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Novel Concepts
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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
What happens when generative AI models train recursively on each others' generated outputs?
From Data to Modeling: Fully Open-vocabulary Scene Graph Generation
Neuro-Symbolic Concepts
Exploring internal representation of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects
Contrastive Visual Data Augmentation
Efficient Transmission of Radiomaps via Physics-Enhanced Semantic Communications
Towards A Litmus Test for Common Sense
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization
PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning
Grounding Descriptions in Images informs Zero-Shot Visual Recognition
Knowledge Transfer Across Modalities with Natural Language Supervision
Word reuse and combination support efficient communication of emerging concepts
Few-Shot Task Learning through Inverse Generative Modeling
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
SECURE: Semantics-aware Embodied Conversation under Unawareness for Lifelong Robot Learning
Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review
FastBO: Fast HPO and NAS with Adaptive Fidelity Identification
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community
Assessing the Variety of a Concept Space Using an Unbiased Estimate of Rao's Quadratic Index
The Price of Cognition and Replicator Equations in Parallel Neural Networks
Flexible image analysis for law enforcement agencies with deep neural networks to determine: where, who and what
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective
Beyond the Bid-Ask: Strategic Insights into Spread Prediction and the Global Mid-Price Phenomenon
Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts
Hyperbolic Learning with Synthetic Captions for Open-World Detection
Is CLIP the main roadblock for fine-grained open-world perception?
Attention Calibration for Disentangled Text-to-Image Personalization
Coherent Temporal Synthesis for Incremental Action Segmentation
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