Odd One Out
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Benchmarks
BIG-bench
Most implemented
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
VICE: Variational Interpretable Concept Embeddings
Training Compute-Optimal Large Language Models
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations
Odd-One-Out: Anomaly Detection by Comparing with Neighbors
Papers
Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts
With the rapid improvement of machine learning (ML) models, cognitive scientists are increasingly asking about their alignment with how humans think. Here, we ask this question for computer vision models and human sensit…
Odd One OutSensitivityO1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out
Object detection methods trained on a fixed set of known classes struggle to detect objects of unknown classes in the open-world setting. Current fixes involve adding approximate supervision with pseudo-labels correspond…
object-detectionObject DetectionOdd One OutOdd-One-Out: Anomaly Detection by Comparing with Neighbors
This paper introduces a novel anomaly detection (AD) problem that focuses on identifying `odd-looking' objects relative to the other instances in a given scene. In contrast to the traditional AD benchmarks, anomalies in …
8kAnomaly DetectionOdd One OutAn Analysis of Human Alignment of Latent Diffusion Models
Diffusion models, trained on large amounts of data, showed remarkable performance for image synthesis. They have high error consistency with humans and low texture bias when used for classification. Furthermore, prior wo…
Image GenerationOdd One OutTripletTowards Generative Abstract Reasoning: Completing Raven's Progressive Matrix via Rule Abstraction and Selection
Endowing machines with abstract reasoning ability has been a long-term research topic in artificial intelligence. Raven's Progressive Matrix (RPM) is widely used to probe abstract visual reasoning in machine intelligence…
Answer GenerationAttributeOdd One OutVisual ReasoningOne Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems
Abstract Visual Reasoning (AVR) comprises a wide selection of various problems similar to those used in human IQ tests. Recent years have brought dynamic progress in solving particular AVR tasks, however, in the contempo…
Odd One OutTransfer LearningVisual Reasoning