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A-Z Content, Page Guide
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AboutArabic-ALBERTA Prediction Framework for Fast Sparse Triangular SolvesA Novel Haptic Feature Set for the Classification of Interactive Motor Behaviors in Collaborative Object TransferAlgorithms of Adaptation in Inductive InferenceAn Interdisciplinary Look at Fairness in AI-driven Assistive Technologies: Mapping Value Sensitive Design (Human Computer Interaction) onto Data Protection PrinciplesAdvances in Neural SearchAffective Speech Modeling and Analysis: Robustness, Generalization, UsabilityAI Driven Molecular SimulationsAvailable Positions: Learning Rare Events in Autonomous DrivingA new single input multiple output deep temporal regression network (DTRN)AffectON: Incorporating Affect Into Dialog GenerationAssoc. Prof. Dr. Aykut Erdem has received the Science Academy's 2021 Young Scientists Award (BAGEP 2021)Artificial Intelligence CampAvailable Positions: BeyondMoore and SparCity ProjectsAvailable Positions: Deep Learning for Sketch RecognitionAvailable Positions: High Dimensional Signal and Image Processing, Machine Learning, Deep LearningAssist. Prof. Didem Unat, ACM SIGHP Emerging Woman Leader in Technical Computing AwardAsst. Prof. Fatma Güney Awarded ERC Starting Grant for Research Project "ENSURE"All NewsAll EventsAll AnnouncementsArtificial IntelligenceAI FellowshipsAI CommitteeApplicationAlumniAI MeetingsAI Summer CampAdministrative and Student Affairs SupportAhmet Canberk BaykalAndrew BondAI Stories
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Building Differentiable Models of the 3D WorldBarlow Twins: Self-Supervised Learning via Redundancy ReductionBeyond Wikipedia: Wikimedia Movement and Sister ProjectsBeyond Test Accuracies for Studying Deep Neural NetworksBeyondMoore: Pioneering a New Path in Parallel Programming Beyond Moore’s LawBoard of DirectorsBlogPostsBlogBoard of Advisorsblog testBatch and Interactive JobsBatch Jobs
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Courses and Educational ResourcesCooperative Perception and Control for Autonomous VehiclesCharacter Identification from Narrative TextContinuous-Time Model-Based Reinforcement LearningChallenging the Standards for Socio-political Event Information CollectionControllable Image SynthesisComputational Imaging: Integrating Physical and Learned Models using Plug-and-Play MethodsCan Learned Frame-Prediction Compete with Block-Motion Compensation for Video Coding?College of Engineering Outstanding Faculty AwardCyberphysical Blockchain-Enabled Peer-to-Peer Energy TradingCRAFT: A Benchmark for Causal Reasoning About Forces and InTeractionsCongratulations to the KUIS AI NLP Team!Courses offered by faculty of engineeringComputer VisionComputational Biology and MedicineCPU and Memory UsageCancelling JobsCluster IndexCompleted ProjectsConference Support Procedure
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DataDevelop New Deep Learning/Machine Learning Models for Medical Image AnalysisDevelopment and Application of Data-Driven Approaches to Make Sense out of Large-Scale and Heterogeneous Biomolecular DataDeepSym: An (Almost) End-to-End Symbol Extraction and Rule Learning System for Long-Horizon Robotic PlanningDeep Reinforcement Learning to Optimize Task Performance in Physical Human-Robot Co-ManipulationDecoupling The Input Graph and The Computational Graph: The Most Important Unsolved Problem in Graph Representation LearningDiagnostic Tools for Communication Pathologies in Parallel ArchitecturesDeep Learning for Image/Video Restoration and CompressionData AnalyticsDigital Signal ProcessingDL for Image/Video Nonlinear Signal ProcessingDL for BioinformaticsDisplaying Realistic Haptic Feedback on Touch Surfaces Using Machine/Deep LearningDistributed Systems IntelligenceDeep Learning for Medical Image AnalysisDeep Learning for Omnidirectional Video Analysisdfdu
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EducationEmotion Dependent Domain Adaptation for Speech Driven Affective Facial Feature SynthesisEnd-to-End Rate-Distortion Optimization for Bi-Directional Learned Video CompressionExplainable AI in Medical Image Analysis: Lessons Learned in Total Joint Arthroplasty (TJA) ResearchEnhancing the Creative Process in Digital PrototypingEquivalent Gaussian Model to Study The Generalization Performance of Random Feature ModelEfficient and Robust Learning on Non-Rigid Surfaces and GraphsEducational ResourcesEnvironment Modules
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Fully Attention Based Methods for Video UnderstandingFacets of Efficiency in NLPFinite-Width Neural Networks: A Landscape Complexity AnalysisFrequently Asked QuestionsFaculty PositionsFall 2020Fall 2021Fall 2022Fall 2023
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Generating Image Descriptions Guided by Speaker-Specific Sequential Human GazeGraduate ProgramsGraduate AdmissionsGrounded Language UnderstandingGuide of ClusterGPUs on KUACC ClusterGörkay Aydemir
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HardwareHow to engageHow strong are the weak labels in digital histopathology?Hierarchical Clustering Operators for Unsupervised Object DiscoveryHow to Avoid Pitfalls in Applied Data Science / Machine Learning Projects - Lessons Learnt the Hard WayHuman Computer InteractionHow do I Login to the HPC Machines?How do I copy files/data to the HPC Machines?How to Use Storage?
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IndustryInternal PagesInformation Extraction from Text Intensive and Visually Rich Banking DocumentsInstructions, Abstraction, and Theory-of-MindImproving Human-Robot Conversational GroupsInstance segmentation and 3D multi-object tracking for Autonomous DrivingImbuing Collaborative Robotic Manipulators with Human-Robot Interaction SkillsInterText: Modelling Text as A Living Object in Cross-Document ContextImages, Language, and Actions: The Three Ingredients of Robot LearningInteractive Robot Perception and Learning for Mobile ManipulationInternational Summer School on AI organized by Bilgi IT Law Institute & KUIS AI CenterIntention Detection for Physical Human-Robot Interaction Using Machine/Deep LearningInvited PodcastsInteractive Jobs
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Job Log Files
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KUIS AI Center PhD and MSc Fellowships Information WebinarKey Elements of The Future Legally Binding Instrument of The Council of Europe (CoE) Ad-Hoc Committee on AI (CAHAI)Knowledge Augmentation for Language ModelsKUIS AI  is looking for talented and motivated graduate students!KUSRP 2022 Applications are open!KUIS AI Open House Event on May 13thKUIS AI Meetings Internal PageKUIS AI Hiring ProcedureKUACC HPC (High Performance Computing) ClusterKUIS AI Center LimitsKUACC HPC Clusterkuacc-summarykuacc-infokuacc-nodesKU Summer Research Program (SRP)KUIS AI Fellowship Terms
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Learning Legged LocomotionLearning with Scarce and Biased Data in Natural Language ProcessingLearning Optical Flow: from Model to DataLearning Preferences for Interactive AutonomyLanguage Models as World ModelsLearning Causal Relations and VariablesLatest Computational Biology and Medicine PublicationsLatest Computer Vision PublicationsLatest Human-Computer Interaction PublicationsLatest Machine Learning PublicationsLatest Multimedia Signal Processing PublicationsLatest Natural Language Processing PublicationsLatest Robotics PublicationsLatest Systems and AI Publications
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Mission & HistoryMultiple-Model Learned Image Processing Benefiting from Class-Specific Image PriorsML Model Optimization with Weights & BiasesMirror Neurons from a Developmental Robotics PerspectiveMulti-Accelerator Execution of Neural Network Inference on Diversely Heterogeneous SoCsMining Genomic Resources for Antimicrobial PeptidesMachine Learning for Weather and Climate PredictionMultimodality in Computer Vision: Understanding and Generating Visual Data Using Multiple ModalitiesModeling 3D Shape and Motion from VideoMultimedia Signal ProcessingMachine LearningMO-RL of SC for ManipulatorsMachine Learning for Multimodal and Intelligent User InterfacesMediaMonitoring Running JobsMonitoring KUACC SystemMost Common Issues
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Numerically Stable Deep Learning in Reduced PrecisionNextG Wireless Systems at the Nexus of ML, Mobile XR, and UAV-IoTNewsNatural Language ProcessingNonequilibrium Physics and Machine LearningNew PublicationsNafiseh Jabbari TofighiNazir NayalNewsletter
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On the Path to Universality for Machine Translation: Multilinguality, Scale, Objectives, and OptimizationObject Manipulation with Physics-Based ModelsOptimization and Co-design Framework for Sparse ComputationOpen PositionsOpen Post-Doctoral Fellow Positions
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ProgramsPerceptual Video Super-ResolutionPhysical Reasoning: How to Go from Seeing to ActingPolytopic Matrix Factorization and Information Maximization Based Unsupervised LearningPrediction of Protein-Protein Interactions Using Deep LearningPlanet-Scale Big Data Systems at Tech GiantsProInterVal: Validation of Protein-Protein Interactions through Learned Interface RepresentationsPostdoctoral ResearcherProjectsPublicationsPositionsPostdoc PositionsPeoplePast AI MeetingsParallel Programming Beyond Moore’s LawPositions Funded through Marie Sklodowska-Curie ActionsPositions Funded through TUBITAK SchemesPast AI Meetings - p
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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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SoftwareSparCity: Optimization and Co-design Framework for Sparse ComputationState-of-the-art Techniques for Deep Edge IntelligenceSelf-organizing Operational Neural Networks and Image Super-resolutionScaling Up Sign Language RecognitionStructure, Motion, and Future Prediction in Dynamic ScenesSwitch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient SparsityShifting Paradigms in Multi-Object TrackingSelf-Supervised Representation Learning for Speech ProcessingState of The Art in Deep Learning for Image/Video Super-ResolutionSelf-Supervised Learning with an Information Maximization CriterionSketching into The Future of AISample PageSupport LettersSystems and AISummer InternshipsStudentsSpring 2021Summer 2021StaffSLURM - Queuing Systemsqueue & kuacc-queuescontrolsinfoscontrol show node node_nameSpring 2022Spring 2023Student Profiles
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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 SegmentationUnsupervised Multi-Object Detection and Tracking in Synthetic Videos Using Slot AttentionUndergraduate Tracks
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Visual Perception Models for Semantic Video UnderstandingVahideh Hayyolalam
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What Learning Algorithm Is In-Context Learning? Investigations with Linear ModelsWe held on a very productive workshop with İş Bank Artificial Intelligence Team.Would you like to visit KUIS AI and see us in action? KUIS AI Open House Event on May 9th, 2023!
 
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3D Perception for Creativity Assistance3D Digital Reality Modeling for Perception
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