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 15511600 of 1864 papers

TitleStatusHype
Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning0
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects0
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning0
Zero-shot Learning for Audio-based Music Classification and TaggingCode0
Zero-shot Word Sense Disambiguation using Sense Definition EmbeddingsCode0
Visual Space Optimization for Zero-shot Learning0
From Zero-Shot Learning to Cold-Start RecommendationCode0
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging0
Weakly Supervised Clustering by Exploiting Unique Class CountCode0
Representation Quality Of Neural Networks Links To Adversarial Attacks and DefencesCode0
Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing0
Joint Concept Matching based Learning for Zero-Shot Recognition0
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories0
From Fully Supervised to Zero Shot Settings for Twitter Hashtag Recommendation0
Task-Aware Feature Generation for Zero-Shot Compositional LearningCode0
Zero-Shot Image Classification Using Coupled Dictionary Embedding0
A Generative Framework for Zero-Shot Learning with Adversarial Domain AdaptationCode0
Large-Scale Multi-Label Text Classification on EU LegislationCode1
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks0
Zero-Shot Semantic SegmentationCode1
Dataset Mention Extraction and Classification0
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image TranslationCode0
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning0
Generalized Zero- and Few-Shot Learning via Aligned Variational AutoencodersCode0
Gradient Matching Generative Networks for Zero-Shot LearningCode0
Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification0
Large-Scale Few-Shot Learning: Knowledge Transfer With Class HierarchyCode0
Min-Max Statistical Alignment for Transfer Learning0
Attentive Region Embedding Network for Zero-Shot Learning0
Deep Asymmetric Metric Learning via Rich Relationship Mining0
Marginalized Latent Semantic Encoder for Zero-Shot Learning0
CLAREL: Classification via retrieval loss for zero-shot learning0
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical SystemsCode0
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation0
Leveraging Semantic Embeddings for Safety-Critical Applications0
Learning Visually Consistent Label Embeddings for Zero-Shot Learning0
Task-Driven Modular Networks for Zero-Shot Compositional LearningCode0
Unified Generator-Classifier for Efficient Zero-Shot Learning0
Deep Zero-Shot Learning for Scene Sketch0
Zero-Shot Audio Classification Based on Class Label Embeddings0
VHEGAN: Variational Hetero-Encoder Randomized GAN for Zero-Shot Learning0
Learning shared manifold representation of images and attributes for generalized zero-shot learning0
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models0
Context-Aware Zero-Shot Learning for Object Recognition0
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot LearningCode0
Context-Aware Zero-Shot RecognitionCode0
Semantically Aligned Bias Reducing Zero Shot Learning0
SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning0
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning0
TAFE-Net: Task-Aware Feature Embeddings for Low Shot LearningCode0
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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