Few-Shot Inspired Generative Zero-Shot Learning | Paper Citation Record

Observation 602b3b8e-563b-4bd4-b4b6-d4fec8ef9b5c · outbound

This paper cites Zero-shot learning—a comprehensive evaluation of the good, the bad and the ugly.IEEE Trans.

Few-Shot Inspired Generative Zero-Shot Learning Zero-shot learning—a comprehensive evaluation of the good, the bad and the ugly.IEEE Trans

Reference 1

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Observation 02bcc145-0c62-406f-aafa-5429c6d8136f · outbound

This paper cites Attribute-based classification for zero-shot visual object categorization.IEEE Trans.

Few-Shot Inspired Generative Zero-Shot Learning Attribute-based classification for zero-shot visual object categorization.IEEE Trans

Reference 2

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Observation 4b81407f-c8c8-440d-b004-8b293387c028 · outbound

This paper cites A review of generalized zero-shot learning methods.IEEE Trans.

Few-Shot Inspired Generative Zero-Shot Learning A review of generalized zero-shot learning methods.IEEE Trans

Reference 3

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Observation 05ec5102-06ad-4a27-acdc-e1bdac35bfe9 · outbound

This paper cites Duet: Cross-modal semantic grounding for contrastive zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Duet: Cross-modal semantic grounding for contrastive zero-shot learning

Reference 4

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Observation 6456a1d9-e878-48af-95e0-f5cda13785e0 · outbound

This paper cites Generative adversarial networks.Commun.

Few-Shot Inspired Generative Zero-Shot Learning Generative adversarial networks.Commun

Reference 5

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Observation 5c5382fa-5faa-49d5-83a9-59fbafcb8eda · outbound

This paper cites Auto-Encoding Variational Bayes.

Few-Shot Inspired Generative Zero-Shot Learning Auto-Encoding Variational Bayes

Reference 6

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Observation 9ef786e2-79e3-4491-a11f-86ed7daf6405 · outbound

This paper cites Feature generating networks for zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Feature generating networks for zero-shot learning

Reference 7

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Observation 5de824b5-c3b2-4081-9a9c-b3543a5c7f95 · outbound

This paper cites Synthetic sample selection for generalized zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Synthetic sample selection for generalized zero-shot learning

Reference 8

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Observation 5ae10b39-a9f9-4a57-a80d-abcb2cda920e · outbound

This paper cites Sun attribute database: Discovering, annotating, and recognizing scene attributes.

Few-Shot Inspired Generative Zero-Shot Learning Sun attribute database: Discovering, annotating, and recognizing scene attributes

Reference 9

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Observation 7cbd72d5-c30d-43f0-8025-7b51d992a090 · outbound

This paper cites The caltech-ucsd birds-200- 2011 dataset, 2011.

Few-Shot Inspired Generative Zero-Shot Learning The caltech-ucsd birds-200- 2011 dataset, 2011

Reference 10

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Observation 005a8caa-0f7e-43e3-ac05-d0a20de41646 · outbound

This paper cites Preserving semantic relations for zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Preserving semantic relations for zero-shot learning

Reference 11

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Observation ce8fdab2-1862-42af-822b-35c6e8c5580b · outbound

This paper cites Explainable zero-shot learning via attentive graph convolutional network and knowledge graphs.Semant.

Few-Shot Inspired Generative Zero-Shot Learning Explainable zero-shot learning via attentive graph convolutional network and knowledge graphs.Semant

Reference 12

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Observation f7fb9062-f98f-4f58-b152-197acb16a647 · outbound

This paper cites Label-activating framework for zero-shot learning.Neural Netw., 121:1–9, 2020.

Few-Shot Inspired Generative Zero-Shot Learning Label-activating framework for zero-shot learning.Neural Netw., 121:1–9, 2020

Reference 13

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Observation 0e545b2b-c483-4f2a-8490-38899fafaa01 · outbound

This paper cites Co-representation network for generalized zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Co-representation network for generalized zero-shot learning

Reference 14

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Observation c001f11c-6e7e-4ae8-b3d0-a9cb9ca456fb · outbound

This paper cites Zero-shot learning via semantic similarity embedding.

Few-Shot Inspired Generative Zero-Shot Learning Zero-shot learning via semantic similarity embedding

Reference 15

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Observation e7969ecb-67f0-4aa2-96cd-f9d84c3443c8 · outbound

This paper cites f-vaegan-d2: A feature generating framework for any-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning f-vaegan-d2: A feature generating framework for any-shot learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:58.371261Z

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Observation e916b55f-1c3a-4511-b543-cd048214702f · outbound

This paper cites Free: Feature refinement for generalized zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Free: Feature refinement for generalized zero-shot learning

Reference 17

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Observation c8fafe02-40b5-4d94-884c-ece5fae8a87b · outbound

This paper cites ZeroGen: Efficient Zero-shot Learning via Dataset Generation.

Few-Shot Inspired Generative Zero-Shot Learning ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Reference 18

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Observation ca71a5df-3c67-46f2-9ca7-9e3c1b518dca · outbound

This paper cites Contrastive embedding for generalized zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Contrastive embedding for generalized zero-shot learning

Reference 19

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Observation c491a82f-3bfc-482d-a03b-db8451eaf9c8 · outbound

This paper cites Re-gzsl: Relation extrapolation for generalized zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Re-gzsl: Relation extrapolation for generalized zero-shot learning

Reference 20

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Observation 0af439fe-f17c-4f04-ae86-f1d5cf6c348c · outbound

This paper cites En- compactness: Self-distillation embedding & contrastive generation for generalized zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning En- compactness: Self-distillation embedding & contrastive generation for generalized zero-shot learning

Reference 21

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Observation 0103e6dd-6981-480c-9490-e54470909a09 · outbound

This paper cites Deep multimodal representation learning: A survey.Ieee Access, 7:63373–63394, 2019.

Few-Shot Inspired Generative Zero-Shot Learning Deep multimodal representation learning: A survey.Ieee Access, 7:63373–63394, 2019

Reference 22

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Observation 5a8af4f6-3c7a-4257-82b5-63b80a5abdd6 · outbound

This paper cites On the "steerability" of generative adversarial networks.

Few-Shot Inspired Generative Zero-Shot Learning On the "steerability" of generative adversarial networks

Reference 23

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Observation 5d556664-5f0e-42c9-a7fc-597c37bce827 · outbound

This paper cites Non-generative generalized zero-shot learning via task-correlated disentanglement and controllable samples synthesis.

Few-Shot Inspired Generative Zero-Shot Learning Non-generative generalized zero-shot learning via task-correlated disentanglement and controllable samples synthesis

Reference 24

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Observation ce1d24b0-6e7f-47c8-8993-909d35f6b501 · outbound

This paper cites No adversaries to zero-shot learning: Distilling an ensemble of gaussian feature generators.IEEE Trans.

Few-Shot Inspired Generative Zero-Shot Learning No adversaries to zero-shot learning: Distilling an ensemble of gaussian feature generators.IEEE Trans

Reference 25

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Observation d16585a8-4471-4af0-b00d-b7cf547e92e3 · outbound

This paper cites Compositional zero-shot learning via fine-grained dense feature composition.

Few-Shot Inspired Generative Zero-Shot Learning Compositional zero-shot learning via fine-grained dense feature composition

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:58.242747Z

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Observation 183402bf-9350-4713-ba32-7bcb53a8c31e · outbound

This paper cites Attribute-based synthetic network (abs-net): Learning more from pseudo feature representations.Pattern Recognit., 80:129–142, 2018.

Few-Shot Inspired Generative Zero-Shot Learning Attribute-based synthetic network (abs-net): Learning more from pseudo feature representations.Pattern Recognit., 80:129–142, 2018

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:58.225308Z

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Observation 98e4aba2-e798-4107-ad26-e275442b5144 · outbound

This paper cites Zero and few shot learning with semantic feature synthesis and competitive learning.IEEE Trans.

Few-Shot Inspired Generative Zero-Shot Learning Zero and few shot learning with semantic feature synthesis and competitive learning.IEEE Trans

Reference 28

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Observation 830621db-f254-4ee7-b012-8076debacc8e · outbound

This paper cites Adaptive and generative zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Adaptive and generative zero-shot learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:58.192668Z

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Observation fbb0caa4-822d-4b13-8912-22a4c3e1fd4a · outbound

This paper cites Zero-shot learning posed as a missing data problem.

Few-Shot Inspired Generative Zero-Shot Learning Zero-shot learning posed as a missing data problem

Reference 30

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Observation 04f5a40b-5be1-48bd-9b56-e74c2d2b479c · outbound

This paper cites Fine-grained generalized zero-shot learning via dense attribute-based attention.

Few-Shot Inspired Generative Zero-Shot Learning Fine-grained generalized zero-shot learning via dense attribute-based attention

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:58.161075Z

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Observation 167efdd6-d7ab-46e4-b4ce-a91970c75a52 · outbound

This paper cites Attribute prototype network for zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Attribute prototype network for zero-shot learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:58.145721Z

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Observation 6b7d0a45-342a-4b1c-89c2-14ac3ccef98c · outbound

This paper cites Semantic-guided multi-attention localization for zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Semantic-guided multi-attention localization for zero-shot learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:58.129108Z

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Observation 362d7ea3-f276-4a30-8b14-a3f0a6b6dc07 · outbound

This paper cites Transferable contrastive network for generalized zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Transferable contrastive network for generalized zero-shot learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:58.113176Z

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Observation 0e6184da-c7eb-4d42-8635-5ec756bc0ed9 · outbound

This paper cites Multi-Head Self-Attention via Vision Transformer for Zero-Shot Learning.

Few-Shot Inspired Generative Zero-Shot Learning Multi-Head Self-Attention via Vision Transformer for Zero-Shot Learning

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:49:57.742307Z

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Observation 77bc7a82-1b7a-49e0-b2c2-cf3b654e5738 · outbound

This paper cites Msdn: Mutually semantic distillation network for zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Msdn: Mutually semantic distillation network for zero-shot learning

Reference 36

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Observation 634ca970-f623-4a8b-bb58-0e6dbf5f83a9 · outbound

This paper cites Semantic-guided class-imbalance learning model for zero-shot image classification.IEEE Trans.

Few-Shot Inspired Generative Zero-Shot Learning Semantic-guided class-imbalance learning model for zero-shot image classification.IEEE Trans

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:58.082831Z

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Observation ee422e5e-eb39-4e51-9a66-09a6303e5192 · outbound

This paper cites Diversity-boosted generalization-specialization balancing for zero-shot learning.IEEE Trans.

Few-Shot Inspired Generative Zero-Shot Learning Diversity-boosted generalization-specialization balancing for zero-shot learning.IEEE Trans

Reference 38

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Observation d4edc25f-b7b5-43ab-8632-3828b66ced32 · outbound

This paper cites Prototype rectification for zero-shot learning.Pattern Recognit., 156:110750, 2024.

Few-Shot Inspired Generative Zero-Shot Learning Prototype rectification for zero-shot learning.Pattern Recognit., 156:110750, 2024

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Observation 23c5a88b-069b-4cbb-bef7-d9993797eaf4 · outbound

This paper cites Zs-vat: Learning unbiased attribute knowledge for zero-shot recognition through visual attribute transformer.IEEE Trans.

Few-Shot Inspired Generative Zero-Shot Learning Zs-vat: Learning unbiased attribute knowledge for zero-shot recognition through visual attribute transformer.IEEE Trans

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:58.036956Z

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Observation 6f73b78f-5fb4-4868-b7af-5fd9f9b51476 · outbound

This paper cites Generalized zero-shot learning via over-complete distribution.

Few-Shot Inspired Generative Zero-Shot Learning Generalized zero-shot learning via over-complete distribution

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:58.021532Z

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Observation 9d256cdc-9f68-41e3-aaab-b418a040c352 · outbound

This paper cites Latent embedding feedback and discriminative features for zero-shot classification.

Few-Shot Inspired Generative Zero-Shot Learning Latent embedding feedback and discriminative features for zero-shot classification

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:58.006425Z

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Observation c4fdfe93-faf7-482b-82df-11bfcdfb091e · outbound

This paper cites Hsva: Hierarchical semantic-visual adaptation for zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Hsva: Hierarchical semantic-visual adaptation for zero-shot learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:57.990341Z

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Observation 77649686-5e56-4bd5-b506-c24d65f36e1d · outbound

This paper cites Task aligned generative meta-learning for zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Task aligned generative meta-learning for zero-shot learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:57.973364Z

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Observation b7528840-311e-4614-ae80-906dd4ed645f · outbound

This paper cites Counterfactual zero-shot and open-set visual recognition.

Few-Shot Inspired Generative Zero-Shot Learning Counterfactual zero-shot and open-set visual recognition

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:57.956886Z

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Observation 07fdd758-3af9-43bc-b86e-43a26abc6dd7 · outbound

This paper cites Semantic feature extraction for generalized zero-shot learning.

Few-Shot Inspired Generative Zero-Shot Learning Semantic feature extraction for generalized zero-shot learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:57.940928Z

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Observation c901a988-d0a6-4c80-bb43-be3c3da4dee5 · outbound

This paper cites Learning mlatent representations for generalized zero-shot learning.IEEE Trans.

Few-Shot Inspired Generative Zero-Shot Learning Learning mlatent representations for generalized zero-shot learning.IEEE Trans

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:57.920749Z

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Observation 81db28c2-4f27-4a8e-b37d-1836db84d90b · outbound

This paper cites Dual-aligned feature confusion alleviation for generalized zero-shot learning.IEEE Trans.

Few-Shot Inspired Generative Zero-Shot Learning Dual-aligned feature confusion alleviation for generalized zero-shot learning.IEEE Trans

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:57.902698Z

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Observation b30abb4a-8bad-429b-847a-b04f7c4cf29f · outbound

This paper cites Zero-shot learning with attentive region embedding and enhanced semantics.IEEE Trans.

Few-Shot Inspired Generative Zero-Shot Learning Zero-shot learning with attentive region embedding and enhanced semantics.IEEE Trans

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:57.883726Z

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Observation 68cff158-967b-464e-8c6f-9da0fb8e62bd · outbound

This paper cites Joint feature generation and open-set prototype learning for generalized zero-shot open-set classification.Pattern Recognit., 147:110133, 2024.

Few-Shot Inspired Generative Zero-Shot Learning Joint feature generation and open-set prototype learning for generalized zero-shot open-set classification.Pattern Recognit., 147:110133, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:57.866956Z

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Observation fa71b328-3c12-4434-9669-339f9733ee15 · outbound

This paper cites Towards discriminative feature generation for generalized zero-shot learning.IEEE Trans.

Few-Shot Inspired Generative Zero-Shot Learning Towards discriminative feature generation for generalized zero-shot learning.IEEE Trans

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:57.848783Z

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Observation ac5089ee-20b4-4f71-bb25-7294c30b0284 · outbound

This paper cites Dual prototype contrastive network for generalized zero-shot learning.IEEE Trans.

Few-Shot Inspired Generative Zero-Shot Learning Dual prototype contrastive network for generalized zero-shot learning.IEEE Trans

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:57.831873Z

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Observation f5b1a625-3a53-4837-9538-14b5f43f1b99 · outbound

This paper cites Class-wise and instance-wise contrastive learning for zero-shot learning based on vaegan.Expert Syst.

Few-Shot Inspired Generative Zero-Shot Learning Class-wise and instance-wise contrastive learning for zero-shot learning based on vaegan.Expert Syst

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:49:57.814336Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation efe6fbbd-5e91-4737-a44a-2997fcb70733 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Few-Shot Inspired Generative Zero-Shot Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T19:49:57.668698Z

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