Found 225 presentations matching your search
Mind map of common terms used in context of Generative AI.
In this talk, we will explore the challenges and strategies of tuning low latency online feature sto...
The future of AI
Word Sense Disambiguation A word's meaning depends on its association with other words in ...
Computational Representation of Language this is particularly one-hot enconding technique
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors
Seminar PPT on Duplicate Question Pair
Explore how fine-tuning the Segment Anything Model (SAM) enhances image segmentation tasks like medi...
Autoregressive Adaptive Hypergraph Transformer for Skeleton-based Activity Recognition
metapath2vec: Scalable Representation Learning for Heterogeneous Networks
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
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The A Generalist A Comprehensive Career Roadmap
Kohonen-Self-Organizing-Maps-SOM-Visualizing-High-Dimensional-Data
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning
Self-Supervised Relation Alignment for Scene Graph Generation
Life imitates art again as technologies previously only seen in science fiction media are, one by on...
A Simple Baseline for Weakly-Supervised Scene Graph Generation
The generalization capabilities vary: transformers succeed in generalizing for comparison but not fo...
En el marco del proyecto Pro2Haters y como parte del tercer hito hemos organizado la tarea internaci...
MACHINE LEARNING
Business Problem Summary: The university needs to generate on-demand content for various courses, b...
advanced PostgreSQL extension on top of pgvector for optimizing vector similarity search for divers...
![[NS][Lab_Seminar_240626]GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification.pptx](https://slidepub.com/thumb/5609/269945609.jpg)
![240520_Thanh_LabSeminar[G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors].pptx](https://slidepub.com/thumb/1455/268771455.jpg)
![[NS][Lab_Seminar_250303]Autoregressive Adaptive Hypergraph Transformer for Skeleton-based Activity Recognition.pptx](https://slidepub.com/thumb/0865/276220865.jpg)
![240715_JW_labseminar[metapath2vec: Scalable Representation Learning for Heterogeneous Networks].pptx](https://slidepub.com/thumb/2976/270432976.jpg)
![241007_JH_labseminar[LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation].pptx](https://slidepub.com/thumb/5923/272285923.jpg)
![[NS][Lab_Seminar_240703]GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning.pptx](https://slidepub.com/thumb/1138/270061138.jpg)
![[NS][Lab_Seminar_240705]Self-Supervised Relation Alignment for Scene Graph Generation.pptx](https://slidepub.com/thumb/2938/270122938.jpg)
![[DSC DACH 24] AI and XR - Ivan Voras](https://slidepub.com/thumb/2082/272262082.jpg)
![[NS][Lab_Seminar_240619]A Simple Baseline for Weakly-Supervised Scene Graph Generation.pptx](https://slidepub.com/thumb/5733/269945733.jpg)
