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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| R2-MLP: Round-Roll MLP for Multi-View 3D Object Recognition | Shuo Chen, Tan Yu, Ping Li | 2022 | arxiv 2211.11085 |
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| Learning Representational Invariances for Data-Efficient Action Recognition | Yuliang Zou, Jinwoo Choi, Qitong Wang | 2021 | arxiv 2103.16565 |
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| On Learning the Structure of Clusters in Graphs | Peter Macgregor | 2022 | arxiv 2212.14345 |
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| Inference Time Evidences of Adversarial Attacks for Forensic on Transformers | Hugo Lemarchant, Liangzi Li, Yiming Qian | 2023 | arxiv 2301.13356 |
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| LiT Tuned Models for Efficient Species Detection | Andre Nakkab, Benjamin Feuer, Chinmay Hegde | 2023 | arxiv 2302.10281 |
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| Multi-Similarity Contrastive Learning | Emily Mu, John Guttag, Maggie Makar | 2023 | arxiv 2307.02712 |
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| Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization | Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen | 2023 | arxiv 2304.08309 |
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| Fine-grained Species Recognition with Privileged Pooling: Better Sample Efficiency Through Supervised Attention | Andres C. Rodriguez, Stefano D'Aronco, Konrad Schindler | 2020 | arxiv 2003.09168 |
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| Sample-Specific Debiasing for Better Image-Text Models | Peiqi Wang, Yingcheng Liu, Ching-Yun Ko | 2023 | arxiv 2304.13181 |
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| An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment | David Freire-Obregón, Javier Lorenzo-Navarro, Oliverio J. Santana | 2023 | arxiv 2307.12183 |
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