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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Jose Sosa, Serge Sharoff |
| 2022 |
| arxiv 2204.12690 |
| Analysis of convolutional neural network image classifiers in a rotationally symmetric model | Michael Kohler, Benjamin Walter | 2022 | arxiv 2205.05500 |
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| ADMM-SOFTMAX : An ADMM Approach for Multinomial Logistic Regression | Samy Wu Fung, Sanna Tyrväinen, Lars Ruthotto | 2019 | arxiv 1901.09450 |
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| Self-supervised Neural Architecture Search | Sapir Kaplan, Raja Giryes | 2020 | arxiv 2007.01500 |
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| On the Validity of Bayesian Neural Networks for Uncertainty Estimation | John Mitros, Brian Mac Namee | 2019 | arxiv 1912.01530 |
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| Continual Learning with Deep Generative Replay | Hanul Shin, Jung Kwon Lee, Jaehong Kim | 2017 | arxiv 1705.08690 |
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| Nonparametric Stochastic Contextual Bandits | Melody Y. Guan, Heinrich Jiang | 2018 | arxiv 1801.01750 |
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| A Scalable Technique for Weak-Supervised Learning with Domain Constraints | Sudhir Agarwal, Anu Sreepathy, Lalla Mouatadid | 2023 | arxiv 2301.05253 |
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| A Non-monotonic Smooth Activation Function | Koushik Biswas, Meghana Karri, Ulaş Bağc\i | 2023 | arxiv 2310.10126 |
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| Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective | Gihyun Kim, Juyeop Kim, Jong-Seok Lee | 2022 | arxiv 2208.09602 |
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