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Viewing 471-480 of 553 papers
  • YOLO9000: Better, Faster, Stronger

    Joseph Redmon, Ali FarhadiCVPR2017 We introduce YOLO9000, a state-of-the-art, real-time object detection system that can detect over 9000 object categories. First we propose various improvements to the YOLO detection method, both novel and drawn from prior work. The improved model, YOLOv2, is… more
  • Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge

    Matt Gardner and Jayant KrishnamurthyAAAI2017 Traditional semantic parsers map language onto compositional, executable queries in a fixed schema. This map- ping allows them to effectively leverage the information con- tained in large, formal knowledge bases (KBs, e.g., Freebase) to answer questions, but… more
  • Probabilistic Neural Programs

    Kenton W. Murray and Jayant KrishnamurthyNIPS • NAMPI Workshop2016 We present probabilistic neural programs, a framework for program induction that permits flexible specification of both a computational model and inference algorithm while simultaneously enabling the use of deep neural networks. Probabilistic neural programs… more
  • Designing AI Systems that Obey Our Laws and Values

    Amitai Etzioni and Oren EtzioniCACM2016 Operational AI systems (for example, self-driving cars) need to obey both the law of the land and our values. We propose AI oversight systems ("AI Guardians") as an approach to addressing this challenge, and to respond to the potential risks associated with… more
  • Tables as Semi-structured Knowledge for Question Answering

    Sujay Kumar Jauhar, Peter D. Turney, Eduard HovyACL2016 Question answering requires access to a knowledge base to check facts and reason about information. Knowledge in the form of natural language text is easy to acquire, but difficult for automated reasoning. Highly-structured knowledge bases can facilitate… more
  • Actions ~ Transformations

    Xiaolong Wang, Ali Farhadi, and Abhinav GuptaCVPR2016 What defines an action like “kicking ball”? We argue that the true meaning of an action lies in the change or transformation an action brings to the environment. In this paper, we propose a novel representation for actions by modeling an action as a… more
  • Adaptive Concentration Inequalities for Sequential Decision Problems

    Shengjia Zhao, Enze Zhou, Ashish Sabharwal, and Stefano ErmonNIPS2016 A key challenge in sequential decision problems is to determine how many samples are needed for an agent to make reliable decisions with good probabilistic guarantees. We introduce Hoeffding-like concentration inequalities that hold for a random, adaptively… more
  • A Diagram Is Worth A Dozen Images

    Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Minjoon Seo, Hannaneh Hajishirzi, and Ali FarhadiECCV2016 Diagrams are common tools for representing complex concepts, relationships and events, often when it would be difficult to portray the same information with natural images. Understanding natural images has been extensively studied in computer vision, while… more
  • Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects

    Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, and Ali FarhadiAAAI2016 Human vision greatly benefits from the information about sizes of objects. The role of size in several visual reasoning tasks has been thoroughly explored in human perception and cognition. However, the impact of the information about sizes of objects is yet… more
  • A Task-Oriented Approach for Cost-sensitive Recognition

    Roozbeh Mottaghi, Hannaneh Hajishirzi, and Ali FahradiCVPR2016 With the recent progress in visual recognition, we have already started to see a surge of vision related real-world applications. These applications, unlike general scene understanding, are task oriented and require specific information from visual data… more
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