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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| VGGSound: A Large-scale Audio-Visual Dataset | Honglie Chen, Weidi Xie, Andrea Vedaldi | 2020 | arxiv 2004.14368 |
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| Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers | Diego Gragnaniello, Francesco Marra, Giovanni Poggi | 2019 | arxiv 1902.07776 |
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| Scalable NAS with Factorizable Architectural Parameters | Lanfei Wang, Lingxi Xie, Tianyi Zhang | 2019 | arxiv 1912.13256 |
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| Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks | Yoonho Boo, Sungho Shin, Jungwook Choi | 2020 | arxiv 2009.14502 |
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| Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks | Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar | 2020 | arxiv 2010.04249 |
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| Learning to Rank for Active Learning: A Listwise Approach | Minghan Li, Xialei Liu, Joost van de Weijer | 2020 | arxiv 2008.00078 |
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| Malaria detection from RBC images using shallow Convolutional Neural Networks | Subrata Sarkar, Rati Sharma, Kushal Shah | 2020 | arxiv 2010.11521 |
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| Simple iterative method for generating targeted universal adversarial perturbations | Hokuto Hirano, Kazuhiro Takemoto | 2019 | arxiv 1911.06502 |
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| Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks | MaungMaung AprilPyone, Hitoshi Kiya | 2020 | arxiv 2011.07697 |
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| Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts | Tiago Azevedo, René de Jong, Matthew Mattina | 2020 | arxiv 2009.02967 |
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