-
Notifications
You must be signed in to change notification settings - Fork 14
/
paper.bib
189 lines (172 loc) · 5.4 KB
/
paper.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
@Article{Shalev-Shwartz:2011,
author={Shalev-Shwartz, Shai and Singer, Yoram and Srebro, Nathan and Cotter, Andrew},
title={Pegasos: primal estimated sub-gradient solver for SVM},
journal={Mathematical Programming},
year={2011},
month={Mar},
day={01},
volume={127},
number={1},
pages={3-30},
issn={1436-4646},
doi={10.1007/s10107-010-0420-4},
comment={https://www.cs.huji.ac.il/~shais/papers/ShalevSiSrCo10.pdf}
}
@Misc{Lobianco:2020,
author = {Lobianco, Antonello},
title = {Student's notes (2020 run) of the MITx 6.86x course},
howpublished = {GitHub repository},
year = {2020},
url = {https://github.com/sylvaticus/MITx_6.86x},
}
@Misc{Yuret:2016,
author = {Yuret, Deniz},
title = {Knet.jl},
howpublished = {GitHub repository},
year = {2016},
url = {https://github.com/denizyuret/Knet.jl},
}
@software{Blaom:2019,
author = {Anthony Blaom and Franz Kiraly and Thibaut Lienart and Sebastian Vollmer},
title = {MLJ, A Machine Learning Framework for Julia},
year = 2019,
publisher = {Zenodo},
doi = {10.5281/zenodo.3541505},
}
@article{Innes:2018,
author = {Mike Innes},
title = {Flux: Elegant Machine Learning with Julia},
journal = {Journal of Open Source Software},
year = {2018},
doi = {10.21105/joss.00602},
}
% elu function:
@misc{Clevert:2015,
title={Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)},
author={Djork-Arné Clevert and Thomas Unterthiner and Sepp Hochreiter},
year={2015},
eprint={1511.07289},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/1511.07289v5}
}
% celu function...
@misc{Barron:2017,
title={Continuously Differentiable Exponential Linear Units},
author={Jonathan T. Barron},
year={2017},
eprint={1704.07483},
archivePrefix={arXiv},
primaryClass={cs.LG},
url = {https://arxiv.org/abs/1704.07483https://arxiv.org/abs/1704.07483}
}
% plu function...
@misc{Nicolae:2018,
title={PLU: The Piecewise Linear Unit Activation Function},
author={Andrei Nicolae},
year={2018},
eprint={1809.09534},
archivePrefix={arXiv},
primaryClass={cs.NE}
}
% softplus function...
@Article{Glorot:2011,
author = {Glorot, Xavier and Bordes, Antoine and Bengio, Yoshua},
title = {Deep Sparse Rectifier Neural Networks},
journal = {Proceedings of Machine Learning Research},
year = {2011},
volume = {15},
pages = {315-323},
url = {http://proceedings.mlr.press/v15/glorot11a/glorot11a.pdf},
}
% Mish function...
@misc{Misra:2019,
title = {Mish: A Self Regularized Non-Monotonic Neural Activation Function},
author = {Diganta Misra},
year = {2019},
eprint = {1908.08681},
archivePrefix = {arXiv},
primaryClass = {cs.LG},
url = {https://arxiv.org/abs/1908.08681}
}
% Zygote package...
@misc{Innes:2018b,
title={Don't Unroll Adjoint: Differentiating SSA-Form Programs},
author={Michael Innes},
year={2018},
eprint={1810.07951},
archivePrefix={arXiv},
primaryClass={cs.PL},
url={https://arxiv.org/abs/1810.07951}
}
% ADAM Optimisation algorithms
@misc{Kingma:2014,
title={Adam: A Method for Stochastic Optimization},
author={Diederik P. Kingma and Jimmy Ba},
year={2014},
eprint={1412.6980},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/1412.6980}
}
% ScikitLearn.jl package...
@Misc{St-Jean:2020,
author = {St-Jean, Cédric and Okon, Samuel},
title = {ScikitLearn.jl: Julia implementation of the scikit-learn API},
howpublished = {GitHub repository},
year = {2020},
url = {https://github.com/cstjean/ScikitLearn.jl},
}
% AutoMLPipeline.jl package...
@Misc{Paulito:2020,
author = {Palmes, Paulito},
title = { AutoMLPipeline.jl: A package that makes it trivial to create and evaluate machine learning pipeline architectures.},
howpublished = {GitHub repository},
year = {2020},
url = {https://github.com/IBM/AutoMLPipeline.jl},
}
% JuliaCall package
@Article{Li:2019,
author = {Changcheng Li},
title = {{JuliaCall}: an {R} package for seamless integration between {R} and {Julia}},
journal = {The Journal of Open Source Software},
publisher = {The Open Journal},
year = {2019},
volume = {4},
number = {35},
pages = {1284},
doi = {10.21105/joss.01284},
}
% PyJulia
@software{Arakaki:2020,
author = {Takafumi Arakaki and
Jake Bolewski and
Robin Deits and
Keno Fischer and
Steven G. Johnson and
Matthias Bussonnier and
Isaiah Norton and
Páll Haraldsson and
Matthew Rocklin and
Tsur and
Viral B. Shah and
Daniel Soto and
eslgastal and
Elias Kuthe and
jakirkham and
Marius Millea and
grahamgill and
fnmdx111 and
Alex Arslan and
Darren Christopher Lukas and
David Nadlinger and
Lilian Besson and
Sheehan Olver and
Taine Zhao and
scls19fr},
title = {JuliaPy/pyjulia: PyJulia},
month = nov,
year = 2020,
publisher = {Zenodo},
doi = {10.5281/zenodo.4294939},
}