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Quantification of Clinically Useful Information from 3D and 4D MR Images: Computational and Deep Learning Techniques for Image Reconstruction, Motion Compensation and Quantitative Parameter Estimation
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ReportsResourcesResearchReal Artificial Audio Intelligence: Computers Can Also HearReinforcement Learning for Solving High Complexity Decision-Making ProblemsReward Learning From Very Few DemonstrationsRoboticsResearch HighlightsResearch Faculty PositionsResearch Engineer Positions
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T
Towards More Reusable and Adaptive Models for Visual RecognitionThe Trade-offs of Transfer Learning: Lessons from Meta-Learning and Multi-Task LearningTowards Scalable and Adaptive Machine Learning Design and TrainingTightly Connecting Vision and Language: Localized Narratives and BeyondText-Guided Image Manipulation Using GAN InversionTwo Challenges Behind Visual Dialogues: Grounding Negation and Asking an Informative QuestionTowards Semantic Understanding in Egocentric VideosTurkish Data Depository Project: Towards a Unified Turkish NLP Research Platform [Supported by KUIS AI and Türkiye Açık Kaynak Platformu (TAKP)]The Tip of the Iceberg: How to Make ML for Systems WorkThe City Answers Your Questions: Sensory Intelligence at the EdgeThe End of Words? Language Modelling with PixelsThe Difference between Language and ThoughtThe Road Less Travelled: One-Shot Learning of Rare Events in Autonomous DrivingThere are currently several open positions at KUIS AI!Two events in a row!  You are invited to our Open House (physical) and Info Webinar (online)!
U-Ü
Use of Affective Visual Information for Summarization of Human-Centric VideosUncovering The Neural Circuitry in The Brain Using Recurrent Neural NetworksUnknown Object SegmentationUndergraduate Tracks
V
Visual Perception Models for Semantic Video Understanding
W
What Learning Algorithm Is In-Context Learning? Investigations with Linear Models
 
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3D Perception for Creativity Assistance3D Digital Reality Modeling for Perception
HomeThe Trade-offs of Transfer Learning: Lessons from Meta-Learning and Multi-Task Learning
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The Trade-offs of Transfer Learning: Lessons from Meta-Learning and Multi-Task Learning

March 24, 2021

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