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 4150 of 158 papers

TitleStatusHype
Neuro-Symbolic Concepts0
Exploring internal representation of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects0
Contrastive Visual Data Augmentation0
Efficient Transmission of Radiomaps via Physics-Enhanced Semantic Communications0
Towards A Litmus Test for Common Sense0
Open Ad-hoc Categorization with Contextualized Feature Learning0
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional GeneralizationCode0
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence0
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning0
Knowledge Transfer Across Modalities with Natural Language Supervision0
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