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One-Shot Learning
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One-shot learning is the task of learning information about object categories from a single training example.
<span style="color:grey; opacity: 0.6">( Image credit: Siamese Neural Networks for One-shot Image Recognition )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Interactive Instance Annotation with Siamese Networks
Federated One-Shot Learning with Data Privacy and Objective-Hiding
Transductive One-Shot Learning Meet Subspace Decomposition
PVChat: Personalized Video Chat with One-Shot Learning
Representing Signs as Signs: One-Shot ISLR to Facilitate Functional Sign Language Technologies
One-Shot Learning for k-SAT
Mathematics of Digital Twins and Transfer Learning for PDE Models
PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling
The use of large language models to enhance cancer clinical trial educational materials
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
Take Package as Language: Anomaly Detection Using Transformer
One-Shot Manipulation Strategy Learning by Making Contact Analogies
Supervised Learning without Backpropagation using Spike-Timing-Dependent Plasticity for Image Recognition
RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process
SeqNet: Sequential Networks for One-Shot Traffic Sign Recognition With Transfer Learning
LLMs are One-Shot URL Classifiers and Explainers
Direct Data-Driven Discounted Infinite Horizon Linear Quadratic Regulator with Robustness Guarantees
One-Shot Learning for Pose-Guided Person Image Synthesis in the Wild
Abstracted Gaussian Prototypes for One-Shot Concept Learning
One-Shot Learning Meets Depth Diffusion in Multi-Object Videos
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images
MU-MAE: Multimodal Masked Autoencoders-Based One-Shot Learning
One-Shot Collaborative Data Distillation
Encoding Matching Criteria for Cross-domain Deformable Image Registration
Object Detection using Oriented Window Learning Vi-sion Transformer: Roadway Assets Recognition
Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel Noises
Npix2Cpix: A GAN-Based Image-to-Image Translation Network With Retrieval- Classification Integration for Watermark Retrieval From Historical Document Images
Active Use of Latent Constituency Representation in both Humans and Large Language Models
Response Matching for generating materials and molecules
Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media
Learning Symbolic Task Representation from a Human-Led Demonstration: A Memory to Store, Retrieve, Consolidate, and Forget Experiences
Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification
A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning
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