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 10011050 of 1864 papers

TitleStatusHype
See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data0
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP0
AutoHint: Automatic Prompt Optimization with Hint GenerationCode0
Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data0
Stay on topic with Classifier-Free Guidance0
Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity0
Is ChatGPT a Biomedical Expert? -- Exploring the Zero-Shot Performance of Current GPT Models in Biomedical TasksCode0
An Integral Projection-based Semantic Autoencoder for Zero-Shot LearningCode0
"Filling the Blanks'': Identifying Micro-activities that Compose Complex Human Activities of Daily Living0
Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy (with appendix)0
Assessing the Effectiveness of GPT-3 in Detecting False Political Statements: A Case Study on the LIAR DatasetCode0
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation0
Improving Zero-Shot Detection of Low Prevalence Chest Pathologies using Domain Pre-trained Language ModelsCode0
A Brief Review of Hypernetworks in Deep LearningCode0
LUT-GCE: Lookup Table Global Curve Estimation for Fast Low-light Image Enhancement0
Evolving Semantic Prototype Improves Generative Zero-Shot Learning0
Multi-level Protein Representation Learning for Blind Mutational Effect Prediction0
Analysis of the Fed's communication by using textual entailment model of Zero-Shot classification0
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work0
PAGAR: Taming Reward Misalignment in Inverse Reinforcement Learning-Based Imitation Learning with Protagonist Antagonist Guided Adversarial Reward0
SAM-helps-Shadow:When Segment Anything Model meet shadow removalCode0
Multi-level Cross-modal Feature Alignment via Contrastive Learning towards Zero-shot Classification of Remote Sensing Image ScenesCode0
Measuring the Robustness of NLP Models to Domain ShiftsCode0
Label Embedding via Low-Coherence Matrices0
Adapting Language-Audio Models as Few-Shot Audio Learners0
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification0
Universal Self-Adaptive Prompting0
EXnet: Efficient In-context Learning for Data-less Text classification0
LAraBench: Benchmarking Arabic AI with Large Language Models0
OverPrompt: Enhancing ChatGPT through Efficient In-Context LearningCode0
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science0
Are Large Language Models Robust Coreference Resolvers?Code0
A Rational Model of Dimension-reduced Human Categorization0
GPT-3.5, GPT-4, or BARD? Evaluating LLMs Reasoning Ability in Zero-Shot Setting and Performance Boosting Through Prompts0
Introspective Tips: Large Language Model for In-Context Decision Making0
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data0
Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning0
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception0
Boosting Visual-Language Models by Exploiting Hard SamplesCode0
Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts0
Analyzing Hong Kong's Legal Judgments from a Computational Linguistics point-of-view0
LLM2Loss: Leveraging Language Models for Explainable Model Diagnostics0
Unsupervised Improvement of Audio-Text Cross-Modal RepresentationsCode0
The Benefits of Label-Description Training for Zero-Shot Text ClassificationCode0
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning0
Company classification using zero-shot learning0
ZeroSearch: Local Image Search from Text with Zero Shot LearningCode0
RPLKG: Robust Prompt Learning with Knowledge Graph0
CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information RetrievalCode0
Information Extraction from Documents: Question Answering vs Token Classification in real-world setups0
Show:102550
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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