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conftrace_

concept discovery

33 papers

Papers

From Weights to Concepts: Data-Free Interpretability of CLIP via Singular Vector Decomposition CVPR 2026 Learning Latent Concepts for Detecting Out-of-Distribution Objects CVPR 2026 SCALEX: Scalable Concept and Latent Exploration for Diffusion Models WACV 2026 AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations ICLR 2025 Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models NAACL 2025 Hybrid Concept Bottleneck Models CVPR 2025 Open Ad-hoc Categorization with Contextualized Feature Learning CVPR 2025 Zero-Shot Natural Language Explanations ICLR 2025 CoSy: Evaluating Textual Explanations of Neurons NeurIPS 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 Symbolic Regression with a Learned Concept Library NeurIPS 2024 Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision AAAI 2024 Understanding Video Transformers via Universal Concept Discovery CVPR 2024 Unsupervised Concept Discovery Mitigates Spurious Correlations ICML 2024 Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models CVPR 2024 WWW: A Unified Framework for Explaining What Where and Why of Neural Networks by Interpretation of Neuron Concepts CVPR 2024 ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation CVPR 2023 CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks ICLR 2023 ConceptX: A Framework for Latent Concept Analysis AAAI 2023 Corrupting Neuron Explanations of Deep Visual Features ICCV 2023 Identifying Interpretable Subspaces in Image Representations ICML 2023 Prototype-based Dataset Comparison ICCV 2023 Towards a fuller understanding of neurons with Clustered Compositional Explanations NeurIPS 2023 Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models ICCV 2023 Unveiling Concepts Learned by a World-Class Chess-Playing Agent IJCAI 2023