Katja Hofmann

Researcher at Microsoft Research Cambridge, UK

About

Future interactive systems will learn directly from their users, and continuously adapt to their preferences. My research goal is to develop exploration, reward, and learning approaches that will make this possible. [...]

Pages

  • About
  • Contact
  • Publications

Search

Contact

Katja Hofmann

Intelligent Systems Lab Amsterdam
Informatics Institute
University of Amsterdam

Room C3.258
Science Park 904
1098 XH Amsterdam

+31 (20) 525 6767

LinkedIn
Twitter

Recent Posts

  • Query Formulation with Query Auto-Completion
  • RUSSIR 2014: Lectures on Online Experimentation for Information Retrieval
  • Fast and Reliably Online Learning to Rank for Information Retrieval
  • Practical Online Retrieval Evaluation
  • Balancing Exploration and Exploitation in Online Learning to Rank for IR

Recent Tweets

  • RT @MSFTResearch: Researchers created the ORBIT benchmark and dataset to advance few-shot, high-variation learning with teachable object re… 6 hours ago
  • RT @karch_tristan: I’m thrilled to announce that our work Grounding Spatio-Temporal Language with Transformer is accepted at NeurIPS 2021!… 5 days ago
  • RT @orbit_a11y: Hear about our work at ACM ASSETS on Wednesday 20 October at 3pm EDT about lessons learned from constructing a disability-f… 6 days ago
Follow @katjahofmann

RSS Microsoft Research News

  • Announcing the ORBIT dataset: Advancing real-world few-shot learning using teachable object recognition
    Object recognition systems have made spectacular advances in recent years, but they rely on training datasets with thousands of high-quality, labelled examples per object category. Learning new objects from only a few examples could open the door to many new applications. For example, robotics manufacturing requires a system to quickly learn new parts, while […]
  • First ever Microsoft Research Summit explores science and technology aimed at big challenges
    For 30 years, Microsoft Research has brought together great minds from around the world to take on the biggest research challenges facing society. As we enter our fourth decade, the need for collaborative research—and the opportunities it presents—have never been greater. That’s why we’re so thrilled about the inaugural Microsoft Research Summit, October 19– […]
  • Microsoft Translator: Now translating 100 languages and counting!
    Today, we’re excited to announce that Microsoft Translator has added 12 new languages and dialects to the growing repertoire of Microsoft Azure Cognitive Services Translator, bringing us to a total of 103 languages! The new languages, which are natively spoken by 84.6 million people, are Bashkir, Dhivehi, Georgian, Kyrgyz, Macedonian, Mongolian (Cyrillic), M […]

RSS Recent MSR Publications

  • Announcing the ORBIT dataset: Advancing real-world few-shot learning using teachable object recognition
    Object recognition systems have made spectacular advances in recent years, but they rely on training datasets with thousands of high-quality, labelled examples per object category. Learning new objects from only a few examples could open the door to many new applications. For example, robotics manufacturing requires a system to quickly learn new parts, while […]
  • First ever Microsoft Research Summit explores science and technology aimed at big challenges
    For 30 years, Microsoft Research has brought together great minds from around the world to take on the biggest research challenges facing society. As we enter our fourth decade, the need for collaborative research—and the opportunities it presents—have never been greater. That’s why we’re so thrilled about the inaugural Microsoft Research Summit, October 19– […]
  • Microsoft Translator: Now translating 100 languages and counting!
    Today, we’re excited to announce that Microsoft Translator has added 12 new languages and dialects to the growing repertoire of Microsoft Azure Cognitive Services Translator, bringing us to a total of 103 languages! The new languages, which are natively spoken by 84.6 million people, are Bashkir, Dhivehi, Georgian, Kyrgyz, Macedonian, Mongolian (Cyrillic), M […]

RSS New at ILPS

  • An error has occurred; the feed is probably down. Try again later.
Blog at WordPress.com.
Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use.
To find out more, including how to control cookies, see here: Cookie Policy