PPT-Constrained Semi-Supervised Learning

using Attributes and Comparative Attributes Presenter Ankit Laddha Most of the slides are borrowed from Abhinav Shrivastavas ECCV talk Outline Supervision based problem definitions. CSCI-GA.2590 – Supplement for Lecture. 8. Ralph . Grishman. NYU. Flavors of learning. Supervised learning. All training data is labeled. Semi-supervised learning. Part of training data is labeled (‘the seed’). Semi-Colon. 1). Two . Independent . Clauses. . with connective meaning. Example:. I went to the carnival with my grandmother; she was the worst date ever!. Semi-Colon. 2). Conjunctive . Adverbs: . however, moreover, therefore, consequently, otherwise, nevertheless, . Yacine . Jernite. Text-as-Data series. September 17. 2015. What do we want from text?. Extract information. Link to other knowledge sources. Use knowledge (Wikipedia, . UpToDate,…). How do we answer those questions?. (in tiny space). Giuseppe . Ottaviano. Roberto . Grossi. (. Università. di Pisa). {"timestamp": "2006-04-03 21:31:35", "user": "1578922", "query": ". londn. news"}. {". timestamp": "2006-04-08 14:09:27", "user": "18214495", "query": "craigslist. Classification. with Incomplete Class . Hierarchies. Bhavana Dalvi. ¶. *. , Aditya Mishra. †. , and William W. Cohen. *. ¶ . Allen Institute . for . Artificial Intelligence, . * . School Of Computer Science. CSCI-GA.2590. . Ralph . Grishman. NYU. Flavors of learning. Supervised learning. All training data is labeled. Semi-supervised learning. Part of training data is labeled (‘the seed’). Make use of redundancies to learn labels of additional data, then train model. The glue that helps hold sentences together. COLON-IZING Your Writing. A . colons are used . to introduce . more . information about something mentioned earlier in the sentence. . Shannon brought one thing: a stethoscope.. Introduction. Labelled data. Unlabeled data. cat. dog. (Image of cats and dogs without labeling). Introduction. Supervised learning: . E.g. . : image, . : class. . labels. Semi-supervised learning: . . Rob Fergus (New York University). Yair Weiss (Hebrew University). Antonio Torralba (MIT). . Presented by Gunnar Atli Sigurdsson. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: AAAAAAAAAA. Definition:. Suspension system: a mechanical system of springs and shock absorbers . that connect . the wheels and axles to the chassis of a wheeled vehicle. The Function of suspension system:. The job of a car . Learning What is learning? What are the types of learning? Why aren’t robots using neural networks all the time? They are like the brain, right? Where does learning go in our operational architecture? Dongyeop. Kang. 1. , Youngja Park. 2. , Suresh . Chari. 2. . 1. . . IT Convergence Laboratory, KAIST . Institute,Korea. 2. . IBM T.J. Watson Research . Center, NY, USA. with Incomplete Class Hierarchies. Bhavana Dalvi. , Aditya Mishra, William W. Cohen. Semi-supervised Entity Classification. 2. Semi-supervised Entity Classification. Subset. 3. Disjoint. Semi-supervised Entity Classification. Self-Learning Learning . Technique. . for. Image . Disease. . Localization. . Rushikesh. Chopade1, . Aditya. Stanam2, . Abhijeet. Patil3 & . Shrikant. Pawar4*. 1. Department of . Geology.