SOTAVerified

Novel Concepts

Measures the ability of models to uncover an underlying concept that unites several ostensibly disparate entities, which hopefully would not co-occur frequently. This provides a limited test of a model's ability to creatively construct the necessary abstraction to make sense of a situation that it cannot have memorized in training.

Source: BIG-bench

Papers

Showing 121130 of 158 papers

TitleStatusHype
Contextual Blocking Bandits0
Exploring Partial Intrinsic and Extrinsic Symmetry in 3D Medical Imaging0
FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers0
Direct and indirect transactions and requirements0
Simple and Lightweight Human Pose EstimationCode0
Knowledge Graph Transfer Network for Few-Shot RecognitionCode0
Structure Matters: Towards Generating Transferable Adversarial Images0
Meta-Learning to Detect Rare Objects0
Prototype Recalls for Continual Learning0
Meta-Learning by Hallucinating Useful Examples0
Show:102550
← PrevPage 13 of 16Next →

No leaderboard results yet.