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9 Results
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Workshop
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Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models Nishad Singhi · Karsten Roth · Jae Myung Kim · Zeynep Akata |
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Poster
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Fri 7:30 |
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xinyue Xu · Yi Qin · Lu Mi · Hao Wang · Xiaomeng Li |
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Poster
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Wed 7:30 |
Faithful Vision-Language Interpretation via Concept Bottleneck Models Songning Lai · Lijie Hu · Junxiao Wang · Laure Berti-Equille · Di Wang |
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Poster
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Thu 7:30 |
Concept Bottleneck Generative Models Aya Abdelsalam Ismail · Julius Adebayo · Hector Corrada Bravo · Stephen Ra · Kyunghyun Cho |
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Poster
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Thu 7:30 |
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models Yangming Li · Boris van Breugel · Mihaela van der Schaar |
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Workshop
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Pre-training Concept Frequency is predictive of CLIP Zero-shot Performance Vishaal Udandarao · Ameya Prabhu · Philip Torr · Adel Bibi · Samuel Albanie · Matthias Bethge |
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Poster
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Fri 1:45 |
Circumventing Concept Erasure Methods For Text-To-Image Generative Models Minh Pham · Kelly Marshall · Niv Cohen · Govind Mittal · Chinmay Hegde |
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Workshop
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Concept-aware Data Construction Improves In-context Learning of Language Models Michal Štefánik · Marek Kadlčík · Petr Sojka |
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Poster
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Thu 7:30 |
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? Yu-Lin Tsai · Chia-Yi Hsu · Chulin Xie · Chih-Hsun Lin · Jia You Chen · Bo Li · Pin-Yu Chen · Chia-Mu Yu · Chun-Ying Huang |