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Token Merging: Your ViT But Faster, , , , , and . (2022)cite arxiv:2210.09461Comment: Accepted ICLR 2023 Oral (top 5%) final v2. This version includes stable diffusion experiments. See code at https://github.com/facebookresearch/ToMe.Scalable Diverse Model Selection for Accessible Transfer Learning., , and . NeurIPS, page 19301-19312. (2021)ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings., , , , and . NeurIPS, (2022)Can domain adaptation make object recognition work for everyone?, , , and . CVPR Workshops, page 3980-3987. IEEE, (2022)Token Merging: Your ViT But Faster., , , , , and . ICLR, OpenReview.net, (2023)Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles., , , , , , , , , and 3 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 29441-29454. PMLR, (2023)Simultaneous Deep Transfer Across Domains and Tasks., , , and . Domain Adaptation in Computer Vision Applications, Springer, (2017)Window Attention is Bugged: How not to Interpolate Position Embeddings., , , and . CoRR, (2023)Mitigating Bias in Visual Transformers via Targeted Alignment., , , and . CoRR, (2023)Quantification in-the-wild: data-sets and baselines., , , , , , and . CoRR, (2015)