A
Ali Farhadi
Researcher at University of Washington
Publications - 247
Citations - 87076
Ali Farhadi is an academic researcher from University of Washington. The author has contributed to research in topics: Context (language use) & Question answering. The author has an hindex of 63, co-authored 234 publications receiving 57227 citations. Previous affiliations of Ali Farhadi include University of Illinois at Urbana–Champaign & Lorestan University of Medical Sciences.
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Proceedings ArticleDOI
Describing objects by their attributes
TL;DR: This paper proposes to shift the goal of recognition from naming to describing, and introduces a novel feature selection method for learning attributes that generalize well across categories.
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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
TL;DR: XNOR-Nets as discussed by the authors approximate convolutions using primarily binary operations, which results in 58x faster convolutional operations and 32x memory savings, and outperforms BinaryConnect and BinaryNets by large margins on ImageNet.
Proceedings Article
Unsupervised deep embedding for clustering analysis
TL;DR: Deep Embedded Clustering (DEC) as discussed by the authors learns a mapping from the data space to a lower-dimensional feature space in which it iteratively optimizes a clustering objective.
Proceedings Article
Bidirectional Attention Flow for Machine Comprehension
TL;DR: The BIDAF network is introduced, a multi-stage hierarchical process that represents the context at different levels of granularity and uses bi-directional attention flow mechanism to obtain a query-aware context representation without early summarization.
Proceedings ArticleDOI
Target-driven visual navigation in indoor scenes using deep reinforcement learning
TL;DR: This article proposed an actor-critic model whose policy is a function of the goal as well as the current state, which allows better generalization and generalizes across targets and scenes.