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 <li>tired, drowsiness in car</li>
 <li>affectiva: interest in product, intent to buy</li>
 </ul>
+<h2>From SenseTime paper</h2>
+<p>Exploring Disentangled Feature Representation Beyond Face Identification</p>
+<p>From <a href="https://arxiv.org/pdf/1804.03487.pdf">https://arxiv.org/pdf/1804.03487.pdf</a>
+The attribute IDs from 1 to 40 corre-spond to: ‘5 o Clock Shadow’, ‘Arched Eyebrows’, ‘Attrac-tive’, ‘Bags Under Eyes’, ‘Bald’, ‘Bangs’, ‘Big Lips’, ‘BigNose’, ‘Black Hair’, ‘Blond Hair’, ‘Blurry’, ‘Brown Hair’,‘Bushy Eyebrows’, ‘Chubby’, ‘Double Chin’, ‘Eyeglasses’,‘Goatee’,  ‘Gray  Hair’,  ‘Heavy  Makeup’,  ‘High  Cheek-bones’, ‘Male’, ‘Mouth Slightly Open’, ‘Mustache’, ‘Nar-row Eyes’,  ‘No Beard’,  ‘Oval Face’,  ‘Pale Skin’,  ‘PointyNose’,  ‘Receding  Hairline’,  ‘Rosy  Cheeks’,  ‘Sideburns’,‘Smiling’,  ‘Straight  Hair’,  ‘Wavy  Hair’,  ‘Wearing  Ear-rings’, ‘Wearing Hat’, ‘Wearing Lipstick’, ‘Wearing Neck-lace’, ‘Wearing Necktie’ and ‘Young’. It’</p>
 <h2>From PubFig Dataset</h2>
 <ul>
 <li>Male</li>