Jimmy Ba
University of Toronto(CA)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Domain Adaptation and Few-Shot Learning, Topic Modeling, Advanced Neural Network Applications, Stochastic Gradient Optimization Techniques
Most-Cited Works
- → Adam: A Method for Stochastic Optimization(2014)84,465 cited
- → Show, Attend and Tell: Neural Image Caption Generation with Visual Attention(2015)7,495 cited
- → Do Deep Nets Really Need to be Deep?(2013)1,480 cited
- → Multiple Object Recognition with Visual Attention(2014)701 cited
- → Layer Normalization(2016)498 cited
- → Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation(2017)470 cited
- → Classifying and segmenting microscopy images with deep multiple instance learning(2016)444 cited
- → Lookahead Optimizer: k steps forward, 1 step back(2019)381 cited
- → Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions(2015)337 cited