ArtificialIntelligenceArticles
Deep Learning for Symbolic Mathematics https://arxiv.org/abs/1912.01412v1
Deep Learning for Symbolic Mathematics
Authors show that ANN can be surprisingly good at more elaborated tasks in mathematics, such as symbolic integration and solving differential equations.
#neuralnetworks #deeplearning #mathematics #math #matlab
https://arxiv.org/abs/1912.01412
Authors show that ANN can be surprisingly good at more elaborated tasks in mathematics, such as symbolic integration and solving differential equations.
#neuralnetworks #deeplearning #mathematics #math #matlab
https://arxiv.org/abs/1912.01412
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
Such et al.: https://arxiv.org/abs/1912.07768
#ArtificialIntelligence #MachineLearning #NeuralNetworks
Such et al.: https://arxiv.org/abs/1912.07768
#ArtificialIntelligence #MachineLearning #NeuralNetworks
arXiv.org
Generative Teaching Networks: Accelerating Neural Architecture...
This paper investigates the intriguing question of whether we can create learning algorithms that automatically generate training data, learning environments, and curricula in order to help AI...
Neural Smoke Stylization with Color Transfer
Christen et al.: https://arxiv.org/abs/1912.08757
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Christen et al.: https://arxiv.org/abs/1912.08757
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Hierarchical Graph Pooling with Structure Learning
Zhang et al.: https://arxiv.org/abs/1911.05954
#ArtificialIntelligence #Graph #NeuralNetworks
Zhang et al.: https://arxiv.org/abs/1911.05954
#ArtificialIntelligence #Graph #NeuralNetworks
arXiv.org
Hierarchical Graph Pooling with Structure Learning
Graph Neural Networks (GNNs), which generalize deep neural networks to graph-structured data, have drawn considerable attention and achieved state-of-the-art performance in numerous graph related...
How to generate ideas in Machine Learning?
Asadulaev Arip : https://medium.com/datadriveninvestor/how-to-generate-ideas-in-machine-learning-bdb9a7267392
#ArtificialIntelligence #MachineLearning #NeuralNetworks
Asadulaev Arip : https://medium.com/datadriveninvestor/how-to-generate-ideas-in-machine-learning-bdb9a7267392
#ArtificialIntelligence #MachineLearning #NeuralNetworks
Medium
How to generate ideas in Machine Learning?
Little story about https://www.infornopolitan.xyz
Restoring ancient text using deep learning: a case study on Greek epigraphy"
Assael et al.: https://arxiv.org/abs/1910.06262
Code: https://github.com/sommerschield/ancient-text-restoration
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Assael et al.: https://arxiv.org/abs/1910.06262
Code: https://github.com/sommerschield/ancient-text-restoration
#ArtificialIntelligence #DeepLearning #NeuralNetworks
arXiv.org
Restoring ancient text using deep learning: a case study on Greek epigraphy
Ancient history relies on disciplines such as epigraphy, the study of ancient inscribed texts, for evidence of the recorded past. However, these texts, "inscriptions", are often damaged over the...
Machine Learning from scratch!
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library, by Quan Tran: https://github.com/anhquan0412/basic_model_scratch
#ArtificialIntelligence #DeepLearning #NeuralNetworks #MachineLearning
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library, by Quan Tran: https://github.com/anhquan0412/basic_model_scratch
#ArtificialIntelligence #DeepLearning #NeuralNetworks #MachineLearning
GitHub
GitHub - anhquan0412/basic_model_scratch: Implementation of some classic Machine Learning model from scratch and benchmarking against…
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library - GitHub - anhquan0412/basic_model_scratch: Implementation of some classic Machine Lea...
Deep RL Bootcamp
By Pieter Abbeel, Rocky Duan, Peter Chen, Andrej Karpathy et al.: https://sites.google.com/view/deep-rl-bootcamp/lectures
#ArtificialIntelligence #DeepLearning #MachineLearning #NeuralNetworks #ReinforcementLearning
By Pieter Abbeel, Rocky Duan, Peter Chen, Andrej Karpathy et al.: https://sites.google.com/view/deep-rl-bootcamp/lectures
#ArtificialIntelligence #DeepLearning #MachineLearning #NeuralNetworks #ReinforcementLearning
Selective Brain Damage: Measuring the Disparate Impact of Model Compression
Sara Hooker, Aaron Courville, Yann Dauphin, Andrea Frome: https://weightpruningdamage.github.io
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Sara Hooker, Aaron Courville, Yann Dauphin, Andrea Frome: https://weightpruningdamage.github.io
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Deep Neural Network Pruning
Selective Brain Damage
What do pruned deep neural networks forget?
How Much Position Information Do Convolutional Neural Networks Encode?
Islam et al.: https://arxiv.org/abs/2001.08248
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Islam et al.: https://arxiv.org/abs/2001.08248
#ArtificialIntelligence #DeepLearning #NeuralNetworks