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 1–50 of 158 papers

TitleStatusHype
Explaining deep neural network models for electricity price forecasting with XAI—0
What happens when generative AI models train recursively on each others' generated outputs?—0
From Data to Modeling: Fully Open-vocabulary Scene Graph Generation—0
Neuro-Symbolic Concepts—0
Exploring internal representation of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects—0
Contrastive Visual Data Augmentation—0
Efficient Transmission of Radiomaps via Physics-Enhanced Semantic Communications—0
Towards A Litmus Test for Common Sense—0
Open Ad-hoc Categorization with Contextualized Feature Learning—0
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic SegmentationCode1
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional GeneralizationCode0
PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem EquilibriumCode1
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence—0
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning—0
Grounding Descriptions in Images informs Zero-Shot Visual RecognitionCode1
Knowledge Transfer Across Modalities with Natural Language Supervision—0
Word reuse and combination support efficient communication of emerging concepts—0
Few-Shot Task Learning through Inverse Generative Modeling—0
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained ModelsCode1
Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models—0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges—0
Happy: A Debiased Learning Framework for Continual Generalized Category DiscoveryCode1
SECURE: Semantics-aware Embodied Conversation under Unawareness for Lifelong Robot Learning—0
Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?Code0
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review—0
FastBO: Fast HPO and NAS with Adaptive Fidelity Identification—0
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing CommunityCode3
Assessing the Variety of a Concept Space Using an Unbiased Estimate of Rao's Quadratic Index—0
The Price of Cognition and Replicator Equations in Parallel Neural Networks—0
Flexible image analysis for law enforcement agencies with deep neural networks to determine: where, who and what—0
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective—0
Beyond the Bid-Ask: Strategic Insights into Spread Prediction and the Global Mid-Price Phenomenon—0
Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts—0
Hyperbolic Learning with Synthetic Captions for Open-World Detection—0
Is CLIP the main roadblock for fine-grained open-world perception?Code2
Attention Calibration for Disentangled Text-to-Image PersonalizationCode2
Coherent Temporal Synthesis for Incremental Action Segmentation—0
A Language Model's Guide Through Latent SpaceCode1
Theoretical and Empirical Analysis of Adaptive Entry Point Selection for Graph-based Approximate Nearest Neighbor Search—0
BOWLL: A Deceptively Simple Open World Lifelong LearnerCode0
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition—0
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently—0
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster MemoryCode1
Interactive Visual Task Learning for Robots—0
Weakly Supervised Open-Vocabulary Object Detection—0
Toward enriched Cognitive Learning with XAI—0
Language-Informed Visual Concept LearningCode1
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary ConstraintsCode2
Open-vocabulary object 6D pose estimation—0
DreamCreature: Crafting Photorealistic Virtual Creatures from ImaginationCode1
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