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EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods., , , , , , , and . CoRR, (2023)Explaining CLIP's performance disparities on data from blind/low vision users., , , , , and . CoRR, (2023)NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 36138-36156. PMLR, (2023)Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning., , , and . AAAI, page 11024-11031. AAAI Press, (2024)FlipDial: A Generative Model for Two-Way Visual Dialogue., , , and . CVPR, page 6097-6105. Computer Vision Foundation / IEEE Computer Society, (2018)Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation., , , , , and . EMMCVPR, volume 10746 of Lecture Notes in Computer Science, page 263-277. Springer, (2017)ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition., , , , , , , , and . ICCV, page 10798-10808. IEEE, (2021)Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision., , , , , , and . ASSETS, page 31:1-31:12. ACM, (2023)Memory Efficient Meta-Learning with Large Images., , , , , and . NeurIPS, page 24327-24339. (2021)Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks., , , , and . ICLR, OpenReview.net, (2023)