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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| arxiv 2403.14252 |
| Coreset Selection for Object Detection | Hojun Lee, Suyoung Kim, Junhoo Lee | 2024 | arxiv 2404.09161 |
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| Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models | Matthew Kowal, Richard P. Wildes, Konstantinos G. Derpanis | 2024 | arxiv 2404.02233 |
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| Sound Randomized Smoothing in Floating-Point Arithmetics | Václav Voráček, Matthias Hein | 2022 | arxiv 2207.07209 |
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| Equivariance with Learned Canonicalization Functions | Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang | 2022 | arxiv 2211.06489 |
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| ECO: Ensembling Context Optimization for Vision-Language Models | Lorenzo Agnolucci, Alberto Baldrati, Francesco Todino | 2023 | arxiv 2307.14063 |
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| Higher Chest X-ray Resolution Improves Classification Performance | Alessandro Wollek, Sardi Hyska, Bastian Sabel | 2023 | arxiv 2306.06051 |
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| Feature Embedding by Template Matching as a ResNet Block | Ada Gorgun, Yeti Z. Gurbuz, A. Aydin Alatan | 2022 | arxiv 2210.00992 |
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| Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts | Jiaxuan Li, Duc Minh Vo, Hideki Nakayama | 2023 | arxiv 2308.10005 |
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| Bayesian Optimization Meets Self-Distillation | HyunJae Lee, Heon Song, Hyeonsoo Lee | 2023 | arxiv 2304.12666 |
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| TensorProjection Layer: A Tensor-Based Dimension Reduction Method in Deep Neural Networks | Toshinari Morimoto, Su-Yun Huang | 2020 | arxiv 2004.04454 |
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