Machine Learning in Python: Main developments and technology trends in
data science, machine learning, and artificial intelligence

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

12 February 2020

Joshua Patterson

Papers citing "Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence"

18 / 68 papers shown

Title
Accelerating Genetic Programming using GPUs Vimarsh Sathia Venkat R. Ganesh Shankara Rao Thejaswi Nanditale 18 8 0 15 Oct 2021
LB-CNN: An Open Source Framework for Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy R. Dogaru I. Dogaru CVBM 21 3 0 25 Jun 2021
Ten Quick Tips for Deep Learning in Biology Benjamin D. Lee A. Gitter Casey S. Greene S. Raschka F. Maguire ... Alexandr A Kalinin T. Triche Benjamin J. Lengerich Timothy J. Triche Jr S. Boca OOD 19 26 0 29 May 2021
Automated Detection of Abnormalities from an EEG Recording of Epilepsy Patients With a Compact Convolutional Neural Network Takuhei Shoji Noboru Yoshida Toshihisa Tanaka 11 27 0 21 May 2021
GPU Semiring Primitives for Sparse Neighborhood Methods Corey J. Nolet Divye Gala Edward Raff Joe Eaton Brad Rees John Zedlewski Tim Oates 19 4 0 13 Apr 2021
Leveraging Reinforcement Learning for evaluating Robustness of KNN Search Algorithms Pramod Vadiraja Christoph Balada OOD 16 1 0 10 Feb 2021
Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness Kaiping Chen Sang Jung Kim Qiantong Gao S. Raschka 19 8 0 01 Feb 2021
Efficient MPI-based Communication for GPU-Accelerated Dask Applications Hari Subramoni J. Hashmi Hari Subramoni D. Panda 14 3 0 21 Jan 2021
Concept Generalization in Visual Representation Learning Mert Bulent Sariyildiz Yannis Kalantidis Diane Larlus Alahari Karteek SSL 28 50 0 10 Dec 2020
GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms Jiwei Liu Bojan Tunguz Gilberto Titericz 19 8 0 08 Dec 2020
Bringing UMAP Closer to the Speed of Light with GPU Acceleration Corey J. Nolet V. Lafargue Edward Raff Thejaswi Nanditale Tim Oates John Zedlewski Joshua Patterson 29 33 0 01 Aug 2020
Looking back to lower-level information in few-shot learning Zhongjie Yu S. Raschka 6 4 0 27 May 2020
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning K. Jablonka D. Ongari S. M. Moosavi B. Smit AI4CE 23 350 0 18 Jan 2020
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 77 764 0 13 Nov 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 319 1,049 0 10 Feb 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,835 0 08 Jul 2016