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Veselin Raychev
Code Completion with Statistical Language ModelsIn this talk, I present the problem of synthesizing code completions for programs using APIs. Given a program with holes, we synthesize completions for the holes with the most likely sequences of method calls that we learn from existing code.The main idea of our approach is to reduce the problem of code completion to a natural-language processing problem of predicting probabilities of sentences. We design a simple and scalable static analysis that extracts sequences of method calls from large codebase, and...
Video details
Date: 27 August 2014
Duration: 00:56:37
Yishay Mansour
Robust Probabilistic InferenceProbabilistic Inference is the task of given a certain set of observations, to deduce the probability of various outcomes. This is a very basic task both in statistics and in machine learning.Robust probabilistic inference is an extension of probabilistic inference, where some of the observations are adversarially corrupted. Examples of where such a model may be relevant are spam detection, where spammers try adversarially to fool the spam detectors, or failure detection and correction, where the failure...
Video details
Date: 27 August 2014
Duration: 01:00:14
Matt Henderson
Recurrent Neural Networks for Dialog State TrackingThe recent Dialog State Tracking Challenges have brought into focus the problem of accurately estimating the dialog state throughout a sequence of spoken interactions with a dialog system. Recurrent Neural Networks (RNNs) can be effectively applied to this problem, giving results which perform competitively in the shared challenge tasks. The proposed model is unique in that it eliminates the need for a spoken language understanding component, and the inherent bottleneck, by mapping directly from words to...
Video details
Date: 26 August 2014
Duration: 00:52:49
Collection: MSR Talk Series
Bob Carpenter
Stan Future PlansThe goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:14:27
Collection: Open Machine Learning Workshop
Heiko Strathmann
Shogun Future PlansThe goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:12:58
Collection: Open Machine Learning Workshop
Bart van Merrienboer and Frederic Bastien
Theano and PyLearn Future PlansThe goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:11:37
Collection: Open Machine Learning Workshop
Koray Kavukcuoglu, Nicolas Vasilache, and Sumit Chopra
Torch Future PlansThe goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:06:23
Collection: Open Machine Learning Workshop
Hal Daumé III and John Langford
Vowpal Wabbit Future PlansThe goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:08:49
Collection: Open Machine Learning Workshop
Chih-Jen Lin
Liblinear Future PlansThe goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:09:42
Collection: Open Machine Learning Workshop
Bart van Merrienboer, Bob Carpenter, Chih-Jen Lin, Frederic Bastien, Hal Daumé III, Heiko Strathmann, John Langford, Koray Kavukcuoglu, Leon Bottou, Nicolas Vasilache, and Sumit Chopra
Panel: Can Projects Coordinate?The goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:35:46
Collection: Open Machine Learning Workshop
Alekh Agarwal
Summary: The Systems As They ExistThe goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:17:09
Collection: Open Machine Learning Workshop
Bob Carpenter
StanThe goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:31:22
Collection: Open Machine Learning Workshop
Heiko Strathmann
ShogunThe goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:21:41
Collection: Open Machine Learning Workshop
Bart van Merrienboer and Frederic Bastien
Theano and PyLearnThe goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:21:21
Collection: Open Machine Learning Workshop
Koray Kavukcuoglu, Nicolas Vasilache, and Sumit Chopra
TorchThe goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:25:03
Collection: Open Machine Learning Workshop
Hal Daumé III and John Langford
Vowpal WabbitThe goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:26:37
Collection: Open Machine Learning Workshop
Chih-Jen Lin and John Langford
Introduction and LiblinearThe goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
Video details
Date: 22 August 2014
Duration: 00:30:11
Collection: Open Machine Learning Workshop
Katrin Tiidenberg
"Your looks are laughable, unphotographable, yet youOver past twenty years, pregnancy has become publicly visible. Following the then-scandalous Vanity Fair cover of a heavily pregnant and naked Demi Moore in 1991, flaunting one's baby-bump has become almost a rite of passage for celebrities, and through that a staple in our visual culture. Women now are managing their pregnancies in the crossfire of medical, moral and consumerist narratives, balancing these to the best of their ability to make sure they are 'doing it right'. Photography can a means of...
Video details
Date: 18 August 2014
Duration: 01:03:09
Neil Cohn
The Visual Language of ComicsDrawings and sequential images are an integral part of human expression dating back at least as far as cave paintings, and in contemporary society appear most prominently in comics. Just how is it that our brains understand this deeply rooted expressive system? I will present a provocative theory: that the structure and cognition of drawings and sequential images is similar to language.Building on contemporary theories from linguistics and cognitive psychology, I will argue that comics are “written in” a...
Video details
Date: 14 August 2014
Duration: 00:43:21
Collection: Other
Michal Linial
Nerves and Synapses  - A General PreviewMy talk is a brief preview of neuroscience (pre-101..). I will share with you some of the brain’s mysteries and will illustrate the capacity of neurons to rewire and thus to learn (and forget). To do so, we will discuss (briefly) how neurons convey information, what are the principles underlying neuronal communication and the fundamental rules of electrical and chemical messengers. The uniformity and the variability of neurons that are involved in high brain functions (mathematics?) and those that make...
Video details
Date: 13 August 2014
Duration: 01:10:38
David Blei
Probabilistic Topic Models and User BehaviorProbabilistic topic models provide a suite of tools for analyzing large document collections. Topic modeling algorithms discover the latent themes that underlie the documents and identify how each document exhibits those themes. Topic modeling can be used to help explore, summarize, and form predictions about documents. Topic modeling ideas have been adapted to many domains, including images, music, networks, genomics, and neuroscience.Traditional topic modeling algorithms analyze a document collection and...
Video details
Date: 12 August 2014
Duration: 01:22:37
Collection: MSR Talk Series
George Neville-Neil
Systems, Science and FreeBSDWhat makes a platform suitable to both research and development? It is not simply the artifacts that are generated, but the tools that the platform brings to bear on evaluating the usefulness and quality of the research that is being undertaken. FreeBSD continues to push the boundaries of systems research through its adoption and extension of significant new technologies such as DTrace and LLVM.This talk looks at how the latest tools and techniques are being applied to systems research and how the...
Video details
Date: 12 August 2014
Duration: 00:56:54
Collection: UK Cambridge - Lecture/Seminar
Controllable High-Fidelity Facial Performance TransferRecent technological advances in facial capture have made it possible to acquire high-fidelity 3D facial performance data with stunningly high spatial-temporal resolution. This paper introduces a novel facial expression transfer and editing technique for high-fidelity facial performance data. The key idea of our approach is to decompose high-fidelity facial performances into high-level facial feature lines, large-scale facial deformation and fine-scale motion details and transfer them appropriately to...
Video details
Date: 11 August 2014
Duration: 00:04:56
Publisher: Microsoft
Learning to Be a Depth Camera for Close-Range Human Capture and InteractionAmong Microsoft Research's contributions to SIGGRAPH 2014, a machine learning technique for estimating absolute, per-pixel depth using any conventional monocular 2D camera, with minor hardware modifications. Our approach targets close-range human capture and interaction where dense 3D estimation of hands and faces is desired. We use hybrid classification-regression forests to learn how to map from near infrared intensity images to absolute, metric depth in real-time. We demonstrate a variety of...
Video details
Date: 11 August 2014
Duration: 00:03:42
Publisher: Microsoft
Real-Time Non-Rigid Reconstruction Using an RGB-D CameraAmong Microsoft Research's contributions to SIGGRAPH 2014, a combined hardware and software solution for markerless reconstruction of non-rigidly deforming physical objects with arbitrary shape in real-time. Our system uses a single self-contained stereo camera unit built from off-the-shelf components and consumer graphics hardware to generate spatio-temporally coherent 3D models at 30 Hz. A new stereo matching algorithm estimates real-time RGB-D data. The system is an order of magnitude faster than...
Video details
Date: 11 August 2014
Duration: 00:06:45
Publisher: Microsoft
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