@@ -381,17 +381,44 @@ We present the results of ABL as follows, which include the reasoning accuracy ( | |||
- `DeepProbLog <https://github.com/ML-KULeuven/deepproblog>`_: An extension of ProbLog by introducing neural predicates in Probabilistic Logic Programming; | |||
- `DeepStochLog <https://github.com/ML-KULeuven/deepstochlog>`_: A neural-symbolic framework based on stochastic logic program. | |||
.. table:: | |||
:class: centered | |||
+--------------+----------+------------------------------+ | |||
| Method | Accuracy | Time to achieve the Acc. (s) | | |||
+==============+==========+==============================+ | |||
| NeurASP | 0.962 | 966 | | |||
+--------------+----------+------------------------------+ | |||
| DeepProbLog | 0.971 | 2045 | | |||
+--------------+----------+------------------------------+ | |||
| DeepStochLog | 0.975 | 257 | | |||
+--------------+----------+------------------------------+ | |||
| ABL | 0.981 | 47 | | |||
+--------------+----------+------------------------------+ | |||
.. raw:: html | |||
<style type="text/css"> | |||
.tg {border-collapse:collapse;border-spacing:0;margin-bottom:20px;} | |||
.tg td, .tg th {border:1px solid #ddd;padding:10px 15px;text-align:center;} | |||
.tg th {background-color:#f5f5f5;color:#333333;} | |||
.tg tr:nth-child(even) {background-color:#f9f9f9;} | |||
.tg tr:nth-child(odd) {background-color:#ffffff;} | |||
</style> | |||
<table class="tg" style="margin-left: auto; margin-right: auto;"> | |||
<thead> | |||
<tr> | |||
<th>Method</th> | |||
<th>Accuracy</th> | |||
<th>Time to achieve the Acc. (s)</th> | |||
</tr> | |||
</thead> | |||
<tbody> | |||
<tr> | |||
<td>NeurASP</td> | |||
<td>96.2</td> | |||
<td>966</td> | |||
</tr> | |||
<tr> | |||
<td>DeepProbLog</td> | |||
<td>97.1</td> | |||
<td>2045</td> | |||
</tr> | |||
<tr> | |||
<td>DeepStochLog</td> | |||
<td>97.5</td> | |||
<td>257</td> | |||
</tr> | |||
<tr> | |||
<td>ABL</td> | |||
<td><span style="font-weight:bold">98.1</span></td> | |||
<td><span style="font-weight:bold">47</span></td> | |||
</tr> | |||
</tbody> | |||
</table> |
@@ -56,9 +56,34 @@ We present the results of ABL as follows, which include the reasoning accuracy ( | |||
- [**DeepProbLog**](https://github.com/ML-KULeuven/deepproblog): An extension of ProbLog by introducing neural predicates in Probabilistic Logic Programming; | |||
- [**DeepStochLog**](https://github.com/ML-KULeuven/deepstochlog): A neural-symbolic framework based on stochastic logic program. | |||
| Method | Accuracy | Time to achieve the Acc. (s) | | |||
| :----------: | :------: | :--------------------------: | | |||
| NeurASP | 0.962 | 966 | | |||
| DeepProbLog | 0.971 | 2045 | | |||
| DeepStochLog | 0.975 | 257 | | |||
| ABL | 0.981 | 47 | | |||
<table class="tg" style="margin-left: auto; margin-right: auto;"> | |||
<thead> | |||
<tr> | |||
<th>Method</th> | |||
<th>Accuracy</th> | |||
<th>Time to achieve the Acc. (s)</th> | |||
</tr> | |||
</thead> | |||
<tbody> | |||
<tr> | |||
<td>NeurASP</td> | |||
<td>96.2</td> | |||
<td>966</td> | |||
</tr> | |||
<tr> | |||
<td>DeepProbLog</td> | |||
<td>97.1</td> | |||
<td>2045</td> | |||
</tr> | |||
<tr> | |||
<td>DeepStochLog</td> | |||
<td>97.5</td> | |||
<td>257</td> | |||
</tr> | |||
<tr> | |||
<td>ABL</td> | |||
<td><span style="font-weight:bold">98.1</span></td> | |||
<td><span style="font-weight:bold">47</span></td> | |||
</tr> | |||
</tbody> | |||
</table> |
@@ -479,12 +479,45 @@ | |||
"cell_type": "markdown", | |||
"metadata": {}, | |||
"source": [ | |||
"| Method | Accuracy | Time to achieve the Acc. (s) |\n", | |||
"| :----------: | :------: | :--------------------------: |\n", | |||
"| NeurASP | 0.962 | 966 |\n", | |||
"| DeepProbLog | 0.971 | 2045 |\n", | |||
"| DeepStochLog | 0.975 | 257 |\n", | |||
"| ABL | 0.981 | 47 |" | |||
"<style type=\"text/css\">\n", | |||
".tg {border-collapse:collapse;border-spacing:0;margin-bottom:20px;}\n", | |||
".tg td, .tg th {border:1px solid #ddd;padding:10px 15px;text-align:center;}\n", | |||
".tg th {background-color:#f5f5f5;color:#333333;}\n", | |||
".tg tr:nth-child(even) {background-color:#f9f9f9;}\n", | |||
".tg tr:nth-child(odd) {background-color:#ffffff;}\n", | |||
"</style>\n", | |||
"\n", | |||
"<table class=\"tg\" style=\"margin-left: auto; margin-right: auto;\">\n", | |||
"<thead>\n", | |||
"<tr>\n", | |||
" <th>Method</th>\n", | |||
" <th>Accuracy</th>\n", | |||
" <th>Time to achieve the Acc. (s)</th>\n", | |||
"</tr>\n", | |||
"</thead>\n", | |||
"<tbody>\n", | |||
"<tr>\n", | |||
" <td>NeurASP</td>\n", | |||
" <td>96.2</td>\n", | |||
" <td>966</td>\n", | |||
"</tr>\n", | |||
"<tr>\n", | |||
" <td>DeepProbLog</td>\n", | |||
" <td>97.1</td>\n", | |||
" <td>2045</td>\n", | |||
"</tr>\n", | |||
"<tr>\n", | |||
" <td>DeepStochLog</td>\n", | |||
" <td>97.5</td>\n", | |||
" <td>257</td>\n", | |||
"</tr>\n", | |||
"<tr>\n", | |||
" <td>ABL</td>\n", | |||
" <td><span style=\"font-weight:bold\">98.1</span></td>\n", | |||
"<td><span style=\"font-weight:bold\">47</span></td>\n", | |||
"</tr>\n", | |||
"</tbody>\n", | |||
"</table>\n" | |||
] | |||
} | |||
], | |||
@@ -504,7 +537,7 @@ | |||
"name": "python", | |||
"nbconvert_exporter": "python", | |||
"pygments_lexer": "ipython3", | |||
"version": "3.8.13" | |||
"version": "3.8.18" | |||
}, | |||
"orig_nbformat": 4, | |||
"vscode": { | |||