Abner Guzmán-rivera

4 papers · 2012–2014 · 3 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 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

AISTATS (2) CVPR (1) NeurIPS (1)

Top co-authors

Pushmeet Kohli (4) Dhruv Batra (3) Ben Glocker (1) Andrew Fitzgibbon (1) Rob Rutenbar (1) Shahram Izadi (1) Toby Sharp (1) Jamie Shotton (1)

Research topics

Machine Learning (4) Core Methods (4) Computer Vision (3) Analysis (2) Learning Types · Machine Learning (2) Optimization & Theory (2) Processing (2) Deep Learning (1) Interdisciplinary (1) Mathematics & Optimization (1) Learning Types · Deep Learning (1) Optimization (1) Science (1)

Keywords

structured prediction (2) protein side-chain prediction (2) ensemble learning (1) pose estimation (1) map inference (1) map estimation (1) structured output prediction (1) machine learning (1) quadratic programming (1) structural svm (1) multi-output learning (1) multiple choice learning (1) max-margin formulation (1) image co-segmentation (1) structural support vector machine (1) loss function (1) multiple hypothesis (1) camera relocalization (1) diverse prediction (1) diverse multiple choice learning (1)

Papers

Efficiently Enforcing Diversity in Multi-Output Structured Prediction AISTATS 2014 Multi-Output Learning for Camera Relocalization CVPR 2014 DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes AISTATS 2013 Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NeurIPS 2012