🤖 Machine Learning Papers

Networks for approximation and learning

T. Poggio, F. Girosi (1990)

Proceedings of the IEEE

Running enhances neurogenesis, learning, and long-term potentiation in mice

Henriette van Praag, Brian R. Christie et al. (1999)

Proceedings of the National Academy of Sciences

Improving Students’ Learning With Effective Learning Techniques

John Dunlosky, Katherine A. Rawson et al. (2013)

Psychological Science in the Public Interest

Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification

Ignacio Arganda-Carreras, Verena Kaynig et al. (2017)

Bioinformatics

An Introduction to Variational Autoencoders

Diederik P. Kingma, Max Welling (2019)

Foundations and Trends® in Machine Learning

Product Quantization for Nearest Neighbor Search

H Jégou, M Douze et al. (2011)

IEEE Transactions on Pattern Analysis and Machine Intelligence

Selection of relevant features and examples in machine learning

Avrim L. Blum, Pat Langley (1997)

Artificial Intelligence

A survey of robot learning from demonstration

Brenna D. Argall, Sonia Chernova et al. (2009)

Robotics and Autonomous Systems

Event-Based Vision: A Survey

Guillermo Gallego, Tobi Delbruck et al. (2022)

IEEE Transactions on Pattern Analysis and Machine Intelligence

Professional Development and Teacher Learning: Mapping the Terrain

Hilda Borko (2004)

Educational Researcher

ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning

Ahmed Elnaggar, Michael Heinzinger et al. (2022)

IEEE Transactions on Pattern Analysis and Machine Intelligence

Ensemble learning: A survey

Omer Sagi, Lior Rokach (2018)

WIREs Data Mining and Knowledge Discovery

Learning Vocabulary in Another Language

I. S. P. Nation (2001)

On the Optimality of the Simple Bayesian Classifier under Zero-One Loss

Pedro Domingos, Michael Pazzani (1997)

Machine Learning

DeepXDE: A Deep Learning Library for Solving Differential Equations

Lu Lu, Xuhui Meng et al. (2021)

SIAM Review