mil-benchmarks: Standardized Evaluation of Deep Multiple-Instance Learning Techniques

4 May 2021

Papers citing "mil-benchmarks: Standardized Evaluation of Deep Multiple-Instance Learning Techniques"

5 / 5 papers shown

Title
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 280 8,878 0 25 Aug 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 365 7,319 0 13 Jun 2016
Audio Event Detection using Weakly Labeled Data Anurag Kumar Bhiksha Raj 49 173 0 09 May 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 269 11,152 0 14 Mar 2016
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning Oren Z. Kraus Lei Jimmy Ba B. Frey 195 392 0 17 Nov 2015