{"total":85,"rows":[{"id":"2105.03075","title":"A Survey of Data Augmentation Approaches for NLP","created":"2021-05-07","cited_by_count":409,"area":null},{"id":"2101.06395","title":"Free Lunch for Few-shot Learning: Distribution Calibration","created":"2021-01-16","cited_by_count":165,"area":null},{"id":"2205.06743","title":"A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities","created":"2022-05-13","cited_by_count":163,"area":null},{"id":"2107.03158","title":"A Survey on Data Augmentation for Text Classification","created":"2021-07-07","cited_by_count":111,"area":null},{"id":"2205.01491","title":"A Comprehensive Survey of Image Augmentation Techniques for Deep Learning","created":"2022-05-03","cited_by_count":97,"area":null},{"id":"2106.09859","title":"RSG: A Simple but Effective Module for Learning Imbalanced Datasets","created":"2021-06-18","cited_by_count":61,"area":null},{"id":"2107.07746","title":"Rectifying the Shortcut Learning of Background for Few-Shot Learning","created":"2021-07-16","cited_by_count":51,"area":null},{"id":"2105.01294","title":"Hallucination Improves Few-Shot Object Detection","created":"2021-05-04","cited_by_count":50,"area":null},{"id":"2204.04567","title":"Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification","created":"2022-04-09","cited_by_count":50,"area":null},{"id":"2212.01026","title":"Spectral Feature Augmentation for Graph Contrastive Learning and Beyond","created":"2022-12-02","cited_by_count":49,"area":null},{"id":"2205.02918","title":"Generating Representative Samples for Few-Shot Classification","created":"2022-05-05","cited_by_count":39,"area":null},{"id":"2304.00946","title":"MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition","created":"2023-04-03","cited_by_count":37,"area":null},{"id":"2308.03063","title":"M$^3$Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition","created":"2023-08-06","cited_by_count":34,"area":null},{"id":"2204.00949","title":"Matching Feature Sets for Few-Shot Image Classification","created":"2022-04-02","cited_by_count":25,"area":null},{"id":"2207.09176","title":"Self-Supervision Can Be a Good Few-Shot Learner","created":"2022-07-19","cited_by_count":19,"area":null},{"id":"2202.09059","title":"Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning","created":"2022-02-18","cited_by_count":16,"area":null},{"id":"2307.12168","title":"Hallucination Improves the Performance of Unsupervised Visual Representation Learning","created":"2023-07-22","cited_by_count":16,"area":null},{"id":"2101.09499","title":"Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning","created":"2021-01-23","cited_by_count":15,"area":null},{"id":"2203.15239","title":"Enabling hand gesture customization on wrist-worn devices","created":"2022-03-29","cited_by_count":15,"area":null},{"id":"2210.04144","title":"Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport","created":"2022-10-09","cited_by_count":14,"area":null},{"id":"2206.04846","title":"Masked Autoencoders are Robust Data Augmentors","created":"2022-06-10","cited_by_count":13,"area":null},{"id":"2109.12548","title":"Disentangled Feature Representation for Few-shot Image Classification","created":"2021-09-26","cited_by_count":12,"area":null},{"id":"2207.09963","title":"Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry","created":"2022-07-20","cited_by_count":12,"area":null},{"id":"2203.13465","title":"CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification","created":"2022-03-25","cited_by_count":9,"area":null},{"id":"2304.06136","title":"AGI for Agriculture","created":"2023-04-12","cited_by_count":9,"area":null},{"id":"2403.18708","title":"Dense Vision Transformer Compression with Few Samples","created":"2024-03-27","cited_by_count":9,"area":null},{"id":"2101.11753","title":"ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification","created":"2021-01-28","cited_by_count":8,"area":null},{"id":"2105.11874","title":"Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images","created":"2021-05-25","cited_by_count":8,"area":null},{"id":"2109.05719","title":"Fine-Grained Few Shot Learning with Foreground Object Transformation","created":"2021-09-13","cited_by_count":7,"area":null},{"id":"2205.09229","title":"PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners","created":"2022-05-18","cited_by_count":7,"area":null},{"id":"2211.15320","title":"RankDNN: Learning to Rank for Few-shot Learning","created":"2022-11-28","cited_by_count":7,"area":null},{"id":"2303.09677","title":"Instance-Conditioned GAN Data Augmentation for Representation Learning","created":"2023-03-16","cited_by_count":7,"area":null},{"id":"2304.11275","title":"Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition","created":"2023-04-21","cited_by_count":7,"area":null},{"id":"2106.05321","title":"Tensor feature hallucination for few-shot learning","created":"2021-06-09","cited_by_count":6,"area":null},{"id":"2112.02763","title":"MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples","created":"2021-12-06","cited_by_count":6,"area":null},{"id":"2304.13287","title":"ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning","created":"2023-04-26","cited_by_count":6,"area":null},{"id":"2109.05602","title":"Good-Enough Example Extrapolation","created":"2021-09-12","cited_by_count":5,"area":null},{"id":"2206.11573","title":"Few-Shot Non-Parametric Learning with Deep Latent Variable Model","created":"2022-06-23","cited_by_count":5,"area":null},{"id":"2210.13749","title":"AugCSE: Contrastive Sentence Embedding with Diverse Augmentations","created":"2022-10-20","cited_by_count":5,"area":null},{"id":"2409.19210","title":"Learning to Obstruct Few-Shot Image Classification over Restricted Classes","created":"2024-09-28","cited_by_count":5,"area":null},{"id":"2101.05018","title":"Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition","created":"2021-01-13","cited_by_count":4,"area":null},{"id":"2106.14467","title":"Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning","created":"2021-06-28","cited_by_count":4,"area":null},{"id":"2112.07224","title":"Exploring Category-correlated Feature for Few-shot Image Classification","created":"2021-12-14","cited_by_count":4,"area":null},{"id":"2211.16019","title":"PatchMix Augmentation to Identify Causal Features in Few-shot Learning","created":"2022-11-29","cited_by_count":4,"area":null},{"id":"2309.01342","title":"Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification","created":"2023-09-04","cited_by_count":4,"area":null},{"id":"2401.07208","title":"Enhanced Few-Shot Class-Incremental Learning via Ensemble Models","created":"2024-01-14","cited_by_count":4,"area":null},{"id":"2105.04113","title":"Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning","created":"2021-05-10","cited_by_count":3,"area":null},{"id":"2202.02471","title":"Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach","created":"2022-02-05","cited_by_count":3,"area":null},{"id":"2204.10689","title":"Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition","created":"2022-04-22","cited_by_count":3,"area":null},{"id":"2210.02021","title":"Exploring Effective Knowledge Transfer for Few-shot Object Detection","created":"2022-10-05","cited_by_count":3,"area":null},{"id":"2310.03517","title":"PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification","created":"2023-10-05","cited_by_count":3,"area":null},{"id":"2302.01806","title":"Mitigating Data Scarcity for Large Language Models","created":"2023-02-03","cited_by_count":2,"area":null},{"id":"2305.08721","title":"Learning More Discriminative Local Descriptors for Few-shot Learning","created":"2023-05-15","cited_by_count":2,"area":null},{"id":"2312.05449","title":"TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-shot Image Classification","created":"2023-12-09","cited_by_count":2,"area":null},{"id":"2503.14430","title":"Joint Image-Instance Spatial-Temporal Attention for Few-shot Action Recognition","created":"2025-03-11","cited_by_count":2,"area":null},{"id":"2506.08906","title":"Hyperbolic Dual Feature Augmentation for Open-Environment","created":"2025-06-10","cited_by_count":2,"area":null},{"id":"2104.09467","title":"Few-shot learning via tensor hallucination","created":"2021-04-19","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":"2201.03043","title":"Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples","created":"2022-01-09","cited_by_count":1,"area":null},{"id":"2310.07801","title":"Trajectory-aware Principal Manifold Framework for Data Augmentation and Image Generation","created":"2023-07-30","cited_by_count":1,"area":null},{"id":"2401.07061","title":"Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition","created":"2024-01-13","cited_by_count":1,"area":null},{"id":"2402.18292","title":"FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation","created":"2024-02-28","cited_by_count":1,"area":null},{"id":"2403.03535","title":"Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications","created":"2024-03-06","cited_by_count":1,"area":null},{"id":"2407.01967","title":"Harnessing the Power of Local Representations for Few-Shot Classification","created":"2024-07-02","cited_by_count":1,"area":null},{"id":"2604.14958","title":"Frequency-Enhanced Dual-Subspace Networks for Few-Shot Fine-Grained Image Classification","created":"2026-04-16","cited_by_count":1,"area":null},{"id":"2107.05583","title":"Few-shot Learning with Global Relatedness Decoupled-Distillation","created":"2021-07-12","cited_by_count":0,"area":null},{"id":"2111.08419","title":"Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples","created":"2021-11-16","cited_by_count":0,"area":null},{"id":"2112.12359","title":"Dual Path Structural Contrastive Embeddings for Learning Novel Objects","created":"2021-12-23","cited_by_count":0,"area":null},{"id":"2204.13361","title":"It's DONE: Direct ONE-shot learning with quantile weight imprinting","created":"2022-04-28","cited_by_count":0,"area":null},{"id":"2205.14643","title":"Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning","created":"2022-05-29","cited_by_count":0,"area":null},{"id":"2207.07110","title":"Fine-grained Few-shot Recognition by Deep Object Parsing","created":"2022-07-14","cited_by_count":0,"area":null},{"id":"2207.10271","title":"DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta","created":"2022-07-21","cited_by_count":0,"area":null},{"id":"2210.07076","title":"Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets","created":"2022-10-13","cited_by_count":0,"area":null},{"id":"2212.06416","title":"One-shot Machine Teaching: Cost Very Few Examples to Converge Faster","created":"2022-12-13","cited_by_count":0,"area":null},{"id":"2304.13963","title":"Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learning","created":"2023-04-27","cited_by_count":0,"area":null},{"id":"2305.02382","title":"Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations","created":"2023-05-03","cited_by_count":0,"area":null},{"id":"2305.03058","title":"Plug-and-Play Multilingual Few-shot Spoken Words Recognition","created":"2023-05-03","cited_by_count":0,"area":null},{"id":"2405.06383","title":"How to Augment for Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models?","created":"2024-05-10","cited_by_count":0,"area":null},{"id":"2408.05953","title":"A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class","created":"2024-08-12","cited_by_count":0,"area":null},{"id":"2409.14141","title":"A Feature Generator for Few-Shot Learning","created":"2024-09-21","cited_by_count":0,"area":null},{"id":"2504.00174","title":"MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices","created":"2025-03-31","cited_by_count":0,"area":null},{"id":"2509.16363","title":"Introducing Resizable Region Packing Problem in Image Generation, with a Heuristic Solution","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2601.17905","title":"Feature-Space Generative Models for One-Shot Class-Incremental Learning","created":"2026-01-25","cited_by_count":0,"area":null},{"id":"2602.00114","title":"Can One-Shot Test-Time Data Augmentation Help with Generalization?","created":"2026-01-27","cited_by_count":0,"area":null},{"id":"2606.21289","title":"Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers","created":"2026-06-19","cited_by_count":0,"area":null}],"next_cursor":null}