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 151200 of 1864 papers

TitleStatusHype
Generate, Transduct, Adapt: Iterative Transduction with VLMs0
Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic ComputingCode0
Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction0
A Statistical Theory of Contrastive Pre-training and Multimodal Generative AICode0
Hidden Entity Detection from GitHub Leveraging Large Language ModelsCode0
Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis0
Advanced Machine Learning Techniques for Social Support Detection on Social Media0
Holistic Semantic Representation for Navigational Trajectory GenerationCode1
Gaussian Masked Autoencoders0
A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and ChallengesCode4
LLMs & Legal Aid: Understanding Legal Needs Exhibited Through User Queries0
Beyond Image Classification: A Video Benchmark and Dual-Branch Hybrid Discrimination Framework for Compositional Zero-Shot Learning0
Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation0
Open-World Objectness Modeling Unifies Novel Object Detection0
Cross-Modal 3D Representation with Multi-View Images and Point Clouds0
LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning0
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models0
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting0
Improved Feature Generating Framework for Transductive Zero-shot Learning0
CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language ModelsCode1
Discriminative Image Generation with Diffusion Models for Zero-Shot Learning0
Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio0
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-TreesCode0
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language AlignmentCode0
Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization0
Adaptive Pruning for Large Language Models with Structural Importance Awareness0
Zero-Shot Image Moderation in Google Ads with LLM-Assisted Textual Descriptions and Cross-modal Co-embeddings0
Real Classification by Description: Extending CLIP's Limits of Part Attributes RecognitionCode0
CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels0
Enabling Low-Resource Language Retrieval: Establishing Baselines for Urdu MS MARCOCode0
A Simple and Efficient Baseline for Zero-Shot Generative Classification0
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning0
Discrepancy-Aware Attention Network for Enhanced Audio-Visual Zero-Shot Learning0
An Efficient Framework for Enhancing Discriminative Models via Diffusion TechniquesCode0
Zero-Shot Mono-to-Binaural Speech Synthesis0
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?Code0
Assessing Personalized AI Mentoring with Large Language Models in the Computing Field0
SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level promptingCode1
Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning0
Compositional Zero-Shot Learning with Contextualized Cues and Adaptive Contrastive Training0
Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling0
Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions0
DenseVLM: A Retrieval and Decoupled Alignment Framework for Open-Vocabulary Dense Prediction0
JAPAGEN: Efficient Few/Zero-shot Learning via Japanese Training Dataset Generation with LLMCode0
S^3: Synonymous Semantic Space for Improving Zero-Shot Generalization of Vision-Language Models0
KNN-MMD: Cross Domain Wireless Sensing via Local Distribution AlignmentCode1
Automated Medical Report Generation for ECG Data: Bridging Medical Text and Signal Processing with Deep LearningCode0
Unified Framework for Open-World Compositional Zero-shot LearningCode0
Diffusion in Zero-Shot Learning for Environmental AudioCode0
Expanding Event Modality Applications through a Robust CLIP-Based EncoderCode1
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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