Akihiro Matsukawa

3 papers · 2019–2020 · 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 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 🌱 Topic Pioneer ❓ The Questioner

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Venues

AAAI (1) ICLR (1) ICML (1)

Top co-authors

Yee Whye Teh (2) Balaji Lakshminarayanan (2) Dilan Gorur (2) Eric Nalisnick (2) Ang Li (1) Seyed Iman Mirzadeh (1) Mehrdad Farajtabar (1) Hassan Ghasemzadeh (1) Nir Levine (1)

Research topics

Deep Learning (3) Machine Learning (2) Learning Types · Deep Learning (2) Learning Types · Machine Learning (2) Models (2) Artificial Intelligence (1) Application Areas (1) Core AI (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

out-of-distribution detection (2) semi-supervised learning (1) variational inference (1) transfer learning (1) density estimation (1) knowledge distillation (1) marginal likelihood (1) generative model (1) deep neural network (1) normalizing flow (1) deep generative model (1) flow-based model (1) student network (1) teacher-student learning (1) teacher student (1) neural network (1) model compression (1) teacher assistant (1)

Papers

Improved Knowledge Distillation via Teacher Assistant AAAI 2020 Do Deep Generative Models Know What They Don't Know? ICLR 2019 Hybrid Models with Deep and Invertible Features ICML 2019