How Sensitive are Meta-Learners to Dataset Imbalance? Apr 12, 2021 Few-Shot Learning Meta-Learning
Code Code Available Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter View Nov 24, 2023 Anomaly Detection Few-Shot Learning
Code Code Available Bias-Eliminated Semantic Refinement for Any-Shot Learning Feb 10, 2022 Few-Shot Learning Generalized Zero-Shot Learning
Code Code Available AAPL: Adding Attributes to Prompt Learning for Vision-Language Models Apr 25, 2024 Data Augmentation Domain Generalization
Code Code Available A Study of Few-Shot Audio Classification Dec 2, 2020 Audio Classification BIG-bench Machine Learning
— Unverified Federated Large Language Models: Feasibility, Robustness, Security and Future Directions May 13, 2025 Federated Learning Few-Shot Learning
— Unverified Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Jan 23, 2025 Diagnostic Few-Shot Learning
— Unverified A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics Mar 2, 2021 Few-Shot Learning Program Synthesis
— Unverified Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data Mar 27, 2025 Few-Shot Learning Meta-Learning
— Unverified Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Oct 21, 2024 Federated Learning Few-Shot Learning
— Unverified Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation Dec 28, 2020 Few-Shot Learning Point Cloud Segmentation
— Unverified Compositional Generalization via Neural-Symbolic Stack Machines Aug 15, 2020 Few-Shot Learning Machine Translation
— Unverified A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning Oct 21, 2021 Few-Shot Learning
— Unverified A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning Oct 14, 2024 Few-Shot Learning Hyperparameter Optimization
— Unverified Compositional Fine-Grained Low-Shot Learning May 21, 2021 Attribute Diversity
— Unverified Malicious Requests Detection with Improved Bidirectional Long Short-term Memory Neural Networks Oct 26, 2020 Few-Shot Learning Metric Learning
— Unverified Federated Few-Shot Learning with Adversarial Learning Apr 1, 2021 Federated Learning Few-Shot Learning
— Unverified Compositional Few-Shot Recognition with Primitive Discovery and Enhancing May 12, 2020 Few-Shot Image Classification Few-Shot Learning
— Unverified AgileNet: Lightweight Dictionary-based Few-shot Learning May 21, 2018 Few-Shot Learning
— Unverified Composing Diffusion Policies for Few-shot Learning of Movement Trajectories Oct 22, 2024 Few-Shot Learning
— Unverified Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation Feb 26, 2019 Data Augmentation Few-Shot Learning
— Unverified Agile gesture recognition for low-power applications: customisation for generalisation Mar 12, 2024 Few-Shot Learning Gesture Recognition
— Unverified Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification May 18, 2020 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified Associative Adversarial Learning Based on Selective Attack Dec 28, 2021 Adversarial Robustness Few-Shot Learning
— Unverified Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Jan 25, 2025 Few-Shot Learning parameter-efficient fine-tuning
— Unverified Evolution imposes an inductive bias that alters and accelerates learning dynamics May 15, 2025 Few-Shot Learning Inductive Bias
— Unverified Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Apr 6, 2021 Few-Shot Learning General Classification
— Unverified Assessing two novel distance-based loss functions for few-shot image classification Sep 29, 2021 Few-Shot Image Classification Few-Shot Learning
— Unverified FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning Mar 10, 2024 Federated Learning Few-Shot Learning
— Unverified Compare learning: bi-attention network for few-shot learning Mar 25, 2022 Few-Shot Learning Metric Learning
— Unverified Comparative Analysis of Resource-Efficient CNN Architectures for Brain Tumor Classification Nov 23, 2024 Binary Classification Brain Tumor Classification
— Unverified Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images Nov 14, 2024 Anatomy Few-Shot Learning
— Unverified Assertion Enhanced Few-Shot Learning: Instructive Technique for Large Language Models to Generate Educational Explanations Dec 5, 2023 Explanation Generation Few-Shot Learning
— Unverified Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning Jun 19, 2024 All Few-Shot Learning
— Unverified AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs Jul 29, 2024 Few-Shot Learning In-Context Learning
— Unverified Combat Data Shift in Few-shot Learning with Knowledge Graph Jan 27, 2021 Few-Shot Learning Meta-Learning
— Unverified Aspect-Based Few-Shot Learning Dec 17, 2024 Few-Shot Learning
— Unverified Fast Task Adaptation for Few-Shot Learning Sep 25, 2019 Few-Shot Learning
— Unverified Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples Jan 22, 2025 Few-Shot Learning image-classification
— Unverified Adapting Language-Audio Models as Few-Shot Audio Learners May 28, 2023 Audio Classification Classification
— Unverified Fast visual grounding in interaction: bringing few-shot learning with neural networks to an interactive robot Jun 1, 2020 Few-Shot Learning Transfer Learning
— Unverified Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification Jul 11, 2023 Classification Contrastive Learning
— Unverified Collaboration of Pre-trained Models Makes Better Few-shot Learner Sep 25, 2022 Few-Shot Learning Representation Learning
— Unverified A general-purpose AI assistant embedded in an open-source radiology information system Mar 18, 2023 Active Learning Few-Shot Learning
— Unverified CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study Jul 21, 2023 Few-Shot Learning text-classification
— Unverified Supervised Graph Contrastive Learning for Few-shot Node Classification Mar 29, 2022 Classification Contrastive Learning
— Unverified A Game-Theoretic Perspective of Generalization in Reinforcement Learning Aug 7, 2022 Few-Shot Learning Meta-Learning
— Unverified Code Generation Tools (Almost) for Free? A Study of Few-Shot, Pre-Trained Language Models on Code Jun 2, 2022 Code Generation Few-Shot Learning
— Unverified CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation Aug 17, 2023 Code Generation Few-Shot Learning
— Unverified CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt Nov 13, 2024 Classification Code Completion
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