diff --git a/README.md b/README.md
index fa6f8a7..93ff645 100644
--- a/README.md
+++ b/README.md
@@ -107,19 +107,19 @@ We present qualitative results for training with OPL (against a CE only backbone
 
 
 ### Classification: Few Shot 
-| Method                	|  New Loss  	|  Cifar:1shot  	|  Cifar:5shot  	|   Mini:1shot   	|   Mini:5shot   	|   Tier:1shot   	|   Tier:5shot   	|
-|-----------------------	|:----------:	|:-------------:	|:-------------:	|:--------------:	|:--------------:	|:--------------:	|:--------------:	|
-| MAML                  	|      -     	| 58.90±1.9 	| 71.50±1.0 	| 48.70±1.84 	| 63.11±0.92 	| 51.67±1.81 	| 70.30±1.75 	|
-| Prototypical Networks 	|      -     	| 55.50±0.7 	| 72.00±0.6 	| 49.42±0.78 	| 68.20±0.66 	| 53.31±0.89 	| 72.69±0.74 	|
-| Relation Networks     	|      -     	| 55.00±1.0 	| 69.30±0.8 	| 50.44±0.82 	| 65.32±0.70 	| 54.48±0.93 	| 71.32±0.78 	|
-| Shot-Free             	|      -     	| 69.20±N/A 	| 84.70±N/A 	|  59.04±N/A 	|  77.64±N/A 	|  63.52±N/A 	|  82.59±N/A 	|
-| MetaOptNet            	|      -     	| 72.60±0.7 	| 84.30±0.5 	| 62.64±0.61 	| 78.63±0.46 	| 65.99±0.72 	| 81.56±0.53 	|
-| RFS                   	|      -     	| 71.45±0.8 	| 85.95±0.5 	| 62.02±0.60 	| 79.64±0.44 	| 69.74±0.72 	| 84.41±0.55 	|
-| RFS + OPL (Ours)      	| \checkmark 	| 73.02±0.4 	| 86.12±0.2 	| 63.10±0.36 	| 79.87±0.26 	| 70.20±0.41 	| 85.01±0.27 	|
-| NAML                  	| \checkmark 	|       -       	|       -       	| 65.42±0.25 	| 75.48±0.34 	|        -       	|        -       	|
-| Neg-Cosine            	| \checkmark 	|       -       	|       -       	| 63.85±0.81 	| 81.57±0.56 	|        -       	|        -       	|
-| SKD                   	| \checkmark 	| 74.50±0.9 	| 88.00±0.6 	| 65.93±0.81 	| 83.15±0.54 	| 71.69±0.91 	| 86.66±0.60 	|
-| SKD + OPL (Ours)      	| \checkmark 	| 74.94±0.4 	| 88.06±0.3 	| 66.90±0.37 	| 83.23±0.25 	| 72.10±0.41 	| 86.70±0.27 	|
+| Method                	|  New Loss  	|  Cifar:1shot  |  Cifar:5shot  |   Mini:1shot   	|   Mini:5shot   	|   Tier:1shot   	|   Tier:5shot   	|
+|-----------------------	|:----------:	|:-------------:|:-------------:|:--------------:	|:--------------:	|:--------------:	|:--------------:	|
+| MAML                  	|    ✗  	| 58.90±1.9 	| 71.50±1.0 	| 48.70±1.84 	| 63.11±0.92 	| 51.67±1.81 	| 70.30±1.75 	|
+| Prototypical Networks 	|    ✗  	| 55.50±0.7 	| 72.00±0.6 	| 49.42±0.78 	| 68.20±0.66 	| 53.31±0.89 	| 72.69±0.74 	|
+| Relation Networks     	|    ✗  	| 55.00±1.0 	| 69.30±0.8 	| 50.44±0.82 	| 65.32±0.70 	| 54.48±0.93 	| 71.32±0.78 	|
+| Shot-Free             	|    ✗  	| 69.20±N/A 	| 84.70±N/A 	|  59.04±N/A 	|  77.64±N/A 	|  63.52±N/A 	|  82.59±N/A 	|
+| MetaOptNet            	|    ✗  	| 72.60±0.7 	| 84.30±0.5 	| 62.64±0.61 	| 78.63±0.46 	| 65.99±0.72 	| 81.56±0.53 	|
+| RFS                   	|    ✗   | 71.45±0.8 	| 85.95±0.5 	| 62.02±0.60 	| 79.64±0.44 	| 69.74±0.72 	| 84.41±0.55 	|
+| RFS + OPL (Ours)      	|    ✔   | 73.02±0.4 	| 86.12±0.2 	| 63.10±0.36 	| 79.87±0.26 	| 70.20±0.41 	| 85.01±0.27 	|
+| NAML                  	|    ✔  	|       -       |       -      	| 65.42±0.25 	| 75.48±0.34 	|        -       	|        -       	|
+| Neg-Cosine            	|    ✔  	|       -       |       -      	| 63.85±0.81 	| 81.57±0.56 	|        -       	|        -       	|
+| SKD                   	|    ✔  	| 74.50±0.9 	| 88.00±0.6 	| 65.93±0.81 	| 83.15±0.54 	| 71.69±0.91 	| 86.66±0.60 	|
+| SKD + OPL (Ours)      	|    ✔  	| 74.94±0.4 	| 88.06±0.3 	| 66.90±0.37 	| 83.23±0.25 	| 72.10±0.41 	| 86.70±0.27 	|
 
 
 ## Qualitative Results