent and Slot Labeling—0
Zero Shot Learning for Multi-Modal Real Time Image Registration—0
Zero-Shot Learning for Obsolescence Risk Forecasting—0
Zero Shot Learning for Predicting Energy Usage of Buildings in Sustainable Design—0
Zero-Shot Learning for Semantic Utterance Classification—0
Zero-shot Learning for Speech Recognition with Universal Phonetic Model—0
Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature—0
Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations—0
Zero-Shot Learning of a Conditional Generative Adversarial Network for Data-Free Network Quantization—0
Zero-Shot Learning of Causal Models—0
Zero-shot Learning of Classifiers from Natural Language Quantification—0
Zero-shot Learning of Individualized Task Contrast Prediction from Resting-state Functional Connectomes—0
Zero-Shot Learning of Language Models for Describing Human Actions Based on Semantic Compositionality of Actions—0
Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics—0
Zero Shot Learning on Simulated Robots—0
Zero-Shot Learning Over Large Output Spaces : Utilizing Indirect Knowledge Extraction from Large Language Models—0
Zero-Shot Learning posed as a Missing Data Problem—0
Zero-Shot Learning to Manage a Large Number of Place-Specific Compressive Change Classifiers—0
Zero-Shot Learning via Category-Specific Visual-Semantic Mapping—0
Zero-Shot Learning via Class-Conditioned Deep Generative Models—0
Zero-Shot Learning via Joint Latent Similarity Embedding—0
Zero-Shot Learning via Latent Space Encoding—0
Zero Shot Learning via Multi-Scale Manifold Regularization—0
Zero-Shot Learning via Semantic Similarity Embedding—0
Zero-shot Learning via Shared-Reconstruction-Graph Pursuit—0
Zero-Shot Learning with Common Sense Knowledge Graphs—0
Complementary Attributes: A New Clue to Zero-Shot Learning—0
Zero-shot Learning with Deep Neural Networks for Object Recognition—0
Zero-Shot Learning with Generative Latent Prototype Model—0
Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings—0
Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model—0
Zero-Shot Learning with Multi-Battery Factor Analysis—0
Zero-shot Learning with Semantic Output Codes—0
Zero-Shot Learning with Sparse Attribute Propagation—0
Zero Shot Learning with the Isoperimetric Loss—0
Zero-shot meta-learning for small-scale data from human subjects—0
Zero-shot Microclimate Prediction with Deep Learning—0
Zero-Shot Mono-to-Binaural Speech Synthesis—0
Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation—0
Zero-Shot Object Detection—0
Zero-Shot Object Recognition by Semantic Manifold Distance—0
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All datasetsCUB-200-2011MedConceptsQASUN AttributeAwA2Caltech-101CIFAR-10CIFAR-100COCO-MLTDTDFGVC-AircraftFlowers-102Food-101

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ZeroDiffaverage top-1 classification accuracy87.5—Unverified
2DUETaverage top-1 classification accuracy72.3—Unverified
3Composeraverage top-1 classification accuracy69.4—Unverified
4HDC-ZSC-MLPaverage top-1 classification accuracy65.6—Unverified
5ZSL_TF-VAEGANaverage top-1 classification accuracy64.9—Unverified
6ZLaPAccuracy64.3—Unverified
7ZLaP*Accuracy64.2—Unverified
8HDC-ZSCaverage top-1 classification accuracy63.8—Unverified
9SPOTaverage top-1 classification accuracy62.9—Unverified
10f-VAEGAN-D2average top-1 classification accuracy61—Unverified
#ModelMetricClaimedVerifiedStatus
1dmis-lab/biobert-v1.1Accuracy26.15—Unverified
2meta-llama/Meta-Llama-3-8B-InstructAccuracy25.84—Unverified
3epfl-llm/meditron-7bAccuracy25.75—Unverified
4dmis-lab/meerkat-7b-v1.0Accuracy25.68—Unverified
5meta-llama/Meta-Llama-3-8B-InstructAccuracy25.65—Unverified
6HuggingFaceH4/zephyr-7b-betaAccuracy25.54—Unverified
7dmis-lab/biobert-v1.1Accuracy25.46—Unverified
8epfl-llm/meditron-70bAccuracy25.36—Unverified
9epfl-llm/meditron-70bAccuracy25.26—Unverified
10HuggingFaceH4/zephyr-7b-betaAccuracy25.06—Unverified
#ModelMetricClaimedVerifiedStatus
1ZeroDiffaverage top-1 classification accuracy77.3—Unverified
2SPOT (VAEGAN)average top-1 classification accuracy66.04—Unverified
3ZSL_TF-VAEGANaverage top-1 classification accuracy66—Unverified
4f-VAEGANaverage top-1 classification accuracy64.7—Unverified
5DUET (Ours)average top-1 classification accuracy64.4—Unverified
6LisGANaverage top-1 classification accuracy61.7—Unverified
7TCNaverage top-1 classification accuracy61.5—Unverified
8f-CLSWGANaverage top-1 classification accuracy60.8—Unverified
9Cycle-WGANaverage top-1 classification accuracy59.9—Unverified
#ModelMetricClaimedVerifiedStatus
1ZeroDiffaverage top-1 classification accuracy86.4—Unverified
2ZSL-KGaverage top-1 classification accuracy78.08—Unverified
3ZSL_TF-VAEGANaverage top-1 classification accuracy72.2—Unverified
4DUET (Ours)average top-1 classification accuracy69.9—Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy84—Unverified
2ZLaP*Accuracy83.1—Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy93.6—Unverified
2ZLaPAccuracy93.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy74.2—Unverified
2ZLaPAccuracy74—Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-B/16Average mAP60.17—Unverified
2ResNet-50Average mAP56.19—Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy51.2—Unverified
2ZLaP*Accuracy51—Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy29.1—Unverified
2ZLaP*Accuracy29—Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy75.9—Unverified
2ZLaP*Accuracy75.5—Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy87.9—Unverified
2ZLaPAccuracy87.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPTop 1 Accuracy72.1—Unverified
2ZLaP*Top 1 Accuracy72.1—Unverified
#ModelMetricClaimedVerifiedStatus
1HiTeAAccuracy21.7—Unverified
2HiTeAAccuracy0.46—Unverified
#ModelMetricClaimedVerifiedStatus
1HiTeAAccuracy37.4—Unverified
2HiTeAAccuracy0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1SPOTaverage top-1 classification accuracy71.9—Unverified
2ZSL_TF-VAEGANaverage top-1 classification accuracy70.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy90—Unverified
2ZLaP*Accuracy89—Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy71.8—Unverified
2ZLaPAccuracy71.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy71.4—Unverified
2ZLaPAccuracy71—Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy76.3—Unverified
2ZLaPAccuracy76.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP(ViT-B/16)Average mAP85.77—Unverified
2CLIP(ResNet-50)Average mAP84.3—Unverified
#ModelMetricClaimedVerifiedStatus
1ZSL-KGTop-160.54—Unverified
#ModelMetricClaimedVerifiedStatus
1zsl_ADAAverage Per-Class Accuracy70.9—Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy63.2—Unverified
#ModelMetricClaimedVerifiedStatus
1MSDAPearson correlation coefficient (PCC)0.52—Unverified
#ModelMetricClaimedVerifiedStatus
1SeViLAAccuracy72.3—Unverified
#ModelMetricClaimedVerifiedStatus
1M^2-EncoderAccuracy80.7—Unverified
#ModelMetricClaimedVerifiedStatus
1FrozenBiLMAccuracy51.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CZSLA-acc36—Unverified
#ModelMetricClaimedVerifiedStatus
1ZS3Netk=10 mIOU26.3—Unverified
#ModelMetricClaimedVerifiedStatus
1ZSL-KGAccuracy88.98—Unverified
#ModelMetricClaimedVerifiedStatus
1VideoChat2Accuracy40.6—Unverified