Balakrishnan Narayanaswamy
Artificial Intelligence · 2014–2019
A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it; #8,381 of 35,345 by trust here, #13,163 by citations
- Management Science and Operations Research — 16 citations into it; #2,696 of 11,946 by trust here, #3,153 by citations
- Reinforcement Learning — 15 citations into it
- Statistics and Probability — 13 citations into it
- Information Systems — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Balakrishnan Narayanaswamy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James M. Robins
- Richard S. Sutton
- Mehmet Fatih Akay
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Graves
- Lihong Li
- Guillaume Chevillon
- Thorsten Joachims
- J. Langford
Who trusts Balakrishnan Narayanaswamy overall
- Zachary Chase Lipton
- Bryan Lim
- Jan Gasthaus
- David C. Kale
- Bernie Wang
- Haixu Wu
- Konstantinos Benidis
- Tim Januschowski
- Dhruv Madeka
Papers from Balakrishnan Narayanaswamy's perspective
Ordered by how strongly the researchers Balakrishnan Narayanaswamy trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- A Multi-Horizon Quantile Recurrent Forecaster (2017) — 527 citations
- Imitation-Regularized Offline Learning (2019) — 28 citations
- Optimal Thresholding of Classifiers to Maximize F1 Measure (2014) — 449 citations