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 14511500 of 1864 papers

TitleStatusHype
Multi-Target Prediction: A Unifying View on Problems and Methods0
Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation0
Multi-Timescale Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning0
Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning0
NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics0
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science0
Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems0
Neighborhood Sensitive Mapping for Zero-Shot Classification using Independently Learned Semantic Embeddings0
Neural Cross-Lingual Entity Linking0
NLIP: Noise-robust Language-Image Pre-training0
Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis0
Non-intrusive Load Monitoring based on Self-supervised Learning0
Not just a matter of semantics: the relationship between visual similarity and semantic similarity0
FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models0
Obtaining referential word meanings from visual and distributional information: Experiments on object naming0
ODIN: On-demand Data Formulation to Mitigate Dataset Lock-in0
On Class Separability Pitfalls In Audio-Text Contrastive Zero-Shot Learning0
One Model to Rule them All: Towards Zero-Shot Learning for Databases0
On generalisability of segment anything model for nuclear instance segmentation in histology images0
On Implicit Attribute Localization for Generalized Zero-Shot Learning0
On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning0
On Parameter Tuning in Meta-learning for Computer Vision0
On The Ingredients of an Effective Zero-shot Semantic Parser0
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence0
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications0
On the Relationship Between Visual Attributes and Convolutional Networks0
Open Set Chinese Character Recognition using Multi-typed Attributes0
Open Set Domain Adaptation with Zero-shot Learning on Graph0
Open Vocabulary Extreme Classification Using Generative Models0
Open-World Objectness Modeling Unifies Novel Object Detection0
Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering0
Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Training0
Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning0
OTFusion: Bridging Vision-only and Vision-Language Models via Optimal Transport for Transductive Zero-Shot Learning0
Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection0
PAGAR: Taming Reward Misalignment in Inverse Reinforcement Learning-Based Imitation Learning with Protagonist Antagonist Guided Adversarial Reward0
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing0
PA Ph&Tech at SemEval-2022 Task 11: NER Task with Ensemble Embedding from Reinforcement Learning0
ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning0
Performance Assessment of ChatGPT vs Bard in Detecting Alzheimer's Dementia0
Performance Variability in Zero-Shot Classification0
Person Search by Text Attribute Query As Zero-Shot Learning0
PEVA-Net: Prompt-Enhanced View Aggregation Network for Zero/Few-Shot Multi-View 3D Shape Recognition0
PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models0
Phase retrieval with physics informed zero-shot learning0
Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing0
Pipeline Enabling Zero-shot Classification for Bangla Handwritten Grapheme0
PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models0
PoliPrompt: A High-Performance Cost-Effective LLM-Based Text Classification Framework for Political Science0
Political DEBATE: Efficient Zero-shot and Few-shot Classifiers for Political Text0
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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