Nikhil R. Devanur
Artificial Intelligence · 2002–2020
A researcher in the Science corpus: 6 papers; trusts 60 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 54 citations into it; #27,004 of 35,345 by trust here, #8,210 by citations
- Computer Vision and Pattern Recognition — 46 citations into it; #16,549 of 21,575 by trust here, #5,620 by citations
- Optimization & Training — 34 citations into it; #2,165 of 2,601 by trust here, #759 by citations
- Computer Networks and Communications — 20 citations into it; #3,142 of 9,886 by trust here, #6,788 by citations
- Model Architectures — 15 citations into it
- ML Systems & Hardware — 14 citations into it
- Natural Language Processing — 14 citations into it
- Evaluation & Benchmarks — 9 citations into it
Whom Nikhil R. Devanur trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aranyak Mehta
- Niv Buchbinder
- Alex Krizhevsky
- Kenneth J. Arrow
- Geoffrey E. Hinton
- Diederik P. Kingma
- Karen Simonyan
- W. Hoeffding
- Robert D. Kleinberg
- Ilya Sutskever
Who trusts Nikhil R. Devanur overall
- Aranyak Mehta
- Matthew O. Jackson
- Chien-Ju Ho
- Shipra Agrawal
- Aleksandrs Slivkins
- Jennifer Wortman Vaughan
- Zizhuo Wang
- D. Golovin
- É. Tardos
- Weinan Zhang
Papers from Nikhil R. Devanur's perspective
Ordered by how strongly the researchers Nikhil R. Devanur 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- PipeDream: generalized pipeline parallelism for DNN training (2019) — 1,228 citations
- PipeDream: Fast and Efficient Pipeline Parallel DNN Training (2018) — 317 citations
- Efficient Algorithms for Device Placement of DNN Graph Operators (2020) — 81 citations
- The adwords problem: online keyword matching with budgeted bidders under random permutations (2009) — 413 citations
- Market equilibrium via a primal-dual-type algorithm (2002) — 314 citations
- ProjecToR: Agile Reconfigurable Data Center Interconnect (2016) — 348 citations