% Key papers for Language-grounded visual concept learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2017_dense_12194, title = {{Dense Captioning With Joint Inference and Visual Context}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2020_pastanet_16018, title = {{PaStaNet: Toward Human Activity Knowledge Engine}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{iclr2019_the_29155, title = {{The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2019}, url = {https://iclr.cc/virtual/2019/poster/843}, } @inproceedings{icml2022_multi_40852, title = {{Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2022}, url = {https://icml.cc/virtual/2022/poster/17335}, } @inproceedings{aaai2017_imagined_104577, title = {{Imagined Visual Representations as Multimodal Embeddings}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11155}, } @inproceedings{iclr2018_scan_28690, title = {{SCAN: Learning Hierarchical Compositional Visual Concepts}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2018}, url = {https://iclr.cc/virtual/2018/poster/150}, } @inproceedings{cvpr2021_right_17765, title = {{Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{neurips2020_compositional_59558, title = {{Compositional Explanations of Neurons}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18926}, } @inproceedings{cvpr2020_learning_15786, title = {{Learning Unseen Concepts via Hierarchical Decomposition and Composition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2021_a_16541, title = {{A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{neurips2019_visual_59186, title = {{Visual Concept-Metaconcept Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13644}, } @inproceedings{aaai2018_acquiring_103980, title = {{Acquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/12239}, } @inproceedings{aaai2024_mica_6579, title = {{MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/27842}, } @inproceedings{cvpr2018_deep_12983, title = {{Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Kim_Deep_Sparse_Coding_CVPR_2018_paper.html}, } @inproceedings{cvpr2022_interactive_19092, title = {{Interactive Disentanglement: Learning Concepts by Interacting With Their Prototype Representations}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2021_dynamic_16919, title = {{Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2023_givl_21044, title = {{GIVL: Improving Geographical Inclusivity of Vision-Language Models With Pre-Training Methods}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22811}, } @inproceedings{cvpr2023_grounding_21106, title = {{Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/21868}, } @inproceedings{cvpr2025_design2garmentcode_25903, title = {{Design2GarmentCode: Turning Design Concepts to Tangible Garments Through Program Synthesis}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33416}, } @inproceedings{cvpr2024_modeling_24176, title = {{Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30909}, } @inproceedings{aaai2024_ores_6804, title = {{ORES: Open-Vocabulary Responsible Visual Synthesis}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30144}, } @inproceedings{cvpr2024_visual_25244, title = {{Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29374}, } @inproceedings{iclr2025_the_81450, title = {{The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/30324}, } @inproceedings{iclr2026_into_88662, title = {{Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=pbbRmnFkjG}, } @inproceedings{neurips2024_language_71157, title = {{Language Model as Visual Explainer}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96068}, } @inproceedings{neurips2024_a_71815, title = {{A Concept-Based Explainability Framework for Large Multimodal Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95482}, } @inproceedings{cvpr2024_interpretable_23833, title = {{Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31302}, } @inproceedings{neurips2024_lg_71800, title = {{LG-CAV: Train Any Concept Activation Vector with Language Guidance}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95495}, } @inproceedings{aaai2024_interactive_6342, title = {{Interactive Visual Task Learning for Robots}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28896}, } @inproceedings{cvpr2024_concon_23009, title = {{ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29409}, } @inproceedings{cvpr2025_coe_25722, title = {{CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33498}, } @inproceedings{icml2026_the_52920, title = {{The Geometry of Representational Failures in Vision Language Models}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=aH4SdgRaW7}, } @inproceedings{neurips2024_neural_74599, title = {{Neural Concept Binder}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/92990}, } @inproceedings{aaai2026_s2_106958, title = {{S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/39310}, } @inproceedings{cvpr2025_discovering_25957, title = {{Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33310}, } @inproceedings{cvpr2025_improving_26608, title = {{Improving Personalized Search with Regularized Low-Rank Parameter Updates}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/35065}, } @inproceedings{cvpr2025_open_27151, title = {{Open Ad-hoc Categorization with Contextualized Feature Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34699}, }