SOTAVerified

One-Shot Learning

One-shot learning is the task of learning information about object categories from a single training example.

( Image credit: Siamese Neural Networks for One-shot Image Recognition )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 191–200 of 305 papers

TitleStatusHype
Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System—0
Verbal Programming of Robot Behavior—0
Towards Learning to Imitate from a Single Video Demonstration—0
Visual Imitation with Reinforcement Learning using Recurrent Siamese Networks—0
VOCABULARY-INFORMED VISUAL FEATURE AUGMENTATION FOR ONE-SHOT LEARNING—0
Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence—0
Weakly Supervised One-Shot Detection with Attention Similarity Networks—0
What Can ResNet Learn Efficiently, Going Beyond Kernels?—0
One-Shot Learning for Text-to-SQL Generation—0
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review—0
Show:102550
← PrevPage 20 of 31Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified