GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees Nov 13, 2024 Decision Making Feature Engineering
— Unverified 0 Gradient-Based Meta-Learning Using Uncertainty to Weigh Loss for Few-Shot Learning Aug 17, 2022 Few-Shot Learning Meta-Learning
— Unverified 0 Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning Nov 6, 2024 Diversity Few-Shot Learning
— Unverified 0 Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models Mar 12, 2023 Domain Generalization Few-Shot Learning
— Unverified 0 Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning May 6, 2020 Brain Computer Interface EEG
— Unverified 0 Grammatical information in BERT sentence embeddings as two-dimensional arrays Dec 15, 2023 Few-Shot Learning Sentence
— Unverified 0 Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning Nov 5, 2024 Document-level Relation Extraction Few-Shot Learning
— Unverified 0 Graph Machine Learning in the Era of Large Language Models (LLMs) Apr 23, 2024 Few-Shot Learning Knowledge Graphs
— Unverified 0 Graph Mining under Data scarcity Jun 7, 2024 Classification Few-Shot Learning
— Unverified 0 Graph Transformer May 1, 2019 Few-Shot Learning General Classification
— Unverified 0 Growing from Exploration: A self-exploring framework for robots based on foundation models Jan 24, 2024 Few-Shot Learning
— Unverified 0 GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning Sep 8, 2024 3DGS 3D Object Classification
— Unverified 0 Guided Deep Metric Learning Jun 4, 2022 Few-Shot Learning Knowledge Distillation
— Unverified 0 HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues Sep 23, 2023 Few-Shot Learning
— Unverified 0 HazardNet: Road Debris Detection by Augmentation of Synthetic Models Mar 14, 2023 Few-Shot Learning
— Unverified 0 HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold Oct 17, 2022 Contrastive Learning Event Detection
— Unverified 0 Head2HeadFS: Video-based Head Reenactment with Few-shot Learning Mar 30, 2021 Few-Shot Learning Pose Transfer
— Unverified 0 HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities May 17, 2021 Few-Shot Learning Meta-Learning
— Unverified 0 HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis Apr 19, 2025 Few-Shot Learning Self-Supervised Learning
— Unverified 0 Hierarchical Cross Contrastive Learning of Visual Representations Sep 29, 2021 Contrastive Learning Few-Shot Learning
— Unverified 0 Hierarchical end-to-end autonomous navigation through few-shot waypoint detection Sep 23, 2024 Autonomous Navigation Few-Shot Learning
— Unverified 0 Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inference Jan 10, 2024 Attribute Few-Shot Learning
— Unverified 0 Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection Apr 1, 2025 Few-Shot Learning Traffic Classification
— Unverified 0 Hierarchical Material Recognition from Local Appearance May 28, 2025 Few-Shot Learning Graph Attention
— Unverified 0 Hierarchical Meta Learning Apr 19, 2019 Few-Shot Learning Meta-Learning
— Unverified 0 High-dimensional separability for one- and few-shot learning Jun 28, 2021 Domain Adaptation Few-Shot Learning
— Unverified 0 High-level semantic feature matters few-shot unsupervised domain adaptation Jan 5, 2023 Domain Adaptation Few-Shot Learning
— Unverified 0 HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems May 6, 2025 Few-Shot Learning Quantum Machine Learning
— Unverified 0 HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes May 18, 2023 Clustering Few-Shot Learning
— Unverified 0 How Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach Dec 16, 2024 Few-Shot Learning Knowledge Graphs
— Unverified 0 How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers Mar 4, 2024 Few-Shot Learning Language Modeling
— Unverified 0 How Fine-Tuning Allows for Effective Meta-Learning May 5, 2021 Few-Shot Learning Meta-Learning
— Unverified 0 How Important is Domain Specificity in Language Models and Instruction Finetuning for Biomedical Relation Extraction? Feb 21, 2024 Few-Shot Learning Relation
— Unverified 0 How Reliable AI Chatbots are for Disease Prediction from Patient Complaints? May 21, 2024 Decision Making Disease Prediction
— Unverified 0 How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments? Feb 14, 2024 Autonomous Driving Few-Shot Learning
— Unverified 0 How to fine-tune deep neural networks in few-shot learning? Dec 1, 2020 Deep Learning Few-Shot Learning
— Unverified 0 How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models Sep 3, 2022 Few-Shot Learning
— Unverified 0 How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning? Feb 18, 2022 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 0 Human-Free Automated Prompting for Vision-Language Anomaly Detection: Prompt Optimization with Meta-guiding Prompt Scheme Jun 26, 2024 Anomaly Detection Anomaly Segmentation
— Unverified 0 Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per class Dec 19, 2022 Document Classification Few-Shot Learning
— Unverified 0 Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Nov 19, 2020 Data Augmentation Few-Shot Learning
— Unverified 0 Hybrid Graph Neural Networks for Few-Shot Learning Dec 13, 2021 Few-Shot Learning
— Unverified 0 Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning May 30, 2023 Few-Shot Learning Knowledge Graphs
— Unverified 0 Hyperbolic Dual Feature Augmentation for Open-Environment Jun 10, 2025 class-incremental learning Class Incremental Learning
— Unverified 0 Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation Jan 1, 2025 class-incremental learning Class Incremental Learning
— Unverified 0 Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin Sep 18, 2023 Few-Shot Learning Representation Learning
— Unverified 0 Hyperspectral Imaging-Based Grain Quality Assessment With Limited Labelled Data Nov 17, 2024 Classification Of Hyperspectral Images Few-Shot Learning
— Unverified 0 Hyperspherical embedding for novel class classification Feb 5, 2021 Classification Few-Shot Learning
— Unverified 0 HyperTransformer: Attention-Based CNN Model Generation from Few Samples Sep 29, 2021 Few-Shot Learning
— Unverified 0 VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought Jun 20, 2024 Action Anticipation Continual Learning
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