| 0xricksanchez/paper_collection |
1,113 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| Academic papers related to fuzzing, binary analysis, and exploit dev, which I want to read or have already read |
| thunlp/NREPapers |
704 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
|
TeX |
| Must-read papers on neural relation extraction (NRE) |
| assafshocher/ZSSR |
218 |
|
0 |
0 |
over 6 years ago |
0 |
|
11 |
other |
Python |
| "Zero-Shot" Super-Resolution using Deep Internal Learning |
| BayesWatch/deep-kernel-transfer |
142 |
|
0 |
0 |
about 4 years ago |
0 |
|
6 |
|
Python |
| Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020) |
| cloudsec/research |
122 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
|
| the core papers i researched about kernel security. |
| markvdw/convgp |
77 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
apache-2.0 |
Jupyter Notebook |
| Convolutional Gaussian processes based on GPflow. |
| KangchengHou/gntk |
63 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| Implementation of Graph Neural Tangent Kernel (NeurIPS 2019) |
| z-bingo/Deformable-Kernels-For-Video-Denoising |
61 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
Python |
| An implement of paper Learning Deformable Kernels for Image and Video Denoising in PyTorch |
| BorgwardtLab/WWL |
59 |
|
0 |
0 |
over 3 years ago |
2 |
December 02, 2019 |
2 |
bsd-3-clause |
Python |
| Wasserstein Weisfeiler-Lehman Graph Kernels |
| NEU-Gou/kernel-metric-learning-reid |
46 |
|
0 |
0 |
almost 10 years ago |
0 |
|
0 |
|
Matlab |
| Implementation for paper "Person re-identification using kernel-based metric learning methods" |
