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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2021 |
| arxiv 2106.10889 |
| Reliable Probability Intervals For Classification Using Inductive Venn Predictors Based on Distance Learning | Dimitrios Boursinos, Xenofon Koutsoukos | 2021 | arxiv 2110.03127 |
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| Instance-based Label Smoothing For Better Calibrated Classification Networks | Mohamed Maher, Meelis Kull | 2021 | arxiv 2110.05355 |
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| Trade-offs of Local SGD at Scale: An Empirical Study | Jose Javier Gonzalez Ortiz, Jonathan Frankle, Mike Rabbat | 2021 | arxiv 2110.08133 |
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| MUSE: Feature Self-Distillation with Mutual Information and Self-Information | Yu Gong, Ye Yu, Gaurav Mittal | 2021 | arxiv 2110.12606 |
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| Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network | Tianshu Xie, Xuan Cheng, Minghui Liu | 2021 | arxiv 2103.05342 |
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| Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation | Misgana Negassi, Diane Wagner, Alexander Reiterer | 2021 | arxiv 2111.00487 |
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| Two-step adversarial debiasing with partial learning -- medical image case-studies | Ramon Correa, Jiwoong Jason Jeong, Bhavik Patel | 2021 | arxiv 2111.08711 |
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| SpaceMeshLab: Spatial Context Memoization and Meshgrid Atrous Convolution Consensus for Semantic Segmentation | Taehun Kim, Jinseong Kim, Daijin Kim | 2021 | arxiv 2106.04025 |
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| Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data | Guan-Rong Lu, Yueh-Cheng Liu, Tung-I Chen | 2021 | arxiv 2111.14343 |
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| Curriculum Meta-Learning for Few-shot Classification | Emmanouil Stergiadis, Priyanka Agrawal, Oliver Squire | 2021 | arxiv 2112.02913 |
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