Co-occurring keywords · papers mentioning both
Papers
Improving Transformer Optimization Through Better Initialization
ICML 2020
Learning Reasoning Strategies in End-to-End Differentiable Proving
ICML 2020
Learning to Generate 3D Training Data Through Hybrid Gradient
CVPR 2020
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients
AAAI 2020
Stochastic Loss Function
AAAI 2020
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees
IJCAI 2019
P2SGrad: Refined Gradients for Optimizing Deep Face Models
CVPR 2019
Sampling Networks and Aggregate Simulation for Online POMDP Planning
NeurIPS 2019
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation
EMNLP 2018
Efficient multiple hyperparameter learning for log-linear models
NeurIPS 2007