{"total":87,"rows":[{"id":"2104.00308","title":"Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation","created":"2021-04-01","cited_by_count":137,"area":null},{"id":"2102.01987","title":"Learning Graph Embeddings for Compositional Zero-shot Learning","created":"2021-02-03","cited_by_count":112,"area":null},{"id":"2201.01490","title":"Debiased Learning from Naturally Imbalanced Pseudo-Labels","created":"2022-01-05","cited_by_count":85,"area":null},{"id":"2105.13137","title":"Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future","created":"2021-05-27","cited_by_count":67,"area":null},{"id":"2209.13232","title":"A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective","created":"2022-09-27","cited_by_count":56,"area":null},{"id":"2212.02291","title":"I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification","created":"2022-12-05","cited_by_count":54,"area":null},{"id":"2105.01017","title":"Learning Graph Embeddings for Open World Compositional Zero-Shot Learning","created":"2021-05-03","cited_by_count":49,"area":null},{"id":"2308.15827","title":"Introducing Language Guidance in Prompt-based Continual Learning","created":"2023-08-30","cited_by_count":49,"area":null},{"id":"2102.07339","title":"OntoZSL: Ontology-enhanced Zero-shot Learning","created":"2021-02-15","cited_by_count":45,"area":null},{"id":"2103.00070","title":"Knowledge-aware Zero-Shot Learning: Survey and Perspective","created":"2021-02-26","cited_by_count":41,"area":null},{"id":"2108.12517","title":"SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation","created":"2021-08-27","cited_by_count":41,"area":null},{"id":"2111.08164","title":"A Survey on Neural-symbolic Learning Systems","created":"2021-11-10","cited_by_count":39,"area":null},{"id":"2112.09445","title":"Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation","created":"2021-12-17","cited_by_count":36,"area":null},{"id":"2212.04196","title":"Learning Domain Invariant Prompt for Vision-Language Models","created":"2022-12-08","cited_by_count":36,"area":"mllm"},{"id":"2210.08901","title":"Contrastive Language-Image Pre-Training with Knowledge Graphs","created":"2022-10-17","cited_by_count":34,"area":null},{"id":"2207.01328","title":"DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning","created":"2022-07-04","cited_by_count":33,"area":null},{"id":"2112.08643","title":"TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning","created":"2021-12-16","cited_by_count":28,"area":null},{"id":"2203.10444","title":"VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning","created":"2022-03-20","cited_by_count":27,"area":null},{"id":"2209.10304","title":"I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification","created":"2022-09-21","cited_by_count":27,"area":null},{"id":"2203.14250","title":"End-to-End Active Speaker Detection","created":"2022-03-27","cited_by_count":25,"area":null},{"id":"2110.02510","title":"Cycle Representation Learning for Inductive Relation Prediction","created":"2021-10-06","cited_by_count":23,"area":null},{"id":"2112.10006","title":"Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey","created":"2021-12-18","cited_by_count":23,"area":null},{"id":"2104.08945","title":"Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation","created":"2021-04-18","cited_by_count":22,"area":"distill"},{"id":"2202.12449","title":"Directed Graph Auto-Encoders","created":"2022-02-25","cited_by_count":22,"area":null},{"id":"2203.01386","title":"Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification","created":"2022-03-02","cited_by_count":21,"area":null},{"id":"2312.04076","title":"Large Language Models are Good Prompt Learners for Low-Shot Image Classification","created":"2023-12-07","cited_by_count":21,"area":null},{"id":"2203.16639","title":"FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations","created":"2022-03-30","cited_by_count":20,"area":null},{"id":"2409.17270","title":"Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning","created":"2024-09-25","cited_by_count":19,"area":"lr"},{"id":"2102.02038","title":"Isometric Propagation Network for Generalized Zero-shot Learning","created":"2021-02-03","cited_by_count":18,"area":null},{"id":"2112.09685","title":"Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers","created":"2021-12-17","cited_by_count":15,"area":null},{"id":"2308.10599","title":"Image-free Classifier Injection for Zero-Shot Classification","created":"2023-08-21","cited_by_count":15,"area":null},{"id":"2107.06154","title":"Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation","created":"2021-07-13","cited_by_count":14,"area":null},{"id":"2106.06410","title":"What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data","created":"2021-06-11","cited_by_count":10,"area":null},{"id":"2308.00574","title":"PVG: Progressive Vision Graph for Vision Recognition","created":"2023-08-01","cited_by_count":10,"area":null},{"id":"2104.10355","title":"Revisiting Document Representations for Large-Scale Zero-Shot Learning","created":"2021-04-21","cited_by_count":9,"area":null},{"id":"2201.06570","title":"BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR","created":"2022-01-17","cited_by_count":8,"area":null},{"id":"2206.03739","title":"Disentangled Ontology Embedding for Zero-shot Learning","created":"2022-06-08","cited_by_count":8,"area":null},{"id":"2306.09482","title":"Sample-Efficient Learning of Novel Visual Concepts","created":"2023-06-15","cited_by_count":8,"area":null},{"id":"2106.06307","title":"Survey of Image Based Graph Neural Networks","created":"2021-06-11","cited_by_count":7,"area":null},{"id":"2108.05010","title":"Prototype Completion for Few-Shot Learning","created":"2021-08-11","cited_by_count":7,"area":null},{"id":"2111.03651","title":"The Curious Layperson: Fine-Grained Image Recognition without Expert Labels","created":"2021-11-05","cited_by_count":7,"area":null},{"id":"2201.11794","title":"A Survey on Visual Transfer Learning using Knowledge Graphs","created":"2022-01-27","cited_by_count":7,"area":null},{"id":"2305.16681","title":"CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot Learning","created":"2023-05-26","cited_by_count":7,"area":null},{"id":"2106.15047","title":"Benchmarking Knowledge-driven Zero-shot Learning","created":"2021-06-29","cited_by_count":6,"area":null},{"id":"2207.01708","title":"Disentangled Action Recognition with Knowledge Bases","created":"2022-07-04","cited_by_count":6,"area":null},{"id":"2208.04165","title":"Neural Message Passing for Visual Relationship Detection","created":"2022-08-08","cited_by_count":6,"area":null},{"id":"2101.09892","title":"Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization","created":"2021-01-25","cited_by_count":5,"area":null},{"id":"2108.02235","title":"Dynamic Relevance Learning for Few-Shot Object Detection","created":"2021-08-04","cited_by_count":5,"area":null},{"id":"2307.12226","title":"Geometry-Aware Adaptation for Pretrained Models","created":"2023-07-23","cited_by_count":5,"area":null},{"id":"2206.07162","title":"Category-Agnostic 6D Pose Estimation with Conditional Neural Processes","created":"2022-06-14","cited_by_count":4,"area":null},{"id":"2403.07078","title":"Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning","created":"2024-03-11","cited_by_count":4,"area":null},{"id":"2407.15613","title":"Visual-Semantic Decomposition and Partial Alignment for Document-based Zero-Shot Learning","created":"2024-07-22","cited_by_count":4,"area":null},{"id":"2510.13675","title":"Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning","created":"2025-10-15","cited_by_count":4,"area":null},{"id":"2104.01832","title":"Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning","created":"2021-04-05","cited_by_count":3,"area":null},{"id":"2312.13219","title":"Interactive Visual Task Learning for Robots","created":"2023-12-20","cited_by_count":3,"area":null},{"id":"2403.12151","title":"Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification","created":"2024-03-18","cited_by_count":3,"area":null},{"id":"2405.16476","title":"KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation","created":"2024-05-26","cited_by_count":3,"area":null},{"id":"2505.22911","title":"Hierarchical Material Recognition from Local Appearance","created":"2025-05-28","cited_by_count":3,"area":null},{"id":"2603.28211","title":"Explaining CLIP Zero-shot Predictions Through Concepts","created":"2026-03-30","cited_by_count":3,"area":"mllm"},{"id":"2101.11354","title":"Combat Data Shift in Few-shot Learning with Knowledge Graph","created":"2021-01-27","cited_by_count":2,"area":null},{"id":"2106.04716","title":"Labeled Data Generation with Inexact Supervision","created":"2021-06-08","cited_by_count":2,"area":null},{"id":"2203.01482","title":"MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable Few-Shot Learning","created":"2022-03-03","cited_by_count":2,"area":null},{"id":"2210.02060","title":"Graph Classification via Discriminative Edge Feature Learning","created":"2022-10-05","cited_by_count":2,"area":null},{"id":"2210.06120","title":"Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning","created":"2022-10-11","cited_by_count":2,"area":null},{"id":"2212.13151","title":"Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning","created":"2022-12-26","cited_by_count":2,"area":null},{"id":"2303.14322","title":"Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) for Remote Land-use Change Detection","created":"2023-03-25","cited_by_count":2,"area":null},{"id":"2410.09908","title":"Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection","created":"2024-10-13","cited_by_count":2,"area":null},{"id":"2503.06847","title":"MADS: Multi-Attribute Document Supervision for Zero-Shot Image Classification","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2102.03137","title":"Zero-shot Learning with Deep Neural Networks for Object Recognition","created":"2021-02-05","cited_by_count":1,"area":null},{"id":"2104.00088","title":"Transfer Learning for Node Regression Applied to Spreading Prediction","created":"2021-03-31","cited_by_count":1,"area":null},{"id":"2105.10438","title":"Compositional Fine-Grained Low-Shot Learning","created":"2021-05-21","cited_by_count":1,"area":null},{"id":"2111.03317","title":"Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters","created":"2021-11-05","cited_by_count":1,"area":null},{"id":"2209.15454","title":"GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials","created":"2022-09-30","cited_by_count":1,"area":null},{"id":"2301.00236","title":"DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning","created":"2022-12-31","cited_by_count":1,"area":null},{"id":"2301.04824","title":"A Network Science perspective of Graph Convolutional Networks: A survey","created":"2023-01-12","cited_by_count":1,"area":null},{"id":"2306.08487","title":"Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation","created":"2023-06-14","cited_by_count":1,"area":null},{"id":"2307.12179","title":"Recognizing Unseen States of Unknown Objects by Leveraging Knowledge Graphs","created":"2023-07-22","cited_by_count":1,"area":null},{"id":"2411.02074","title":"GraphVL: Graph-Enhanced Semantic Modeling via Vision-Language Models for Generalized Class Discovery","created":"2024-11-04","cited_by_count":1,"area":"mllm"},{"id":"2102.11566","title":"Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning","created":"2021-02-23","cited_by_count":0,"area":null},{"id":"2105.04967","title":"Open Set Domain Recognition via Attention-Based GCN and Semantic Matching Optimization","created":"2021-05-11","cited_by_count":0,"area":null},{"id":"2107.11991","title":"What Remains of Visual Semantic Embeddings","created":"2021-07-26","cited_by_count":0,"area":null},{"id":"2205.13068","title":"Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes","created":"2022-05-25","cited_by_count":0,"area":null},{"id":"2206.01466","title":"Recognition of Unseen Bird Species by Learning from Field Guides","created":"2022-06-03","cited_by_count":0,"area":null},{"id":"2305.18731","title":"Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning","created":"2023-05-30","cited_by_count":0,"area":null},{"id":"2503.07202","title":"A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2507.02291","title":"Knowledge Graph-Based Explainable and Generalized Zero-Shot Semantic Communications","created":"2025-07-03","cited_by_count":0,"area":null},{"id":"2510.21808","title":"Semantic Relation-Enhanced CLIP Adapter for Domain Adaptive Zero-Shot Learning","created":"2025-10-21","cited_by_count":0,"area":null}],"next_cursor":null}