Semi-Supervised Few-Shot Learning for Dual Question-Answer Extraction Apr 8, 2019 Clustering Few-Shot Learning
— Unverified Semi-supervised few-shot learning for medical image segmentation Mar 18, 2020 Few-Shot Learning Image Segmentation
— Unverified Semi-Supervised Few-Shot Learning with a Controlled Degree of Task-Adaptive Conditioning Sep 25, 2019 Clustering Few-Shot Learning
— Unverified Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining Feb 16, 2021 Audio Classification Event Detection
— Unverified Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification Aug 1, 2021 Cross-Domain Few-Shot Few-Shot Learning
— Unverified Semi-Supervised One-Shot Imitation Learning Aug 9, 2024 Few-Shot Learning Imitation Learning
— Unverified Semi-Supervised SAR ATR Framework with Transductive Auxiliary Segmentation Aug 31, 2023 Few-Shot Learning Inductive Bias
— Unverified SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks Aug 1, 2020 Few-Shot Learning
— Unverified Sense and Learn: Self-Supervision for Omnipresent Sensors Sep 28, 2020 Continual Learning Few-Shot Learning
— Unverified SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Dec 9, 2024 Data Augmentation Few-Shot Learning
— Unverified Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data Jun 1, 2020 Classification Clustering
— Unverified Shot in the Dark: Few-Shot Learning with No Base-Class Labels Oct 6, 2020 Few-Shot Learning Inductive Bias
— Unverified Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation Mar 25, 2025 Few-Shot Learning Segmentation
— Unverified ShufaNet: Classification method for calligraphers who have reached the professional level Nov 22, 2021 Classification Few-Shot Learning
— Unverified Siamese Capsule Networks May 18, 2018 Face Verification Few-Shot Learning
— Unverified Distance Metric-Based Learning with Interpolated Latent Features for Location Classification in Endoscopy Image and Video Mar 15, 2021 Anomaly Detection Few-Shot Learning
— Unverified Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving Apr 14, 2025 Autonomous Driving Brain Computer Interface
— Unverified SigNet: A Novel Deep Learning Framework for Radio Signal Classification Oct 28, 2020 Classification Deep Learning
— Unverified SILCO: Show a Few Images, Localize the Common Object Oct 1, 2019 Few-Shot Learning
— Unverified Similarity of Pre-trained and Fine-tuned Representations Jul 19, 2022 Domain Adaptation Few-Shot Learning
— Unverified Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning Jun 9, 2020 Few-Shot Learning
— Unverified Single Morphing Attack Detection using Siamese Network and Few-shot Learning Jun 22, 2022 Face Morphing Attack Detection Face Verification
— Unverified Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts Apr 11, 2024 Code Generation continual few-shot learning
— Unverified SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders Apr 14, 2023 Few-Shot Learning Pseudo Label
— Unverified Small Language Models as Effective Guides for Large Language Models in Chinese Relation Extraction Feb 22, 2024 Few-Shot Learning Language Modelling
— Unverified Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks Mar 30, 2024 Few-Shot Learning Instruction Following
— Unverified Self-Supervised Open-Ended Classification with Small Visual Language Models Sep 30, 2023 Few-Shot Learning Image Captioning
— Unverified Long Context Compression with Activation Beacon Jan 7, 2024 4k document understanding
— Unverified Sociocultural knowledge is needed for selection of shots in hate speech detection tasks Apr 4, 2023 Few-Shot Learning Hate Speech Detection
— Unverified Sparse annotation strategies for segmentation of short axis cardiac MRI Jul 24, 2023 Data Augmentation Few-Shot Learning
— Unverified Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification Mar 19, 2025 Diagnostic Few-Shot Learning
— Unverified Resisting Large Data Variations via Introspective Transformation Network May 16, 2018 Data Augmentation Few-Shot Learning
— Unverified SPeCiaL: Self-Supervised Pretraining for Continual Learning Jun 16, 2021 continual few-shot learning Continual Learning
— Unverified SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization Mar 24, 2023 Abstractive Text Summarization Few-Shot Learning
— Unverified Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data Mar 25, 2021 Autonomous Driving Few-Shot Learning
— Unverified SPKLIP: Aligning Spike Video Streams with Natural Language May 19, 2025 Contrastive Learning Few-Shot Learning
— Unverified Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Video Jun 21, 2024 Benchmarking Few-Shot Learning
— Unverified Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification Jun 1, 2019 Data Augmentation Few-Shot Image Classification
— Unverified SSwsrNet: A Semi-Supervised Few-Shot Learning Framework for Wireless Signal Recognition Apr 3, 2024 Classification Few-Shot Learning
— Unverified Stance Detection on Social Media with Fine-Tuned Large Language Models Apr 18, 2024 Few-Shot Learning Stance Detection
— Unverified State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects Jan 2, 2025 Benchmarking Face Swapping
— Unverified BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection Jul 27, 2022 Few-Shot Learning Vocal Bursts Type Prediction
— Unverified Statistically and Computationally Efficient Linear Meta-representation Learning Dec 1, 2021 Few-Shot Learning Representation Learning
— Unverified STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction Oct 31, 2023 Domain Adaptation Few-Shot Learning
— Unverified Stochastic Prototype Embeddings Sep 25, 2019 Few-Shot Learning open-set classification
— Unverified Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool Apr 1, 2021 Few-Shot Learning Language Modeling
— Unverified STPrompt: Semantic-guided and Task-driven prompts for Effective Few-shot Classification Oct 29, 2022 Few-Shot Learning Few-Shot Text Classification
— Unverified Strategies to Improve Few-shot Learning for Intent Classification and Slot-Filling Jul 1, 2022 Contrastive Learning Data Augmentation
— Unverified Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning Jun 4, 2024 Few-Shot Learning Intrusion Detection
— Unverified Stress Testing of Meta-learning Approaches for Few-shot Learning Jan 21, 2021 Few-Shot Learning Meta-Learning
— Unverified 