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 101–125 of 305 papers

TitleStatusHype
Compositional Embeddings: Joint Perception and Comparison of Class Label Sets—0
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning—0
HalalNet: A Deep Neural Network that Classifies the Halalness Slaughtered Chicken from their Images—0
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI—0
Harnessing Geometric Constraints from Emotion Labels to improve Face Verification—0
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing—0
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing—0
High-dimensional separability for one- and few-shot learning—0
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis—0
Improving One-Shot Learning through Fusing Side Information—0
AROS: Affordance Recognition with One-Shot Human Stances—0
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input—0
Distributional Modeling on a Diet: One-shot Word Learning from Text Only—0
Inverting The Generator Of A Generative Adversarial Network—0
Investigation of using disentangled and interpretable representations with language conditioning for cross-lingual voice conversion—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Augmented Memory Networks for Streaming-Based Active One-Shot Learning—0
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning—0
Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning—0
Learning similarity measures from data—0
Learning feed-forward one-shot learners—0
Learning from limited datasets: Implications for Natural Language Generation and Human-Robot Interaction—0
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning—0
A Hippocampus Model for Online One-Shot Storage of Pattern Sequences—0
Discovering objects and their relations from entangled scene representations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified