Search Results for author: Yair Movshovitz-Attias

Found 9 papers, 3 papers with code

Neighbourhood Distillation: On the benefits of non end-to-end distillation

no code implementations2 Oct 2020 Laëtitia Shao, Max Moroz, Elad Eban, Yair Movshovitz-Attias

Instead of distilling a model end-to-end, we propose to split it into smaller sub-networks - also called neighbourhoods - that are then trained independently.

Knowledge Distillation Neural Architecture Search

Fine-Grained Stochastic Architecture Search

1 code implementation17 Jun 2020 Shraman Ray Chaudhuri, Elad Eban, Hanhan Li, Max Moroz, Yair Movshovitz-Attias

Mobile neural architecture search (NAS) methods automate the design of small models but state-of-the-art NAS methods are expensive to run.

Neural Architecture Search Object Detection

Sky Optimization: Semantically aware image processing of skies in low-light photography

no code implementations15 Jun 2020 Orly Liba, Longqi Cai, Yun-Ta Tsai, Elad Eban, Yair Movshovitz-Attias, Yael Pritch, Huizhong Chen, Jonathan T. Barron

The sky is a major component of the appearance of a photograph, and its color and tone can strongly influence the mood of a picture.

Structured Multi-Hashing for Model Compression

no code implementations CVPR 2020 Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel A. Carreira-Perpinan

Despite the success of deep neural networks (DNNs), state-of-the-art models are too large to deploy on low-resource devices or common server configurations in which multiple models are held in memory.

Model Compression

No Fuss Distance Metric Learning using Proxies

2 code implementations ICCV 2017 Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh

Traditionally, for this problem supervision is expressed in the form of sets of points that follow an ordinal relationship -- an anchor point $x$ is similar to a set of positive points $Y$, and dissimilar to a set of negative points $Z$, and a loss defined over these distances is minimized.

Metric Learning Semantic Similarity +2

How useful is photo-realistic rendering for visual learning?

no code implementations26 Mar 2016 Yair Movshovitz-Attias, Takeo Kanade, Yaser Sheikh

Data seems cheap to get, and in many ways it is, but the process of creating a high quality labeled dataset from a mass of data is time-consuming and expensive.

Domain Adaptation Viewpoint Estimation

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