diff --git a/.vsts-dotnet-ci.yml b/.vsts-dotnet-ci.yml
index dd757c7938..664ac2b5a8 100644
--- a/.vsts-dotnet-ci.yml
+++ b/.vsts-dotnet-ci.yml
@@ -8,7 +8,7 @@ resources:
     image: mcr.microsoft.com/dotnet-buildtools/prereqs:centos-7-mlnet-8bba86b-20190314145033
   
   - container: UbuntuContainer
-    image: mcr.microsoft.com/dotnet-buildtools/prereqs:ubuntu-16.04-mlnet-207e097-20190312152303
+    image: mcr.microsoft.com/dotnet-buildtools/prereqs:ubuntu-16.04-mlnet-20200515184230-2c829e8
 
 jobs:
 - template: /build/ci/job-template.yml
@@ -27,7 +27,8 @@ jobs:
         _config_short: RI
         _includeBenchmarkData: true
         _targetFramework: netcoreapp3.1
-    innerLoop: true
+    innerLoop: false
+    runSpecific: true
     pool:
       name:  Hosted Ubuntu 1604
 
@@ -36,7 +37,8 @@ jobs:
     name: Ubuntu_x64_NetCoreApp21
     buildScript: ./build.sh
     container: UbuntuContainer
-    innerLoop: true
+    innerLoop: false
+    runSpecific: true
     pool:
       name:  Hosted Ubuntu 1604
 
@@ -44,65 +46,7 @@ jobs:
   parameters:
     name: MacOS_x64_NetCoreApp21
     buildScript: ./build.sh
-    innerLoop: true
+    innerLoop: false
+    runSpecific: true
     pool:
       name: Hosted macOS
-
-- template: /build/ci/job-template.yml
-  parameters:
-    name: Windows_x64_NetCoreApp31
-    buildScript: build.cmd
-    customMatrixes:
-      Debug_Build:
-        _configuration: Debug-netcoreapp3_1
-        _config_short: DI
-        _includeBenchmarkData: false
-        _targetFramework: netcoreapp3.1
-      Release_Build:
-        _configuration: Release-netcoreapp3_1
-        _config_short: RI
-        _includeBenchmarkData: true
-        _targetFramework: netcoreapp3.1
-    innerLoop: true
-    vsTestConfiguration: "/Framework:.NETCoreApp,Version=v3.0"
-    pool:
-      name: Hosted VS2017
-
-- template: /build/ci/job-template.yml
-  parameters:
-    name: Windows_x64_NetCoreApp21
-    buildScript: build.cmd
-    innerLoop: true
-    vsTestConfiguration: "/Framework:.NETCoreApp,Version=v2.1"
-    pool:
-      name: Hosted VS2017
-
-- template: /build/ci/job-template.yml
-  parameters:
-    name: Windows_x64_NetFx461
-    buildScript: build.cmd
-    customMatrixes:
-      Debug_Build:
-        _configuration: Debug-netfx
-        _config_short: DFX
-        _includeBenchmarkData: false
-        _targetFramework: win-x64
-      Release_Build:
-        _configuration: Release-netfx
-        _config_short: RFX
-        _includeBenchmarkData: false
-        _targetFramework: win-x64
-    innerLoop: true
-    vsTestConfiguration: "/Framework:.NETCoreApp,Version=v4.0"
-    pool:
-      name: Hosted VS2017
-
-- template: /build/ci/job-template.yml
-  parameters:
-    name: Windows_x86_NetCoreApp21
-    architecture: x86
-    buildScript: build.cmd
-    innerLoop: true
-    vsTestConfiguration: "/Framework:.NETCoreApp,Version=v2.1"
-    pool:
-      name: Hosted VS2017
diff --git a/test/Microsoft.ML.Tests/OnnxConversionTest.cs b/test/Microsoft.ML.Tests/OnnxConversionTest.cs
index aca9d09c00..c97146e607 100644
--- a/test/Microsoft.ML.Tests/OnnxConversionTest.cs
+++ b/test/Microsoft.ML.Tests/OnnxConversionTest.cs
@@ -440,9 +440,11 @@ public void PlattCalibratorOnnxConversionTest2()
             Done();
         }
 
-        [Fact]
-        public void TextNormalizingOnnxConversionTest()
+        // [Fact]
+        [Theory, IterationData(5), TestCategory("RunSpecificTest")]
+        public void TextNormalizingOnnxConversionTest(int iterations)
         {
+            Console.WriteLine(String.Format("TextNormalizingOnnxConversionTest Iteration {0}", iterations));
             var mlContext = new MLContext(seed: 1);
             var dataPath = GetDataPath("wikipedia-detox-250-line-test.tsv");
             var dataView = ML.Data.LoadFromTextFile(dataPath, new[] {
@@ -462,7 +464,7 @@ public void TextNormalizingOnnxConversionTest()
 
             // Compare model scores produced by ML.NET and ONNX's runtime.
             // Skipping test in Linux platforms temporarily
-            if (IsOnnxRuntimeSupported() && !RuntimeInformation.IsOSPlatform(OSPlatform.Linux))
+            if (IsOnnxRuntimeSupported())
             {
                 // Evaluate the saved ONNX model using the data used to train the ML.NET pipeline.
                 var onnxEstimator = mlContext.Transforms.ApplyOnnxModel(onnxModelPath);