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Papers
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis
MIDL 2026
Concept Bottleneck Large Language Models
ICLR 2025
Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning
AAAI 2025
Identifying Emerging Concepts in Large Corpora
NAACL 2025
Towards Achieving Concept Completeness for Textual Concept Bottleneck Models
EMNLP 2025
Exploring the Suitability of Transformer Models to Analyse Mental Health Peer Support Forum Data for a Realist Evaluation
COLING 2024
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
AAAI 2023
On the Impact of Knowledge Distillation for Model Interpretability
ICML 2023
Unveiling Real-Life Effects of Online Photo Sharing
WACV 2022
Validation of the Neuro-Concept Detector framework for the characterization of speech disorders: A comparative study including Dysarthria and Dysphonia
Interspeech 2022
Exploring Multitask Learning for Low-Resource Abstractive Summarization
EMNLP 2021
End-To-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering
CVPR 2017
Yin and Yang: Balancing and Answering Binary Visual Questions
CVPR 2016
ConceptLearner: Discovering Visual Concepts From Weakly Labeled Image Collections
CVPR 2015
Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection
ICCV 2015
Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts
CVPR 2014
Zero-shot Event Detection using Multi-modal Fusion of Weakly Supervised Concepts
CVPR 2014