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Papers
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective
AAAI 2024
On the Weight Dynamics of Deep Normalized Networks
ICML 2024
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
ICLR 2024
Constrained Weight Optimization for Learning Without Activation Normalization
WACV 2021
Training Recurrent Neural Networks via Forward Propagation Through Time
ICML 2021
Training Stronger Baselines for Learning to Optimize
NeurIPS 2020
Normalization Helps Training of Quantized LSTM
NeurIPS 2019
How to Start Training: The Effect of Initialization and Architecture
NeurIPS 2018
Mean Field Residual Networks: On the Edge of Chaos
NeurIPS 2017
Preventing Gradient Explosions in Gated Recurrent Units
NeurIPS 2017