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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Johannes Schneider, Michalis Vlachos |
| 2020 |
| arxiv 2011.13986 |
| Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy | Jian-Ping Mei, Weibin Zhang, Jie Chen | 2025 | arxiv 2503.12497 |
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| Self-Supervised Domain Adaptation with Consistency Training | L. Xiao, J. Xu, D. Zhao | 2020 | arxiv 2010.07539 |
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| Deep convolutional tensor network | Philip Blagoveschensky, Anh Huy Phan | 2020 | arxiv 2005.14506 |
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| HPC AI500: Representative, Repeatable and Simple HPC AI Benchmarking | Zihan Jiang, Wanling Gao, Fei Tang | 2021 | arxiv 2102.12848 |
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| DAP: Detection-Aware Pre-training with Weak Supervision | Yuanyi Zhong, Jianfeng Wang, Lijuan Wang | 2021 | arxiv 2103.16651 |
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| Extreme Memorization via Scale of Initialization | Harsh Mehta, Ashok Cutkosky, Behnam Neyshabur | 2020 | arxiv 2008.13363 |
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| Exploring Instance Relations for Unsupervised Feature Embedding | Yifei Zhang, Yu Zhou, Weiping Wang | 2021 | arxiv 2105.03341 |
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| Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers | Yujia Bao, Shiyu Chang, Regina Barzilay | 2021 | arxiv 2105.12628 |
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| Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning | Muhammad Tayyab, Fahad Ahmad Khan, Abhijit Mahalanobis | 2021 | arxiv 2105.10436 |
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