Nan Rosemary Ke
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 22 papers; trusts 791 researchers and is trusted by 41 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 783 citations into it; #5,394 of 35,345 by trust here, #2,637 by citations
- Computer Vision and Pattern Recognition — 361 citations into it; #21,559 of 21,575 by trust here, #13,269 by citations
- Causal Inference & Discovery — 201 citations into it; #318 of 364 by trust here, #164 by citations
- Reinforcement Learning — 195 citations into it; #2,051 of 2,242 by trust here, #876 by citations
- Natural Language Processing — 175 citations into it; #4,263 of 5,688 by trust here, #1,487 by citations
- Model Architectures — 172 citations into it; #2,120 of 2,278 by trust here, #625 by citations
- Representation & Self-Supervised Learning — 158 citations into it; #1,708 of 3,145 by trust here, #1,138 by citations
- Signal Processing — 98 citations into it; #4,649 of 7,572 by trust here, #3,673 by citations
Whom Nan Rosemary Ke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Graves
- Alex Krizhevsky
- Sepp Hochreiter
- J. Urgen Schmidhuber
- Richard S. Sutton
- Ronald J. Williams
- Ilya Sutskever
Who trusts Nan Rosemary Ke overall
- Anirudh Goyal
- Yoshua Bengio
- Bernhard Schölkopf
- Zhe Gan
- Nikolaos Passalis
- Erik Nijkamp
- Yang Song
- Yi Tay
- Sergey Levine
- Yen-Chun Chen
Papers from Nan Rosemary Ke's perspective
Ordered by how strongly the researchers Nan Rosemary Ke trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations (2016) — 331 citations
- Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding (2018) — 94 citations
- Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net (2017) — 57 citations
- Ethical Challenges in Data-Driven Dialogue Systems (2017) — 190 citations
- Task Loss Estimation for Sequence Prediction (2015) — 33 citations
- Causally Correct Partial Models for Reinforcement Learning (2020) — 36 citations
- Coordination Among Neural Modules Through a Shared Global Workspace (2021) — 117 citations
- A Deep Reinforcement Learning Chatbot (2017) — 245 citations
- Transferring knowledge from a RNN to a DNN (2015) — 77 citations
- Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future (2019) — 55 citations
- Learning Neural Causal Models from Unknown Interventions (2019) — 192 citations
- Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning (2021) — 77 citations
- Toward Causal Representation Learning (2021) — 1,515 citations
- Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks (2017) — 15 citations
- Focused Hierarchical RNNs for Conditional Sequence Processing (2018) — 25 citations
- Towards Causal Representation Learning (2021) — 361 citations
- Neural Production Systems (2021) — 94 citations
- A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms (2019) — 379 citations
- Z-Forcing: Training Stochastic Recurrent Networks (2017) — 198 citations
- The Octopus Approach to the Alexa Competition : A Deep Ensemble-based Socialbot (2017)