Make SVM great again with Siamese kernel for few-shot learning Jan 1, 2018 Few-Shot Learning General Classification
Code Code Available 05 An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments Feb 26, 2020 Face Recognition Few-Shot Learning
Code Code Available 05 MAD: Meta Adversarial Defense Benchmark Sep 18, 2023 Adversarial Defense Few-Shot Learning
Code Code Available 05 Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task Jun 9, 2024 Contrastive Learning Few-Shot Learning
Code Code Available 05 Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery Mar 26, 2018 Few-Shot Image Classification Few-Shot Learning
Code Code Available 05 Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks Jun 22, 2021 Adversarial Robustness Classification
Code Code Available 05 Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs Oct 7, 2022 Adversarial Defense Few-Shot Learning
Code Code Available 05 MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation Mar 9, 2023 Few-shot Instance Segmentation Few-Shot Learning
Code Code Available 05 MEAL: Stable and Active Learning for Few-Shot Prompting Nov 15, 2022 Active Learning Few-Shot Learning
Code Code Available 05 MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection May 18, 2023 Anomaly Detection Few-Shot Learning
Code Code Available 05 LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback Jun 5, 2024 Few-Shot Learning Language Modeling
Code Code Available 05 Enhancing Masked Time-Series Modeling via Dropping Patches Dec 19, 2024 Cross-Domain Few-Shot cross-domain few-shot learning
Code Code Available 05 Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning Aug 22, 2019 Fault Diagnosis Few-Shot Learning
Code Code Available 05 CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning Mar 6, 2019 Few-Shot Learning Few-Shot Semantic Segmentation
Code Code Available 05 LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning May 15, 2019 Few-Shot Learning Meta-Learning
Code Code Available 05 Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models Feb 12, 2025 Few-Shot Learning Large Language Model
Code Code Available 05 L-HYDRA: Multi-Head Physics-Informed Neural Networks Jan 5, 2023 Few-Shot Learning Meta-Learning
Code Code Available 05 Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning Apr 18, 2021 Continual Learning Few-Shot Learning
Code Code Available 05 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 05 End-to-end Generative Zero-shot Learning via Few-shot Learning Feb 8, 2021 Few-Shot Learning Zero-Shot Learning
Code Code Available 05 Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding Jun 9, 2023 Few-Shot Learning image-classification
Code Code Available 05 LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting Aug 31, 2021 Few-Shot Learning Language Modelling
Code Code Available 05 Logarithm-transform aided Gaussian Sampling for Few-Shot Learning Sep 28, 2023 Classification Few-Shot Image Classification
Code Code Available 05 AniWho : A Quick and Accurate Way to Classify Anime Character Faces in Images Aug 23, 2022 Few-Shot Learning Transfer Learning
Code Code Available 05 Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Feb 23, 2021 Few-Shot Learning Learning Theory
Code Code Available 05 Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning May 25, 2018 Few-Shot Image Classification Few-Shot Learning
Code Code Available 05 Learning to Propagate for Graph Meta-Learning Sep 11, 2019 Dataset Generation Few-Shot Image Classification
Code Code Available 05 Learning to Learn Variational Semantic Memory Oct 20, 2020 Few-Shot Learning General Knowledge
Code Code Available 05 Learning to Learn Kernels with Variational Random Features Jun 11, 2020 Few-Shot Learning Meta-Learning
Code Code Available 05 Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization Aug 2, 2021 Few-Shot Learning Meta-Learning
Code Code Available 05 A Bridge Between Hyperparameter Optimization and Learning-to-learn Dec 18, 2017 Few-Shot Learning Hyperparameter Optimization
Code Code Available 05 Learning to learn via Self-Critique May 24, 2019 Few-Shot Image Classification Few-Shot Learning
Code Code Available 05 Efficient Transfer Learning for Video-language Foundation Models Nov 18, 2024 Action Recognition Few-Shot Learning
Code Code Available 05 Learning to Forget for Meta-Learning Jun 13, 2019 Few-Shot Learning Meta-Learning
Code Code Available 05 Learning to Learn By Self-Critique Dec 1, 2019 Few-Shot Learning Meta-Learning
Code Code Available 05 Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Jan 10, 2025 Few-Shot Learning
Code Code Available 05 MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning Apr 10, 2020 Few-Shot Learning
Code Code Available 05 Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data Jun 8, 2020 Cross-Domain Few-Shot cross-domain few-shot learning
Code Code Available 05 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 05 Learning Prototype Representations Across Few-Shot Tasks for Event Detection Nov 1, 2021 Event Detection Few-Shot Learning
Code Code Available 05 Active Few-Shot Learning with FASL Apr 20, 2022 Active Learning Few-Shot Learning
Code Code Available 05 Learning New Tasks from a Few Examples with Soft-Label Prototypes Oct 31, 2022 Few-Shot Learning Meta-Learning
Code Code Available 05 Towards Context-Agnostic Learning Using Synthetic Data May 29, 2020 Few-Shot Learning image-classification
Code Code Available 05 BRUNO: A Deep Recurrent Model for Exchangeable Data Feb 21, 2018 Anomaly Detection Bayesian Inference
Code Code Available 05 ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation Jul 5, 2021 Few-Shot Learning Natural Language Understanding
Code Code Available 05 Learning from the Tangram to Solve Mini Visual Tasks Dec 12, 2021 Few-Shot Learning
Code Code Available 05 Effectiveness of Cross-linguistic Extraction of Genetic Information using Generative Large Language Models Sep 24, 2024 Cross-Lingual NER Few-Shot Learning
Code Code Available 05 Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning Jul 8, 2024 Contrastive Learning Data Augmentation
Code Code Available 05 A New Dataset and Empirical Study for Sentence Simplification in Chinese Jun 7, 2023 Few-Shot Learning Sentence
Code Code Available 05 Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback Dec 18, 2023 Binary Classification Classification
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