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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 158 papers

TitleStatusHype
A Closer Look at Rehearsal-Free Continual Learning—0
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations—0
Emergence of hierarchical reference systems in multi-agent communicationCode0
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications—0
Generative Pre-Trained Transformer for Design Concept Generation: An Exploration—0
Few-Shot Novel Concept Learning for Semantic Parsing—0
CoSe-Co: Sentence Conditioned Generative CommonSense Contextualizer for Language Models—0
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods—0
Decision Making Using Rough Set based Spanning Sets for a Decision System—0
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting—0
Open-Set Representation Learning through Combinatorial Embedding—0
Neural Concept Formation in Knowledge GraphsCode0
A Clustering-based Framework for Classifying Data StreamsCode0
How Should Agents Ask Questions For Situated Learning? An Annotated Dialogue CorpusCode0
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classificationCode0
Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering—0
Enhancing Balanced Graph Edge Partition with Effective Local Search—0
SketchEmbedNet: Learning Novel Concepts by Imitating DrawingsCode0
Dialog Policy Learning for Joint Clarification and Active Learning Queries—0
Characterizing an Analogical Concept Memory for Architectures Implementing the Common Model of Cognition—0
Revisit Systematic Generalization via Meaningful LearningCode0
Contextual Blocking Bandits—0
Exploring Partial Intrinsic and Extrinsic Symmetry in 3D Medical Imaging—0
FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers—0
Direct and indirect transactions and requirements—0
Show:102550
← PrevPage 5 of 7Next →

No leaderboard results yet.