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— Unverified Fill the Gap: Quantifying and Reducing the Modality Gap in Image-Text Representation Learning May 6, 2025 Representation Learning zero-shot-classification
— Unverified Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions Jul 1, 2020 General Classification image-classification
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— Unverified Large Language Models Can Be Used to Estimate the Latent Positions of Politicians Mar 21, 2023 Information Retrieval Retrieval
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— Unverified Large Language Models for EEG: A Comprehensive Survey and Taxonomy Jun 2, 2025 Diagnostic EEG
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— Unverified A Survey for Large Language Models in Biomedicine Aug 29, 2024 Diagnostic Drug Discovery
— Unverified Multi-target prediction for dummies using two-branch neural networks Apr 19, 2021 BIG-bench Machine Learning Matrix Completion
— Unverified IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers Nov 27, 2023 Caption Generation Image-text Retrieval
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— Unverified Imagination Based Sample Construction for Zero-Shot Learning Oct 29, 2018 Attribute Image Retrieval
— Unverified Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning Mar 24, 2019 Few-Shot Learning Generalized Zero-Shot Learning
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— Unverified Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning Sep 20, 2023 Audio captioning Caption Generation
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— Unverified Exploring Semantic Attributes from A Foundation Model for Federated Learning of Disjoint Label Spaces Aug 29, 2022 Attribute Federated Learning
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— Unverified Federated Zero-Shot Learning for Visual Recognition Sep 5, 2022 Federated Learning Zero-Shot Learning
— Unverified Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems Jan 31, 2022 Uncertainty Quantification Zero-Shot Learning
— Unverified Feasibility with Language Models for Open-World Compositional Zero-Shot Learning May 16, 2025 Attribute Compositional Zero-Shot Learning
— Unverified Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting Aug 1, 2021 Classification text-classification
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— Unverified Improving Facial Attribute Prediction using Semantic Segmentation Apr 27, 2017 Attribute Face Parsing
— Unverified Improving Generalization via Attribute Selection on Out-of-the-box Data Jul 26, 2019 Attribute Zero-Shot Learning
— Unverified Improving Generalized Zero-Shot Learning by Semantic Discriminator May 28, 2020 General Classification Generalized Zero-Shot Learning
— Unverified CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination Aug 18, 2024 Knowledge Distillation Transfer Learning
— Unverified Improving Predictor Reliability with Selective Recalibration Oct 7, 2024 zero-shot-classification Zero-Shot Learning
— Unverified Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification Jul 27, 2016 Attribute General Classification
— Unverified A Zero-Shot Classification Approach for a Word-Guessing Challenge Jun 27, 2022 Classification Language Modeling
— Unverified Fast Zero-Shot Image Tagging May 31, 2016 Multi-label zero-shot learning Zero-Shot Learning
— Unverified Improving Zero Shot Learning Baselines with Commonsense Knowledge Dec 11, 2020 Word Embeddings Zero-Shot Learning
— Unverified CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection May 6, 2025 Anomaly Detection Defect Detection
— Unverified 3D Compositional Zero-shot Learning with DeCompositional Consensus Nov 29, 2021 Benchmarking Compositional Zero-Shot Learning
— Unverified CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Jun 9, 2025 Classification Diagnostic
— Unverified Language Models as Zero-shot Visual Semantic Learners Jul 26, 2021 Object Object Recognition
— Unverified Large Language Models for Patient Comments Multi-Label Classification Oct 31, 2024 De-identification Few-Shot Learning
— Unverified 