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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks |
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| Sunil Thulasidasan, Gopinath Chennupati, Jeff Bilmes |
| 2019 |
| arxiv 1905.11001 |
| Intelligent Known and Novel Aircraft Recognition -- A Shift from Classification to Similarity Learning for Combat Identification | Ahmad Saeed, Haasha Bin Atif, Usman Habib | 2024 | arxiv 2402.16486 |
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| Scalar Invariant Networks with Zero Bias | Chuqin Geng, Xiaojie Xu, Haolin Ye | 2022 | arxiv 2211.08486 |
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| Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes | Guo-Jun Qi, Wei Liu, Charu Aggarwal | 2017 | arxiv 1703.07519 |
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| Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need | Vighnesh Birodkar, Hossein Mobahi, Samy Bengio | 2019 | arxiv 1901.11409 |
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| Deep transfer learning for detecting Covid-19, Pneumonia and Tuberculosis using CXR images -- A Review | Irad Mwendo, Kinyua Gikunda, Anthony Maina | 2023 | arxiv 2303.16754 |
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| Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks | Mouloud Belbahri, Eyyüb Sari, Sajad Darabi | 2019 | arxiv 1901.06414 |
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| The Importance of Background Information for Out of Distribution Generalization | Jupinder Parmar, Khaled Saab, Brian Pogatchnik | 2022 | arxiv 2206.08794 |
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| An Encryption Method of ConvMixer Models without Performance Degradation | Ryota Iijima, Hitoshi Kiya | 2022 | arxiv 2207.11939 |
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| Strong mixed-integer programming formulations for trained neural networks | Ross Anderson, Joey Huchette, Will Ma | 2018 | arxiv 1811.01988 |
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