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August 21, 2017
Engineering Egress with Edge Fabric: Steering Oceans of Content to the World
ACM SIGCOMM
Large content providers build points of presence around the world, each connected to tens or hundreds of networks. Ideally, this connectivity lets providers better serve users, but providers cannot obtain enough capacity on some preferred peering paths to handle peak traffic demands. These capacity constraints, coupled with volatile traffic and performance and the limitations of the 20 year old BGP protocol, make it difficult to best use this connectivity. This paper presents Edge Fabric, an SDN-based system we built and deployed to tackle these challenges for Facebook, which serves over two billion users from dozens of points of presence on six continents.
Brandon Schlinker, Hyojeong Kim, Timothy Cui, Ethan Katz-Bassett, Harsha V. Madhyastha, Italo Cunha, James Quinn, Saif Hasan, Petr Lapukhov, James Hongyi Zeng
August 6, 2017
Efficient Softmax Approximation for GPUs
International Conference on Machine Learning 2017
We propose an approximate strategy to efficiently train neural network based language models over very large vocabularies.
Edouard Grave, Armand Joulin, Moustapha Cisse, David Grangier, Hervé Jégou
August 3, 2017
Learning Multilingual Joint Sentence Embeddings with Neural Machine Translation
ACL workshop on Representation Learning for NLP 2017
In this paper, we use the framework of neural machine translation to learn joint sentence representations across six very different languages. Our aim is that a representation which is independent of the language, is likely to capture the underlying semantics.
Holger Schwenk, Matthijs DouzeJuly 31, 2017
Focal Surface Displays
SIGGRAPH 2017
We introduce focal surface displays to meet the challenge of vergence-accommodation conflict, augmenting conventional HMDs with a phase-only spatial light modulator (SLM) placed between the display screen and viewing optics. This SLM acts as a dynamic freeform lens, shaping synthesized focal surfaces to conform to the virtual scene geometry.
Nathan Matsuda, Alexander Fix, Douglas Lanman
July 30, 2017
Reading Wikipedia to Answer Open-Domain Questions
Association for Computational Linguistics (ACL 2017)
This paper proposes to tackle open- domain question answering using Wikipedia as the unique knowledge source: the answer to any factoid question is a text span in a Wikipedia article.
Danqi Chen, Adam Fisch, Jason Weston, Antoine BordesJuly 30, 2017
Automatically Generating Rhythmic Verse with Neural Networks
Association for Computational Linguistics (ACL 2017)
We propose two novel methodologies for the automatic generation of rhythmic poetry in a variety of forms.
Jack Hopkins, Douwe KielaJuly 22, 2017
Densely Connected Convolutional Networks
CVPR 2017
In this paper, we embrace the observation that hat convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output, and introduce the Dense Convolutional Network (DenseNet), which connects each layer to every other layer in a feed-forward fashion.
Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger
July 21, 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
CVPR 2017
e present a diagnostic dataset that tests a range of visual reasoning abilities. It contains minimal biases and has detailed annotations describing the kind of reasoning each question requires.
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, Larry Zitnick, Ross GirshickJuly 21, 2017
Learning Features by Watching Objects Move
CVPR 2017
This paper presents a novel yet intuitive approach to unsupervised feature learning. Inspired by the human visual system, we explore whether low-level motion-based grouping cues can be used to learn an effective visual representation.
Deepak Pathak, Ross Girshick, Piotr Dollar, Trevor Darrell, Bharath HariharanJuly 21, 2017
Robocodes: Towards Generative Street Addresses from Satellite Imagery
CVPR 2017
This paper describes our automatic generative algorithm to create street addresses (Robocodes) from satellite images by learning and labeling regions, roads, and blocks. 75% of the world lacks street addresses.
Ilke Demir, Forest Hughes, Aman Raj, Kleovoulos Tsourides, Divyaa Ravichandran, Suryanarayana Murthy, Kaunil Dhruv, Sanyam Garg, Jatin Malhotra, Barrett Doo, Grace Kermani, Ramesh RaskarJuly 21, 2017
Feature Pyramid Networks for Object Detection
CVPR 2017
In this paper, we exploit the inherent multi-scale, pyramidal hierarchy of deep convolutional networks to construct feature pyramids with marginal extra cost.
Tsung-Yi Lin, Piotr Dollar, Ross Girshick, Kaiming He, Bharath Hariharan, Serge BelongieJuly 21, 2017
Semantic Amodal Segmentation
CVPR 2017
Common visual recognition tasks such as classification, object detection, and semantic segmentation are rapidly reaching maturity, and given the recent rate of progress, it is not unreasonable to conjecture that techniques for many of these problems will approach human levels of performance in the next few years. In this paper we look to the future: what is the next frontier in visual recognition?
Yan Zhu, Yuandong Tian, Dimitris Mexatas, Piotr DollarJuly 21, 2017
Aggregated Residual Transformations for Deep Neural Networks
CVPR 2017
We present a simple, highly modularized network architecture for image classification.
Saining Xie, Ross Girshick, Piotr Dollar, Zhuowen Tu, Kaiming HeJune 26, 2017
Enriching Word Vectors with Subword Information
Transactions of the Association for Computational Linguistics
Continuous word representations, trained on large unlabeled corpora are useful for many natural language processing tasks. Popular models that learn […]
Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas MikolovJune 26, 2017
Multiplicative Pacing Equilibria in Auction Markets
Workshop on Algorithmic Game Theory and Data Science, ACM Conference on Economics and Computation
Budgets play a significant role in real-world sequential auction markets such as those implemented by Internet companies. To maximize the value provided to auction participants, spending is smoothed across auctions so budgets are used for the best opportunities. This paper considers a smoothing procedure that relies on pacing multipliers: for each bidder, the platform applies a factor between 0 and 1 that uniformly scales the bids across all auctions.
Vincent Conitzer, Christian Kroer, Eric Sodomka, Nicolas Stier
June 15, 2017
Formulation of Aerial Platform Environmental Requirements from Global Radiosonde Data
Journal of Unmanned Vehicle Systems
This paper demonstrates how raw observational climate data can be processed to characterize global climate histories and statistics for the formulation of aerial platform environmental requirements.
Jacob Stelman, Zhang Liu
June 8, 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Data @ Scale
In this paper, we empirically show that on the ImageNet dataset large minibatches cause optimization difficulties, but when these are addressed the trained networks exhibit good generalization.
Priya Goyal, Piotr Dollar, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming HeJune 6, 2017
Analysis of Effective Impedance Transmitted to the Operator in Position-Exchange Bilateral Teleoperation
IEEE World Haptics 2017
In this paper, we analyze the impedance transmitted to the operator in bilateral teleoperation including the effects of master and slave dynamics, local and communication time delay, low-pass filtering of the velocity estimate, and controller stiffness and damping, for three different environment dynamics: free, clamped, and a mass-damper-spring.
Nick Colonnese, Allison M. OkamuraMay 22, 2017
IVD: Automatic Learning and Enforcement of Authorization Rules in Online Social Networks
IEEE Symposium on Security and Privacy (IEEE S&P)
In this paper, we propose Invariant Detector (IVD), a defense-in-depth system that automatically learns authorization rules from normal data manipulation patterns and distills them into likely invariants.
Paul Marinescu, Chad Parry, Marjori Pomarole, Yuan Tian, Patrick Tague, Ioannis Papagiannis
May 6, 2017
Paradigm shift from Human Computer Interaction to Integration
Computer Human Interaction (CHI)
In 1960, JCR Licklider forecast three phases: human- computer interaction, human-computer symbiosis, and ultra-intelligent machines. Human-computer symbiosis or what we […]
Umer Farooq, Jonathan T. Grudin