diff --git a/constants_vision_gpu_2.py b/constants_vision_gpu_2.py
index faef8795587f3ede2ec922c6ab8252765dc78c1b..04654870b9d5921c10e8d4fc59e3726c3a3bf9c8 100644
--- a/constants_vision_gpu_2.py
+++ b/constants_vision_gpu_2.py
@@ -5,7 +5,7 @@ def mkdir_if_not_exists(dir_name):
     if not os.path.exists(dir_name):
         os.mkdir(dir_name)
         
-experiment_name = 'obj_atr_through_none'
+experiment_name = 'obj_atr_through_mil_fixed_split'
 
 ##########################################################################
 #                    Machine Specific Paths                              #
@@ -90,7 +90,7 @@ attribute_labels_json = os.path.join(
 
 regions_json = os.path.join(
     data_absolute_path,
-    'restructured/region_with_labels.json')
+    'restructured/region_with_hypernym_labels.json')
 
 mean_image_filename = os.path.join(
     data_absolute_path,
@@ -110,7 +110,7 @@ genome_val_region_ids = os.path.join(
 
 genome_test_region_ids = os.path.join(
     data_absolute_path,
-    'restructured/test_region_ids.json')
+    'restructured/test_region_ids_simple.json')
 
 ##########################################################################
 #               Genome Training/Fine-Tuning Parameters                   #
@@ -245,7 +245,7 @@ answer_lr = 1e-3
 
 answer_obj_atr_loss_wt = 1.0
 answer_ans_loss_wt = 0.0
-answer_mil_loss_wt = 0.0
+answer_mil_loss_wt = 0.1
 
 # Answer classifier additional joint training params
 num_regions_with_labels = 100