Co-occurring keywords · papers mentioning both
Papers
PINet: Improving the Stability of Prototype Networks via Phantasia-Inspired Uncertain Representations
AAAI 2026
A Self-Denoising Model for Robust Few-Shot Relation Extraction
ACL 2025
Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin
WACV 2024
Hyperspherical Multi-Prototype with Optimal Transport for Event Argument Extraction
ACL 2024
LPNER: Label Prompt for Few-shot Nested Named Entity Recognition
ACML 2024
Robust Text Classification: Analyzing Prototype-Based Networks
EMNLP 2024
SimpliMix: A Simplified Manifold Mixup for Few-Shot Point Cloud Classification
WACV 2024
Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection
AAAI 2024
Concept-level Debugging of Part-Prototype Networks
ICLR 2023
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks
ICCV 2023
Few-Shot Medical Image Segmentation With Cycle-Resemblance Attention
WACV 2023
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging
MIDL 2023
Rethinking Safe Semi-supervised Learning: Transferring the Open-set Problem to A Close-set One
ICCV 2023
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes
ICLR 2023
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction
ACL 2022
Few-shot Learning via Dirichlet Tessellation Ensemble
ICLR 2022
Hybrid Graph Neural Networks for Few-Shot Learning
AAAI 2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors
ACL 2022
Dual Progressive Prototype Network for Generalized Zero-Shot Learning
NeurIPS 2021
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
NeurIPS 2021
Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition
ACML 2021
Attribute Prototype Network for Zero-Shot Learning
NeurIPS 2020
Variational Metric Scaling for Metric-Based Meta-Learning
AAAI 2020
Hyperspherical Prototype Networks
NeurIPS 2019