SOTAVerified

Odd One Out

This task tests to what extent a language model is able to identify the odd word.

Source: BIG-bench

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–21 of 21 papers

TitleStatusHype
Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts—0
O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out—0
Odd-One-Out: Anomaly Detection by Comparing with NeighborsCode2
An Analysis of Human Alignment of Latent Diffusion Models—0
Towards Generative Abstract Reasoning: Completing Raven's Progressive Matrix via Rule Abstraction and SelectionCode0
One Self-Configurable Model to Solve Many Abstract Visual Reasoning ProblemsCode0
Cluster Flow: how a hierarchical clustering layer make allows deep-NNs more resilient to hacking, more human-like and easily implements relational reasoning—0
Spot The Odd One Out: Regularized Complete Cycle Consistent Anomaly Detector GANCode1
Human alignment of neural network representationsCode1
Evaluating Word Embeddings in Extremely Under-Resourced Languages: A Case Study in Bribri—0
Symmetry as a Representation of Intuitive Geometry?—0
VICE: Variational Interpretable Concept EmbeddingsCode1
Training Compute-Optimal Large Language ModelsCode6
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Tell me why! Explanations support learning relational and causal structureCode1
Tell me why!—Explanations support learning relational and causal structure—0
Odd-One-Out Representation LearningCode0
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in VideosCode1
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and EvaluationsCode1
Effects of Linguistic Labels on Learned Visual Representations in Convolutional Neural Networks: Labels matter!—0
Self-Supervised Video Representation Learning With Odd-One-Out Networks—0
Show:102550

No leaderboard results yet.