Loading the SOTA2 catalog…
SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| arxiv 1802.01435 |
| Hierarchical Representations for Efficient Architecture Search | Hanxiao Liu, Karen Simonyan, Oriol Vinyals | 2017 | arxiv 1711.00436 |
|---|
| Adversarially Robust Generalization Requires More Data | Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras | 2018 | arxiv 1804.11285 |
|---|
| Composite Binary Decomposition Networks | You Qiaoben, Zheng Wang, Jianguo Li | 2018 | arxiv 1811.06668 |
|---|
| Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition | Aravind Ravi | 2018 | arxiv 1812.06387 |
|---|
| Deep CNN-based Multi-task Learning for Open-Set Recognition | Poojan Oza, Vishal M. Patel | 2019 | arxiv 1903.03161 |
|---|
| Augmenting Data with Mixup for Sentence Classification: An Empirical Study | Hongyu Guo, Yongyi Mao, Richong Zhang | 2019 | arxiv 1905.08941 |
|---|
| Gradient Weighted Superpixels for Interpretability in CNNs | Thomas Hartley, Kirill Sidorov, Christopher Willis | 2019 | arxiv 1908.08997 |
|---|
| Density estimation in representation space to predict model uncertainty | Tiago Ramalho, Miguel Miranda | 2019 | arxiv 1908.07235 |
|---|
| Information Competing Process for Learning Diversified Representations | Jie Hu, Rongrong Ji, ShengChuan Zhang | 2019 | arxiv 1906.01288 |
|---|
| Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation | Idoia Ruiz, Bogdan Raducanu, Rakesh Mehta | 2018 | arxiv 1812.02937 |
|---|