MAI New Post March 2, 2021 Neural Topic Modeling with Continual Lifelong Learning New statistical challenges from decentralized data #Generative Model #Massive AI
Machine Learning January 5, 2021 Wide Open Spaces: A Statistical Technique for Measuring Space Creation in Professional Soccer This paper presents a method for quantifying spatial value occupation and generation during open play. #Machine Learning #Sports Analysis
Deep Learning December 28, 2020 Semantic Image Synthesis with Spatially-Adaptive Normalization #Deep Learning
Deep Learning Theory December 21, 2020 Scaling Laws for Neural Language Models Get the empirical scaling laws for language model performance on the cross-entropy loss. #Deep Learning Theory #Massive AI #NLP
Federated Learning December 7, 2020 Federated Learning intro New statistical challenges from decentralized data #Federated Learning #Multi-Task Learning
Deep Learning November 16, 2020 Why bigger is not always better: on finite and infinite neural networks The lack of representation or equivalently kernel learning leads to less flexibility and hence worse performance. #Deep Learning Theory #Bayesian Statistics
Unsupervised Learning November 9, 2020 Neural Topic Modeling with Continual Lifelong Learning Recent advances in topic modeling #Topic Modeling #Unsupervised Learning
Meta Learning November 3, 2020 Metric Based Meta Learning Matching Networks, Prototypical Networks, Siamese Networks, Relation Networks #Meta Learning
