From 94976d1f3e0b17c54575c746bcbbd8e8512f5080 Mon Sep 17 00:00:00 2001
From: prithagupta <prithag@mail.uni-paderborn.de>
Date: Fri, 16 Aug 2024 20:59:25 +0200
Subject: [PATCH] Updated the title fontsize

---
 docs/source/references.rst | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/docs/source/references.rst b/docs/source/references.rst
index eefb7c6..a9359da 100644
--- a/docs/source/references.rst
+++ b/docs/source/references.rst
@@ -4,8 +4,9 @@
 List of references for the implemented learning algorithms, AutoML tools and baseline mutual information estimators
 
 
+^^^^^^^^^^^^^^^^^^^^^^
 📊 Learning Algorithms
-======================
+^^^^^^^^^^^^^^^^^^^^^^
 - `Multi-Layer Perceptron (MLP) <https://www.researchgate.net/publication/35657389_Beyond_regression_new_tools_for_prediction_and_analysis_in_the_behavioral_sciences>`_: Werbos (1974)
 - `Consistency MLP <https://dl.acm.org/doi/10.1016/S0893-6080(09)80011-7>`_: Mielniczuk et al. (1993)
 - `Random Forest (RF) <https://doi.org/10.1023/A:1010933404324>`_: Breiman (2001)
@@ -16,13 +17,14 @@ List of references for the implemented learning algorithms, AutoML tools and bas
 - `Classifier Calibration <https://dl.acm.org/doi/10.1007/s10994-023-06336-7>`_: Filho et al. (2023)
 
 
+^^^^^^^^^^^^^^^^
 🤖 AutoML Tools
-===============
+^^^^^^^^^^^^^^^^
 - `TabPFN <https://arxiv.org/abs/2207.01848>`_: Hollmann et al. (2023)
 - `AutoGluon <https://arxiv.org/abs/2003.06505>`_: Erickson et al. (2022)
 
-
+^^^^^^^^^^^^^^^^^^^^^^^^^^
 🚀 Baseline MI Estimators
-=========================
+^^^^^^^^^^^^^^^^^^^^^^^^^^
 - `Mutual Information Neural Estimation (MINE) <https://proceedings.mlr.press/v80/belghazi18a/belghazi18a.pdf>`_: Belghazi et al. (2018)
 - `PC-softmax <https://arxiv.org/abs/1911.10688>`_: Qin et al. (2020)