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Viewing 501-510 of 553 papers
  • Toward a Taxonomy and Computational Models of Abnormalities in Images

    Babak Saleh, Ahmed Elgammal, Jacob Feldman, and Ali FarhadiAAAI2016 The human visual system can spot an abnormal image, and reason about what makes it strange. This task has not received enough attention in computer vision. In this paper we study various types of atypicalities in images in a more comprehensive way than has… more
  • Toward Automatic Bootstrapping of Online Communities Using Decision-theoretic Optimization

    Shih-Wen Huang, Jonathan Bragg, Isaac Cowhey, Oren Etzioni, and Daniel S. WeldCSCW2016 Successful online communities (e.g., Wikipedia, Yelp, and StackOverflow) can produce valuable content. However, many communities fail in their initial stages. Starting an online community is challenging because there is not enough content to attract a… more
  • Unsupervised Deep Embedding for Clustering Analysis

    Junyuan Xie, Ross Girshick, and Ali FarhadiICML2016 Clustering is central to many data-driven application domains and has been studied extensively in terms of distance functions and grouping algorithms. Relatively little work has focused on learning representations for clustering. In this paper, we propose… more
  • "What happens if..." Learning to Predict the Effect of Forces in Images

    Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, and Ali FarhadiECCV2016 What happens if one pushes a cup sitting on a table toward the edge of the table? How about pushing a desk against a wall? In this paper, we study the problem of understanding the movements of objects as a result of applying external forces to them. For a… more
  • What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams

    Peter Jansen, Niranjan Balasubramanian, Mihai Surdeanu, and Peter ClarkCOLING2016 QA systems have been making steady advances in the challenging elementary science exam domain. In this work, we develop an explanation-based analysis of knowledge and inference requirements, which supports a fine-grained characterization of the challenges. In… more
  • XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

    Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali FarhadiECCV2016 We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks, the filters are approximated with binary values resulting in 32x memory saving. In XNOR-Networks, both the… more
  • You Only Look Once: Unified, Real-Time Object Detection

    Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali FarhadiCVPR2016 We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class… more
  • AI assisted ethics

    Amitai Etzioni and Oren EtzioniEthics2016 The growing number of 'smart' instruments, those equipped with AI, has raised concerns because these instruments make autonomous decisions; that is, they act beyond the guidelines provided them by programmers. Hence, the question the makers and users of smart… more
  • My Computer is an Honor Student — but how Intelligent is it? Standardized Tests as a Measure of AI

    Peter Clark and Oren EtzioniAI Magazine2016 Given the well-known limitations of the Turing Test, there is a need for objective tests to both focus attention on, and measure progress towards, the goals of AI. In this paper we argue that machine performance on standardized tests should be a key component… more
  • Closing the Gap Between Short and Long XORs for Model Counting

    Shengjia Zhao, Sorathan Chaturapruek, Ashish Sabharwal, and Stefano ErmonAAAI2016 Many recent algorithms for approximate model counting are based on a reduction to combinatorial searches over random subsets of the space defined by parity or XOR constraints. Long parity constraints (involving many variables) provide strong theoretical… more
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