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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Wenyu Sun, Jian Cao, Pengtao Xu |
| 2020 |
| arxiv 2012.00996 |
| Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions | Jun Wang, Shaoguo Wen, Kaixing Chen | 2020 | arxiv 2012.04829 |
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| Reciprocal Supervised Learning Improves Neural Machine Translation | Minkai Xu, Mingxuan Wang, Zhouhan Lin | 2020 | arxiv 2012.02975 |
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| An Adaptive Performance-oriented Scheduler for Static and Dynamic Heterogeneity | Jing Chen, Pirah Noor Soomro, Mustafa Abduljabbar | 2019 | arxiv 1905.00673 |
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| Knowledge Distillation for Incremental Learning in Semantic Segmentation | Umberto Michieli, Pietro Zanuttigh | 2019 | arxiv 1911.03462 |
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| Counterfactual Generative Networks | Axel Sauer, Andreas Geiger | 2021 | arxiv 2101.06046 |
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| Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases | Ryan Steed, Aylin Caliskan | 2020 | arxiv 2010.15052 |
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| Privacy-Preserving Video Classification with Convolutional Neural Networks | Sikha Pentyala, Rafael Dowsley, Martine De Cock | 2021 | arxiv 2102.03513 |
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| Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Convolutional Neural Network | Rezoana Bente Arif, Md. Abu Bakr Siddique, Mohammad Mahmudur Rahman Khan | 2018 | arxiv 1809.06187 |
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| Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models | Xin Fu, Jia Yan, Cien Fan | 2019 | arxiv 1902.08546 |
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