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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Adaptive Cumulative Mass Calibration with Conformal Prediction | Daniil Kazantsev, Eric Moulines, Maxim Panov | 2025 | arxiv 2505.15437 |
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| IoUCert: Robustness Verification for Anchor-based Object Detectors | Benedikt Brückner, Alejandro J. Mercado, Yanghao Zhang | 2026 | arxiv 2603.03043 |
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| Federated Multi-Target Domain Adaptation | Chun-Han Yao, Boqing Gong, Yin Cui | 2021 | arxiv 2108.07792 |
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| Impact of Aliasing on Generalization in Deep Convolutional Networks | Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin | 2021 | arxiv 2108.03489 |
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| MLPerf Tiny Benchmark | Colby Banbury, Vijay Janapa Reddi, Peter Torelli | 2021 | arxiv 2106.07597 |
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| Early-exit deep neural networks for distorted images: providing an efficient edge offloading | Roberto G. Pacheco, Fernanda D.V.R. Oliveira, Rodrigo S. Couto | 2021 | arxiv 2108.09343 |
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| TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation | Cong Wang, Haocheng Han, Caleb Chen Cao | 2021 | arxiv 2108.04238 |
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| Content and Context Features for Scene Image Representation | Chiranjibi Sitaula, Sunil Aryal, Yong Xiang | 2020 | arxiv 2006.03217 |
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| mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets | Rui Gong, Dengxin Dai, Yuhua Chen | 2020 | arxiv 2012.08385 |
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| Higher-Order Explanations of Graph Neural Networks via Relevant Walks | Thomas Schnake, Oliver Eberle, Jonas Lederer | 2020 | arxiv 2006.03589 |
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