Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction

7 December 2017

Papers citing "Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction"

9 / 9 papers shown

Title
Self-Training with Differentiable Teacher Simiao Zuo Yue Yu Chen Liang Haoming Jiang Siawpeng Er Chao Zhang T. Zhao H. Zha 41 14 0 15 Sep 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang Abulikemu Abuduweili Quanming Yao Dejing Dou 31 67 0 16 Jul 2021
End-to-End Weak Supervision Salva Rühling Cachay Benedikt Boecking A. Dubrawski NoLa 25 40 0 05 Jul 2021
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition S. Raschka Benjamin Kaufman AI4CE 21 67 0 17 Jan 2020
SMILES-X: autonomous molecular compounds characterization for small datasets without descriptors G. Lambard Ekaterina Gracheva 19 20 0 20 Jun 2019
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images I. Cortés-Ciriano A. Bender MedIm 24 51 0 22 Nov 2018
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction Garrett B. Goh Khushmeen Sakloth Charles Siegel Abhinav Vishnu J. Pfaendtner HAI 25 11 0 13 Aug 2018
Molecular Structure Extraction From Documents Using Deep Learning Joshua Staker Kyle Marshall Robert Abel Carolyn McQuaw 19 73 0 14 Feb 2018
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 172 1,778 0 02 Mar 2017