Yonatan Wexler

3 papers · 2011–2016 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

NeurIPS (2) ICML (1)

Top co-authors

Shai Shalev-shwartz (3) Amnon Shashua (2) Oren Tadmor (1) Tal Rosenwein (1)

Research topics

Machine Learning (3) Core Methods (2) Learning Types · Machine Learning (2) Computer Vision (1) Deep Learning (1) Analysis (1) Application Areas (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

stochastic gradient descent (1) metric learning (1) adversarial learning (1) classification (1) similarity learning (1) supervised learning (1) face recognition (1) generalization error (1) multi-class classification (1) sparse feature learning (1) outlier robustness (1) feature sharing (1) sublinear features (1) online algorithm (1) boosting algorithm (1) deep convolutional neural network (1) sparse feature (1) maximal loss (1) shareboost algorithm (1) sub-linear feature growth (1)

Papers

Learning a Metric Embedding for Face Recognition using the Multibatch Method NeurIPS 2016 Minimizing the Maximal Loss: How and Why ICML 2016 ShareBoost: Efficient multiclass learning with feature sharing NeurIPS 2011