PPT-Image2Vec: Learning word and image representations for reasoning

Lerrel J Pinto Gunnar A Sigurdsson How would you summarize this image in 3 words Joint word and image embedding Given an image get words that approximate . Sources: D. Jensen. “Research Methods for Empirical Computer Science.”. . William M.K. . Trochim. . “Research Methods Knowledgebase”. More on Causality. What is causality?. What’s Important About Causality?. It’s Logical. What is Logic?. Logic. – The science of correct reasoning.. Reasoning. . – The drawing of inferences or conclusions from known or assumed facts. .. There are two main types of reasoning:. Anne Watson. South West 2013. Key ideas. Generalise relationships. Equivalent expressions. Solve equations. Express situations. Relate representations. New from old. Notation. Non-statutory Guidance yr 6. Natural Language Processing. Tomas Mikolov, Facebook. ML Prague 2016. Structure of this talk. Motivation. Word2vec. Architecture. Evaluation. Examples. Discussion. Motivation. Representation of text is very important for performance of many real-world applications: search, ads recommendation, ranking, spam filtering, …. Chao Xing. CSLT Tsinghua. Why?. Chris Dyer. group had gotten a lot of brilliant achievements in 2015, and their research interest match to ours. . And in some area, we two groups almost think same way, but we didn’t do so well as they did.. Inductive Reasoning . When you use a pattern to find the next term in a sequence you’re using . inductive reasoning.. The conclusion you’ve made about the next terms in the pattern are called a . What is gender?. Your . sex. , whether you are male or . female, . is biologically determined. Gender. is not biological but refers to a socially constructed set of behaviour patterns. Therefore, . femininity. Michael . Elad. The Computer Science Department. The . Technion. – Israel Institute of technology. Haifa 32000, . Israel. David L. Donoho. Statistics Department Stanford USA. The Treachery of Images. (1928-9). Ren. é. Magritte: . Two Mysteries. (1966). Representation and reality. Re-presentations: we think that the model (‘reality’) precedes, pre-exists the representation . :. . It’s not just for geometry anymore. Denisse. R. Thompson. University of South Florida, USA. 2011 Annual Mathematics Teachers Conference. Singapore. June 2, 2011. “Reasoning mathematically is a habit of mind, and like all habits, it must be developed through consistent use in many contexts.” . Reasoning and Proof Geometry Chapter 2 This Slideshow was developed to accompany the textbook Larson Geometry By Larson , R., Boswell, L., Kanold , T. D., & Stiff, L. 2011 Holt McDougal Some examples and diagrams are taken from the textbook. Presented by Dr. John Willems. Sponsored . by the Committee for the Assessment of Student . Learning (CASL). How does EIU measure up?. CLA+ RESULTS – Quantitative Reasoning: In AY 2018, CASL administered the CLA+ exam to 84 freshmen and 89 senior students. The mean score in quantitative reasoning for EIU freshmen was 67 points lower than the National Average for freshmen while the mean scores for EIU seniors was 27 points lower than the National Average for seniors Although there is a much larger gain of 87 made by EIU seniors than the National Average gain of 47, EIU seniors still graduate with significantly less skill in this area than the national average. . Jay McClelland, . Stanford University. Effects of . Hippocampal. Lesions in Humans. Intact performance on tests of general intelligence, world knowledge, language, digit span, … . Dramatic . deficits in formation of some types of new . Deep Learning for Medical Applications (IN2107). Student: Kristina Diery. Tutor: Chantal Pellegrini. Agenda. 1. Introduction. 1.1 Problem Statement. 1.2 Contrastive Learning. 2. Applications. 2.1 Classification, Retrieval.