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

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Showing 101–125 of 158 papers

TitleStatusHype
Reaction Network Analysis of Metabolic Insulin Signaling—0
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence—0
Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems—0
Rockafellian Relaxation and Stochastic Optimization under Perturbations—0
Schema Independent Relational Learning—0
SECURE: Semantics-aware Embodied Conversation under Unawareness for Lifelong Robot Learning—0
Sequential Local Learning for Latent Graphical Models—0
Situational Grounding within Multimodal Simulations—0
Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts—0
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting—0
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications—0
Statistical QoS Provisioning Analysis and Performance Optimization in xURLLC-enabled Massive MU-MIMO Networks: A Stochastic Network Calculus Perspective—0
Strategy Synthesis in Markov Decision Processes Under Limited Sampling Access—0
Structure Matters: Towards Generating Transferable Adversarial Images—0
Surprisal Driven k-NN for Robust and Interpretable Nonparametric Learning—0
Theoretical and Empirical Analysis of Adaptive Entry Point Selection for Graph-based Approximate Nearest Neighbor Search—0
The Price of Cognition and Replicator Equations in Parallel Neural Networks—0
Tinkering Under the Hood: Interactive Zero-Shot Learning with Net Surgery—0
Toward enriched Cognitive Learning with XAI—0
Towards A Litmus Test for Common Sense—0
Weakly Supervised Open-Vocabulary Object Detection—0
What happens when generative AI models train recursively on each others' generated outputs?—0
Word reuse and combination support efficient communication of emerging concepts—0
Zero-Shot Learning by Generating Pseudo Feature Representations—0
Malware Detection and Prevention using Artificial Intelligence Techniques—0
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