Are Fewer Labels Possible for Few-shot Learning? Dec 10, 2020 Clustering Few-Shot Learning
— Unverified Few-Shot Incremental Learning for Label-to-Image Translation Jan 1, 2022 Few-Shot Learning Incremental Learning
— Unverified Few-Shot Learning as Domain Adaptation: Algorithm and Analysis Feb 6, 2020 Domain Adaptation Few-Shot Image Classification
— Unverified Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks Aug 31, 2022 Deep Learning Few-Shot Learning
— Unverified Few-shot Learning for Unsupervised Feature Selection Jul 2, 2021 Decoder feature selection
— Unverified Class Imbalance in Few-Shot Learning Jan 1, 2021 Few-Shot Learning
— Unverified AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing Jun 11, 2023 Few-Shot Learning
— Unverified A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors Mar 13, 2021 Few-Shot Learning MRI Reconstruction
— Unverified Accelerating Neural Self-Improvement via Bootstrapping May 2, 2023 Few-Shot Learning Meta-Learning
— Unverified Few-Shot Image Classification via Contrastive Self-Supervised Learning Aug 23, 2020 Classification Few-Shot Image Classification
— Unverified AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN May 12, 2020 Few-Shot Learning text-to-speech
— Unverified A Prompt Refinement-based Large Language Model for Metro Passenger Flow Forecasting under Delay Conditions Oct 19, 2024 Descriptive Few-Shot Learning
— Unverified Few-Shot Human Motion Prediction via Meta-Learning Sep 1, 2018 Few-Shot Learning Human motion prediction
— Unverified Circumpapillary OCT-Focused Hybrid Learning for Glaucoma Grading Using Tailored Prototypical Neural Networks Jun 25, 2021 Few-Shot Learning
— Unverified Few-Shot Image Classification Along Sparse Graphs Dec 7, 2021 Classification Few-Shot Image Classification
— Unverified Few-shot Image Classification with Multi-Facet Prototypes Feb 1, 2021 Classification Few-Shot Image Classification
— Unverified CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systems Sep 10, 2021 dialog state tracking Few-Shot Learning
— Unverified Check-worthy Claim Detection across Topics for Automated Fact-checking Dec 16, 2022 Data Augmentation Fact Checking
— Unverified A Few Hypocrites: Few-Shot Learning and Subtype Definitions for Detecting Hypocrisy Accusations in Online Climate Change Debates Sep 25, 2024 Few-Shot Learning In-Context Learning
— Unverified ChatGPT for Arabic Grammatical Error Correction Aug 8, 2023 Few-Shot Learning Grammatical Error Correction
— Unverified ChatGPT and general-purpose AI count fruits in pictures surprisingly well Apr 12, 2024 Deep Learning Few-Shot Learning
— Unverified A Practical Guide to Fine-tuning Language Models with Limited Data Nov 14, 2024 Few-Shot Learning Transfer Learning
— Unverified ActPC-Geom: Towards Scalable Online Neural-Symbolic Learning via Accelerating Active Predictive Coding with Information Geometry & Diverse Cognitive Mechanisms Jan 8, 2025 Few-Shot Learning
— Unverified A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities Dec 6, 2024 Federated Learning Few-Shot Learning
— Unverified Approximating Human-Like Few-shot Learning with GPT-based Compression Aug 14, 2023 Data Compression Few-Shot Learning
— Unverified Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification Mar 18, 2020 Classification Few-Shot Learning
— Unverified Channel-Spatial-Based Few-Shot Bird Sound Event Detection Jun 18, 2023 Event Detection Few-Shot Learning
— Unverified Applying Large Language Models and Chain-of-Thought for Automatic Scoring Nov 30, 2023 Few-Shot Learning Prompt Engineering
— Unverified Few-shot graph link prediction with domain adaptation Sep 29, 2021 Domain Adaptation Few-Shot Learning
— Unverified Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights Aug 25, 2024 Classification Few-Shot Learning
— Unverified Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion Jul 9, 2024 Diversity Few-Shot Learning
— Unverified Channel Phase Processing in Wireless Networks for Human Activity Recognition Mar 29, 2023 Activity Recognition Denoising
— Unverified Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis Jun 2, 2024 Few-Shot Learning Prompt Engineering
— Unverified AnyTrans: Translate AnyText in the Image with Large Scale Models Jun 17, 2024 Few-Shot Learning Translation
— Unverified Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data Sep 28, 2022 Active Learning Few-Shot Learning
— Unverified Chain-of-Thought Textual Reasoning for Few-shot Temporal Action Localization Apr 18, 2025 Action Localization Anomaly Detection
— Unverified Eureka: Neural Insight Learning for Knowledge Graph Reasoning Oct 1, 2022 Few-Shot Learning
— Unverified Deep Representation Learning with an Information-theoretic Loss Nov 25, 2021 Anomaly Detection Few-Shot Learning
— Unverified Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry May 30, 2024 Fault Diagnosis Few-Shot Learning
— Unverified Few-Shot Few-Shot Learning and the role of Spatial Attention Feb 18, 2020 Few-Shot Learning Meta-Learning
— Unverified Centroid-based deep metric learning for speaker recognition Feb 6, 2019 Few-Shot Image Classification Few-Shot Learning
— Unverified Few-shot Continual Infomax Learning Jan 1, 2023 Continual Learning Few-Shot Learning
— Unverified Episodic-free Task Selection for Few-shot Learning Jan 31, 2024 Contrastive Learning Few-Shot Learning
— Unverified CellularLint: A Systematic Approach to Identify Inconsistent Behavior in Cellular Network Specifications Jul 18, 2024 Few-Shot Learning
— Unverified A Novel Compact LLM Framework for Local, High-Privacy EHR Data Applications Dec 3, 2024 Few-Shot Learning
— Unverified Few-shot Continual Learning: a Brain-inspired Approach Apr 19, 2021 Continual Learning Few-Shot Learning
— Unverified EPIC: Efficient Position-Independent Caching for Serving Large Language Models Oct 20, 2024 Chunking Few-Shot Learning
— Unverified Recent Advances in Multi-Choice Machine Reading Comprehension: A Survey on Methods and Datasets Aug 4, 2024 Few-Shot Learning Machine Reading Comprehension
— Unverified Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning Aug 22, 2024 Few-Shot Learning
— Unverified Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting Feb 20, 2024 Few-Shot Learning named-entity-recognition
— Unverified 