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 101–150 of 158 papers

TitleStatusHype
Meta-Learning by Hallucinating Useful Examples—0
Meta-Learning to Detect Rare Objects—0
Toward enriched Cognitive Learning with XAI—0
Towards A Litmus Test for Common Sense—0
A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches—0
Neuro-Symbolic Concepts—0
Characterizing an Analogical Concept Memory for Architectures Implementing the Common Model of Cognition—0
Open Ad-hoc Categorization with Contextualized Feature Learning—0
Open-Set Representation Learning through Combinatorial Embedding—0
Open-vocabulary object 6D pose estimation—0
Can Machines Design? An Artificial General Intelligence Approach—0
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning—0
Beyond the Bid-Ask: Strategic Insights into Spread Prediction and the Global Mid-Price Phenomenon—0
Privacy-Enabled Biometric Search—0
Prototype Recalls for Continual Learning—0
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting—0
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
25 years of criticality in neuroscience -- established results, open controversies, novel concepts—0
Rockafellian Relaxation and Stochastic Optimization under Perturbations—0
Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs—0
Benchmarking the human brain against computational architectures—0
Automating string processing in spreadsheets using input-output examples—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
Zero-Shot Learning by Generating Pseudo Feature Representations—0
Situational Grounding within Multimodal Simulations—0
Weakly Supervised Open-Vocabulary Object Detection—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
What happens when generative AI models train recursively on each others' generated outputs?—0
Surprisal Driven k-NN for Robust and Interpretable Nonparametric Learning—0
Word reuse and combination support efficient communication of emerging concepts—0
Discovering Latent Concepts Learned in BERT—0
DreamArtist++: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter—0
Direct and indirect transactions and requirements—0
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning—0
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition—0
Dialog Policy Learning for Joint Clarification and Active Learning Queries—0
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners—0
Efficient Transmission of Radiomaps via Physics-Enhanced Semantic Communications—0
Analogical Concept Memory for Architectures Implementing the Common Model of Cognition—0
Enhancing Balanced Graph Edge Partition with Effective Local Search—0
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective—0
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