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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| arxiv 2504.11588 |
| Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters | Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi | 2025 | arxiv 2501.14122 |
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| Explaining Representation by Mutual Information | Lifeng Gu | 2021 | arxiv 2103.15114 |
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| Neural network task specialization via domain constraining | Roman Malashin, Daniil Ilyukhin | 2025 | arxiv 2504.19592 |
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| Review helps learn better: Temporal Supervised Knowledge Distillation | Dongwei Wang, Zhi Han, Yanmei Wang | 2023 | arxiv 2307.00811 |
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| Achieving 3D Attention via Triplet Squeeze and Excitation Block | Maan Alhazmi, Abdulrahman Altahhan | 2025 | arxiv 2505.05943 |
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| Swapped Logit Distillation via Bi-level Teacher Alignment | Stephen Ekaputra Limantoro, Jhe-Hao Lin, Chih-Yu Wang | 2025 | arxiv 2504.20108 |
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| GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values | Farnoosh Javadi, Walid Ahmed, Habib Hajimolahoseini | 2023 | arxiv 2311.03426 |
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| Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need | Qiang Wang, Xiang Song, Yuhang He | 2025 | arxiv 2505.23744 |
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| Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs | Lu Chen, Han Yang, Hu Wang | 2025 | arxiv 2506.12875 |
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| Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference | Terrance Liu, Matteo Boglioni, Yiwei Fu | 2025 | arxiv 2506.15349 |
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