conftrace_

concept learning

121 papers

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Co-occurring keywords

few-shot learning (3398) representation learning (6206) diffusion model (3751) machine teaching (38) description logic (107) text-to-image generation (587) generative model (2892) vision-language model (2348) large language model (13587) visual reasoning (493)

Papers

InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning CVPR 2024
Label-Efficient Group Robustness via Out-of-Distribution Concept Curation CVPR 2024
Concept-Guided Prompt Learning for Generalization in Vision-Language Models AAAI 2024
Symbolic Regression with a Learned Concept Library NIPS 2024
ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks CVPR 2024
A Self-explaining Neural Architecture for Generalizable Concept Learning IJCAI 2024
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models AAAI 2024
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes CVPR 2024
Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners CVPR 2024
On the Power and Limitations of Examples for Description Logic Concepts IJCAI 2024
Concept-aware Data Construction Improves In-context Learning of Language Models ACL 2024
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners CVPR 2024
MAP- and MLE-Based Teaching JMLR 2024
Concept-Centric Transformers: Enhancing Model Interpretability Through Object-Centric Concept Learning Within a Shared Global Workspace WACV 2024
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling ACL 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space NIPS 2024
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection CVPR 2024
ProMark: Proactive Diffusion Watermarking for Causal Attribution CVPR 2024
CoSy: Evaluating Textual Explanations of Neurons NIPS 2024
Few-Shot Task Learning through Inverse Generative Modeling NIPS 2024
Can In-context Learners Learn a Reasoning Concept from Demonstrations? ACL 2023
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections ACL 2023
Learning Bottleneck Concepts in Image Classification CVPR 2023
Towards Concept-Aware Large Language Models EMNLP 2023
Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language NIPS 2023