72 citations · 138 across the 2 of their papers we have counts for
2 papers
stat.ML2017★ 66 cited
Multi-level Residual Networks from Dynamical Systems View
Bo Chang, Lili Meng, Eldad Haber +2
Deep residual networks (ResNets) and their variants are widely used in many computer vision applications and natural language processing tasks. However, the theoretical principles…
cs.CV2017★ 72 cited
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
Bo Chang, Lili Meng, Eldad Haber +3
Recently, deep residual networks have been successfully applied in many computer vision and natural language processing tasks, pushing the state-of-the-art performance with deeper…