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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2021 |
| arxiv 2108.05894 |
| Adversarial Robustness for Unsupervised Domain Adaptation | Muhammad Awais, Fengwei Zhou, Hang Xu | 2021 | arxiv 2109.00946 |
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| Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition | Kai Wang, Xialei Liu, Andy Bagdanov | 2021 | arxiv 2111.04993 |
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| Efficient Conditional Pre-training for Transfer Learning | Shuvam Chakraborty, Burak Uzkent, Kumar Ayush | 2020 | arxiv 2011.10231 |
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| Budget-aware Few-shot Learning via Graph Convolutional Network | Shipeng Yan, Songyang Zhang, Xuming He | 2022 | arxiv 2201.02304 |
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| Adaptive Aggregation Networks for Class-Incremental Learning | Yaoyao Liu, Bernt Schiele, Qianru Sun | 2020 | arxiv 2010.05063 |
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| Three things everyone should know about Vision Transformers | Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby | 2022 | arxiv 2203.09795 |
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| Effective Shortcut Technique for GAN | Seung Park, Cheol-Hwan Yoo, Yong-Goo Shin | 2022 | arxiv 2201.11351 |
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| EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling | Mitch Hill, Jonathan Mitchell, Chu Chen | 2022 | arxiv 2205.12243 |
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| Continual Contrastive Learning for Image Classification | Zhiwei Lin, Yongtao Wang, Hongxiang Lin | 2021 | arxiv 2107.01776 |
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| Balanced softmax cross-entropy for incremental learning with and without memory | Quentin Jodelet, Xin Liu, Tsuyoshi Murata | 2021 | arxiv 2103.12532 |
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