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: Recordings from the #AIGamingResearch Summit are now live! Catch the plenary talk and opening remarks from @XboxP3 and @… 3 hours ago
  • RT @jennwvaughan: Key dates posted for #NeurIPS2021! đź“Ł Paper submission deadline: May 26 (Abstracts May 19) Full CFP coming soon! https:/… 6 days ago
  • RT @neuro_data: Thanks so much to @katjahofmann for such an interesting and lively discussion last week on #LearningSalon, where we discuss… 1 week ago
Follow @katjahofmann

RSS Microsoft Research News

  • Learning visuomotor policies for autonomous systems from event-based cameras
    Editor’s note: This research was conducted by Sai Vemprala, Senior Researcher, and Ashish Kapoor, Partner Researcher, of Microsoft Research along with Sami Mian, who was a PhD Researcher at the University of Pittsburgh and an intern at Microsoft at the time of the work. Autonomous systems are composed of complex perception-action loops, where observations of […]
  • The science behind semantic search: How AI from Bing is powering Azure Cognitive Search
    Azure Cognitive Search is a cloud search service that gives developers APIs and tools to build rich search experiences over private, heterogeneous content in web, mobile, and enterprise applications. It has multiple components, including an API for indexing and querying, seamless integration through Azure data ingestion, deep integration with Azure Cognitive […]
  • HEXA: Self-supervised pretraining with hard examples improves visual representations
    Humans perceive the world through observing a large number of visual scenes around us and then effectively generalizing—in other words, interpreting and identifying scenes they haven’t encountered before—without heavily relying on labeled annotations for every single scene. One of the core aspirations in artificial intelligence is to develop algorithms and t […]

RSS Recent MSR Publications

  • Learning visuomotor policies for autonomous systems from event-based cameras
    Editor’s note: This research was conducted by Sai Vemprala, Senior Researcher, and Ashish Kapoor, Partner Researcher, of Microsoft Research along with Sami Mian, who was a PhD Researcher at the University of Pittsburgh and an intern at Microsoft at the time of the work. Autonomous systems are composed of complex perception-action loops, where observations of […]
  • The science behind semantic search: How AI from Bing is powering Azure Cognitive Search
    Azure Cognitive Search is a cloud search service that gives developers APIs and tools to build rich search experiences over private, heterogeneous content in web, mobile, and enterprise applications. It has multiple components, including an API for indexing and querying, seamless integration through Azure data ingestion, deep integration with Azure Cognitive […]
  • HEXA: Self-supervised pretraining with hard examples improves visual representations
    Humans perceive the world through observing a large number of visual scenes around us and then effectively generalizing—in other words, interpreting and identifying scenes they haven’t encountered before—without heavily relying on labeled annotations for every single scene. One of the core aspirations in artificial intelligence is to develop algorithms and t […]

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