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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| arxiv 2203.07845 |
| Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification | Shafa Balaram, Cuong M. Nguyen, Ashraf Kassim | 2022 | arxiv 2209.01858 |
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| Data Feedback Loops: Model-driven Amplification of Dataset Biases | Rohan Taori, Tatsunori B. Hashimoto | 2022 | arxiv 2209.03942 |
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| Few-Shot Non-Parametric Learning with Deep Latent Variable Model | Zhiying Jiang, Yiqin Dai, Ji Xin | 2022 | arxiv 2206.11573 |
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| Revisiting Global Pooling through the Lens of Optimal Transport | Minjie Cheng, Hongteng Xu | 2022 | arxiv 2201.09191 |
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| Tuning of Mixture-of-Experts Mixed-Precision Neural Networks | Fabian Tschopp | 2022 | arxiv 2209.15427 |
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| Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks | Vahid Partovi Nia, Alireza Ghaffari, Mahdi Zolnouri | 2022 | arxiv 2202.09275 |
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| FocusNet: Classifying Better by Focusing on Confusing Classes | Xue Zhang, Zehua Sheng, Hui-Liang Shen | 2021 | arxiv 2110.07307 |
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| On Divergence Measures for Bayesian Pseudocoresets | Balhae Kim, Jungwon Choi, Seanie Lee | 2022 | arxiv 2210.06205 |
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| Recommending Accurate and Diverse Items Using Bilateral Branch Network | Yile Liang, Tieyun Qian | 2021 | arxiv 2101.00781 |
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| ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding | Qiming Peng, Yinxu Pan, Wenjin Wang | 2022 | arxiv 2210.06155 |
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