Data Science / Machine Learning / AI / Big Data (VK)
Deep Learning of Conjugate Mappings
Bramburger et al.: https://arxiv.org/abs/2104.01874
#DeepLearning #DynamicalSystems #MachineLearning
Deep Learning of Conjugate Mappings
Bramburger et al.: https://arxiv.org/abs/2104.01874
#DeepLearning #DynamicalSystems #MachineLearning
Data Science / Machine Learning / AI / Big Data (VK)
Task-Agnostic Morphology Evolution
Hejna III et al.: https://arxiv.org/abs/2102.13100
#MachineLearning #ArtificialIntelligence #Robotics
Task-Agnostic Morphology Evolution
Hejna III et al.: https://arxiv.org/abs/2102.13100
#MachineLearning #ArtificialIntelligence #Robotics
Data Science / Machine Learning / AI / Big Data (VK)
Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction
Seidl et al.: https://arxiv.org/abs/2104.03279
#MachineLearning #ArtificialIntelligence #Biomolecules
Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction
Seidl et al.: https://arxiv.org/abs/2104.03279
#MachineLearning #ArtificialIntelligence #Biomolecules
Data Science / Machine Learning / AI / Big Data (VK)
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns
Lertvittayakumjorn et al.: https://arxiv.org/abs/2104.03958
#ArtificialIntelligence #DeepLearning #MachineLearning
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns
Lertvittayakumjorn et al.: https://arxiv.org/abs/2104.03958
#ArtificialIntelligence #DeepLearning #MachineLearning
Data Science / Machine Learning / AI / Big Data (VK)
Representing Partial Programs with Blended Abstract Semantics
Nye et al.: https://arxiv.org/abs/2012.12964
#ProgrammingLanguages #ArtificialIntelligence #MachineLearning
Representing Partial Programs with Blended Abstract Semantics
Nye et al.: https://arxiv.org/abs/2012.12964
#ProgrammingLanguages #ArtificialIntelligence #MachineLearning
Data Science / Machine Learning / AI / Big Data (VK)
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
Rozemberczki et al.: https://arxiv.org/abs/2104.07788
#MachineLearning #ArtificialIntelligence #PyTorch
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
Rozemberczki et al.: https://arxiv.org/abs/2104.07788
#MachineLearning #ArtificialIntelligence #PyTorch
Data Science / Machine Learning / AI / Big Data (VK)
CS224W: Machine Learning with Graphs
Stanford / Winter 2021 [slides] pdf
http://web.stanford.edu/class/cs224w/
#machinelearning #graphs
CS224W: Machine Learning with Graphs
Stanford / Winter 2021 [slides] pdf
http://web.stanford.edu/class/cs224w/
#machinelearning #graphs
Data Science / Machine Learning / AI / Big Data (VK)
Zero-Shot Detection via Vision and Language Knowledge Distillation
Gu et al.: https://arxiv.org/abs/2104.13921
#ArtificialIntelligence #DeepLearning #MachineLearning
Zero-Shot Detection via Vision and Language Knowledge Distillation
Gu et al.: https://arxiv.org/abs/2104.13921
#ArtificialIntelligence #DeepLearning #MachineLearning
Data Science / Machine Learning / AI / Big Data (VK)
Total Relighting: Learning to Relight Portraits for Background Replacement
Pandey et al.: https://augmentedperception.github.io/total_relighting/
#ArtificialIntelligence #DeepLearning #MachineLearning
Total Relighting: Learning to Relight Portraits for Background Replacement
Pandey et al.: https://augmentedperception.github.io/total_relighting/
#ArtificialIntelligence #DeepLearning #MachineLearning
Data Science / Machine Learning / AI / Big Data (VK)
baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents
Michael A. Alcorn, Anh Nguyen: https://arxiv.org/abs/2104.11980
#ArtificialIntelligence #MachineLearning #MultiagentSystems
baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents
Michael A. Alcorn, Anh Nguyen: https://arxiv.org/abs/2104.11980
#ArtificialIntelligence #MachineLearning #MultiagentSystems
Data Science / Machine Learning / AI / Big Data (VK)
The 12 types of ML papers.
#MachineLearning #ML #DataScience
The 12 types of ML papers.
#MachineLearning #ML #DataScience