diff --git a/test/Microsoft.ML.Tests/DatabaseLoaderTests.cs b/test/Microsoft.ML.Tests/DatabaseLoaderTests.cs
index 924b4190e5..9595d35af1 100644
--- a/test/Microsoft.ML.Tests/DatabaseLoaderTests.cs
+++ b/test/Microsoft.ML.Tests/DatabaseLoaderTests.cs
@@ -170,8 +170,6 @@ public void IrisVectorLightGbm()
         }
 
         [LightGBMFact]
-        //Skipping test temporarily. This test will be re-enabled once the cause of failures has been determined
-        [Trait("Category", "SkipInCI")]
         public void IrisVectorLightGbmWithLoadColumnName()
         {
             if (!RuntimeInformation.IsOSPlatform(OSPlatform.Windows))
diff --git a/test/Microsoft.ML.Tests/FeatureContributionTests.cs b/test/Microsoft.ML.Tests/FeatureContributionTests.cs
index eb88d767d9..fa5132d2ce 100644
--- a/test/Microsoft.ML.Tests/FeatureContributionTests.cs
+++ b/test/Microsoft.ML.Tests/FeatureContributionTests.cs
@@ -91,8 +91,6 @@ public void TestPoissonRegression()
         }
 
         [Fact]
-        //Skipping test temporarily. This test will be re-enabled once the cause of failures has been determined
-        [Trait("Category", "SkipInCI")]
         public void TestGAMRegression()
         {
             TestFeatureContribution(ML.Regression.Trainers.Gam(), GetSparseDataset(numberOfInstances: 100), "GAMRegression");
diff --git a/test/Microsoft.ML.Tests/OnnxConversionTest.cs b/test/Microsoft.ML.Tests/OnnxConversionTest.cs
index 195f8d4634..c6488e9509 100644
--- a/test/Microsoft.ML.Tests/OnnxConversionTest.cs
+++ b/test/Microsoft.ML.Tests/OnnxConversionTest.cs
@@ -339,8 +339,6 @@ public void TestVectorWhiteningOnnxConversionTest()
         }
 
         [Fact]
-        //Skipping test temporarily. This test will be re-enabled once the cause of failures has been determined
-        [Trait("Category", "SkipInCI")]
         public void PlattCalibratorOnnxConversionTest()
         {
             var mlContext = new MLContext(seed: 1);
diff --git a/test/Microsoft.ML.Tests/Properties/AssemblyInfo.cs b/test/Microsoft.ML.Tests/Properties/AssemblyInfo.cs
new file mode 100644
index 0000000000..c8afa8dcba
--- /dev/null
+++ b/test/Microsoft.ML.Tests/Properties/AssemblyInfo.cs
@@ -0,0 +1,9 @@
+// Licensed to the .NET Foundation under one or more agreements.
+// The .NET Foundation licenses this file to you under the MIT license.
+// See the LICENSE file in the project root for more information.
+
+using Xunit;
+
+// TODO: [TEST_STABILITY] disable test parallelization for this assembly as running test in parallel sometimes cause test host process to crash
+[assembly: CollectionBehavior(DisableTestParallelization = true)]
+
diff --git a/test/Microsoft.ML.Tests/Scenarios/Api/CookbookSamples/CookbookSamplesDynamicApi.cs b/test/Microsoft.ML.Tests/Scenarios/Api/CookbookSamples/CookbookSamplesDynamicApi.cs
index 70299beb83..c189489d56 100644
--- a/test/Microsoft.ML.Tests/Scenarios/Api/CookbookSamples/CookbookSamplesDynamicApi.cs
+++ b/test/Microsoft.ML.Tests/Scenarios/Api/CookbookSamples/CookbookSamplesDynamicApi.cs
@@ -365,8 +365,6 @@ public void GlobalFeatureImportance()
         }
 
         [Fact]
-        //Skipping test temporarily. This test will be re-enabled once the cause of failures has been determined
-        [Trait("Category", "SkipInCI")]
         public void GetLinearModelWeights()
         {
             var dataPath = GetDataPath("housing.txt");
diff --git a/test/Microsoft.ML.Tests/TrainerEstimators/TrainerEstimators.cs b/test/Microsoft.ML.Tests/TrainerEstimators/TrainerEstimators.cs
index 88616da267..5feb5eca2e 100644
--- a/test/Microsoft.ML.Tests/TrainerEstimators/TrainerEstimators.cs
+++ b/test/Microsoft.ML.Tests/TrainerEstimators/TrainerEstimators.cs
@@ -87,8 +87,6 @@ public void KMeansEstimator()
         /// HogwildSGD TrainerEstimator test (logistic regression).
         /// </summary>
         [Fact]
-        //Skipping test temporarily. This test will be re-enabled once the cause of failures has been determined
-        [Trait("Category", "SkipInCI")]
         public void TestEstimatorHogwildSGD()
         {
             var trainers = new[] { ML.BinaryClassification.Trainers.SgdCalibrated(l2Regularization: 0, numberOfIterations: 80),
diff --git a/test/Microsoft.ML.Tests/TrainerEstimators/TreeEstimators.cs b/test/Microsoft.ML.Tests/TrainerEstimators/TreeEstimators.cs
index c5e30b2a6d..c119e33c99 100644
--- a/test/Microsoft.ML.Tests/TrainerEstimators/TreeEstimators.cs
+++ b/test/Microsoft.ML.Tests/TrainerEstimators/TreeEstimators.cs
@@ -69,8 +69,6 @@ public void LightGBMBinaryEstimator()
         }
 
         [LightGBMFact]
-        //Skipping test temporarily. This test will be re-enabled once the cause of failures has been determined
-        [Trait("Category", "SkipInCI")]
         public void LightGBMBinaryEstimatorUnbalanced()
         {
             var (pipe, dataView) = GetBinaryClassificationPipeline();
@@ -95,8 +93,6 @@ public void LightGBMBinaryEstimatorUnbalanced()
         /// LightGBMBinaryTrainer CorrectSigmoid test
         /// </summary>
         [LightGBMFact]
-        //Skipping test temporarily. This test will be re-enabled once the cause of failures has been determined
-        [Trait("Category", "SkipInCI")]
         public void LightGBMBinaryEstimatorCorrectSigmoid()
         {
             var (pipe, dataView) = GetBinaryClassificationPipeline();
diff --git a/test/Microsoft.ML.Tests/Transformers/NormalizerTests.cs b/test/Microsoft.ML.Tests/Transformers/NormalizerTests.cs
index 445ce64d20..f13a525705 100644
--- a/test/Microsoft.ML.Tests/Transformers/NormalizerTests.cs
+++ b/test/Microsoft.ML.Tests/Transformers/NormalizerTests.cs
@@ -751,8 +751,6 @@ public void GcnWorkout()
         }
 
         [Fact]
-        //Skipping test temporarily. This test will be re-enabled once the cause of failures has been determined
-        [Trait("Category", "SkipInCI")]
         public void TestGcnNormCommandLine()
         {
             Assert.Equal(Maml.Main(new[] { @"showschema loader=Text{col=A:R4:0-10} xf=GcnTransform{col=B:A} in=f:\2.txt" }), (int)0);