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https://deepai.org/publication/dual-progressive-prototype-network-for-generalized-zero-shot-learning Dual Progressive Prototype Network for Generalized Zero-Shot Learning | DeepAI Nov 3, 2021 - 11/03/21 - Generalized Zero-Shot Learning (GZSL) aims to recognize new categories with auxiliary semantic information,e.g., category attribut... zero shot learning dual progressive prototype network https://deepai.org/publication/context-aware-zero-shot-learning-for-object-recognition Context-Aware Zero-Shot Learning for Object Recognition | DeepAI Apr 24, 2019 - 04/24/19 - Zero-Shot Learning (ZSL) aims at classifying unlabeled objects by leveraging auxiliary knowledge, such as semantic representations... zero shot learning context aware object recognition deepai https://deepai.org/publication/cluster-based-contrastive-disentangling-for-generalized-zero-shot-learning Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning | DeepAI Mar 5, 2022 - 03/05/22 - Generalized Zero-Shot Learning (GZSL) aims to recognize both seen and unseen classes by training only the seen classes, in which t... zero shot learning cluster based contrastive generalized https://www.amazon.science/publications/a-multimodal-benchmark-and-improved-architecture-for-zero-shot-learning A multimodal benchmark and improved architecture for zero shot learning - Amazon Science In this work, we demonstrate that due to the inadequacies in the existing evaluation protocols and datasets, there is a need to revisit and comprehensively... zero shot learning https://deepai.org/publication/ontology-guided-semantic-composition-for-zero-shot-learning Ontology-guided Semantic Composition for Zero-Shot Learning | DeepAI Jun 30, 2020 - 06/30/20 - Zero-shot learning (ZSL) is a popular research problem that aims at predicting for those classes that have never appeared in the t... zero shot learning ontology guided semantic composition https://www.simplilearn.com/tutorials/generative-ai-tutorial/zero-shot-learning What is Zero-Shot Learning? Future of AI zero shot learning what is future of ai https://deepai.org/publication/ontozsl-ontology-enhanced-zero-shot-learning OntoZSL: Ontology-enhanced Zero-shot Learning | DeepAI Feb 15, 2021 - 02/15/21 - Zero-shot Learning (ZSL), which aims to predict for those classes that have never appeared in the training data, has arisen hot re... zero shot learning ontology enhanced deepai https://deepai.org/publication/isometric-propagation-network-for-generalized-zero-shot-learning Isometric Propagation Network for Generalized Zero-shot Learning | DeepAI Feb 3, 2021 - 02/03/21 - Zero-shot learning (ZSL) aims to classify images of an unseen class only based on a few attributes describing that class but no ac... zero shot learning isometric propagation network generalized https://openreview.net/forum?id=iQMvSh2QbK&referrer=%5Bthe%20profile%20of%20Muli%20Yang%5D(%2Fprofile%3Fid%3D~Muli_Yang1) A Decomposable Causal View of Compositional Zero-Shot Learning | OpenReview Composing and recognizing novel concepts that are combinations of known concepts, i.e., compositional generalization, is one of the greatest power of human... zero shot learning decomposable causal view compositional https://aclanthology.org/D15-1027/ A Model of Zero-Shot Learning of Spoken Language Understanding - ACL Anthology Majid Yazdani, James Henderson. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. 2015. zero shot learning spoken language model https://huggingface.co/papers/2202.07922 Paper page - ZeroGen: Efficient Zero-shot Learning via Dataset Generation Join the discussion on this paper page zero shot learning paper efficient via dataset https://deepai.org/publication/k-zsl-resources-for-knowledge-driven-zero-shot-learning K-ZSL: Resources for Knowledge-driven Zero-shot Learning | DeepAI Jun 29, 2021 - 06/29/21 - External knowledge (a.k.a side information) plays a critical role in zero-shot learning (ZSL) which aims to predict with unseen cl... zero shot learning resources for k zsl driven https://openreview.net/forum?id=Yc9Vh1nn-2I Revisiting Visual Product for Compositional Zero-Shot Learning | OpenReview The naive visual-only baseline when trained properly can surpass state-of-the-art performance on compositional zero-shot learning zero shot learning revisiting visual product compositional https://openreview.net/forum?id=h1zuM6cXpH&referrer=%5Bthe%20profile%20of%20Nihal%20V.%20Nayak%5D(%2Fprofile%3Fid%3D~Nihal_V._Nayak1) Zero-Shot Learning with Common Sense Knowledge Graphs | OpenReview Zero-shot learning relies on semantic class representations such as hand-engineered attributes or learned embeddings to predict classes without any labeled... zero shot learning common sense knowledge graphs openreview https://deepai.org/publication/knowledge-aware-zero-shot-learning-survey-and-perspective Knowledge-aware Zero-Shot Learning: Survey and Perspective | DeepAI Feb 26, 2021 - 02/26/21 - Zero-shot learning (ZSL) which aims at predicting classes that have never appeared during the training using external knowledge (a... zero shot learning knowledge aware survey perspective https://en.wikipedia.org/wiki/Zero-shot_learning Zero-shot learning - Wikipedia zero shot learning wikipedia https://deepai.org/publication/normalization-matters-in-zero-shot-learning Normalization Matters in Zero-Shot Learning | DeepAI Jun 19, 2020 - 06/19/20 - An ability to grasp new concepts from their descriptions is one of the key features of human intelligence, and zero-shot learning ... zero shot learning normalization matters deepai https://openreview.net/forum?id=VmFdXXpVx8 Anomaly Detection using Cascade Variational Autoencoder Coupled with Zero Shot Learning | OpenReview Detection of anomalies before they are included in the downstream diagnosis/prognosis models is an important criterion for maintaining the medical AI imaging... zero shot learning anomaly detection variational autoencoder https://openreview.net/forum?id=ZL-XYsDqfQz Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis | OpenReview Most of the existing algorithms for zero-shot classification problems typically rely on the attribute-based semantic relations among categories to realize the... https://openreview.net/forum?id=R1Rrb2d5BH EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection | OpenReview Detecting Human-Object Interactions (HOI) in zero-shot settings, where models must handle unseen classes, poses significant challenges. Existing methods that... https://github.com/enjeeneer/zero-shot-rl GitHub - enjeeneer/zero-shot-rl: VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning... VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024) - enjeeneer/zero-shot-rl https://aclanthology.org/2022.mwe-1.11/ Metaphor Detection for Low Resource Languages: From Zero-Shot to Few-Shot Learning in Middle High... Felix Schneider, Sven Sickert, Phillip Brandes, Sophie Marshall, Joachim Denzler. Proceedings of the 18th Workshop on Multiword Expressions @LREC2022. 2022. https://aclanthology.org/2023.findings-acl.246/ Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks - ACL Anthology Zhenhailong Wang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen, Heng Ji. Findings of the Association for Computational Linguistics: ACL 2023. 2023.