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Odd One Out
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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This task tests to what extent a language model is able to identify the odd word.
Source: BIG-bench
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out
Odd-One-Out: Anomaly Detection by Comparing with Neighbors
An Analysis of Human Alignment of Latent Diffusion Models
Towards Generative Abstract Reasoning: Completing Raven's Progressive Matrix via Rule Abstraction and Selection
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems
Cluster Flow: how a hierarchical clustering layer make allows deep-NNs more resilient to hacking, more human-like and easily implements relational reasoning
Spot The Odd One Out: Regularized Complete Cycle Consistent Anomaly Detector GAN
Human alignment of neural network representations
Symmetry as a Representation of Intuitive Geometry?
VICE: Variational Interpretable Concept Embeddings
Training Compute-Optimal Large Language Models
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Tell me why! Explanations support learning relational and causal structure
Odd-One-Out Representation Learning
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations
Self-Supervised Video Representation Learning With Odd-One-Out Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.