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 13011350 of 1864 papers

TitleStatusHype
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires0
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social MediaCode0
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework0
A Recipe For Arbitrary Text Style Transfer with Large Language Models0
Multi-Modal Zero-Shot Sign Language Recognition0
SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation0
Field-Guide-Inspired Zero-Shot LearningCode0
Structure-Aware Feature Generation for Zero-Shot Learning0
Towards Visual Explainable Active Learning for Zero-Shot Classification0
MeetSum: Transforming Meeting Transcript Summarization using Transformers!0
Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair RecognitionCode0
Fine-grained Event Classification in News-like Text Snippets - Shared Task 2, CASE 20210
Leveraging Type Descriptions for Zero-shot Named Entity Recognition and Classification0
CASE 2021 Task 2: Zero-Shot Classification of Fine-Grained Sociopolitical Events with Transformer Models0
Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting0
A New Split for Evaluating True Zero-Shot Action RecognitionCode0
What Remains of Visual Semantic Embeddings0
Language Models as Zero-shot Visual Semantic Learners0
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery0
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study0
Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains0
Zero-Shot Compositional Concept Learning0
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains0
Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision0
Mitigating Generation Shifts for Generalized Zero-Shot LearningCode0
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationCode0
Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methodsCode0
Recent Neural Methods on Dialogue State Tracking for Task-Oriented Dialogue Systems: A Survey0
Language-Level Semantics Conditioned 3D Point Cloud Segmentation0
Zero-shot Learning with Class Description RegularizationCode0
Generalized Zero-Shot Learning using Multimodal Variational Auto-Encoder with Semantic Concepts0
Zero-Shot Joint Modeling of Multiple Spoken-Text-Style Conversion Tasks using Switching Tokens0
STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text0
Zero-shot learning approach to adaptive Cybersecurity using Explainable AI0
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
Towards User-Driven Neural Machine TranslationCode0
Conterfactual Generative Zero-Shot Semantic Segmentation0
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural NetworksCode0
Phase retrieval with physics informed zero-shot learning0
Learning from Multiple Noisy Partial LabelersCode0
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
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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