| @@ -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": { | |||