🤖 Machine Learning Papers

LSTM: A Search Space Odyssey

Klaus Greff, Rupesh K. Srivastava et al. (2017)

IEEE Transactions on Neural Networks and Learning Systems

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

Alexander Mathis, Pranav Mamidanna et al. (2018)

Nature Neuroscience

Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology

Walter W. Powell, Kenneth W. Koput et al. (1996)

Administrative Science Quarterly

The myopia of learning

Daniel A. Levinthal, James G. March (1993)

Strategic Management Journal

Fast approximate energy minimization via graph cuts

Y. Boykov, O. Veksler et al. (2001)

IEEE Transactions on Pattern Analysis and Machine Intelligence

Deep Learning Face Attributes in the Wild

Ziwei Liu, Ping Luo et al. (2015)

2015 IEEE International Conference on Computer Vision (ICCV)

A survey of transfer learning

Karl Weiss, Taghi M. Khoshgoftaar et al. (2016)

Journal of Big Data

Organizational Learning

Barbara Levitt, James G. March (1988)

Annual Review of Sociology

Squeeze-and-Excitation Networks

Jie Hu, Li Shen et al. (2020)

IEEE Transactions on Pattern Analysis and Machine Intelligence

The random subspace method for constructing decision forests

Tin Kam Ho (1998)

IEEE Transactions on Pattern Analysis and Machine Intelligence

The global landscape of AI ethics guidelines

Anna Jobin, Marcello Ienca et al. (2019)

Nature Machine Intelligence

The Nature of Statistical Learning Theory

Vladimir N. Vapnik (2000)

Innovation, Market Orientation, and Organizational Learning: An Integration and Empirical Examination

Robert F. Hurley, G. Tomas M. Hult (1998)

Journal of Marketing

Dynamic Graph CNN for Learning on Point Clouds

Yue Wang, Yongbin Sun et al. (2019)

ACM Transactions on Graphics

3D Convolutional Neural Networks for Human Action Recognition

Shuiwang Ji, Wei Xu et al. (2013)

IEEE Transactions on Pattern Analysis and Machine Intelligence