Prof. Danica Sutherland — Research Profile
University of British Columbia · Computer Science
About
브리티시컬럼비아 대학교 컴퓨터과학과 소속 Danica Sutherland 교수의 등록된 연구 분야는 AI & Machine Learning, Statistical & Theoretical Machine Learning입니다.
Research keywords
Recent papers
- Global Communication or Graph-Specific Memory?PreprintarXiv (Cornell University) · Oct 5
- Memorize, Adapt, Ignore: Diagnosing Robot Learning Mechanisms under Training Data VariationPreprintarXiv (Cornell University) · Sep 29
- Understanding Generalization Requires Universal InductionPreprintarXiv (Cornell University) · Sep 28
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Nandita Vijaykumar 교수 연구실
University of Toronto · Computer Science
FOCUS: From Privileged States to RGB-D with Controlled Modality Switching and Representation AlignmentPreprintarXiv (Cornell University) · Oct 8Shared topic: Reinforcement Learning in Robotics
Colin Raffel 교수 연구실
University of Toronto · Computer Science
Initialization Improves LLM-Driven DiscoveryPreprintarXiv (Cornell University) · Sep 30Shared topic: Artificial Intelligence Applications
Cyrus Neary 교수 연구실
University of British Columbia · Electrical and Computer Engineering
Multi-Fidelity Policy Gradients Stabilize Data-Scarce Reinforcement LearningPreprintarXiv (Cornell University) · Oct 1Shared topic: Reinforcement Learning in Robotics
Other labs in this department
- Aastha Mehta 교수 연구실
Systems & Networking, Security & Privacy
- Akshay Ramachandran 교수 연구실
Algorithms, Mathematical Programming
- Alex Summers 교수 연구실
Programming Languages, Formal Methods, Software Engineering, Program Analysis & Verification
- Alla Sheffer 교수 연구실
Virtual & Augmented Reality, Visual Computing
- Andrew Roth 교수 연구실
AI & Machine Learning, Bioinformatics & Computational Biology
- Anne Condon 교수 연구실
Algorithms, Bioinformatics & Computational Biology