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 651700 of 1864 papers

TitleStatusHype
An Effective Approach to Embedding Source Code by Combining Large Language and Sentence Embedding Models0
Deep learning for fast segmentation and critical dimension metrology & characterization enabling AR/VR design and fabrication0
Enhancing Synthetic Training Data for Speech Commands: From ASR-Based Filtering to Domain Adaptation in SSL Latent Space0
Benchmarking LLMs in Political Content Text-Annotation: Proof-of-Concept with Toxicity and Incivility Data0
Can Large Language Models Grasp Event Signals? Exploring Pure Zero-Shot Event-based RecognitionCode0
Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations0
An Art-centric perspective on AI-based content moderation of nudity0
Analysis of Socially Unacceptable Discourse with Zero-shot LearningCode0
Have Large Vision-Language Models Mastered Art History?0
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning0
Large Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Learning0
Political DEBATE: Efficient Zero-shot and Few-shot Classifiers for Political Text0
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding AlignmentCode0
PoliPrompt: A High-Performance Cost-Effective LLM-Based Text Classification Framework for Political Science0
Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular DataCode0
EEG-Language Modeling for Pathology Detection0
Image-to-Lidar Relational Distillation for Autonomous Driving Data0
RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning0
Multi-label Zero-Shot Audio Classification with Temporal Attention0
Focus-Consistent Multi-Level Aggregation for Compositional Zero-Shot Learning0
Adapting Vision-Language Models to Open Classes via Test-Time Prompt TuningCode0
A Survey for Large Language Models in Biomedicine0
Visual Prompt Engineering for Medical Vision Language Models in Radiology0
Single Image Denoising via a New Lightweight Learning-Based ModelCode0
ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning0
Online Zero-Shot Classification with CLIPCode0
Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery0
On Class Separability Pitfalls In Audio-Text Contrastive Zero-Shot Learning0
Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning0
PRG: Prompt-Based Distillation Without Annotation via Proxy Relational Graph0
FIDAVL: Fake Image Detection and Attribution using Vision-Language ModelCode0
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning0
Memorization in In-Context Learning0
XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-RaysCode0
Exploring Large Language Models for Feature Selection: A Data-centric Perspective0
Enabling Small Models for Zero-Shot Selection and Reuse through Model Label Learning0
A Review of Human-Object Interaction Detection0
Cross-composition Feature Disentanglement for Compositional Zero-shot Learning0
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs0
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination0
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning0
Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical ImagingCode0
Zero-Shot Learning and Key Points Are All You Need for Automated Fact-CheckingCode0
Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series0
A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-ShotCode0
On zero-shot learning in neural state estimation of power distribution systemsCode0
Efficient Test-Time Prompt Tuning for Vision-Language Models0
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models0
ChatGPT Meets Iris Biometrics0
LLM-based MOFs Synthesis Condition Extraction using Few-Shot Demonstrations0
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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