Graph Meta Learning via Local Subgraphs Jun 14, 2020 Few-Shot Learning Meta-Learning
Code Code Available 5 Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Jun 30, 2022 Cross-Domain Few-Shot cross-domain few-shot learning
Code Code Available 5 Bias-Eliminated Semantic Refinement for Any-Shot Learning Feb 10, 2022 Few-Shot Learning Generalized Zero-Shot Learning
Code Code Available 5 AAPL: Adding Attributes to Prompt Learning for Vision-Language Models Apr 25, 2024 Data Augmentation Domain Generalization
Code Code Available 5 Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking? May 8, 2021 Dialogue State Tracking Few-Shot Learning
Code Code Available 5 Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery Mar 26, 2018 Few-Shot Image Classification Few-Shot Learning
Code Code Available 5 Structured Prediction for Conditional Meta-Learning Feb 20, 2020 Few-Shot Learning Meta-Learning
Code Code Available 5 Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation Mar 22, 2024 Few-Shot Learning In-Context Learning
Code Code Available 5 MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning Apr 10, 2020 Few-Shot Learning
Code Code Available 5 Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks Jun 22, 2021 Adversarial Robustness Classification
Code Code Available 5 Compositional Generalization for Primitive Substitutions Oct 7, 2019 Few-Shot Learning Machine Translation
Code Code Available 5 Adaptive Anchor Label Propagation for Transductive Few-Shot Learning Oct 30, 2023 Few-Shot Learning
Code Code Available 5 MAD: Meta Adversarial Defense Benchmark Sep 18, 2023 Adversarial Defense Few-Shot Learning
Code Code Available 5 A Statistical Model for Predicting Generalization in Few-Shot Classification Dec 13, 2022 Few-Shot Learning
Code Code Available 5 Compositional Clustering: Applications to Multi-Label Object Recognition and Speaker Identification Sep 9, 2021 Clustering Few-Shot Learning
Code Code Available 5 LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback Jun 5, 2024 Few-Shot Learning Language Modeling
Code Code Available 5 Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features Aug 11, 2023 Continual Learning Emotion Recognition
Code Code Available 5 Logarithm-transform aided Gaussian Sampling for Few-Shot Learning Sep 28, 2023 Classification Few-Shot Image Classification
Code Code Available 5 Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach Jul 21, 2020 Few-Shot Image Classification Few-Shot Learning
Code Code Available 5 Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario Oct 14, 2018 Cell Segmentation Few-Shot Learning
Code Code Available 5 L-HYDRA: Multi-Head Physics-Informed Neural Networks Jan 5, 2023 Few-Shot Learning Meta-Learning
Code Code Available 5 Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning Apr 18, 2021 Continual Learning Few-Shot Learning
Code Code Available 5 Compact Bilinear Pooling Nov 19, 2015 Face Recognition Few-Shot Learning
Code Code Available 5 Sequential Scenario-Specific Meta Learner for Online Recommendation Jun 2, 2019 Few-Shot Learning Meta-Learning
Code Code Available 5 LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning May 15, 2019 Few-Shot Learning Meta-Learning
Code Code Available 5 LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting Aug 31, 2021 Few-Shot Learning Language Modelling
Code Code Available 5 ASSERTIFY: Utilizing Large Language Models to Generate Assertions for Production Code Nov 25, 2024 Few-Shot Learning Prompt Engineering
Code Code Available 5 Coloring With Limited Data: Few-Shot Colorization via Memory-Augmented Networks Jun 9, 2019 Colorization Few-Shot Learning
Code Code Available 5 Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks Jun 1, 2019 Colorization Few-Shot Learning
Code Code Available 5 CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings Nov 15, 2021 Continual Learning Few-Shot Learning
Code Code Available 5 Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning Aug 22, 2019 Fault Diagnosis Few-Shot Learning
Code Code Available 5 Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning Oct 1, 2019 Few-Shot Learning Metric Learning
Code Code Available 5 Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection Jul 23, 2020 Few-Shot Learning Few-Shot Object Detection
Code Code Available 5 Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding Jun 9, 2023 Few-Shot Learning image-classification
Code Code Available 5 Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Feb 23, 2021 Few-Shot Learning Learning Theory
Code Code Available 5 Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning Dec 18, 2023 Cross-Domain Few-Shot cross-domain few-shot learning
Code Code Available 5 COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation Aug 21, 2023 Domain Adaptation Few-Shot Learning
Code Code Available 5 A Simple Approach to Adversarial Robustness in Few-shot Image Classification Apr 11, 2022 Adversarial Robustness Few-Shot Image Classification
Code Code Available 5 Learning to Learn Variational Semantic Memory Oct 20, 2020 Few-Shot Learning General Knowledge
Code Code Available 5 A Flag Decomposition for Hierarchical Datasets Feb 11, 2025 Clustering Denoising
Code Code Available 5 Coarse-To-Fine Incremental Few-Shot Learning Nov 24, 2021 class-incremental learning Class Incremental Learning
Code Code Available 5 Learning to Propagate for Graph Meta-Learning Sep 11, 2019 Dataset Generation Few-Shot Image Classification
Code Code Available 5 Coarsely-Labeled Data for Better Few-Shot Transfer Jan 1, 2021 Few-Shot Learning Representation Learning
Code Code Available 5 A separability-based approach to quantifying generalization: which layer is best? May 2, 2024 Domain Adaptation Domain Generalization
Code Code Available 5 Learning to Learn Kernels with Variational Random Features Jun 11, 2020 Few-Shot Learning Meta-Learning
Code Code Available 5 C-Norm: a neural approach to few-shot entity normalization Dec 29, 2020 Few-Shot Learning Medical Concept Normalization
Code Code Available 5 Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization Aug 2, 2021 Few-Shot Learning Meta-Learning
Code Code Available 5 Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning May 25, 2018 Few-Shot Image Classification Few-Shot Learning
Code Code Available 5 Clustered-patch Element Connection for Few-shot Learning Apr 20, 2023 Few-Shot Learning Few-Shot Semantic Segmentation
Code Code Available 5 Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning May 22, 2018 Few-Shot Learning Metric Learning
Code Code Available 5 