{"list":"other","total":56,"rows":[{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1409.4842","title":"Going Deeper with Convolutions","created":"2014-09-17","cited_by_count":4241},{"id":"1904.03582","title":"Multi-Label Image Recognition with Graph Convolutional Networks","created":"2019-04-07","cited_by_count":322},{"id":"1805.07932","title":"Bilinear Attention Networks","created":"2018-05-21","cited_by_count":280},{"id":"1703.04394","title":"Zero-Shot Learning -- The Good, the Bad and the Ugly","created":"2017-03-13","cited_by_count":255},{"id":"1301.3666","title":"Zero-Shot Learning Through Cross-Modal Transfer","created":"2013-01-16","cited_by_count":237},{"id":"1604.04573","title":"CNN-RNN: A Unified Framework for Multi-label Image Classification","created":"2016-04-15","cited_by_count":190},{"id":"1503.08677","title":"Label-Embedding for Image Classification","created":"2015-03-30","cited_by_count":165},{"id":"1312.5650","title":"Zero-Shot Learning by Convex Combination of Semantic Embeddings","created":"2013-12-19","cited_by_count":135},{"id":"1704.08345","title":"Semantic Autoencoder for Zero-Shot Learning","created":"2017-04-26","cited_by_count":133},{"id":"1603.08895","title":"Latent Embeddings for Zero-shot Classification","created":"2016-03-29","cited_by_count":129},{"id":"1902.09720","title":"Learning a Deep ConvNet for Multi-label Classification with Partial Labels","created":"2019-02-26","cited_by_count":124},{"id":"1701.01619","title":"Learning From Noisy Large-Scale Datasets With Minimal Supervision","created":"2017-01-06","cited_by_count":115},{"id":"1603.00550","title":"Synthesized Classifiers for Zero-Shot Learning","created":"2016-03-02","cited_by_count":113},{"id":"1712.01381","title":"A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts","created":"2017-12-04","cited_by_count":96},{"id":"2106.09708","title":"Multi-Label Learning from Single Positive Labels","created":"2021-06-17","cited_by_count":81},{"id":"1711.06526","title":"Multi-Label Zero-Shot Learning with Structured Knowledge Graphs","created":"2017-11-17","cited_by_count":72},{"id":"1307.5101","title":"Large-scale Multi-label Learning with Missing Labels","created":"2013-07-18","cited_by_count":58},{"id":"2007.01755","title":"Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition","created":"2020-07-03","cited_by_count":50},{"id":"1312.4894","title":"Deep Convolutional Ranking for Multilabel Image Annotation","created":"2013-12-17","cited_by_count":47},{"id":"1507.00825","title":"Ridge Regression, Hubness, and Zero-Shot Learning","created":"2015-07-03","cited_by_count":44},{"id":"1511.04512","title":"Zero-Shot Learning via Joint Latent Similarity Embedding","created":"2015-11-14","cited_by_count":39},{"id":"2206.03740","title":"Large Loss Matters in Weakly Supervised Multi-Label Classification","created":"2022-06-08","cited_by_count":38},{"id":"2211.10681","title":"Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning","created":"2022-11-19","cited_by_count":37},{"id":"2004.14795","title":"A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion","created":"2020-04-30","cited_by_count":31},{"id":"2307.01750","title":"SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection","created":"2023-07-04","cited_by_count":28},{"id":"2108.09301","title":"Discriminative Region-based Multi-Label Zero-Shot Learning","created":"2021-08-20","cited_by_count":27},{"id":"2105.05926","title":"Semantic Diversity Learning for Zero-Shot Multi-label Classification","created":"2021-05-12","cited_by_count":24},{"id":"2106.13044","title":"Personalized Federated Learning with Contextualized Generalization","created":"2021-06-24","cited_by_count":23},{"id":"1603.08754","title":"Multi-Cue Zero-Shot Learning with Strong Supervision","created":"2016-03-29","cited_by_count":22},{"id":"1607.08085","title":"Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification","created":"2016-07-27","cited_by_count":22},{"id":"1605.09759","title":"Fast Zero-Shot Image Tagging","created":"2016-05-31","cited_by_count":21},{"id":"2106.06195","title":"MlTr: Multi-label Classification with Transformer","created":"2021-06-11","cited_by_count":21},{"id":"2203.03483","title":"Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention","created":"2022-03-07","cited_by_count":21},{"id":"1904.06254","title":"AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning","created":"2019-04-12","cited_by_count":19},{"id":"1904.00170","title":"Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition","created":"2019-03-30","cited_by_count":18},{"id":"1904.06187","title":"Position-Aware Convolutional Networks for Traffic Prediction","created":"2019-04-12","cited_by_count":18},{"id":"2203.06127","title":"Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations","created":"2022-03-11","cited_by_count":17},{"id":"2212.09458","title":"Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning","created":"2022-12-19","cited_by_count":17},{"id":"2302.04453","title":"Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning","created":"2023-02-09","cited_by_count":17},{"id":"2305.01239","title":"DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning","created":"2023-05-02","cited_by_count":17},{"id":"2104.05668","title":"Learning Robust Visual-semantic Mapping for Zero-shot Learning","created":"2021-04-12","cited_by_count":16},{"id":"2212.03537","title":"Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning","created":"2022-12-07","cited_by_count":16},{"id":"1904.00172","title":"EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach","created":"2019-03-30","cited_by_count":15},{"id":"2305.01236","title":"CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario","created":"2023-05-02","cited_by_count":15},{"id":"2208.12044","title":"Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network","created":"2022-08-21","cited_by_count":14},{"id":"2107.03163","title":"Mitigating Generation Shifts for Generalized Zero-Shot Learning","created":"2021-07-07","cited_by_count":13},{"id":"2308.10298","title":"Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning--Technical Report","created":"2023-08-20","cited_by_count":13},{"id":"1902.03047","title":"Collaboration based Multi-Label Learning","created":"2019-02-08","cited_by_count":11},{"id":"1802.01943","title":"Attribute-Guided Network for Cross-Modal Zero-Shot Hashing","created":"2018-02-06","cited_by_count":10},{"id":"1908.11503","title":"TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning","created":"2019-08-30","cited_by_count":10},{"id":"2302.04464","title":"Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models","created":"2023-02-09","cited_by_count":10},{"id":"2305.01245","title":"MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition","created":"2023-05-02","cited_by_count":10},{"id":"2305.11615","title":"SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization","created":"2023-05-19","cited_by_count":9},{"id":"2304.05361","title":"Asymmetric Polynomial Loss For Multi-Label Classification","created":"2023-04-10","cited_by_count":4}],"next_cursor":null}