1. Alexei Baevski , Wei-Ning Hsu , Qiantong Xu , Arun Babu , Jiatao Gu , and Michael Auli . 2022. Data2vec: A general framework for self-supervised learning in speech, vision and language. arXiv preprint arXiv:2202.03555 ( 2022 ). Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, and Michael Auli. 2022. Data2vec: A general framework for self-supervised learning in speech, vision and language. arXiv preprint arXiv:2202.03555 (2022).
2. Hangbo Bao , Li Dong , Songhao Piao , and Furu Wei . 2022 . BEiT: BERT Pre-Training of Image Transformers. In International Conference on Learning Representations. Hangbo Bao, Li Dong, Songhao Piao, and Furu Wei. 2022. BEiT: BERT Pre-Training of Image Transformers. In International Conference on Learning Representations.
3. Food-101 – Mining Discriminative Components with Random Forests
4. Kaidi Cao , Maria Brbic , and Jure Leskovec . 2022 . Open-World Semi-Supervised Learning. In International Conference on Learning Representations. Kaidi Cao, Maria Brbic, and Jure Leskovec. 2022. Open-World Semi-Supervised Learning. In International Conference on Learning Representations.
5. Shoufa Chen , Chongjian Ge , Zhan Tong , Jiangliu Wang , Yibing Song , Jue Wang , and Ping Luo . 2022. AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition. Advances in Neural Information Processing Systems ( 2022 ). Shoufa Chen, Chongjian Ge, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang, and Ping Luo. 2022. AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition. Advances in Neural Information Processing Systems (2022).