Shot in the Dark: Few-Shot Learning with No Base-Class Labels Oct 6, 2020 Few-Shot Learning Inductive Bias
— Unverified 0 Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation Mar 25, 2025 Few-Shot Learning Segmentation
— Unverified 0 ShufaNet: Classification method for calligraphers who have reached the professional level Nov 22, 2021 Classification Few-Shot Learning
— Unverified 0 Siamese Capsule Networks May 18, 2018 Face Verification Few-Shot Learning
— Unverified 0 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 0 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 0 SigNet: A Novel Deep Learning Framework for Radio Signal Classification Oct 28, 2020 Classification Deep Learning
— Unverified 0 SILCO: Show a Few Images, Localize the Common Object Oct 1, 2019 Few-Shot Learning
— Unverified 0 Similarity of Pre-trained and Fine-tuned Representations Jul 19, 2022 Domain Adaptation Few-Shot Learning
— Unverified 0 Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning Jun 9, 2020 Few-Shot Learning
— Unverified 0 Single Morphing Attack Detection using Siamese Network and Few-shot Learning Jun 22, 2022 Face Morphing Attack Detection Face Verification
— Unverified 0 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 0 SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders Apr 14, 2023 Few-Shot Learning Pseudo Label
— Unverified 0 Small Language Models as Effective Guides for Large Language Models in Chinese Relation Extraction Feb 22, 2024 Few-Shot Learning Language Modelling
— Unverified 0 Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks Mar 30, 2024 Few-Shot Learning Instruction Following
— Unverified 0 Self-Supervised Open-Ended Classification with Small Visual Language Models Sep 30, 2023 Few-Shot Learning Image Captioning
— Unverified 0 Long Context Compression with Activation Beacon Jan 7, 2024 4k document understanding
— Unverified 0 Sociocultural knowledge is needed for selection of shots in hate speech detection tasks Apr 4, 2023 Few-Shot Learning Hate Speech Detection
— Unverified 0 Sparse annotation strategies for segmentation of short axis cardiac MRI Jul 24, 2023 Data Augmentation Few-Shot Learning
— Unverified 0 Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification Mar 19, 2025 Diagnostic Few-Shot Learning
— Unverified 0 Resisting Large Data Variations via Introspective Transformation Network May 16, 2018 Data Augmentation Few-Shot Learning
— Unverified 0 SPeCiaL: Self-Supervised Pretraining for Continual Learning Jun 16, 2021 continual few-shot learning Continual Learning
— Unverified 0 SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization Mar 24, 2023 Abstractive Text Summarization Few-Shot Learning
— Unverified 0 Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data Mar 25, 2021 Autonomous Driving Few-Shot Learning
— Unverified 0 SPKLIP: Aligning Spike Video Streams with Natural Language May 19, 2025 Contrastive Learning Few-Shot Learning
— Unverified 0 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 0 Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification Jun 1, 2019 Data Augmentation Few-Shot Image Classification
— Unverified 0 SSwsrNet: A Semi-Supervised Few-Shot Learning Framework for Wireless Signal Recognition Apr 3, 2024 Classification Few-Shot Learning
— Unverified 0 Stance Detection on Social Media with Fine-Tuned Large Language Models Apr 18, 2024 Few-Shot Learning Stance Detection
— Unverified 0 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 0 BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection Jul 27, 2022 Few-Shot Learning Vocal Bursts Type Prediction
— Unverified 0 Statistically and Computationally Efficient Linear Meta-representation Learning Dec 1, 2021 Few-Shot Learning Representation Learning
— Unverified 0 STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction Oct 31, 2023 Domain Adaptation Few-Shot Learning
— Unverified 0 Stochastic Prototype Embeddings Sep 25, 2019 Few-Shot Learning open-set classification
— Unverified 0 Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool Apr 1, 2021 Few-Shot Learning Language Modeling
— Unverified 0 STPrompt: Semantic-guided and Task-driven prompts for Effective Few-shot Classification Oct 29, 2022 Few-Shot Learning Few-Shot Text Classification
— Unverified 0 Strategies to Improve Few-shot Learning for Intent Classification and Slot-Filling Jul 1, 2022 Contrastive Learning Data Augmentation
— Unverified 0 Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning Jun 4, 2024 Few-Shot Learning Intrusion Detection
— Unverified 0 Stress Testing of Meta-learning Approaches for Few-shot Learning Jan 21, 2021 Few-Shot Learning Meta-Learning
— Unverified 0 Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models Oct 12, 2020 Few-Shot Learning Sentence
— Unverified 0 STT: Soft Template Tuning for Few-Shot Learning Jan 16, 2022 Few-Shot Learning Language Modeling
— Unverified 0 STT: Soft Template Tuning for Few-Shot Adaptation Jul 18, 2022 Few-Shot Learning Language Modeling
— Unverified 0 Super-Prompting: Utilizing Model-Independent Contextual Data to Reduce Data Annotation Required in Visual Commonsense Tasks Apr 25, 2022 Few-Shot Learning In-Context Learning
— Unverified 0 Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation May 13, 2024 Few-Shot Learning Image Segmentation
— Unverified 0 Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning Feb 27, 2024 Few-Shot Learning
— Unverified 0 SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification May 15, 2023 All Few-Shot Image Classification
— Unverified 0 Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification Sep 29, 2021 Cross-Domain Few-Shot Domain Generalization
— Unverified 0 Synthesized Annotation Guidelines are Knowledge-Lite Boosters for Clinical Information Extraction Apr 1, 2025 Few-Shot Learning named-entity-recognition
— Unverified 0 Synthetic Examples Improve Generalization for Rare Classes Apr 11, 2019 Few-Shot Learning Self-Driving Cars
— Unverified 0 Ta-Adapter: Enhancing few-shot CLIP with task-aware encoders Apr 29, 2024 Few-Shot Learning image-classification
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